Literature DB >> 26152955

Clinical Decision Support Knowledge Management: Strategies for Success.

Mohamed Khalifa1, Osama Alswailem1.   

Abstract

Clinical Decision Support Systems have been shown to increase quality of care, patient safety, improve adherence to guidelines for prevention and treatment, and avoid medication errors. Such systems depend mainly on two types of content; the clinical information related to patients and the medical knowledge related to the specialty that informs the system rules and alerts. At King Faisal Specialist Hospital and Research Center, Saudi Arabia, the Health Information Technology Affairs worked on identifying best strategies and recommendations for successful CDSS knowledge management. A review of literature was conducted to identify main areas of challenges and factors of success. A qualitative survey was used over six months' duration to collect opinions, experiences and suggestions from both IT and healthcare professionals. Recommendations were categorized into ten main topics that should be addressed during the development and implementation of CDSS knowledge management tools in the hospital.

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Mesh:

Year:  2015        PMID: 26152955

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  5 in total

1.  Optimizing clinical decision support alerts in electronic medical records: a systematic review of reported strategies adopted by hospitals.

Authors:  Bethany A Van Dort; Wu Yi Zheng; Vivek Sundar; Melissa T Baysari
Journal:  J Am Med Inform Assoc       Date:  2021-01-15       Impact factor: 4.497

2.  Mediating role of the perceived benefits of using a medication safety system in the relationship between transformational leadership and the medication-error management climate.

Authors:  Myoung Soo Kim; Ji Hye Seok; Bo Min Kim
Journal:  J Res Nurs       Date:  2019-09-24

3.  Development of a clinical decision support system for diabetes care: A pilot study.

Authors:  Livvi Li Wei Sim; Kenneth Hon Kim Ban; Tin Wee Tan; Sunil Kumar Sethi; Tze Ping Loh
Journal:  PLoS One       Date:  2017-02-24       Impact factor: 3.240

4.  Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model.

Authors:  Huixian Zha; Kouying Liu; Ting Tang; Yue-Heng Yin; Bei Dou; Ling Jiang; Hongyun Yan; Xingyue Tian; Rong Wang; Weiping Xie
Journal:  BMC Med Inform Decis Mak       Date:  2022-08-19       Impact factor: 3.298

5.  Health informatics publication trends in Saudi Arabia: a bibliometric analysis over the last twenty-four years.

Authors:  Samar Binkheder; Raniah Aldekhyyel; Jwaher Almulhem
Journal:  J Med Libr Assoc       Date:  2021-04-01
  5 in total

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