Literature DB >> 14728324

Order sets utilization in a clinical order entry system.

Daniel Cowden1, Catalin Barbacioru, Eiad Kahwash, Joel Saltz.   

Abstract

An order set is a predefined template that has been utilized in the standard care of hospitals for many years. While in the past, it took the form of pen and paper, today, it is, indeed, electronic. Within order sets are distinct ordering patterns that may yield fruitful results for clinicians and informaticians, alike. Protocols like there electronic counterpart, order sets, provide an 'indication' identifying the clinical scenario of the patient's condition when the ordering event occurred. This 'indication' is rarely captured by individual orders, and provides difficult challenges to developers of information systems. While mandating an 'indication' be entered for every medication or lab order makes the job much more tasking on the physician provider, it is appealing to researchers and accountants. We have attempted to bypasses that consideration by identifying ordering patterns that predict diagnostic related codes (DRGs) and diagnostic codes which would greatly facilitate the information gathering process and still provide a flexible and user friendly physician interface.

Entities:  

Mesh:

Year:  2003        PMID: 14728324      PMCID: PMC1479990     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  6 in total

1.  Viewpoint: controversies surrounding use of order sets for clinical decision support in computerized provider order entry.

Authors:  Anne M Bobb; Thomas H Payne; Peter A Gross
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

2.  The Impact of Changes to an Electronic Admission Order Set on Prescribing and Clinical Outcomes in the Intensive Care Unit.

Authors:  Ellen T Muniga; Todd A Walroth; Natalie C Washburn
Journal:  Appl Clin Inform       Date:  2020-03-11       Impact factor: 2.342

3.  Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets.

Authors:  Jonathan H Chen; Muthuraman Alagappan; Mary K Goldstein; Steven M Asch; Russ B Altman
Journal:  Int J Med Inform       Date:  2017-03-18       Impact factor: 4.046

4.  Effectiveness of Evidence-Based Congestive Heart Failure (CHF) CPOE Order Sets Measured by Health Outcomes.

Authors:  Jacob Krive; Joel S Shoolin; Steven D Zink
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

5.  Effectiveness of Evidence-based Pneumonia CPOE Order Sets Measured by Health Outcomes.

Authors:  Jacob Krive; Joel S Shoolin; Steven D Zink
Journal:  Online J Public Health Inform       Date:  2015-07-01

6.  Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets.

Authors:  Jonathan H Chen; Mary K Goldstein; Steven M Asch; Lester Mackey; Russ B Altman
Journal:  J Am Med Inform Assoc       Date:  2017-05-01       Impact factor: 4.497

  6 in total

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