January 2004 - March 2011

Assessment and Treatment of Hypertension: Evidence-Based Automation (ATHENA)

Researchers

Principal Investigator

Hypertension is common, harmful and undertreated. The Assessment and Treatment of Hypertension: Evidence-Based Automation (ATHENA) project seeks to improve the treatment of hypertension through a computer-based decision support system that analyzes clinical information about each patient to generate recommendations for managing hypertension. Physicians receive customized treatment recommendations, together with a rationale for the recommendations, at the time of patient visits. PCOR researchers led an interdisciplinary group at Stanford in developing the system, and they are now evaluating its ability to improve the way physicians treat high blood pressure.

Publications

Integrating a Modern Knowledge-Based System Architecture with a Legacy VA Database: The ATHENA and EON Projects at Stanford

A Advani

;

S Tu

;

M O'Connor

;

R Coleman

;

Mary K. Goldstein

;

Mark A. Musen

Implementing Clinical Practice Guidelines While Taking Account of Changing Evidence: ATHENA, an Easily Modifiable Decision-Support System for Management of Hypertension in Primary Care

Mary K. Goldstein

;

BB Hoffman

;

RW Coleman

;

Mark A. Musen

;

SW Tu

;

A Advani

;

R Shankar

;

M O'Connor

Patient Safety in Guideline-Based Decision Support for Hypertension Management: ATHENA DSS

Mary K. Goldstein

;

BB Hoffman

;

RW Coleman

;

SW Tu

;

RD Shankar

;

M O'Connor

;

et al

Building an Explanation Function for a Hypertension Decision-Support System

RD Shankar

;

SB Martins

;

SW Tu

;

Mary K. Goldstein

;

Mark A. Musen

Accuracy of Computerized Outpatient Diagnoses in a VA General Medicine Clinic

HC Szeto

;

RK Coleman

;

P Gholami

;

BB Hoffman

;

Mary K. Goldstein

Clinician Awareness of Adherence to Hypertension Guidelines

M Steinman

;

M Fischer

;

M Shlipak

;

H Bosworth

;

E Oddone

;

B Hoffman

;

Mary K. Goldstein

Graphical Displays to Improve Guideline-Based Therapy of Hypertension

Mary K. Goldstein

;

B.B. Hoffman

Developing Quality Indicators and Auditing Protocols from Formal Guideline Models: Knowledge Representation and Transformations

Advani A

;

Mary K. Goldstein

;

Shahar Y

;

Musen MA

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

Mary K. Goldstein

;

RW Coleman

;

SW Tu

;

RD Shankar

;

MJ O'Connor

;

Mark A. Musen

;

Susana B. Martins

;

PW Lavori

;

MG Shlipak

;

E Oddone

;

AA Advani

;

P Gholami

;

BB Hoffman

Framework for Evidence-adaptive Quality Assessment that Unifies Guideline-based and Performance-indicator Approaches, A

A Advani

;

Mary K. Goldstein

;

Mark A. Musen

Evaluating Provider Adherence in a Trial of a Guideline-based Decision Support System for Hypertension

Mary K. Goldstein

;

Chan AS

;

Coleman RW

;

Martins SB

;

Advani A

;

Mark A. Musen

;

Bosworth HB

;

Oddone EZ

;

Shlipak MG

;

Hoffman BB

Post-fielding Surveillance of a Guideline-based Decision Support System

Susana B. Martins

;

Robert W. Coleman

;

Hayden B. Bosworth

;

Eugene Z. Oddone

;

Michael G. Shlipak

;

Samson W. Tu

;

Mark A. Musen

;

Brian B. Hoffman

;

Mary K. Goldstein

;

Albert S. Chan

;

Susana B. Martins

;

Robert W. Coleman

;

Hayden B. Bosworth

;

Eugene Z. Oddone

;

Michael G. Shlipak

;

Samson W. Tu

;

Mark A. Musen

;

Brian B. Hoffman

;

Mary K. Goldstein

Contact

Mary K. Goldstein

Topics:

Health and Medicine Health policy Hypertension