GRADUATE FACULTY COUNCIL DOC NO. 945 Approved April 19, 2004

GRADUATE FACULTY COUNCIL DOC NO. 945 Approved April 19, 2004 RECOMMENDATION OF THE GRADUATE CURRICULUM COMMITTEE, AND THE FACULTY OF THE COLLEGE OF ENGINEERING AND APPLIED SCIENCE FOR AUTHORIZATION TO IMPLEMENT THE DOCTOR OF PHILOSOPHY IN MEDICAL INFORMATICS DEGREE PROGRAM 1. PROGRAM DESCRIPTION 1.1 Title of Proposed Program PhD in Medical Informatics 1.2 Department or Functional Equivalent Sponsoring the Program Department of Electrical Engineering and Computer Science This is an interdisciplinary program developed in collaboration with the following academic units: College of Health Sciences (UWM) School of Business Administration (UWM) School of Information Studies (UWM) College of Nursing (UWM) Medical College of Wisconsin 1.3 College, School or Functional Equivalent College of Engineering and Applied Science 1.4 Timetable for Implementation Fall 2004 2. CONTEXT 2.1 History of Program The origins of the proposed program can be traced to earlier collaborative efforts between Computer Science (CS) and Medical College of Wisconsin (MCW) faculty. A project funded by the Whitaker Foundation supported joint research in the application of case-based reasoning to the selection of diagnostic imaging procedures. An equipment grant from Sun Microsystems and a grant from the Will Ross Memorial Foundation funded joint work on the use of Bayesian networks to develop a system for the diagnosis of breast cancer. These projects resulted not only in research publications and graduate student theses in Computer Science, but also in the development of practically useful software. Further, the

Graduate Faculty Council Doc. No. 945 p. 2 Approved April 19, 2004 collaboration led to the joint teaching of an Advanced Special Topics CS course (titled Medical Informatics) by two faculty (one from MCW and the other from UWM-CS). This productive initial partnership inspired the vision to develop a broad collaborative PhD program in Medical Informatics involving MCW, CS and other academic disciplines at UWM. The proposed PhD program is unique in that it draws on the collective strengths of several academic units across the UWM campus and at MCW. Units initially participating at UWM are the College of Engineering and Applied Science (CEAS), the College of Health Sciences, the School of Business Administration, the School of Information Studies, and the College of Nursing. The curriculum will consist of a common set of core courses and four tracks. The four tracks will be Knowledge Based Systems, Health Services Management and Policy, Health Information Systems, and Medical Imaging and Instrumentation. 2.2 Instructional Setting of Program The program will be housed in the Department of Electrical Engineering and Computer Science in the College of Engineering and Applied Science, and will be guided by a Medical Informatics Steering Committee consisting of eight faculty; one from each of the participating academic units at UWM and two from MCW. Now we briefly identify the existing graduate programs in the participating units in order to provide a context of the proposed new program. CEAS currently offers a PhD program with six areas of concentration that include Computer Science and Electrical Engineering. The College also offers MS degrees in Engineering as well as in Computer Science. The School of Business Administration (SBA) offers a PhD program and MS, MBA and Executive MBA programs. The areas of concentration in Healthcare Management, ebusiness, and Management Information Systems in the SBA graduate programs are directly related to the proposed program. The College of Nursing (NUR) offers PhD and MS programs, both of which are relevant to the proposed program. Nursing has offered a number of distance education courses and recently launched an on-line option for their PhD program. The College of Health Sciences (CHS) has recently developed a PhD program in Health Sciences and an MS program in Health Care Informatics. Both these new programs are being implemented, and will be clearly relevant to the PhD program in Medical Informatics. CHS also offers MS programs in Clinical Laboratory Sciences, Kinesiology, and Communication Sciences and Disorders and Occupational Therapy. The School of Information Studies offers a Master of Library and Information Science degree and a number of coordinated master s degree programs in cooperation with several academic units at UWM.

Graduate Faculty Council Doc. No. 945 p. 3 Approved April 19, 2004 Besides the above graduate programs at UWM, there are MS, MD and PhD programs offered by MCW that will be of significance to our new program. MCW offers PhD degrees in several areas including Biochemistry, Biophysics, Biostatistics and Molecular Genetics. Also, MCW offers an MS program in Medical Informatics jointly with the Milwaukee School of Engineering and a PhD degree in Functional Imaging and an MS degree in Bioinformatics jointly with Marquette University. Thus, already in place there is a rich set of related graduate programs offered by the academic units participating in the proposed PhD program. The new program will benefit from these existing graduate programs through current course offerings, faculty, research facilities and projects. Similarly, the existing programs will be enriched by the synergism of the new program. 2.3 Relation to Mission Statement and Strategic Academic Plan The proposed PhD program in Medical Informatics supports UWM's core mission as an urban doctoral research institution and is supported through UWM's Strategic Investment Plan, and The Milwaukee Idea themes and initiatives. In particular, it complements and strengthens the partnership for the Environment Health Initiative, which aims to found an institute that will include a functional unit for Environmental and Public Health Sciences. It will also complement the Healthy Choices Initiative, one thrust of which is "to assess quality of care and outcomes for services provided to various target populations." The program also fits well within the Milwaukee Technology Initiative, which is planned to support technological innovations in areas including, "software development, information technology, and medical records." The program furthers the goals outlined in the document, "Investing in UWM's Future." The document states that among the university's goals are to "sustain and increase the number of doctoral programs" and, to "restore, enhance, and create interactive groups of scholars working collaboratively within and across programs at UWM and with other regional and international universities." Furthermore, the program addresses an important goal in the College of Engineering and Applied Science's Resources Planning Document (1999) that calls for an "increase (in) the collaborative and interdisciplinary activities" in CEAS. We believe the collaborative PhD program in Medical Informatics will be a valuable curricular addition to UWM as well as to UW System program array.

Graduate Faculty Council Doc. No. 945 p. 4 Approved April 19, 2004 3. NEED 2.4 Program Array History UWM s five-year program array history (1998-1999 to 2002-2003). Discontinued Programs: Health Information Administration (BS) Educational Rehabilitation Counseling (MS) New Programs: Information Resources (BS) Atmospheric Sciences (BS) Liberal Studies (MS) Biochemistry (BS) Global Studies (BS) History (PhD) Health Sciences (PhD) Health Care Informatics (MS) 3.1 Comparable Programs in Wisconsin Currently, there is no PhD program in Medical Informatics in Wisconsin. UW- Madison, however, offers a Biomedical Informatics track within the Computer Science PhD program, although UW-Madison has a Department of Biostatistics and Medical Informatics in the Medical School. The emphasis of the UW-Madison program is on Bioinformatics, which can be defined as the use and development of algorithmic tools to facilitate biological analyses, the determination, identification, and comparison of genetic sequences (genomics) and proteins (proteomics), as well as associated database-like activities for archiving and disseminating resulting information. Since Bioinformatics is not currently a track in our proposed program, we see the two programs as complementary. Our consultations with faculty in the Department of Computer Science and the Department of Biostatistics and Medical Informatics at UW-Madison have indicated support for our program. One MS program in Medical Informatics exists in Wisconsin. The Milwaukee School of Engineering and the Medical College of Wisconsin have started this joint MS program. "The major goal of this graduate program is to educate professionals who will develop, apply and manage information systems used by healthcare organizations to deliver more efficient and effective patient care" (Medical College, 1997). In addition, the College of Health Sciences at UWM is in the process of implementing an MS program in Health Care Informatics. This is an interdisciplinary program including courses from Health Sciences, Computer Science, Management Information Systems, Information Studies and Nursing. It is anticipated that these two master s programs will act as feeders to the proposed PhD program.

Graduate Faculty Council Doc. No. 945 p. 5 Approved April 19, 2004 3.2 Comparable Programs Outside Wisconsin Seven well-established Medical Informatics PhD programs exist in the US. There are minor variations in the titles of the programs. Columbia University: Medical Informatics Duke University: Medical Informatics Stanford University: Biomedical Informatics UC-San Francisco: Biological and Medical Informatics University of Minnesota: Health Informatics University of Pittsburgh: Biomedical Informatics University of Utah: Medical Informatics All the above programs are interdisciplinary and have affiliations with medical schools. Of the seven Programs, the only program in the Midwest is the Health Informatics program at the University of Minnesota. This program is located within the Department of Laboratory Medicine and Pathology in the Medical School. Their website (http://www.hinf.umn.edu/) lists forty students pursuing graduate education (MS and PhD) in Health Informatics. The focus of research in this program is on Public Health Informatics, Clinical Decision Support, Neuro-Imaging and Telemedicine. In comparison, our program encompasses the four tracks: Knowledge Based Systems, Health Services Management and Policy, Health Information Systems, and Medical Imaging and Instrumentation. A unique feature of our proposed program is that it is characterized by the comprehensive covering of not only clinical but also administrative computing applications. One of the main challenges of the practice of Medical Informatics is how to link and integrate these systems. Graduates of our proposed program will be better prepared to deal with the realities of what is found in a large part of the medical and healthcare industry and not just what is found in a university medical center. 3.3 Regional, State and National Needs We contacted two program directors at the National Library of Medicine to elicit their views on the need for new PhD programs in Medical Informatics. They indicated that Medical Informatics is a relatively new discipline, with relatively few PhD programs. Furthermore, it is a growing field in terms of operations and there is a need for more PhDs to train people in applied informatics and to carry on research. The graduates of the various Medical Informatics programs are in high demand and are employed in diverse settings. We discuss the experience of two premier Medical Informatics programs (Utah and Stanford) to highlight the needs and employment opportunities of graduates.

Graduate Faculty Council Doc. No. 945 p. 6 Approved April 19, 2004 Patton and Gardner report on the Utah experience [1]. The University of Utah has been educating health professionals in Medical Informatics since 1964. A vast majority of the students had prior graduate training before their entry into their program. The program alumni are employed mostly in industry (37%), integrated healthcare delivery organizations (27%) and universities (23%). The majority of the graduates (107) came from Utah and most of them are employed there after graduation. The program has awarded 121 Masters and 88 PhD degrees during the period 1964-1999. Shortliffe and Graber report on the Stanford experience linking Medical Informatics and health services research for more than two decades [2]. The steady state enrollment at Stanford has been around 30 students at any one time. The interest in the program is evidenced by over 100 applications received each year. Of these, Stanford typically admits only four to six students. As of 2002, over a period of two decades, this program has graduated about 80 students with MS or PhD degrees (roughly half Ph.D). Roughly half work in academia and the other half in industry. An indication of the growing interest in this field is a recent trend to offer graduate degree programs in areas closely related to Medical Informatics. An example can be seen by the programs offered by the School of Biomedical and Health Information Sciences at the University of Illinois-Chicago. The school offers MS degrees in Biomedical Visualization, Health Informatics and Medical Laboratory Sciences. Healthcare is one of the largest industries and employers in southeast Wisconsin. The health care workforce in this region will benefit directly and indirectly from an advanced interdisciplinary graduate program in Medical Informatics that seeks to integrate clinical and administrative applications of Information Technology in medicine. We have already received inquiries about the proposed program from people employed in local industry and health care organizations. We expect that the program will attract a significant number of part-time students in addition to students who wish to be enrolled fulltime. This expectation is based on our experience with other graduate programs at UWM. These part-time students enrich the programs through their valuable work experience. Finally, in developing this proposal, we have consulted with the Computer Science Industrial Advisory Council at UWM. This Council has membership of several industry and business organizations in Southeast Wisconsin, including GE Medical Systems. Over the years the Council has provided valuable advice to the Computer Science Program at UWM on a broad range of issues of interest to Wisconsin industry, including curricular matters. This proposal for a new PhD program in Medical Informatics has received the strong support of the Council. 1 Gregory A. Patton and Reed M. Gardner, Medical Informatics Education: The University of Utah Experience, Journal of the American Medical Informatics Association, vol 6 no 6, December, 1999. 2 Edward H. Shortliffe and Alan M. Garber, Training Synergies Between Medical Informatics and Health Services Research: Successes and Challenges, Journal of the American Medical Informatics Association, vol 9 no 2, March/April, 2002

Graduate Faculty Council Doc. No. 945 p. 7 Approved April 19, 2004 3.4 Student Demand Future Enrollment As we have indicated above, the program is likely to draw applicants from health care organizations, such as HMOs and hospitals, local industry, and graduates in the academic disciplines represented by the various participating units. Once the program is implemented, the program plans to admit four to six students in each of the first three years. Half of them are expected to be part-time students. In three years we expect a steady-state enrollment of about 15. 1 st Year 2 nd Year 3 rd Year 4 th Year 5 th Year New Students Admitted 4 5 6 6 6 Continuing Students 0 3 7 10 12 Total Enrollment 4 8 13 16 18 Graduating Students 0 0 1 2 3 3.5 Collaborative or Alternative Program Exploration The proposed program is a collaborative program that initially includes MCW and seven academic programs at UWM. 4. PROGRAM DESCRIPTION AND EVALUATION 4.1 Objectives The PhD program in Medical Informatics is an advanced interdisciplinary graduate program involving UWM and MCW. The term informatics is defined as the science that studies the use and processing of data, information, and knowledge (van Bemmel & Musen, 1997). Medical Informatics is the field that concerns itself with the cognitive, information processing, and communication tasks of medical practice, education, and research, including the information sciences and technology to support these tasks (Greenes & Shortliffe, 1990). Medical Informatics includes the application of information technology in clinical medicine, medical record keeping, medical instrumentation, and health management. The goal of our proposed program is to prepare graduates to perform research in these areas in order to advance the state-of-the-art, as well as to assume leadership roles in the healthcare industry. The proposed PhD program is unique in that it draws on the collective strengths of several academic units across the UWM campus and at MCW. Units initially participating at UWM are the College of Engineering and Applied Science, the College of Health Sciences, the School of Business Administration, the School of Information Studies, and the College of Nursing. The curriculum will consist of a common set of core courses and four tracks. The four tracks will be Knowledge Based Systems, Health Services Management and Policy, Health Information Systems, and Medical Imaging and Instrumentation. The program will

Graduate Faculty Council Doc. No. 945 p. 8 Approved April 19, 2004 be coordinated by a steering committee consisting of members from the participating units at UWM and from MCW. The interdisciplinary degree program has the following main objectives: 1. To provide advanced study and research training opportunities in the medical and health information science disciplines. 2. To build cohorts of scholars who are capable of advancing the theoretical as well as empirical base that supports discovery of new knowledge, and its transfer and delivery to scientific communities in general and medical and health informatics communities in particular. 3. To prepare future leaders in Medical Informatics related academic and scientific disciplines. Expected Outcomes and Competencies We expect that the graduates of this program will have the ability to: Critically review, analyze, and summarize the literature in a specific Medical Informatics area; Design, conduct, and analyze original Medical Informatics research that adds to the existing body of scientific knowledge; Apply research findings in a way that improves methods or approaches to existing techniques in Medical Informatics; Demonstrate proficiency in written, verbal, and electronic modes of communication in the Medical Informatics sciences; Publish research findings in peer-reviewed scientific journals and conferences; Successfully present and defend original research findings; Establish interdisciplinary collaborations through education and research; and Function in a leadership role in an academic, research, or technical/clinical setting. 4.2 Curriculum Medical Informatics PhD Steering Committee A steering committee will be responsible for the overall direction and supervision of the PhD program and its curriculum. The eight committee members will be appointed by the Dean of the CEAS, with one member from each of the participating units at UWM. In addition, two members will be named by MCW. All students will work with a faculty advisor from the beginning and develop a program of study that should be approved by the steering committee. Admission requirements An applicant must meet the UWM Graduate School requirements plus the following additional requirements to be considered for admission to the Medical Informatics PhD program.

Graduate Faculty Council Doc. No. 945 p. 9 Approved April 19, 2004 Master s degree in Medical Informatics or a related area such as Computer Science, Electrical Engineering, Health Sciences, Business Administration, Nursing, or an MD degree. Exceptionally strong candidates with a Bachelor s degree in a related area will also be considered for admission. Statement of professional and/or scholarly accomplishments and a letter of intent specifying areas of interest and career goals. At least two letters of recommendation that attest to academic and/or professional qualifications. Scores from the GRE (general) or GMAT or MCAT; test taken within the last five years. Description of Individualized Concentration The purpose of this proposed PhD program is to train graduate students to become intellectually rigorous scholars and professionally astute Medical Informatics researchers who will be capable of meeting the requirements of the academy, industry, health care organizations, and society in the areas at the interface of Medicine and Information Technology. Based on current commitments from the departments in the two institutions involved in this proposal, UWM and MCW, there are four tracks of study open to each student. The tracks contain enough flexibility to accommodate a wide range of student interests. Each student will consult with his/her advisor and other program faculty members to develop an individualized course of study within a particular track. The resulting individualized concentrations will build on students knowledge, experience, and interests, and will draw from the strengths of the involved departments and faculty at UWM and MCW. This cross-disciplinary curricular approach appropriately reflects the emerging, complex nature of the field of Medical Informatics. PhD graduates in Medical Informatics will bring an interdisciplinary vision to the departments and programs in which they will serve as faculty or staff members. The individualized concentration format has important scholarly and professional purposes. By constructing his/her concentration in consultation with faculty members, each student will have a meaningful opportunity to integrate disparate categories within Medical Informatics. The student s active involvement in shaping his/her course of study will help to cultivate effective decision-making abilities and the capacity for original thinking about Medical Informatics concepts. Consequently, students will be encouraged to become adaptable, self-reliant, and proficient in addressing research problems and unique challenges that ultimately will arise in their professional experience. The degree is philosophically conceptualized as involving several disciplines in a collaborative learning process with the goal of fostering inter-professional interactions and inquiry. This degree will build upon existing graduate programs and research in the participating units. Qualified students with a background in any of these programs and related fields will be considered for admission. As the program is implemented, we can expect the participation of additional UWM academic units.

Graduate Faculty Council Doc. No. 945 p. 10 Approved April 19, 2004 The proposed PhD program encompasses the following four tracks: Knowledge Based Systems Track The Knowledge Based Systems track is designed to train students in the development of techniques to support decision-making in medical practice (including both clinical and administrative decision-making) and customized instruction on health and medical topics for patients and healthcare providers. Technical areas include decision analysis, expected utility theory and cost-effectiveness analysis, computer-based decision support systems, user modeling and user interface design, intelligent tutoring systems, knowledge representation, structured reporting, and data mining and knowledge discovery. Health Services Management & Policy Track Health services management and policy research is broad in scope and touches on all of the standard functional business areas (e.g., management, strategy and marketing, finance/economics, management information systems, human resources management) in addition to government health policy/reimbursement/regulation, insurance and other payer mechanisms, dealing with health professionals, and illness/health in individuals and in populations. The track is designed to equip students to deal with both management information and population health and illness information and research, to understand the implications of such information and research, and to transform inferences from that information and research into practical recommendations on the national, state, and local levels. By its nature, it is applied to health services settings including hospitals, skillednursing facilities, medical group practices, public health agencies, mental health services, managed care organizations, and integrated health networks. Health Information Systems Track The track in Health Information Systems centers on the role of administrative and clinical information systems in health care organizations. Attention will be directed to the design, implementation, and maintenance of the broad array of computer applications used in the health care industry. An interdisciplinary approach will be taken drawing on expertise from the health professions, management information systems, and library and information science. Curricular content will range from systems analysis and design, system efficacy and management, to e-commerce. Medical Imaging and Instrumentation Track The track in Medical Imaging and Instrumentation is designed to train students in understanding and developing medical imaging systems and medical electronic instrumentation. The aspects emphasized in this track are medical imaging systems, image processing, computer vision, pattern recognition, medical instrumentation development and optimization, computer modeling, applications of electric and magnetic fields, and wireless communication. Curricular Structure and Degree Requirements Students enrolled in this program must follow all UWM Graduate School requirements and regulations. The minimum requirement for the PhD in Medical Informatics will be 61-67

Graduate Faculty Council Doc. No. 945 p. 11 Approved April 19, 2004 credits beyond the Bachelor s degree. Up to 24 credits from a related master s degree may be applied toward the PhD. The curriculum will consist of a common set of core courses for all tracks, required and elective courses for each individual track, and the dissertation. The purpose of the core is to ensure that all graduates of the program share a basic common knowledge in Medical Informatics. The purpose of the tracks is to enable the students to develop significant strengths in specific sub-areas within Medical Informatics. The courses identified in the curriculum are offered by UWM or MCW and, in some case, by both institutions. Following are descriptions of these components and their corresponding credit requirements. Core Courses (16 to 20 credits) The core courses provide a comprehensive structure for the foundations needed for all students in Medical Informatics irrespective of their special interests. This includes a series of seminars that deal with different aspects of Medical Informatics. All students must take the following core courses or must have taken equivalent courses in previous study. Courses Credits Medical Informatics, MCW 13200(A,B), (6 quarter credits) or 4 credits Health Care Informatics, UWM HCA700 2 credits Human Pathophysiology, UWM CLSci701 and CLSci702 6 credits Medical Informatics Seminar, MCW/UWM COMPSCIXXX 4 credits (New course to be developed that consists of four 1-credit seminars) Data Bases, UWM COMPSCI557 or BUS ADM749 Medical Ethics, MCW 12202 or 1 credit UWM BUS ADM795 or HCAXXX (to be developed) Knowledge Based Systems Track: (3 of course work & 12 credits of dissertation) Required Track Courses/12 credits COMPSCI535: Data Structures and Algoruthms COMPSCI710: Artificial Intelligence COMPSCIXXX: Data Mining in Medicine COMPSCI743: Intelligent User Interfaces Required Mathematics & Quantitative Methods/6 credits Statistics ( from the following list) BUS ADM795: Multivariate Techniques in Management Research BUS ADM912: Statistical Methods for Management Research ED PSY624: Educational Statistical Methods I MATH767: Statistical Methods for Engineers and Scientists MTHSTAT761: Mathematical Statistics Probability ( from the following list) ECON413: Statistics for Economists MATH771: Theory of Probability Credits

Graduate Faculty Council Doc. No. 945 p. 12 Approved April 19, 2004 Elective Track Courses/15 credits Computing and Applications (9-15 credits from the following list) BUS ADM 741: Decision Support Systems and Groupware BUS ADM 746: Data Warehousing BUS ADM 814: Intelligent Systems for Business BUS ADM 995: Doctoral Seminar in Decision Sciences BUS ADM 998: Doctoral Seminar in Management Information Systems COMPSCI458: Computer Architecture COMPSCI459: Fundamentals of Computer Graphics COMPSCI469: Introduction to Computer Security COMPSCI520: Computer Networks COMPSCI720: Computational Models of Decision Making COMPSCI722: Artificial Intelligence Planning Techniques COMPSCI723: Natural Language Processing COMPSCI711/ELECENG711: Pattern Recognition COMPSCI747: Human-Computer Interaction COMPSCI757: Database Organization and File Structure COMPSCI780: Multimedia Systems COMPSCI810: Knowledge Representation COMPSCIXXX/MCW XXX: Introduction to Medical Decision Making COMPSCI999: Advanced Independent Study ED PSY631: Cognition Learning, Problem Solving and Thinking ED PSY633: Applications of Learning Theories to Computer-Based Instruction L&I SCI635: Digital Libraries L&I SCI637: Information Storage and Retrieval MTHSTAT861: Decision Theory MTHSTAT862: Decision Theory NURSXXX: Health Care Terminology Standards Quantitative Analysis (Up to 6 credits from the following list) BUS ADM 918: Doctoral Seminar in Behavioral Research Methods BUS ADM 995: Topics: Doctoral Seminar in Decision Sciences ED PSY724: Educational Statistical Methods II ED PSY823: Structural Equation Modeling ED PSY824: Advanced Experimental Design and Analysis ED PSY825: Multiple Regression and Multivariate Methods ED PSY826: Analysis of Cross-Classified Categorical Data ED PSY829: Methods of Scale Construction and Multidimensional Scaling MTHSTAT762: Mathematical Statistics Dissertation/12 Credits COMPSCI998: Doctoral Thesis (variable credits)

Graduate Faculty Council Doc. No. 945 p. 13 Approved April 19, 2004 Health Services Management & Policy Track: (3 of course work and 12 credits of dissertation) Required Track Courses/18 credits BUS ADM755: Health Care Administration BUS ADM757: Managed Care and Integrated Health Networks ECONXXX: Health Care Economics BUS ADM744: Management of Information Systems BUS ADM996: Essential Topics in Strategic Management BUS ADM996: Advanced Topics in Strategic Management Required Mathematics and/or Quantitative Methods/6 credits BUS ADM918: Doctoral Seminar in Behavioral Research Methods and BUS ADM795: Multivariate Techniques in Management Research OR ECON513: Econometrics and ECON710: Applied Econometrics Credits Elective Track Courses/9 credits from the following list BUS ADM913: Advanced Business Forecasting Methods BUS ADM995: Advanced Multivariate Techniques in Management Research BUS ADM756: Health Care Delivery Systems BUS ADM893: Infrastructure for Electronic Business BUS ADM738: Human Resource Management BUSMGMT706: Managing in a Dynamic Environment BUSMGMT715: Leadership, Team Building, and Effective Management HCA721: Health Information Technology Procurement HCA723: Health Care Systems Applications Administrative and Clinical COMPSCIXXX/MCW XXX: Introduction to Medical Decision Making NURSXXX: System Implementation in Clinical Environments NURS727: Epidemiology NURS750: Evaluation of the Quality of Health Care URB STD840: Community Health Planning URB STD841: Health Policy in Urban Society Dissertation/12 credits BUS ADM997: Doctoral Dissertation 2 credits (variable credits)

Graduate Faculty Council Doc. No. 945 p. 14 Approved April 19, 2004 Health Information Systems Track: (35 credits of course work and 12 credits of dissertation) Required Track Courses/20 credits BUS ADM744: Management of Information Systems BUS ADM747: Systems Analysis and Design COMPSCIXXX/MCW XXX: Introduction to Medical Decision Making HCA721: Health Information Technology Procurement HCA723: Health Care Systems Applications Administrative and Clinical HCAXXX: Advanced Concepts in Health Care Systems COMPSCI759: Data Security or BUS ADM893: Infrastructure for Electronic Business Research Methods/ from the following list IND ENG716: Engineering Statistical Analysis BUS ADM714: Multivariate Techniques in Management Research BUS ADM795: Multivariate Techniques in Management Research BUS ADM912: Statistical Methods for Management Research BUS ADM918: Doctoral Seminar in Behavioral Research Methods BUS ADM995: Doctoral Seminar in Decision Sciences NURS882: Qualitative Approaches to Nursing Research NURS883: Quantitative Approaches to Nursing Research Elective Track Courses/12 credits from the following list BUS ADM755: Health Care Administration BUS ADM756: Health Care Delivery Systems BUS ADM757: Managed Care and Integrated Health Networks BUS ADM812: Emerging Information Technologies BUS ADM998: Doctoral Seminar in Management Information Systems COMPSCI458: Computer Architecture COMPSCI459: Fundamentals of Computer Graphics COMPSCI469: Introduction to Computer Security COMPSCI520: Computer Networks COMPSCI747: Human-Computer Interaction COMPSCI760: Computer Systems Performance Evaluation HCAXXX: Evaluation of Health Care Information Systems L&I SCI635: Digital Libraries L&I SCI637: Information Storage and Retrieval L&I SCI817: Information Sources and Services in the Health Sciences NURSXXX: Health Care Terminology Standards NURSXXX: System Implementation in Clinical Environments OCCTHPY760: Assistive and Rehabilitation Technology Dissertation/12 credits COMPSCI998: Doctoral Thesis Credits 2 credits (variable credits)

Graduate Faculty Council Doc. No. 945 p. 15 Approved April 19, 2004 Medical Imaging & Instrumentation Track: (3 of course work & 12 credits of dissertation Required Track Courses/18 credits Credits ELECENG436: Introduction to Medical Instrumentation ELECENG711/COMPSCI711: Pattern Recognition Statistical, Neural and Fuzzy Approaches ELECENG712/COMPSCI712: Image Processing ELECENGXXX: Advanced Medical Instrumentation ELECENGXXX: Medical Imaging ELECENG890/COMPSCI790: Special Topics in Medical Signal Processing and Imaging Elective Track Courses/15 credits from the following list ELECENG410: Digital Signal Processing ELECENG420: Random Signals and Systems ELECENG701: Advanced Linear System Analysis ELECENG713/COMPSCI713: Computer Vision ELECENG718: Advanced Nonlinear Systems Analysis ELECENG741: Electromagnetic Fields and Waves ELECENG742: Electromagnetic Wave Theory ELECENG765: Optical Information Processing and Holography ELECENG810: Advanced Digital Signal Processing ELECENG890/COMPSCI790: Special Topics in Medical Instrumentation COMPSCI520: Computer Networks COMPSCI720: Computational Models of Decision Making COMPSCI730: Advanced Computer Networks COMPSCI747: Human-Computer Interaction COMPSCI757: Database Organization and File Structure COMPSCI759: Data Security COMPSCI767: Relational Databases COMPSCI780: Multimedia Systems COMPSCI810: Knowledge Representation ELECENG710/COMPSCI 710: Artificial Intelligence COMPSCI755: Information and Coding Theory Dissertation/12 credits ELECENG998: Doctoral Thesis (variable credits) Additional Requirements Qualifying Examination: A qualifying examination must be taken to determine whether the student is prepared for doctoral level work in Medical Informatics. This examination is administered by the steering committee and must be taken prior to the completion of 21 credits of course work in the program.

Graduate Faculty Council Doc. No. 945 p. 16 Approved April 19, 2004 Doctoral Preliminary Examination: The student is also required to take a preliminary examination prior to the advancement of candidacy to determine the student s preparation for independent research. Prior to the examination, the student must present a proposal for a doctoral dissertation. The preliminary examination may cover both graduate course material and the dissertation proposal. The preliminary examination must be successfully completed within five years of initial enrollment. Dissertation: The candidate must complete a dissertation presenting independent original research that adds to the existing body of knowledge in Medical Informatics. It should be of a caliber that warrants publication in respected journals. Dissertation Defense: The final examination will be an oral defense of the dissertation but may also cover the general field of the primary area of study. The examination may not be taken until all other degree requirements are satisfied. A majority of the examination committee members must approve the dissertation in order for the student to pass. Time Limit: All components of the PhD program must be completed within 10 years of matriculation. 4.3 Interrelationship with Other Curricula Related PhD programs currently exist at MCW and at UWM in the participating academic units. They provide opportunities for collaboration through joint course offerings, faculty expertise on dissertation committees, and research/grant proposal development. As indicated earlier, in the future we can expect additional participation by other UWM graduate programs such as the Biological Science Program. In addition, tthere are also numerous collaborative opportunities to work with faculty and research staff in the many UWM Centers and Institutes such as the Center for Urban Initiatives and Research, the Center for Great Lakes Studies (and WATER Institute), the Institute for Environmental Health, and the Center for Addiction and Behavioral Health Research. It is anticipated that the new PhD program at UWM will also collaborate with UW-Madison Computer Science Department and UW-Madison Medical School in related areas. There is a history of interactions between the Computer Science faculty at UWM and UW-Madison, especially in the field of Artificial Intelligence. We anticipate the interactions will continue with the new program. 4.4 Method of Assessment or Evaluation The UW System requires all academic programs to be formally evaluated according to an established timetable using external consultants. The first such formal evaluation of this program will be held five years after it is launched. Several methods will be used to assess and evaluate program success.

Graduate Faculty Council Doc. No. 945 p. 17 Approved April 19, 2004 a. Monitoring admission to the program. Procedures will be established to track the number of inquiries and admissions to the program. Specific attention will be paid to GRE scores, and prior academic records. b. Tracking graduation rates and length of time to degree. Statistics will be gathered on the number of students graduating and the amount of time taken to complete the degree. c. Student and alumni evaluation An alumni directory will be created to maintain demographic information as well as job title, salary, employer, and email address. Regular follow-up surveys, at least once every five years, will be executed to keep the registry current. The follow-up will include a survey evaluating the program, whether it prepared graduates for the marketplace, and what steps could be taken to improve the curriculum. The survey will also evaluate research and professional contributions of the graduates of the program. Annually, the Medical Informatics PhD Steering Committee will review student evaluations of required program courses. These evaluations will be instrumental in assessing and improving program quality. d. Research publication and grant activity Publication records and grant activities of faculty and students in the program will be tracked regularly and will be used in formal program reviews. e. Faculty evaluation of the program. The Medical Informatics Steering Committee will meet at least once a semester to monitor and guide the program. Assurance of curricular outcomes and competencies will be achieved with oversight from the Steering Committee. All doctoral course syllabi and requirements will be periodically reviewed by the Committee to ensure that: 1) curricular outcomes and competencies appropriate for each course are included in its course syllabus; 2) the doctoral preliminary exam assesses, as appropriate, curricular outcomes and competencies; 3) the dissertation proposal, the dissertation, and the defense reflect a candidate s acquisition of an appropriate level of curricular outcomes and competencies.

Graduate Faculty Council Doc. No. 945 p. 18 Approved April 19, 2004 4.5 Accreditation Requirement There is no PhD Program accreditation in Medical Informatics. 4.6 Strengths or Unique Features A major strength of this program is its intrinsically interdisciplinary character. The program brings together two institutions, MCW and UWM, in a collaborative effort to provide advanced graduate education in Medical Informatics. In addition, the program brings together several academic units within UWM in a joint effort. The collaborative nature of the program is reflected in this proposal which was developed by a diverse group of faculty from MCW and UWM. This new program initiative is rooted in an earlier research partnership between MCW faculty and UWM Computer Science faculty in the field of Artificial Intelligence and its applications to medicine. We believe that the program will contribute to the further development of similar synergistic research projects and that it has the potential to facilitate expanded research linking MCW and UWM in areas initially related to the four tracks associated with the program. For example, UWM faculty in the Imaging track of the program can collaborate with the Radiology faculty at MCW to advance basic and applied research in the area of Radiology Informatics. Likewise, UWM faculty with interests in Knowledge Based Systems can make use of the MCW hospital information systems data resources and interact with MCW faculty to develop and test new algorithms for medical decision support and data mining. The MCW-UWM collaboration will help address research problems at the interface of Information Technology and Medicine, provide data to work with, and a testing environment for the solutions. The students enrolled in the program will be able to draw on the skills and expertise of faculty from both institutions and to take relevant courses at either institution. The two campuses are about 10 miles apart. Southeastern Wisconsin holds the largest concentration of health care organizations in the state. There are also several related industries in this region including GE Medical Systems. Thus, the students and faculty will have the benefit of conducting research with access to many state-of-art facilities while health care organizations, in and outside of Wisconsin, stand to benefit from this program. 4.7 Academic and Career Advising Each student in the program will be assigned a faculty advisor. The advisor will assist the student not only in planning his/her program of study, but also in guiding the student in dissertation research. In addition, job opportunities will be distributed to students and alumni using the Internet and email. The program will maintain a job registry with links to prospective employers. In addition, currently existing career services at MCW and the participating academic units at UWM will be available to students and graduates of this new program.

Graduate Faculty Council Doc. No. 945 p. 19 Approved April 19, 2004 4.8 Outreach Based on our experience with UWM s professional graduate programs, we expect this program to attract many working professionals in this region. As indicated earlier, we have already received expressions of interest from employees of local health care organizations and hospitals. Because of the metropolitan location of the program, interactions with medical organizations and industries are natural and will take place. These interactions may include student internships, sponsored and collaborative research projects and faculty consultation. Once the program is implemented, regular seminars will be scheduled. These seminars will be open to the public. 4.9 Integration of Appropriate Technology and Instructional Design Technology is an important component of the curriculum in this program and students will be significantly involved in technology-related issues. Many of the core and elective courses will cover topics pertaining to information technology. The students will also make extensive use of technology in instruction and research. In addition to modern computer laboratories used to support instruction, both UWM and MCW have many research laboratories and centers with cutting edge technology. (See a partial list in Section 6.2.) These facilities will be available to the students in appropriate coursework and research. 4.10 Collaboration and Distance Education Although no distance education for this program is currently proposed, we note that some UWM academic units participating in this collaborative program provide distance education features in their current academic programs and courses. Examples are the College of Nursing and the School of Information Studies. When appropriate and feasible, the proposed new program will take advantage of these offerings. 4.11 Access for Individuals with Disabilities Individuals with disabilities are referred to the UWM Student Accessibility Center (SAC). The Center offers a variety of programs to the blind/visually impaired, deaf/hard of hearing, as well as the learning, physically, medically and psychiatrically disabled. Particularly noteworthy are the Center s Computer and Assistive Technology (AT) Labs. The AT Lab is the headquarters for assistive technology and universal design expertise, instruction, and projects. It houses a variety of devices and resources to accommodate the needs of people with disabilities, including those for computer access, communication/telecommunications, and environmental control. Staff members increasingly focus on how assistive technology and good design can be used to create environments (physical, educational, Internet) that are user-friendly, and accessible to people with disabilities. Students have the opportunity to take courses in AT and universal

Graduate Faculty Council Doc. No. 945 p. 20 Approved April 19, 2004 design that are offered in the AT Lab. The Lab can also provide AT and universal design services on a consultation basis. Access considerations also extend to web page design. UWM has established web page standards (http://www.uwm.edu/policy/standards.html) that promote web site usefulness, accessibility, and good practice. The campus Webmaster is charged with enforcing the standards and checks compliance when allocating web space and issuing vanity URL s. The Webmaster periodically monitors existing sites and provides feedback when sites are not in compliance. UWM is involved in retrofitting its classrooms to incorporate design considerations, making them more accessible to individuals with disabilities. General access computer labs include tables for students in wheelchairs and large monitors for the visually impaired. Additional support is provided and is based on individual needs of the student. 5. PERSONNEL 5.1 Faculty Participating in the Program In addition to the faculty of the Department of Electrical Engineering and Computer Science (EE&CS), where this collaborative program will be housed, faculty from several other academic units at UWM and MCW will participate in the program. The four Medical Informatics tracks identified in the previous section reflect the strengths of the faculty initially participating in the program. As the program develops, we expect additional faculty to become participants. We list below the directly participating faculty and their professional interests. The listed faculty have either a PhD or an M.D. degree. EE&CS Department (CEAS) Wisconsin Distinguished Professor Carolyn Aita (EE) Thin Films, Semiconductors Associate Professor Brian Armstrong (EE) Control Systems, Signal Processing and Estimation, Robotics Assistant Professor John Boyland (CS) Programming Languages, Compilers, Software Development Environments Assistant Professor Dale Buechler (EE) Medical and Clinical Engineering, Instrumentation, Informatics and Imaging Assistant Professor Christine Cheng (CS) Algorithm Design, Databases, Graph Visualization, Graph Theory

Graduate Faculty Council Doc. No. 945 p. 21 Approved April 19, 2004 Associate Professor Keith Corzine (EE) Design and Analysis of Electrical Machines, Power Electronics Professor George Davida (CS) Cryptography, Computer and Data Security, Software Engineering Assistant Professor Adrian Dumitrescu (CS) Computational Geometry, Algorithmic Design, Computer Vision, Robotics Professor William Gregory (EE) Medical Imaging, Electrical Properties of Human Tissues Associate Professor George Hanson (EE) Electromagnetic Theory, Wave Propagation, Complex Media Senior Scientist Peter Haddawy (CS) Artificial Intelligence, Decision Theory, Medical Decision Making Associate Professor Hossein Hosseini (EE&CS) Networks, Distributed Systems, Fault Tolerance, Architecture Associate Professor Chiu-Tai Law (EE) Optical Communication, Scientific Visualization, X-Ray Sources Assistant Professor Amol Mali (CS) Artificial Intelligence, Planning, Machine Learning, Robotics Professor Devendra Misra (EE) Microwave Circuits and Measurements, Electronic Sensors Associate Professor Susan McRoy (CS) Artificial Intelligence, Knowledge Representation, Cognitive Science Senior Lecturer Subramani Mani (CS) (Expects to complete his PhD in Medical Informatics in May 2004. At that time his title will become Assistant Professor.) Discovery of Casual Relationships in Medical Data, Bayesian Networks Associate Professor Ethan Munson (CS) Human-Computer Interaction, Multimedia Software, User Interfaces Professor Ali Reza (EE) Real Time Signal and Image Processing, Neural Networks

Graduate Faculty Council Doc. No. 945 p. 22 Approved April 19, 2004 Assistant Professor Patrick Schroeder (CS) Software Testing and Reliability, Software Engineering Professor Ichiro Suzuki (CS) Computational Geometry and Robotics, Distributed Computing Professor K. Vairavan (EE&CS) Computer Architecture, Distributed Computation and Systems, Software Complexity Assistant Professor W. Wang (EE) VLSI Design, Analog and Digital Circuit Design Associate Scientist Adam Webber (CS) Programming Languages, Software Systems, Compilers Assistant Professor Lei Ying (EE) Medical Imaging, Signal and Image Processing, MR Phase Imaging Professor David Yu (EE) Computational Analysis of Power Systems, Power Distribution Professor Jun Zhang (EE) Signal and Image Processing, Computer Vision, Wireless Communication Assistant Professor Tian Zhao (CS) Programming Languages, Program Analysis College of Nursing (NUR) Associate Professor Amy Coenen Healthcare Terminology Standards, Nursing Informatics, Electronic Health Records, Data Mining Professor Sally Lundeen Electronic Clinical Documentation Systems, Nursing Clinical Taxonomy Development, Organizational Models of Change College of Health Sciences (CHS) Associate Professor John Lynch Health Information Systems Professor Mary K. Madsen Health Care Administration and Informatics Assistant Professor Kim R. Pemble (highest degree, MS) Health Information Systems

Graduate Faculty Council Doc. No. 945 p. 23 Approved April 19, 2004 Assistant Professor M. Scott Stegall Health Care Administration and Informatics Associate Professor Hanh Q. Trinh Strategic Management of Health Services Organizations, Assessment of Health Services Assistant Professor Min Wu Health Data Base Applications, Dental Informatics, Decision Making School of Information Studies (SOIS) Associate Professor Alex Koohang Management Information Systems, System Design, System Usability Associate Professor Alexandra Dimitroff Health Sciences Information, Health Informatics, Information Seeking, Information Retrieval Professor Dietmar Wolfram Information Retrieval, Applied Informatics, Computer Modeling and Simulation Assistant Professor Jin Zhang Information Retrieval, Information Visualization, Information Systems Design, Database Systems School of Business Administration (SBA) Associate Professor Sarah Freeman Organizational Behavior, Transforming Organizations Associate Professor Timothy Haas Multivariate Analysis, Bayesian Networks Wisconsin Distinguished Professor Hemant Jain Information and Database Management, Decision Support Systems Associate Professor Janice Miller Organizational Behavior and Management Professor Mark A. Mone Organizational Behavior, Organizational Decline and Downsizing Robert L. & Sally Manegold Professor Richard L. Priem Strategic Planning and Management Assistant Professor Terrie Reeves Health Services Administration, Strategic Management

Graduate Faculty Council Doc. No. 945 p. 24 Approved April 19, 2004 Assistant Professor Romila Singh Career Management, Work-Family Relationships, Gender, Diversity Issues Professor Ehsan S. Soofi Management Statistics, Information Measures for Reliability Assistant Professor E. Vance Wilson Healthcare Technology and Management Medical College of Wisconsin (MCW) Professor William R. Hendee (Dean, Graduate School of Biomedical Sciences) Medical Imaging and Informatics Professor Charles Kahn, Jr. Radiology, Medical Informatics, Bayesian Networks Assistant Professor Paul G. Nagy Radiology, Informatics, Digital Imaging Professor Edward J. Quebbeman Surgery Associate Professor Marilyn May Schapira General Internal Medicine, Hospital Information Management Associate Professor Carl G.M. Weigle (Medical Director, Information Services, Children's Hospital of Wisconsin) Pediatrics Associate Professor Charles R. Wilson Radiology, Biophysics 5.2 Advisory Faculty Students enrolled in the program may take graduate courses in academic units other than those listed above. Graduate faculty who teach such courses may be considered advisory faculty and may serve on the students' dissertation committees. 5.3 Additional Faculty Requirements No new faculty are required to start the program. In Fall 2003, three academic units (CEAS, CHS and NUR) hired five faculty in areas directly related to the Medical Informatics program. Their names are included in the list in subsection 5.1. This year, CHS is

Graduate Faculty Council Doc. No. 945 p. 25 Approved April 19, 2004 recruiting an additional faculty member in Medical Informatics. The Department of Electrical Engineering and Computer Science also has initiated an effort to recruit a faculty member in Medical Informatics or in a closely related area in 2003-2004. 5.4 Academic Staff Each of the participating academic units has part-time and full-time academic staff members who advise students or teach courses. EE&CS has two full-time and eight part-time academic staff members. These part-time instructors work in industry, including GE Medical Systems, and bring valuable experience to the department's programs. 5.5 Classified Staff The participating academic units have classified staff members who can be expected to provide partial support to the new program. Two experienced program assistants in EE&CS provide direct support for the programs offered by the department. CEAS will provide an additional half-time classified support staff to help administer the new program. 6. ACADEMIC SUPPORT SERVICES 6.1 Library Resources Faculty and students in the Program will access the to the vast library resources of the Medical College of Wisconsin and University of Wisconsin-Milwaukee. Faculty library liaisons from the participating academic units at UWM will also represent the Medical Informatics program in communicating the needs of this program to the UWM library. Mary Blackwelder, Director of the Medical College of Wisconsin Libraries, has offered her enthusiastic support for the use of their services in the proposed program. Further, through the Interlibrary Loan Service, material not available locally can be accessed with a request to the UWM library. 6.2 Additional Support Resources There are many major research and instructional laboratories associated with MCW and the participating units at UWM that are of relevance to the proposed program. We give below a partial listing of such resources. Decision Systems and Artificial Intelligence Laboratory (CEAS) Center of Cryptography, Computer and Network Security (CEAS) Multimedia Software Laboratory (CEAS) Medical Imaging Laboratory (CEAS) General Purpose Computing Laboratory (CEAS) Computer Science Instructional Laboratories (CEAS) Assistive Technology and Accessibility Laboratory (CHS) Ergonomic Training and Demonstration Laboratory (CHS)

Graduate Faculty Council Doc. No. 945 p. 26 Approved April 19, 2004 Microcomputer Instructional Laboratory (CHS) Decision Support Laboratory (SBA) Emerging Technology Laboratory (SBA) Institute for Urban Health Patnerships (NUR) Bioinformatics Center (MCW) Biotechnology and Bioengineering Center (MCW) Functional Imaging Research Center (MCW) 7. FACILITIES AND EQUIPMENT 7.1 Capital Resources-Existing Facilities and Capital Equipment Extensive facilities and capital equipment currently available to MCW students will also be available to the students enrolled in the new program. At UWM, there are numerous facilities and resources of value to the students and faculty associated with the participating units. Besides the research and instructional laboratories mentioned in the previous section, UWM facilities include modern class rooms with state of the art multimedia features and the Cozzens Cudahy Research Center which houses the medical imaging research activities of some Electrical Engineering faculty. The unique interdisciplinary nature of the new program and the participation by a number of academic units make it possible for the students and faculty of the program to have access to a broad variety of excellent facilities and equipment. 7.2 Capital Budget Needs-Additional Facilities Required The new program will take advantage of the existing processes at UWM and MCW to seek funds to develop new laboratories as needed. We also expect research projects sponsored by industry and government agencies will help acquire additional capital equipment. Computer Science faculty have a record of obtaining equipment for research through support from NSF and companies such as Sun Microsystems and Intel Corporation. 7.3 Clinical Facilities Several large clinical facilities associated with MCW will be accessible to the students and faculty associated with the new program. These include Froedert Hospital (the primary teaching affiliate of MCW), Children's Hospital of Wisconsin, and Clement J. Zablocki VA Medical Center. Also, MCW has regional clinical alliances with many hospitals in southeast Wisconsin, Fox Valley and Waukegan, Illinois. We anticipate that the program will develop mutually beneficial interactions with some of these facilities.

Graduate Faculty Council Doc. No. 945 p. 27 Approved April 19, 2004 8. FINANCE In this section, we address the financial aspects of the program as they relate to UWM. An interinstitutional agreement between UWM and MCW addresses the resources and cost associated with MCW to support this program. 8.1 Operating Budget Requirements The current faculty, personnel and facilities existing in the various participating academic units at UWM will provide the necessary support for mounting the new program. As already indicated in Section 5, in addition to the faculty in the Department of Electrical Engineering and Computer Science where the this program will be housed, there are more than 20 participating faculty in four other academic units at UWM and seven MCW faculty who will initially participate in the program. In addition, efforts are underway in CEAS and COHS in 2003-4 to recruit at least two new faculty with interests directly related to Medical Informatics. Thus no new GPR resources are required to implement the new program. As the program is implemented, we will seek additional resources to develop the program through gifts, grants, industrial support and enhanced tuition revenue. The Appendix shows an estimated budget table for the first three years of the program. The budget figures shown reflect estimates of faculty participation from the five academic units at UWM and their contributions to the program through the teaching of relevant graduate courses, supervision of student research and other program related activities. The personnel figures also include two new faculty being recruited to support the program. Graduate assistants include several (0.5 FTE) project assistants hired with faculty start-up funds and research grants. The cost and resource figures shown in the table include provisions for start-up budgets for newly hired faculty. Also, summer salaries of participating faculty are not included as they may depend on the summer activities of the faculty. Salary increases are not shown for the second and third years of the program. Any actual increases in such costs will be accompanied by corresponding increases provided in the resources. 8.2 Operating Budget - S&E Requirements Current operating budgets in the participating units, increased tuition revenue and new grants and gifts will provide for the basic S&E requirements of the new program. 8.3 Operating Budget Reallocation This program does not call for any planned reallocation of resources at UWM for its implementation. Reallocation in the future for this program, as is the case for any other program at UWM, will be made based on need, enrollment and campus priorities. Reallocations will be made in consultation with shared governance groups.

Graduate Faculty Council Doc. No. 945 p. 28 Approved April 19, 2004 8.4 Extramural Support Extramural support in healthcare in general and biomedical informatics in particular has increased significantly among federal agencies, foundations and industry. The National Institute of Health (NIH) has more than doubled its budget during the last five years. The National Science Foundation (NSF) has also increased the budget for the support of advanced education and training of scientists. The Agency for Health Research and Quality (AHRQ) is another federal agency that is in the forefront of supporting health services and medical informatics research. The National Library of Medicine (NLM) provides extramural grant support for research and training in Medical Informatics, Health Information Science, and Biotechnology Information. NLM provides investigator initiated research grants, career development grants, and pre-doctoral and post-doctoral training grants for Medical Informatics and Bioinformatics. The Biomedical Information Science and Technology Initiative (BIST) grants for innovative and novel research in biomedical computational science support the development of methodologies, tools and applications at the intersection of Biomedical science and computing. The participating units at UWM already have a very good record of obtaining external support for research projects from federal agencies, industry and foundations. Some of the support has been received for collaborative work with researchers in Medical College of Wisconsin, as pointed out earlier in the proposal. We will pursue research and training grants aggressively to support graduate education and research in Medical Informatics when the proposed program is implemented.

GRADUATE FACULTY COUNCIL DOC NO. 945 Approved April 19, 2004 APPENDIX Estimated Total Costs and Revenue Sources Total Costs FIRST YEAR SECOND YEAR THIRD YEAR Anticipated Costs #FTE Dollars #FTE Dollars #FTE Dollars Personnel Faculty 12.0 946,255 12.0 946,255 12.0 946,255 Technical Support Staff 0.5 28,000 0.75 42,000 0.75 42,000 Graduate Assistants 2 47,280 3 70,920 4 94,560 Classified Staff 2 75,344 2 75,344 2 75,344 Non-personnel S&E $104,437 $106,630 $111,815 Capital Equipment $33,000 $36,000 $35,000 Computing $17,500 $$20,500 $22,000 Other $0 $0 $0 TOTAL COSTS $1,251,816 $1,297,649 $1,326,974 Total Revenues Existing Resources Current GPR $979,334 $979,334 $979,334 Outside Gifts/Grants $120,000 $100,000 $80,000 Fees $0 $0 $0 Other: Indirect Cost Return $24,000 $20,000 $16,000 Subtotal: Current resources $1,123,334 $1,099,334 $1,075,334 New Revenue New GPR $0 $0 $0 Anticipated Additional Gifts/Grants $100,000 $150,000 $180,000 Additional Indirect Cost Return $20,000 $30,000 $36,000 Tuition Revenue $8,482 $18,315 $35,640 2.5 FTE @ 9 cr x $377/cr 5 FTE @ 9 cr x $407/cr 9 FTE @ 9 cr x $440/cr Subtotal: New Revenue $128,482 $198,315 $251,640 TOTAL RESOURCES $1,251,816 $1,297,649 $1,326,974