Reduce Medication Errors by Translating AESOP Model Into CPOE Systems

NACompletedINTERVENTIONAL
Enrollment

37

Participants

Timeline

Start Date

May 1, 2017

Primary Completion Date

December 31, 2017

Study Completion Date

February 28, 2018

Conditions
Hypertension
Interventions
OTHER

AESOP service system

Investigators develop an electronic reminder in CPOE system which notifies physicians when there appears to be an inappropriate prescription. At the time, a physician saves a typed prescription, our system analyzes the patient's medications, diseases and uses the knowledge base to determine whether a medication is uncommonly prescribed to all diseases in a given prescription. If the system detects the common associations of medications and diseases in a given prescription, it considers an appropriate prescription, and, if not, an actionable reminder is shown onscreen. To the right of each suggested uncommon medication is a reason why the reminder is appearing. Physicians can accept the reminder or ignore the reminder.

Trial Locations (1)

Unknown

TMU-Shuang-Ho Hospital, Taipei

All Listed Sponsors
lead

Taipei Medical University

OTHER

collaborator

Ministry of Science and Technology, Taiwan

OTHER_GOV

collaborator

Taipei Medical University Shuang Ho Hospital

OTHER

collaborator

Taiwan College of Healthcare Executives

UNKNOWN

collaborator

Taipei Medical University Taipei Municipal Wan Fang Hospital

UNKNOWN

collaborator

Case Western Reserve University

OTHER

collaborator

Cardinal Tien Hospital

OTHER

collaborator

Yong He Cardinal Tien Hospital

UNKNOWN

collaborator

Chang Hua Christian Hospital

UNKNOWN

collaborator

Taipei Medical University Hospital

OTHER

NCT03484793 - Reduce Medication Errors by Translating AESOP Model Into CPOE Systems | Biotech Hunter | Biotech Hunter