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Health Management Information Systems Clinical Decision Support Systems Lecture b This material Comp6_Unit5b was developed by Duke University, funded by.

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Presentation on theme: "Health Management Information Systems Clinical Decision Support Systems Lecture b This material Comp6_Unit5b was developed by Duke University, funded by."— Presentation transcript:

1 Health Management Information Systems Clinical Decision Support Systems Lecture b This material Comp6_Unit5b was developed by Duke University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information Technology under Award Number IU24OC000024.

2 Clinical Decision Support Systems (CDSS) Learning Objectives 1.Describe the history and evolution of clinical decision support (Lecture a) 2.Describe the fundamental requirements of effective clinical decision support systems (Lecture a) 3.Discuss how clinical practice guidelines and evidence-based practice affect clinical decision support systems (Lecture a) 2 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

3 Clinical Decision Support Systems (CDSS) Learning Objectives 4.Identify the challenges and barriers to building and using clinical decision support systems (Lecture b) 5.Discuss legal and regulatory considerations related to the distribution of clinical decision support systems (Lecture b) 6.Describe current initiatives that will impact the future and effectiveness of clinical decision support systems (Lecture b) 3 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

4 CDSS Challenges Achievement of the five rights of clinical decision support requires communicating the –Right information –To the right person –In the right format –Through the right channel –At the right time 4 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

5 Challenges in Designing or Selecting CDSS Whose decisions are being supported? What information is presented? When is the information being presented? How is the information being presented? 5 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

6 User Control User presentation –Automatically –On demand User reaction 6 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

7 CDS Intent and Key Issues CDS IntentMatch to User’s Intention Key Issues Reminder of actions user intends to do, but should not have to remember (automatic) HighTiming Provide information when user is unsure what to do (on demand) HighSpeed and ease of access Correct user’s errors and/or recommend user change plans (automatic or on demand) LowAutomatic: timing, autonomy and user control over response On demand: speed, ease of access, autonomy and user control over response Table 5.1 CDS Intent and Key Issues (Berner, 2009) 7 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

8 Challenges in Building CDSS Impact on Care Process and Patient Health Outcomes –Match of CDS to user intentions –User control, disruptiveness, and risk –Integration of CDS into work processes Impact on structure Impact on resources 8 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

9 Barriers to Using CDSS Acquisition and validation of patient data Modeling of medical knowledge Elicitation of medical knowledge 9 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

10 Barriers to Using CDSS Representation of and reasoning about medical knowledge Validation of system performance Integration of decision-support tools 10 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

11 Legal Barriers Lack of detailed case laws for CDSS –Which category of law Negligence law Product liability law 11 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

12 Legal Barriers Liability borne by –Physicians –Developers of systems 12 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

13 Regulatory Barriers Prerelease regulations of medical software Data privacy and security 13 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

14 Legislative and Regulatory Efforts Drive measurable progress toward priority performance goals for health care quality improvement through effective use of CDS Explore options to establish or leverage a public- private entity to facilitate collaboration Accelerate CDS development and adoption though federal government programs and collaborations 14 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

15 Future Directions for CDSS ONC initiatives IOM studies Meaningful use objectives and measures 15 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

16 ONC Initiatives Major activities –“Advancing CDS” –Development of a Roadmap for National Action on Clinical Decision Support –AHIC CDS Work Group recommendations –Clinical Decision Support (CDS) Workshop –CDS Federal Collaboratory –IOM study 16 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

17 IOM Studies 1999 IOM study –To improve safety, health IT systems should be designed to make it “easy to do the right thing.” 2011 IOM study –Recommend ways to make patient care safer using health IT 17 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

18 Stage 1 Meaningful Use ARRA HITECH Programs Regulations Meaningful use of interoperable health information technology and qualified EHRs »Eligible Professional »Hospital 18 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

19 Clinical Decision Support Systems Summary Definition System requirements Affects of clinical practice guidelines and evidence-based practice on CDSS Challenges and barriers Legal and regulatory barriers Future directions for clinical decision support systems 19 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

20 Clinical Decision Support Systems References – Lecture a References Berner, E. S. (2009, June). Clinical decision support systems: State of the Art. AHRQ Publication No. 09-0069-EF. Rockville, Maryland: Agency for Healthcare Research and Quality http://healthit.ahrq.gov/images/jun09cdsreview/09_0069_ef.html http://healthit.ahrq.gov/images/jun09cdsreview/09_0069_ef.html AHIC. (2008, April 22). CDS recommendations, Retrieved from http://www.hhs.gov/healthit/documents/m20080422/6.2_cds_recs.html Centers for Medicare and Medicaid Services. (2011, November 7). EHR incentive programs overview. Retrieved from https://www.cms.gov/ehrincentiveprograms/#BOOKMARK1 Centers for Medicare and Medicaid Services; Medicare and Medicaid Programs; Electronic Health Record Incentive Program; Final Rule, 42 CFR Parts 412, 413, 422 et al. (July 28, 2010). Retrieved from http://edocket.access.gpo.gov/2010/pdf/2010-17207.pdf http://edocket.access.gpo.gov/2010/pdf/2010-17207.pdf Institute of Medicine. (2012). Health IT and patient safety: Building safer systems for better care. Washington, DC: The National Academies Press. Musen, M. A., Shahar, Y., & Shortliffe, E. H., (2006). Clinical decision-support systems. In Shortliffe. E. H., & Cimino, J. J. (Eds.), Biomedical informatics: Computer applications in health care and biomedicine (3 rd ed) (pp. 698-736). New York, NY: Springer Science + Business Media. National Academy of Sciences. (2011, November). Report brief. Retrieved from http://iom.edu/~/media/Files/Report%20Files/2011/Health-IT/HealthITandPatientSafetyreportbrieffinal_new.pdf National Academy of Sciences. (2000). Report brief. Retrieved from http://iom.edu/~/media/Files/Report%20Files/1999/To-Err-is- Human/To%20Err%20is%20Human%201999%20%20report%20brief.pdf 20 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

21 Clinical Decision Support Systems References – Lecture a References Office of the National Coordinator for Health Information Technology. (2011). CDS activities. Retrieved from http://healthit.hhs.gov/portal/server.pt/community/healthit_hhs_gov__cds_activities/3787 Osheroff, J. A., Teich, J. M., Middleton, B. F., Steen, E. B., Wright, A., & Detmer, D. E. (2006, June 13). A roadmap for national action on clinical decision support (ONC Contract HHSP233200500877P). Retrieved from AMIA website: http://www.amia.org/sites/amia.org/files/A-Roadmap-for-National-Action-on-Clinical-Decision-Support- June132006.pdfhttp://www.amia.org/sites/amia.org/files/A-Roadmap-for-National-Action-on-Clinical-Decision-Support- June132006.pdf Sirajuddin, A. M., Osheroff, J. A., Sittig, D. F., Chuo, J., Velasco, F. & Collins, D. A. (2009, Fall). Implementation pearls from a new guidebook on improving medication use and outcomes with clinical decision support. Journal of Healthcare Information Management. 23(4), 38-45. U.S. Department of Health and Human Services. (2010, September 29). Institute of Medicine will study best policies and practices for improving health care safety with health information technology. Retrieved from http://www.hhs.gov/news/press/2010pres/09/20100929b.html http://www.hhs.gov/news/press/2010pres/09/20100929b.html Table 5.1Table: Berner, E. S. (2009, June). Clinical decision support systems: State of the Art. AHRQ Publication No. 09- 0069-EF. Rockville, Maryland: Agency for Healthcare Research and Quality http://healthit.ahrq.gov/images/jun09cdsreview/09_0069_ef.html 21 Health IT Workforce Curriculum Version 3.0/Spring 2012 Health Management Information Systems Clinical Decision Support Systems Lecture b

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