HIMSS Clinical & Business Intelligence Community of Practice. May 28, 2015

Transcription

1 HIMSS Clinical & Business Intelligence Community of Practice May 28, 2015

2 Welcome Michael Brooks, BS, MBA, CPHIMS C&BI Community Co-Chair Specialist Leader, Healthcare Information Management Deloitte Consulting LLP Michael Berger, PE C&BI Community Co-Chair Chief Analytics Officer Affinity Health Plan Shelley Price, MS, FHIMSS C&BI Community Organizer Director, Payer & Life Sciences, HIMSS Nancy Devlin C&BI Community Organizer Senior Associate, Payer & Life Sciences, HIMSS

3 Welcome Agenda HIMSS C&BI Community Updates / Announcements Presentation & Discussion: Clinical & Business Intelligence: An Evolutionary Process o Charles Boicey, MS, RN-BC, CPHIMS, Stony Brook Medicine, Enterprise Analytics Architect Wrap-Up / Next Steps

4 C&BI Community Updates / Announcements

5 C&BI Tools and Resources Find all our tools and resources to help you along your clinical and business intelligence journey in the HIMSS Resource Library at

6 HIMSS Big Data & Healthcare Analytics Forum The two-day forum brings together leading providers, payers, researchers, and government officials to provide best practices, cases studies, peer-to-peer learning, and expert insights into how healthcare organizations are currently using analytics to mine data to improve clinical care and enhancing financial performance and administrative decision-making. REGISTER TODAY:

7 C&BI Community Guest Speaker

8 Clinical & Business Intelligence: An Evolutionary Process Charles Boicey, MS, RN-BC, CPHIMS Stony Brook Medicine Enterprise Analytics Architect May 28, 2015

9 Objectives The three evolutionary stages of a CI/BI initiative Three visualization techniques that will enhance the A strategy to incorporate Big Data"

10 The doctor of the future will give no medicine, but instead will interest his patients in the care of human frame, in diet, and in the cause and prevention of disease. Thomas Edison

11 Evolution of Healthcare Analytics Data Visualization Data Visualization Data Visualization Big Data Ecosystem Spreadsheets Data Marts Data Marts Enterprise Data Warehouse Predictive Analytics Streaming Device Data Population Data Social Data Spreadsheets

12 Today s Persona Healthcare Quality Team

13 Spreadsheets

14 Spreadsheets + Data Visualization

15 Data Marts + Data Visualization

16 Big Data Ecosystem + Data Visualization

17 Early Days Naveen Ashish, PhD

18 NowTrending.HHS.gov

19 Current Environment Electronic Medical Record Not designed to process high volume/velocity data Not intended to handle complex operations Such as: Anomaly detection Machine learning Building complex algorithms Pattern set recognition Enterprise Data Warehouse Suffer from a latency factor of up to 24 hours The EDW serves all of the following retrospectively as opposed to in real time Clinicians Operations Quality and research

20 Modern Healthcare Data Platform Sears, J., & Boicey, C. (2014, February 2). Healthcare does Hadoop. Retrieved from

21 Health Care Data Sources Legacy Systems All HL7 Feeds (EMR source systems) All EMR Initiated Data Device Data (in one minute intervals) Physiological Monitors Ventilators Smart Pumps Real Time Location System Hospital Sensors Genomic Data Home Monitoring Social Media Healthcare Organization Sentiment Analysis Patient Engagement

22 New Data Sources RFID Streaming Device Data Philological Monitors Ventilators Social Media Geographic Information System (GIS) Data Open Data Adverse Drug Event Internet of Things (IoT)

23 Use Cases Legacy System Retirement Patient Condition Changes RRT Early Sepsis Detection Real Time Nursing Unit Utilization Staffing and Resource Allocation Social Media Sentiment Analysis Research Cohort Discovery Data Science Clinician Aware Applications Patient Monitoring External to Traditional Healthcare Setting Event Driven Care & Real Time Quality Monitoring Patient Scorecards

24 Sentiment Analysis & Tweets from the bedside Prom is overrated. #Name of Healthcare of Healthcare Organization

25 Colleague Aware Applications Preparing for the Emerging Real-time Healthcare System Where is my patients patients RD? Connect me now

26 FHIR The Public API for Healthcare? FHIR = Fast Health Interoperability Resource Emerging HL7 Standard (DSTU 2 soon) More powerful & less complex than HL7 V3 ReSTful API ReST = Representational State Transfer basis for Internet Scale Resource-oriented rather than Remote Procedure Call (nouns > verbs) Easy for developers to understand and use FHIR Resources Well-defined, simple snippets of data that capture core clinical entities Build on top of existing HL7 data types Resources are the objects in a network of URI reference links Huff, S., McCallie, D HIMSS 2015

27 SMART Platform Open Specification for Apps Substitutable Medical Apps Kohane/Mandl NEJM (2009) A SMART App is a Web App HTML5 + JavaScript Remote or embedded in EHR URL passes context & FHIR li nk EHR Data Access via FHIR OAuth2 / OIDC for security Huff, S., McCallie, D HIMSS 2015

28 Some SMART Hotbeds Huff, S., McCallie, D HIMSS 2015

29 Boston Childrens: SMART Growth Chart Huff, S., McCallie, D HIMSS 2015

30 New Team Members Cognitive and Behavioral Psychology User Experience Human & Computer Interaction Patients & Family

31 Trends: Big Data Definition: Evolving Creation & Management: Distributed and augmented Information Governance: Shared Meaningful Analysis: Beyond PnL, Reporting, Connections, Correlations, Pattern Recognition, Machine Learning, Natural Language Processing Business Requirements: Blank Page; We don t know what we want we will figure it out once we look at the data, the data will lead the way, AKA, Data Science

32 Trends: Healthcare Content Analytics Suggestive Analytics* Prescriptive Analytics Imaging Analytics Moving Analytics out of the EMR Environment Graph Data Mart Edge and Vertices Analysis Omic & Phenotype Combines Sentiment Analysis *Dale Sanders

33 Takeaways Underpinning platforms may change but concept is here to stay, abstract where possible. Machine learning will lead to the evolution of Data Science and eventual use of AI in Healthcare. Get used to source now, ask questions later: Healthcare evolves with data and it is not a point in time construct any longer. Get used to working with constant change, disruptive trends and something new that will make your frameworks obsolete.

34 Recommended Readings Howson, C. (2014). Successful business intelligence: Unlock the value of BI & big data (2nd ed.). New York, NY: McGraw Hill. Feldman-Stewart, D., Kocovski, N., McConnell, B. A., Brundage, M. D., & Mackillop, W. J. (2000). Perception of quantitative information for treatment decisions. Medical Decision Making, 20(2), Redmond, E., Wilson, J. R., & Carter, J. (2012). Seven databases in seven weeks: A guide to modern databases and the NoSQL movement. Dallas, TX: Pragmatic Bookshelf. Sears, J. (2013, November 21). Modern healthcare architectures built with hadoop. Sears, J., & Boicey, C. (2014, February 2). Healthcare does Hadoop. Retrieved from

35 Contact Charles Boicey charles.boicey@stonybrookmedicine.edu (631)

36 Wrap-Up Want to get involved? Speaker or topic ideas Key note presenter Blogger, twitter Contact Nancy Devlin Community Website

37 Next Steps JOIN US! Next meeting: June 25, 2015 TBA

38 FY15 Leadership and Contact Information Chair: Michael Brooks, BS, MBA, CPHIMS Specialist Leader Deloitte Consulting LLP Mike Berger, PE Chief Analytics Officer Affinity Health Plan HIMSS Community Organizers: Shelley Price, MS, FHIMSS Director, Payer and Life Sciences HIMSS Nancy Devlin Sr Assoc., Payer and Life Sciences HIMSS

39 Thank You and welcome to summer!

40 Appendix

41 C&BI Committee Members J.D. Whitlock, MPH, MBA, CPHIMS* -- Chair Vice-President, Clinical & Business Intelligence Mercy Health Cheryl Bowman, CPHIMS Data Manager University of Wisconsin Hospital and Clinics Michael Brooks, BS, MBA, CPHIMS, FHIMSS* Specialist Leader Deloitte Consulting LLP Robyn Chatman, CPHIMS, FAAFP, MD, MPH Physician Healthbridge Teresa Gocsik, MS, CRNA, CPHIMS* Director Aspen Advisors Michael Kurliand, MS, RN* IS Strategy Consultant Children's Hospital of Philadelphia * Indicates a returning committee member Sharon Lynn Morley, RN/CNS Client Manager Humedica Arthur Panov, MPH, CPHIMS* HIT Architect IBM Stuart Rabinowitz, MBA, BC Director Federal Markets - Socrata Socrata Maxine Rand, DNP (c), MPA, RN- BC, CPHIMS* Director, Clinical Education, Practice & Informatics Kaiser Permanente Chester H Robson, DO, FAAFP Regional Director of Medical Informatics, Ambulatory Systems Adventist Midwest Health Wolf Stapelfeldt, MD* Chairman, General Anesthesiology Saint Louis University Medical Center

42 C&BI Community of Practice The goal of the C&BI Community is to bring together thought leadership and share knowledge that will support the future success of our members by improving their ability to understand and form partnerships to manage C&BI as a part of doing business and providing accountable and quality care to their members. The Community will support activities that promote peer-to-peer networking, problem solving, solution sharing, and education. Topics of focus may include: Storage and Management of Data and Supporting Technologies Knowledge Management to Support Accountable and Quality Care Case, Risk & Cost Management Best Practices Clinical & Business Analytics Clinical Decision Support Research Data Warehousing/EDW Data Lifecycle Management

43 C&BI Community of Practice Open to all HIMSS members (current membership: approx 6,700 people) Will meet virtually 6 times/year Agenda for the meetings may include: Commencing with a short series of 2-Minute Drills presented various Community members Topical discussion with key note presenter The 2-Minute Drill is based loosely on the sports analogy, and in this case is a fast-paced (short in length) presentation on a hot, emerging, or timely topic, news event (e.g. research paper, game-changing market or technology news), or recent and relevant event (e.g., federal public meeting, legislative/federal/judicial news, critical conference or educational event). 2-Minute Drills foster greater peer-to-peer networking, member engagement, problem solving, solution sharing, and education. If you are interested in presenting any drills, please contact Nancy or Shelley.

44 C&BI Task Forces Data and Analytics Task Force CO-CHAIR: Raj Lakhanpal, MD, FACEP CEO Spectramedix CO-CHAIR: Carol Muirhead, MBA Sr. Informatics Project Specialist PinnacleHealth This group creates resources and tools to help providers and provider organizations manage, integrate and aggregate the necessary information to support robust data and analysis, facilitate effective reporting by translating data into meaningful knowledge, resulting in improved quality, clinical and financial outcomes. Meeting times: 3 rd Tuesday of the month, 1:00-2:00pm ET Population Health-Accountable Care Task Force CO-CHAIR: William Beach, PhD Regional Director for Regulatory Readiness, Northern Region St. Joseph Health System CO-CHAIR: Jennifer Jackson Senior Director, IT Population Health Data Solutions Banner Health This group creates resources and tools to help healthcare organizations (providers, hospitals, integrated delivery networks, health plans and other stakeholders) use C&BI to execute population health management initiatives. These resources and tools to help these organizations achieve the industry transition from volume to value based population-based healthcare, particularly through delivery models such as Accountable Care Organizations. Meeting times: 3rd Wednesday of the month, 2:00-3:00pm ET