Literature DB >> 11276650

Clinical decision support systems for outcome measurement and management.

B R Sakallaris1, C A Jastremski, K T Von Rueden.   

Abstract

Clinical decision support systems are the foundation for outcome management programs through the measurement of specific outcomes, data storage, data analysis, predictive modeling, and risk-adjusted comparison of actual outcomes with predicted outcomes. Many clinical decision support tools or databases are available to clinicians. This article reviews two widely available tools that provide clinical decision support for critical care clinicians, the Project IMPACT and APACHE III Critical Care Series clinical decision support systems. These tools are discussed with regard to risk adjustment methodology, validity, reliability, database size and representation, retrospective and prospective data and analysis, and quality control. Clinical application of clinical decision support systems for benchmarking and use in process improvement and outcome management is reviewed.

Mesh:

Year:  2000        PMID: 11276650     DOI: 10.1097/00044067-200008000-00003

Source DB:  PubMed          Journal:  AACN Clin Issues        ISSN: 1079-0713


  4 in total

1.  [Potentials and limitations of the planned compulsory quality assurance program for cataract surgery (Qesü)].

Authors:  U Hahn; B Bertram; F Krummenauer; A Reuscher; E Fabian; T Neuhann; S Schmickler; I Neuhann
Journal:  Ophthalmologe       Date:  2013-04       Impact factor: 1.059

2.  A methodological approach to identify external factors for indicator-based risk adjustment illustrated by a cataract surgery register.

Authors:  Ursula Hahn; Irmingard Neuhann; Stefanie Schmickler; Frank Krummenauer
Journal:  BMC Health Serv Res       Date:  2014-06-25       Impact factor: 2.655

3.  Application Values of Six Scoring Systems in the Prognosis of Stroke Patients.

Authors:  Qun-Xi Li; Xiao-Jing Zhao; Hai-Yan Fan; Xiang-Nan Li; Da-Li Wang; Xiu-Jie Wang; Jiang Zhang; Rui-Ying Chen; Li Zhang
Journal:  Front Neurol       Date:  2020-01-30       Impact factor: 4.003

4.  Developing theory-informed knowledge translation strategies to facilitate the use of patient-reported outcome measures in interdisciplinary low back pain clinical practices in Quebec: mixed methods study.

Authors:  Owis Eilayyan; Regina Visca; Diana Zidarov; Patrick Ware; André Bussières; Sara Ahmed
Journal:  BMC Health Serv Res       Date:  2020-08-25       Impact factor: 2.655

  4 in total

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