A Clinical Decision Support Needs Assessment of Community-Based Physicians
This is a review of Richardson and Ash's 2011 article, A Clinical Decision Support Needs Assessment of Community-Based Physicians. 
This article review is to provide insight on community-based physicians and how they will or have addressed the issue of CDS. The goal of the research by the developers is to provide a user-centered perspective that will help optimize CDS functions to meet the needs of the physicians in a community-based environment.
The method used in this study is called grounded theory. This theory is an inductive approach in which transcribed interviews and observation data are labeled. Two questions were identified to receive better results.
- How do community-based physicians conceptualize CDS?
- What do community-based physicians need from CDS?
They conducted an on-site evaluation on three community-based physicians each had an EHR with CDS support. Interviews were conducted.
30 physicians were interviewed. 24 consented to observation in the patient’s rooms, 2 consented to observation in the clinical work areas. And 4 declined observation. Interview was semi-structured 26 min was the average time but it also ranged from 11 to 38 mins. The physicians wanted a CDS that supported immediate tasks and enhance patient communication.
Clinical decision support is a very important in healthcare. In a community–based healthcare system, CDS should be assessed and put into play for better results when it comes from patient care and physicians orders.
With the extent to which community-based physicians can benefit from stage 2 Meaningful Use funding and may also need to meet CMS requirements related to Clinical Quality Measures, CDS for them seems inevitable. Perhaps not a question of "if", or maybe not even "when", but how good will it be, and what will it take to develop, implement, and maintain them.
- Richardson, J. E., & Ash, J. S. (2011). A clinical decision support needs assessment of community-based physicians. Journal of the American Medical Informatics Association, 18 Suppl 1, i28-35. doi: 10.1136/amiajnl-2011-000119. Retrieved from http://jamia.oxfordjournals.org/content/18/Supplement_1/i28.long