Literature DB >> 32308841

Exploring Different Approaches in Measuring EHR-based Adherence to Best Practice - A Case Study with Order Sets and Associated Outcomes.

Nathan C Hulse1,2, Jaehoon Lee1,2, José Benuzillo1.   

Abstract

In connection with a recent enterprise-wide rollout of a new electronic health record, Intermountain Healthcare is investing significant effort in building a central library of best-practice order sets. These order sets represent best practice guidelines for specific clinical scenarios and are deployed with the intent of standardizing care, reducing variation, and consistently delivering good clinical outcomes to the populations we serve. The importance of measuring their use and the level to which caregivers adhere to these standards becomes an important factor in understanding and characterizing the impact that they deliver. Notwithstanding the importance of these metrics, well- defined methods for measuring adherence to a given clinical guideline as delivered through an order set are not fully characterized in the medical literature. In this paper, we describe initial efforts at measuring compliance to a defined 'best practice' standard by means of content utilization analysis, a calculated adherence model, and relevant clinical key performance indicators. The degree to which specified clinical outcomes vary across these measurement models are compared for a group of order sets tied to treating coronary artery bypass graft patients and heart failure patients. While the patterns derived from this analysis show some uncertainty, more granular methods that look at line-item, or 'order level' detail reveal more significant differences in the corresponding set of outcomes than higher-level adherence surrogates. ©2019 AMIA - All rights reserved.

Entities:  

Year:  2020        PMID: 32308841      PMCID: PMC7153084     

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


  14 in total

1.  Preparation and use of preconstructed orders, order sets, and order menus in a computerized provider order entry system.

Authors:  Thomas H Payne; Patty J Hoey; Paul Nichol; Christian Lovis
Journal:  J Am Med Inform Assoc       Date:  2003-03-28       Impact factor: 4.497

2.  Automated development of order sets and corollary orders by data mining in an ambulatory computerized physician order entry system.

Authors:  Adam Wright; Dean F Sittig
Journal:  AMIA Annu Symp Proc       Date:  2006

3.  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

4.  Extracting Actionable Recommendations for Modifying Enterprise Order Set Templates from CPOE Utilization Patterns.

Authors:  Nathan C Hulse; Jaehoon Lee
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

5.  Data-driven order set generation and evaluation in the pediatric environment.

Authors:  Y Zhang; J E Levin; R Padman
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

6.  Use of order sets in inpatient computerized provider order entry systems: a comparative analysis of usage patterns at seven sites.

Authors:  Adam Wright; Joshua C Feblowitz; Justine E Pang; James D Carpenter; Michael A Krall; Blackford Middleton; Dean F Sittig
Journal:  Int J Med Inform       Date:  2012-07-18       Impact factor: 4.046

7.  Utilization of evidence-based computerized order sets in pediatrics.

Authors:  Ann Scheck McAlearney; Deena Chisolm; Sofia Veneris; David Rich; Kelly Kelleher
Journal:  Int J Med Inform       Date:  2005-09-19       Impact factor: 4.046

8.  Reduction in Clinical Variance Using Targeted Design Changes in Computerized Provider Order Entry (CPOE) Order Sets: Impact on Hospitalized Children with Acute Asthma Exacerbation.

Authors:  B R Jacobs; K W Hart; D W Rucker
Journal:  Appl Clin Inform       Date:  2012-02-08       Impact factor: 2.342

9.  Critical pathways as a strategy for improving care: problems and potential.

Authors:  S D Pearson; D Goulart-Fisher; T H Lee
Journal:  Ann Intern Med       Date:  1995-12-15       Impact factor: 25.391

10.  Implementation of Computerized Physician Order Entry for Critical Patients in an Academic Emergency Department is Not Associated with a Change in Mortality Rate.

Authors:  Doug D Brunette; Jean Tersteeg; Nicholas Brown; Valerie Johnson; Stephen Dunlop; James Karambay; James Miner
Journal:  West J Emerg Med       Date:  2013-03
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