IT Support Tools and Personalized Medicine<br />Phyllis Teater, Chief Information Officer<br />The Ohio State University M...
Fundamental Objective of Informatics and Healthcare IT<br />Delivering timely and contextually appropriate data, informati...
Computers are incredibly fast, accurate and stupid.Human beings are incredibly slow, inaccurate and brilliant.Together the...
Goal = Move Expert Knowledge and new Discoveries to the Point of Care <br />
IT Tools for P4 Medicine<br />
EHR: Necessary but not Sufficient<br />EHR Functionality<br />
EMR Adoption<br />
Eligible Hospital Status Must Meet All<br />
Eligible Hospital Status Must Meet 5<br />Meet 4<br />Meet 1<br />
Eligible Provider StatusMust Meet All<br />
Eligible Hospital Status Must Meet 5<br />Meet 4<br />Meet 1<br />
MU: Quality Measures<br />The Final Rule identifies quality measures that eligible providers and hospitals will be require...
All EPs must report on the three measures in the core measure group or, if they see no patients for which the core measure...
All EPs must also choose an additional 3 measures to report on from the remaining list.
For hospitals, 15 measures are identified. Each hospital must report on all 15 measures. </li></li></ul><li>Meaningful Use...
The Need for Structured Data: Beyond Meaningful Use<br />
Structured Data Collection<br />
 OSUMC Historical Automation<br />
OSUMC  Integrated EHR Implementation<br />
Ambulatory EHR Metrics<br />
OSUMyChart Adoption<br />
Secure Patient / Physician Communications<br />
Results Released / Viewed<br />
Timeline for “BIG BANG”<br />
Medical Grade Network<br />
Historical trends in storage prices vs DNA sequencing costs<br />“Next generation” sequencing technologies in the mid-2000...
The Need for Data Integration and Analytics<br />Data integration is a pervasive challenge faced in applications that <br ...
Information Warehouse Overview<br />ADT <br />Lab<br />Respiratory <br />Blood <br />Endoscopy <br />Cardiology<br />Sieme...
Upcoming SlideShare
Loading in …5
×

IT Tools Supporting P4 Medicine

1,239 views

Published on

Published in: Health & Medicine, Technology
  • Be the first to comment

IT Tools Supporting P4 Medicine

  1. 1. IT Support Tools and Personalized Medicine<br />Phyllis Teater, Chief Information Officer<br />The Ohio State University Medical Center<br />
  2. 2. Fundamental Objective of Informatics and Healthcare IT<br />Delivering timely and contextually appropriate data, information, and knowledge in support of basic science, clinical and translational research, clinical care, and public health.<br />
  3. 3. Computers are incredibly fast, accurate and stupid.Human beings are incredibly slow, inaccurate and brilliant.Together they are powerful beyond imagination. -Albert Einstein<br />
  4. 4. Goal = Move Expert Knowledge and new Discoveries to the Point of Care <br />
  5. 5. IT Tools for P4 Medicine<br />
  6. 6. EHR: Necessary but not Sufficient<br />EHR Functionality<br />
  7. 7. EMR Adoption<br />
  8. 8. Eligible Hospital Status Must Meet All<br />
  9. 9. Eligible Hospital Status Must Meet 5<br />Meet 4<br />Meet 1<br />
  10. 10. Eligible Provider StatusMust Meet All<br />
  11. 11. Eligible Hospital Status Must Meet 5<br />Meet 4<br />Meet 1<br />
  12. 12. MU: Quality Measures<br />The Final Rule identifies quality measures that eligible providers and hospitals will be required to report on as evidence of Meaningful Use. <br /><ul><li>For eligible providers, 44 measures are identified.
  13. 13. All EPs must report on the three measures in the core measure group or, if they see no patients for which the core measures apply, on three alternative measures.
  14. 14. All EPs must also choose an additional 3 measures to report on from the remaining list.
  15. 15. For hospitals, 15 measures are identified. Each hospital must report on all 15 measures. </li></li></ul><li>Meaningful Use at OSUMC<br />
  16. 16. The Need for Structured Data: Beyond Meaningful Use<br />
  17. 17. Structured Data Collection<br />
  18. 18. OSUMC Historical Automation<br />
  19. 19.
  20. 20. OSUMC Integrated EHR Implementation<br />
  21. 21. Ambulatory EHR Metrics<br />
  22. 22. OSUMyChart Adoption<br />
  23. 23. Secure Patient / Physician Communications<br />
  24. 24. Results Released / Viewed<br />
  25. 25. Timeline for “BIG BANG”<br />
  26. 26. Medical Grade Network<br />
  27. 27. Historical trends in storage prices vs DNA sequencing costs<br />“Next generation” sequencing technologies in the mid-2000s changed the trends and now threatens the conventional genome informatics ecosystem<br />Notice: this is a logarithmic plot – exponential curves appear as straight lines.<br />Lincoln D Stein Genome Biology 2010, 11:207<br />
  28. 28. The Need for Data Integration and Analytics<br />Data integration is a pervasive challenge faced in applications that <br />need to query across multiple autonomous and heterogeneous data sources. Data integration is crucial in large enterprises that own a multitude of data sources, for progress in large-scale scientifc projects, where data sets are being produced independently by multiple researchers, … …<br /> Halevy A, Rajaraman A, Ordille J; “Data Integration: The Teenage Years. VLDB `06, September 12­15, 2006, Seoul, Korea.<br />Radiology<br />Appl<br />Icat<br />ions<br />Web Services<br />Lab<br />EMR<br />Pathology<br />IW<br />
  29. 29. Information Warehouse Overview<br />ADT <br />Lab<br />Respiratory <br />Blood <br />Endoscopy <br />Cardiology<br />Siemens Img<br />Multi-Dimensional Analysis & Data Mining<br />Real <br />time<br />Ad-hoc Query<br />Meta Data<br />CPOE<br />OR system<br />Patient Mgmt<br />Dictated reports<br />Pathology reports<br />Daily<br />Text Mining, NLP<br />Patient Billing<br />Practice Plans<br />Weekly<br />Pt Satisfaction<br />Monthly<br />Image Analysis<br />Web Scorecards & Dashboards<br />Cancer Genetics<br />Wound<br />Images<br />Tissue<br />Pulmonary<br />Genomic Data<br />De-Identification<br />Honest Broker<br />Web<br />Research<br />Benchmarking<br />Error Report<br />Information Warehouse<br />User Access<br />Acquisition<br />Transfer<br />DATAINTEGRATION<br />Clinical<br />Business<br />Research<br />External<br />Wound Center<br />
  30. 30. Constant Evolution in Technologies for Patients, Clinicians and Researchers<br />1950-60’s: Specialized computing facilities, programming languages, decision support, bibliographic databases, basic clinical documentation systems, first training programs<br />Today: Tele-health, mobile computing, widespread EHR adoption, service-oriented architectures, genomic and personalized medicine applications, translational research<br />

×