Literature DB >> 11080000

Experience using a programmable rules engine to implement a complex medical protocol during order entry.

J M Starmer1, D A Talbert, R A Miller.   

Abstract

WizOrder, Vanderbilt University Medical Center's (VUMC) clinician order entry system, is an excellent platform for delivering high-quality decision support to clinical end-users. A scripting language designed to make it easy for non-programmer domain experts to enter rules helps distribute the generation and maintenance of the knowledge-base necessary to drive effective decision support. Domain-experts have used this system to successfully implement relatively simple protocols. The VUMC Care Improvement Committee identified diagnosis of and treatment for suspected or confirmed deep venous thrombosis or pulmonary embolism as an area where decision-support could improve clinician compliance with established evidence-based protocols. The authors describe our experience with using our existing scripting system to implement decision support for a complex medical protocol.

Entities:  

Mesh:

Year:  2000        PMID: 11080000      PMCID: PMC2243729     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  5 in total

1.  A programmable rules engine to provide clinical decision support using HTML forms.

Authors:  J Heusinkveld; A Geissbuhler; D Sheshelidze; R Miller
Journal:  Proc AMIA Symp       Date:  1999

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

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

Review 3.  Antithrombotic therapy for venous thromboembolic disease.

Authors:  T M Hyers; G Agnelli; R D Hull; J G Weg; T A Morris; M Samama; V Tapson
Journal:  Chest       Date:  1998-11       Impact factor: 9.410

4.  Developing and testing a system to improve the quality of heparin anticoagulation in patients with acute cardiac syndromes.

Authors:  D Mungall; M Lord; S Cason; P Treadwell; D Williams; D Tedrick
Journal:  Am J Cardiol       Date:  1998-09-01       Impact factor: 2.778

5.  Physician inpatient order writing on microcomputer workstations. Effects on resource utilization.

Authors:  W M Tierney; M E Miller; J M Overhage; C J McDonald
Journal:  JAMA       Date:  1993-01-20       Impact factor: 56.272

  5 in total
  10 in total

1.  Does national regulatory mandate of provider order entry portend greater benefit than risk for health care delivery? The 2001 ACMI debate. The American College of Medical Informatics.

Authors:  J Marc Overhage; Blackford Middleton; Randolph A Miller; Rita D Zielstorff; William R Hersh
Journal:  J Am Med Inform Assoc       Date:  2002 May-Jun       Impact factor: 4.497

2.  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

3.  Hitting a moving target: toward a compliance-driven patient record.

Authors:  C Frank Starmer
Journal:  J Am Med Inform Assoc       Date:  2002 Nov-Dec       Impact factor: 4.497

4.  The anatomy of decision support during inpatient care provider order entry (CPOE): empirical observations from a decade of CPOE experience at Vanderbilt.

Authors:  Randolph A Miller; Lemuel R Waitman; Sutin Chen; S Trent Rosenbloom
Journal:  J Biomed Inform       Date:  2005-10-21       Impact factor: 6.317

5.  Using Best Practices to Extract, Organize, and Reuse Embedded Decision Support Content Knowledge Rules from Mature Clinical Systems.

Authors:  Spencer J DesAutels; Zachary E Fox; Dario A Giuse; Annette M Williams; Qing-Hua Kou; Asli Weitkamp; Patel Neal R; Nunzia Bettinsoli Giuse
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

6.  A method for analyzing inpatient care variability through physicians' orders.

Authors:  Matthew C Lenert; Randolph A Miller; Yevgeniy Vorobeychik; Colin G Walsh
Journal:  J Biomed Inform       Date:  2019-01-30       Impact factor: 6.317

7.  Reducing PSA-Based Prostate Cancer Screening in Men Aged 75 Years and Older with the Use of Highly Specific Computerized Clinical Decision Support.

Authors:  Jeremy B Shelton; Lee Ochotorena; Carol Bennett; Paul Shekelle; Lorna Kwan; Ted Skolarus; Caroline Goldzweig
Journal:  J Gen Intern Med       Date:  2015-03-05       Impact factor: 5.128

8.  Interventions to regulate ordering of serum magnesium levels: report of an unintended consequence of decision support.

Authors:  S Trent Rosenbloom; Kou-Wei Chiu; Daniel W Byrne; Doug A Talbert; Eric G Neilson; Randolph A Miller
Journal:  J Am Med Inform Assoc       Date:  2005-05-19       Impact factor: 4.497

9.  Integrating "best of care" protocols into clinicians' workflow via care provider order entry: impact on quality-of-care indicators for acute myocardial infarction.

Authors:  Asli Ozdas; Theodore Speroff; L Russell Waitman; Judy Ozbolt; Javed Butler; Randolph A Miller
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

Review 10.  Social, organizational, and contextual characteristics of clinical decision support systems for intensive insulin therapy: a literature review and case study.

Authors:  Thomas R Campion; Lemuel R Waitman; Addison K May; Asli Ozdas; Nancy M Lorenzi; Cynthia S Gadd
Journal:  Int J Med Inform       Date:  2009-10-07       Impact factor: 4.046

  10 in total

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