Component 6; Unit 5: Clinical Decision Support Systems
Description:
Defines clinical decision support, provides some historical context surrounding clinical decision support, describes the requirements of a clinical decision support system, and discusses the relationship of clinical practice guidelines and evidence-based practice to clinical decision support systems. Identify the challenges and barriers in building and using clinical decision support systems, explain how legal and regulatory technologies may affect their use, and introduce the future directions for clinical decision support systems.
Objectives:
- Describe the history and evolution of clinical decision support
- Describe the fundamental requirements of effective clinical decision support systems
- Discuss how clinical practice guidelines and evidence-based practice affect clinical decision support systems
- Identify the challenges and barriers to building and using clinical decision support systems
- Discuss legal and regulatory considerations related to the distribution of clinical decision support systems
- Describe current initiatives that will impact the future and effectiveness of clinical decision support systems
Component 6; Unit 5; Lecture 5a comp6_unit5a_lecture_slides
Introduction to Clinical Decision Support: 1) Historical context; 2) Requirements of clinical decision support systems; 3) Relationship of clinical practice guidelines and evidence-based practice
Component 6; Unit 5; Lecture 5b comp6_unit5b_lecture_slides
Perspectives on Clinical Decision Support: 1) Challenges and barriers; 2) Legal and regulatory technologies; 3) Future of clinical decision support
Suggested Readings
Agency for Healthcare Research and Quality. (2009, October 21). Clinical Decision Support – Improving Health Care Quality. Retrieved from http://healthcare411.ahrq.gov/featureAudio.aspx?id=1040
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
Marquez, L. (2001). Helping healthcare providers perform according to standards. Operations Research Issue Paper 2(3). Bethesda, MD: Published for the U.S. Agency for International Development (USAID) by the Quality Assurance Project.
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.pdf
Haynes, R., Wilczynski, N. (2010, February). Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: Methods of a decision-maker-researcher partnership systematic review. Implementation Science. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2829489/?tool=pmcentrez
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 (3rd ed) (pp. 698-736). New York, NY: Springer Science + Business Media
Osheroff, J. A., Pifer, E. A., Teich, J. M., Sittig, D. F., & Jenders, R. A. (2005). Improving outcomes with clinical decision support: An implementer’s guide. Chicago: HIMSS
Spooner, S.A., (2007). Mathematical foundations of decision support systems. In Berner, Eta S. (Ed.), 2nd ed., Clinical decision support systems: Theory and practice, New York, NY: Springer, Health Informatics Series