Literature DB >> 2250123

Development of decision support systems.

T A Pryor1.   

Abstract

Use of hospital information systems (HIS) are no longer limited to administrative functions. The addition to these systems of decision support capability is now a necessity. Development of the decision support modules requires a different software architecture than that employed by most HIS systems today. This paper describes the generic uses of decision support throughout the many hospital applications. Several levels of decision support are outlined with examples to illustrate the many areas where decision support is useful. At LDS Hospital in Salt Lake City, Utah we have developed an HIS using a new software architecture which supports the creation of decision support applications. This system uses a frame structure to represent knowledge. Examples of the frames and their syntax is presented. Using the frame tools which are provided, an application developer can easily develop and test decision support modules which interact directly with the clinical user and the patient database.

Entities:  

Mesh:

Year:  1990        PMID: 2250123     DOI: 10.1007/bf02915578

Source DB:  PubMed          Journal:  Int J Clin Monit Comput        ISSN: 0167-9945


  6 in total

1.  Distributing knowledge maintenance for clinical decision-support systems: the "knowledge library" model.

Authors:  A Geissbuhler; R A Miller
Journal:  Proc AMIA Symp       Date:  1999

2.  Designing an outcome-oriented computer decision-support system for cardiovascular ICU--a preliminary report.

Authors:  F Lau; D Vincent; D Fenna; R Goebel; D Modry
Journal:  J Med Syst       Date:  1991-12       Impact factor: 4.460

Review 3.  Integrating pharmacokinetics into point-of-care information systems.

Authors:  W G Leader; S L Pestotnik; M H Chandler
Journal:  Clin Pharmacokinet       Date:  1996-09       Impact factor: 6.447

4.  Metaparadigm: a soft systemic MIS design approach.

Authors:  P Kokol
Journal:  J Med Syst       Date:  1993-02       Impact factor: 4.460

Review 5.  Big data and predictive analytics in neurocritical care.

Authors:  Ayham Alkhachroum; Julie Kromm; Michael A De Georgia
Journal:  Curr Neurol Neurosci Rep       Date:  2022-01-26       Impact factor: 5.081

6.  A service-oriented healthcare message alerting architecture in an Asia medical center: a case study.

Authors:  Po-Hsun Cheng; Feipei Lai; Jin-Shin Lai
Journal:  Int J Environ Res Public Health       Date:  2009-06-17       Impact factor: 3.390

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.