Literature DB >> 11079893

Implementing clinical practice guidelines while taking account of changing evidence: ATHENA DSS, an easily modifiable decision-support system for managing hypertension in primary care.

M K Goldstein1, B B Hoffman, R W Coleman, M A Musen, S W Tu, A Advani, R Shankar, M O'Connor.   

Abstract

This paper describes the ATHENA Decision Support System (DSS), which operationalizes guidelines for hypertension using the EON architecture. ATHENA DSS encourages blood pressure control and recommends guideline-concordant choice of drug therapy in relation to comorbid diseases. ATHENA DSS has an easily modifiable knowledge base that specifies eligibility criteria, risk stratification, blood pressure targets, relevant comorbid diseases, guideline-recommended drug classes for patients with comorbid disease, preferred drugs within each drug class, and clinical messages. Because evidence for best management of hypertension evolves continually, ATHENA DSS is designed to allow clinical experts to customize the knowledge base to incorporate new evidence or to reflect local interpretations of guideline ambiguities. Together with its database mediator Athenaeum, ATHENA DSS has physical and logical data independence from the legacy Computerized Patient Record System (CPRS) supplying the patient data, so it can be integrated into a variety of electronic medical record systems.

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Year:  2000        PMID: 11079893      PMCID: PMC2243943     

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


  10 in total

1.  Integrating a modern knowledge-based system architecture with a legacy VA database: the ATHENA and EON projects at Stanford.

Authors:  A Advani; S Tu; M O'Connor; R Coleman; M K Goldstein; M Musen
Journal:  Proc AMIA Symp       Date:  1999

2.  EON: a component-based approach to automation of protocol-directed therapy.

Authors:  M A Musen; S W Tu; A K Das; Y Shahar
Journal:  J Am Med Inform Assoc       Date:  1996 Nov-Dec       Impact factor: 4.497

3.  Long-term effect of lisinopril and atenolol on kidney function in hypertensive NIDDM subjects with diabetic nephropathy.

Authors:  F S Nielsen; P Rossing; M A Gall; P Skøtt; U M Smidt; H H Parving
Journal:  Diabetes       Date:  1997-07       Impact factor: 9.461

4.  Closing the gap between research and practice: an overview of systematic reviews of interventions to promote the implementation of research findings. The Cochrane Effective Practice and Organization of Care Review Group.

Authors:  L A Bero; R Grilli; J M Grimshaw; E Harvey; A D Oxman; M A Thomson
Journal:  BMJ       Date:  1998-08-15

5.  Quality assurance and computer-based patient records.

Authors:  G O Barnett; R N Winickoff
Journal:  Am J Public Health       Date:  1990-05       Impact factor: 9.308

6.  Delayed feedback of physician performance versus immediate reminders to perform preventive care. Effects on physician compliance.

Authors:  W M Tierney; S L Hui; C J McDonald
Journal:  Med Care       Date:  1986-08       Impact factor: 2.983

7.  Computerizing guidelines to improve care and patient outcomes: the example of heart failure.

Authors:  W M Tierney; J M Overhage; B Y Takesue; L E Harris; M D Murray; D L Vargo; C J McDonald
Journal:  J Am Med Inform Assoc       Date:  1995 Sep-Oct       Impact factor: 4.497

8.  Requiring physicians to respond to computerized reminders improves their compliance with preventive care protocols.

Authors:  D K Litzelman; R S Dittus; M E Miller; W M Tierney
Journal:  J Gen Intern Med       Date:  1993-06       Impact factor: 5.128

9.  Reminders to physicians from an introspective computer medical record. A two-year randomized trial.

Authors:  C J McDonald; S L Hui; D M Smith; W M Tierney; S J Cohen; M Weinberger; G P McCabe
Journal:  Ann Intern Med       Date:  1984-01       Impact factor: 25.391

10.  No magic bullets: a systematic review of 102 trials of interventions to improve professional practice.

Authors:  A D Oxman; M A Thomson; D A Davis; R B Haynes
Journal:  CMAJ       Date:  1995-11-15       Impact factor: 8.262

  10 in total
  30 in total

1.  Developing quality indicators and auditing protocols from formal guideline models: knowledge representation and transformations.

Authors:  Aneel Advani; Mary Goldstein; Yuval Shahar; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  The structure of guideline recommendations: a synthesis.

Authors:  Samson W Tu; James Campbell; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2003

3.  Translating research into practice: organizational issues in implementing automated decision support for hypertension in three medical centers.

Authors:  Mary K Goldstein; Robert W Coleman; Samson W Tu; Ravi D Shankar; Martin J O'Connor; Mark A Musen; Susana B Martins; Philip W Lavori; Michael G Shlipak; Eugene Oddone; Aneel A Advani; Parisa Gholami; Brian B Hoffman
Journal:  J Am Med Inform Assoc       Date:  2004-06-07       Impact factor: 4.497

4.  DYNAMICALLY EVOLVING CLINICAL PRACTICES AND IMPLICATIONS FOR PREDICTING MEDICAL DECISIONS.

Authors:  Jonathan H Chen; Mary K Goldstein; Steven M Asch; Russ B Altman
Journal:  Pac Symp Biocomput       Date:  2016

5.  Use of declarative statements in creating and maintaining computer-interpretable knowledge bases for guideline-based care.

Authors:  Samson W Tu; Karen M Hrabak; James R Campbell; Julie Glasgow; Mark A Nyman; Robert McClure; James McClay; Robert Abarbanel; James G Mansfield; Susana M Martins; Mary K Goldstein; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2006

6.  An Algorithm Using Twelve Properties of Antibiotics to Find the Recommended Antibiotics, as in CPGs.

Authors:  R Tsopra; A Venot; C Duclos
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

7.  Selecting Test Cases from the Electronic Health Record for Software Testing of Knowledge-Based Clinical Decision Support Systems.

Authors:  Omar A Usman; Connie Oshiro; Justin G Chambers; Samson W Tu; Susana Martins; Amy Robinson; Mary K Goldstein
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

8.  Using a Clinical Knowledge Base to Assess Comorbidity Interrelatedness Among Patients with Multiple Chronic Conditions.

Authors:  Donna M Zulman; Susana B Martins; Yan Liu; Samson W Tu; Brian B Hoffman; Steven M Asch; Mary K Goldstein
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

Review 9.  Hypertension and medical informatics.

Authors:  William McBride; Carlos Ferrario; Paulette A Lyle
Journal:  J Natl Med Assoc       Date:  2003-11       Impact factor: 1.798

10.  Designing an automated clinical decision support system to match clinical practice guidelines for opioid therapy for chronic pain.

Authors:  Jodie A Trafton; Susana B Martins; Martha C Michel; Dan Wang; Samson W Tu; David J Clark; Jan Elliott; Brigit Vucic; Steve Balt; Michael E Clark; Charles D Sintek; Jack Rosenberg; Denise Daniels; Mary K Goldstein
Journal:  Implement Sci       Date:  2010-04-12       Impact factor: 7.327

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