Introduction: Guideline-based Decision Support Systems helps clinician to choose the best treatment in specific clinical situations. Since it is difficult for doctors to Remember all effective measures of diagnosis and the average visit time for each patient less than 20 minutes, so integrate guideline with clinical decision support system help doctors to choose the best course of treatment in the clinical setting.
Material and Methods: This paper is a literature review and have implication to clinical guidelines concepts, guideline-based decision support system, challenges and technical considerations.
Results: The best and fastest approach to use of guideline is their integration with hospital information system or electronic health record. The development of these systems require careful design of clinical guidelines development, decision models, and reusable software components and appropriate computing infrastructures in the clinical environment. Currently, XML is the best choice for packaging data and information sharing, but there isn't a specific standard that fully provide interoperability with EHR.
Chen CC, Chen K, Hsu CY, Li YC. Developing guideline-based decision support systems using protégé and jess. Comput Methods Programs Biomed. 2011; 102(3): 288-94. PMID: 20594609 DOI: 10.1016/j.cmpb.2010.05.010
Sullivan F, Wyatt J. ABC of health informatics. John Wiley & Sons; 2009.
Owens DK. Use of medical informatics to implement and develop clinical practice guidelines. West J Med. 1998; 168(3): 166–75. PMID: 9549415
deClercq P. Guideline-based Decision Support in Medicine. [PhD Thesis]. TUE: Department of Electrical Engineering. 2003.
Eslami V, Rouhani-Esfahani S, Hafezi-Nejad N, Refaeian F, Abdi S, Togha M. A computerized expert system for diagnosing primary headache based on International Classification of Headache Disorder (ICHD-II). Springerplus. 2013; 2(1): 199-202. PMID: 23710428 DOI: 10.1186/2193-1801-2-199
Safdari R, Mirzaee M. Clinical decision support systems: concepts, technical issues and obstacles ahead. Proceeding of the First Congress on Application of Information Technology in Health. 2012.
Yin Z, Dong Z, Yu S, Lu X, Feng G, Duan H. A guideline-based decision support system for headache diagnosis. Stud Health Technol Inform. 2013; 192: 1022-5. PMID: 23920796
Maizels M, Wolfe WJ. An expert system for headache diagnosis: The computerized headache assessment tool (CHAT). Headache. 2008; 48(1): 72-8. PMID: 17868352 DOI: 10.1111/j.1526-4610.2007.00918.x
Jian WS, Hsu CY, Hao TH, Wen HC, Hsu MH, Lee YL, et al. Building a portable data and information interoperability infrastructure-framework for a standard Taiwan electronic medical record template. Comput Methods Programs Biomed. 2007; 88(2): 102-11. PMID: 17936402 DOI: 10.1016/j.cmpb.2007.07.014
Tu SW, Campbell JR, Glasgow J, Nyman MA, McClure R, McClay J, et al. The SAGE guideline model: Achievements and overview. J Am Med Inform Assoc. 2007; 14(5): 589–98. PMID: 17600098 doi: 10.1197/jamia.M2399
Open Clinical. Methods and tools to support the computerization of clinical practice guidelines: A short introduction. [Internet] 2002. [cited at: 5 Jun 2015] Available from http://www.openclinical.org/gmmintro.html.
Abu-Hanna A, Cornet R, de Keizer N, Crubézy M, Tu S. Protégé as a vehicle for developing medical terminological systems. International Journal of Human-Computer Studies. 2005; 62(5): 639-63.