Literature DB >> 16221946

A case for manual entry of structured, coded laboratory data from multiple sources into an ambulatory electronic health record.

Catherine J Staes1, Sterling T Bennett, R Scott Evans, Scott P Narus, Stanley M Huff, John B Sorensen.   

Abstract

Laboratory results provide necessary information for the management of ambulatory patients. To realize the benefits of an electronic health record (EHR) and coded laboratory data (e.g., decision support and improved data access and display), results from laboratories that are external to the health care enterprise need to be integrated with internal results. We describe the development and clinical impact of integrating external results into the EHR at Intermountain Health Care (IHC). During 2004, over 14,000 external laboratory results for 128 liver transplant patients were added to the EHR. The results were used to generate computerized alerts that assisted clinicians with managing laboratory tests in the ambulatory setting. The external results were sent from 85 different facilities and can now be viewed in the EHR integrated with IHC results. We encountered regulatory, logistic, economic, and data quality issues that should be of interest to others developing similar applications.

Entities:  

Mesh:

Year:  2005        PMID: 16221946      PMCID: PMC1380191          DOI: 10.1197/jamia.M1813

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  4 in total

1.  Practice brief. Authentication of health record entries (updated). American Healthcare Information Management Association.

Authors: 
Journal:  J AHIMA       Date:  2000-03

2.  Practice brief. Maintaining a legally sound health record.

Authors:  Mitchelle Dougherty
Journal:  J AHIMA       Date:  2002-09

3.  Use of computerized clinical support systems in medical settings: United States, 2001-03.

Authors:  Catharine W Burt; Esther Hing
Journal:  Adv Data       Date:  2005-03-02

4.  Building a comprehensive clinical information system from components. The approach at Intermountain Health Care.

Authors:  P D Clayton; S P Narus; S M Huff; T A Pryor; P J Haug; T Larkin; S Matney; R S Evans; B H Rocha; W A Bowes; F T Holston; M L Gundersen
Journal:  Methods Inf Med       Date:  2003       Impact factor: 2.176

  4 in total
  9 in total

1.  Assessment of readiness for clinical decision support to aid laboratory monitoring of immunosuppressive care at U.S. liver transplant centers.

Authors:  J Jacobs; C Weir; R S Evans; C Staes
Journal:  Appl Clin Inform       Date:  2014-12-17       Impact factor: 2.342

Review 2.  Electronic Health Records: Then, Now, and in the Future.

Authors:  R S Evans
Journal:  Yearb Med Inform       Date:  2016-05-20

3.  Longitudinal Analysis of Computerized Alerts for Laboratory Monitoring of Post-liver Transplant Immunosuppressive Care.

Authors:  Jason Jacobs; Scott P Narus; R Scott Evans; Catherine J Staes
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

4.  Using an Evidence-Based Approach to EMR Implementation to Optimize Outcomes and Avoid Unintended Consequences.

Authors:  Christopher A Longhurst; Jonathan P Palma; Lisa M Grisim; Eric Widen; Melanie Chan; Paul J Sharek
Journal:  J Healthc Inf Manag       Date:  2013

5.  Computerized alerts improve outpatient laboratory monitoring of transplant patients.

Authors:  Catherine J Staes; R Scott Evans; Beatriz H S C Rocha; John B Sorensen; Stanley M Huff; Joan Arata; Scott P Narus
Journal:  J Am Med Inform Assoc       Date:  2008-02-28       Impact factor: 4.497

Review 6.  Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research.

Authors:  Nicole Gray Weiskopf; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2012-06-25       Impact factor: 4.497

7.  A Data Quality Assessment Guideline for Electronic Health Record Data Reuse.

Authors:  Nicole G Weiskopf; Suzanne Bakken; George Hripcsak; Chunhua Weng
Journal:  EGEMS (Wash DC)       Date:  2017-09-04

8.  Integration of modeling and simulation into hospital-based decision support systems guiding pediatric pharmacotherapy.

Authors:  Jeffrey S Barrett; John T Mondick; Mahesh Narayan; Kalpana Vijayakumar; Sundararajan Vijayakumar
Journal:  BMC Med Inform Decis Mak       Date:  2008-01-28       Impact factor: 2.796

9.  Processing medical data: a systematic review.

Authors:  Kasaw Adane; Dagnachew Muluye; Molla Abebe
Journal:  Arch Public Health       Date:  2013-10-09
  9 in total

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