1 National Nursing Informatics Deep Dive Program What is Nursing Informatics and Why is it Important? Connie White Delaney, PhD, RN, FAAN, FACMI Dean and Professor, School of Nursing Director, Clinical and Translational Science Institute Biomedical Informatics Acting Director, Institute for Health Informatics November 19, 2014
2 Disclosure I have no relevant financial interest to disclose nor am I endorsing any commercial products identified in this presentation.
3 Objectives Discuss why informatics? Examine national transformation initiatives, including the Triple Aim, Learning Health System, knowledge generating infrastructure, & interprofessional initiatives. Describe what is informatics and integration with nursing s mission.
4 Why does today matter?
5 8 Recommendations Supporting 4 Key Messages Nurses should practice to the full extent of their education and training. Nurses should achieve higher levels of education and training through an improved education system that promotes seamless academic progression. Nurses should be full partners, with physicians and other health care professionals, in redesigning health care in the United States. Effective workforce planning and policy making require better data collection and information infrastructure.
8 The Vision Continuous Learning, Best Care, Lower Cost Sept 2012 iom.edu/bestcare
9 7 Characteristics of continuously Learning Healthcare System Science and informatics 1. Real-time access to knowledge. The system continuously and reliably captures, curates and delivers the best available evidence to guide and improve clinical decision-making and healthcare safety and quality. 2. Digital capture of the care experience. The system captures the care experience on digital platforms for real-time generation and application of knowledge for care improvement. Patient-clinician relationships 3. Engaged, empowered patients. The system focuses on patient needs and perspectives and promotes the inclusion of patients, families and other caregivers as vital members of the continuously learning care team.
10 7 Characteristics of continuously Learning Healthcare System Incentives 4. Incentives aligned for value. The system actively aligns incentives to encourage continuous improvement, identify and reduce waste and reward high-value care. 5. Full transparency. The system systematically monitors the safety, quality, processes, prices, costs and outcomes of care, and makes information available for care improvement and informed choices and decision-making by clinicians, patients and their families. Culture 6. Leadership-instilled culture of learning. The system has leadership committed to a culture of teamwork, collaboration and adaptability in support of continuous learning as a core aim. 7. Supportive system competencies. The system constantly refines complex care operations and processes through ongoing team training and skill building; systems analysis and information development; and creation of the feedback loops for continuous learning and system improvement.
11 Federal Health IT Strategic Plan coordinated strategy between the public and private sector to improve the quality, efficiency, safety and patient-centeredness of health care through use of information and technology. Federal Health IT Strategic Plan Pre-decisional Draft Do Not Disclose 11
12 Meaningful Use of Meaningful Use Transform health care Access to information Improved population health Enhanced access and continuity Data utilized to improve delivery and outcomes Data utilized to improve delivery and outcomes Utilize technology Care coordination Patient self management Care coordination Patient engaged, community resources Patient centered care coordination Patient informed Evidenced based medicine Team based care, case management Basic EHR functionality, structured data Structured data utilized Registries for disease management Registries to manage patient populations Privacy & security protections Privacy & security protections Privacy & security protections Privacy & security protections Stage 1 MU Stage 2 MU PCMH 3-Part Aim ACO s Stage 3 MU
14 Knowledge Generating Infrastructure Clinical and Translational Science Awards (CTSAs) https://www.ctsacentral.org/ Program creates a definable academic home for clinical and translational research. CTSA institutions work to transform the local, regional, and national environment to increase the efficiency and speed of clinical and translational research across the country
15 Layers of Context (AHRQ Clinical Community Relations Measures Atlas, 3/2012)
17 The Nexus 2013 Regents of the University of Minnesota, All Rights Reserved
18 Synergy of: Triple Aim Learning Health System Knowledge generating infrastructure Interprofessional initiatives
19 Biomedical Informatics AMIA.org Biomedical informatics (BMI) is the interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving, and decision making, motivated by efforts to improve human health.
20 Biomedical Informatics: Corollaries to the Definition 1. BMI develops, studies and applies theories, methods and processes for the generation, storage, retrieval, use, and sharing of biomedical data, information, and knowledge. 2. BMI builds on computing, communication and information sciences and technologies and their application in biomedicine.
21 Biomedical Informatics: Corollaries to the Definition 3. BMI investigates and supports reasoning, modeling, simulation, experimentation and translation across the spectrum from molecules to populations, dealing with a variety of biological systems, bridging basic and clinical research and practice, and the healthcare enterprise. 4. BMI, recognizing that people are the ultimate users of biomedical information, draws upon the social and behavioral sciences to inform the design and evaluation of technical solutions and the evolution of complex economic, ethical, social, educational, and organizational systems.
22 Biomedical Informatics in Perspective Basic Research Biomedical Informatics Methods, Techniques, and Theories Biomedical Informatics Bioinformatics Applied Research And Practice Bioinformatics Imaging Informatics Clinical Informatics Public Health Informatics
23 Interdisciplinary Nature of Biomedical Informatics Computer Science (hardware) Computer Science (software) Cognitive Science & Decision Making Management Sciences Biomedical Informatics Bioengineering Epidemiology And Statistics Clinical Sciences Basic Biomedical Sciences
24 Biomedical Informatics in Perspective Basic Research Biomedical Informatics Methods, Techniques, and Theories Biomedical Informatics Health Informatics Health Informatics Applied Research And Practice Bioinformatics Imaging Informatics Clinical Informatics Public Health Informatics Molecular and Cellular Processes Tissues and Organs Individuals (Patients) Populations And Society
25 An Envisioned Cycle That Ties Patient Care with Knowledge Creation and Dissemination Providers Caring for Patients Electronic Health Records Information, Decision-Support, and Order-Entry Systems Creation of Protocols, Guidelines, and Educational Materials Regional and National Public Health and Disease Registries Standards for Prevention and Treatment Biomedical and Clinical Research A Learning Healthcare System
26 LIFE in the year 2100 [THE WEEK, April , Vol 11, Issue 509; Physics of the Future by Michio Kaku] 1900 life expectancy 40, farmers (no internet, airplanes, TV, computer) Methods Interviews of 300 top world scientists Findings: Internet in your contact lenses No computers, cell phones, clocks, watches, MP3s Cars driver-less, use GPS, cushion of magnetism Grow spare parts for organs as they wear out Aging slowed down, expanded human life span Molecular smart bombs circulating to kill cancer cells Toilets & BR mirrors contain DNA sensors to detect Ca cells, clothes with sensors Growth of robots Tourism into outer space Advanced dangers of biological warfare, global warming (computer chip industry cease)
27 Higher Education Challenges of the 21 st Century Improve internal democracy (ethics, autonomy, responsibility, anticipation) Changes in knowledge creation (interdisciplinary & transdisciplinary Changes in the educational model (more active, connected to real life, designed with students and their unique qualities in mind) Tapping the potential of information and communication technologies in the creation and dissemination of knowledge (digital wisdom) Changes for social responsibility and knowledge transfer
28 Future Work Skills Sense-making 2 Social intelligence 3 Novel & adaptive thinking 4 Cross -cultural competency 5 Computational thinking Definition: ability to translate vast amounts of data into abstract concepts and to understand data-based reasoning 2020 Workforce Skills
29 Future Work Skills New-media literacy Definition: ability to critically assess and develop content that uses new media forms, and to leverage these media for persuasive communication 7 Transdisciplinarity Definition: literacy in and ability to understand concepts across multiple disciplines 8 Design mindset Definition: ability to represent and develop tasks and work processes for desired outcomes
30 Future Work Skills Cognitive load management Definition: ability to discriminate and filter information for importance, and to understand how to maximize cognitive functioning using a variety of tools and techniques 10 Virtual collaboration Definition: ability to work productively, drive engagement, and demonstrate presence as a member of a virtual team.
31 Society s Call for Nursing s Leadership Transform our health care system Extraordinary possibilities for nursing Era of big data, massive databases of health information electronic health records systems health repositories genomics resources mobile computing social media archives Power of predictive and visualization analytics to: ascertain patterns & trends provide evidence that will guide patient care & care management, risk management, patient satisfaction, and decision support Support solutions for practice, scholarship, and management Effective stewardship and socially responsible engagement Context of polarity and partnerships.
32 National Nursing Informatics Deep Dive Program What is Nursing Informatics and Why is it Important? Connie White Delaney, PhD, RN, FAAN, FACMI Dean and Professor, School of Nursing Director, Clinical and Translational Science Institute Biomedical Informatics Acting Director, Institute for Health Informatics November 19, 2014
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