A Digital Tool to Help Doctors and Pharmacists Prescribe Medicines More Safely for Older Adults in Oman
POLYMED
POLYMED: A Triphasic Explainable AI-Assisted Potentially Inappropriate Prescribing Risk Calculator to Optimize Medication Safety and Pharmaceutical Efficiency Among Elderly Patients in Oman
1 other identifier
interventional
400
0 countries
N/A
Brief Summary
This is a prospective, multi-phase interventional study evaluating the clinical utility and efficacy of POLYMED-a bilingual (Arabic/English) web-based, explainable-AI medication risk calculator-on optimizing geriatric medication safety in Muscat primary care. The primary objective is to evaluate whether deploying this clinical decision support software at the point of care systematically reduces potentially inappropriate prescribing (PIP) and polypharmacy among elderly patients. The study protocol integrates baseline parameterization with an active clinical intervention:
- Phase 1 \& 2 (Baseline \& Tool Validation): A baseline cross-sectional assessment of elderly patients is conducted to quantify local prescribing burdens via international criteria (2023 AGS Beers / STOPP/START v3). These prospective baseline data are used to calibrate and validate the OPIP Score engine powering the POLYMED calculator.
- Phase 3 (Active Intervention Phase): A prospective before-and-after trial evaluates the direct clinical effect of the tool. Clinicians are assigned by the study protocol to actively deploy the POLYMED calculator at the point of care during consultations. The trial measures the resulting changes in polypharmacy burden and medication spending compared to standard, routine care.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Nov 2026
Typical duration for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 12, 2026
CompletedFirst Posted
Study publicly available on registry
September 24, 2026
CompletedStudy Start
First participant enrolled
November 1, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
November 1, 2027
Study Completion
Last participant's last visit for all outcomes
December 31, 2028
September 24, 2026
September 1, 2026
1 year
September 12, 2026
September 21, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
• Reduction in the prevalence of potentially inappropriate medication prescribing following OPIP Score integration, reassessed using the 2023 AGS Beers Criteria
2 years
Study Arms (1)
OPIP Score-Guided Medication Review
EXPERIMENTALA prospective, single-arm cohort of primary care clinicians and their elderly patients (65 years or older) attending chronic disease clinics. The investigator assigns participating clinicians to systematically integrate the OPIP Score calculator into their active workflow. For all prospectively enrolled patients in this phase, pharmacists are required by protocol to utilize the full dashboard and family physicians are prompted via a lightweight prescribing alert to guide structured medication reviews. Clinical and prescribing outcomes from this active intervention phase are evaluated against each patient's own pre-intervention Phase 1 baseline data
Interventions
A bilingual (Arabic/English) web-based clinical decision support tool designed to systematically intercept prescribing risks. The software features a three-layer architecture: a rule-based engine executing the 2023 AGS Beers Criteria (incorporating drug-drug interactions and renal dosing alerts), a risk-scoring model calibrated to local Omani clinical data, and an explainable-AI narrative providing explicit, prioritized recommendations. Per the interventional study protocol, clinicians are mandated to deploy this tool at the point of care during consultations to trigger real-time medication reviews. While clinicians maintain final medical autonomy over prescribing modifications, the systematic application of the tool and the mandatory documentation of clinical overrides are driven prospectively by the investigator's study design to alter and optimize the standard care pathway.
Eligibility Criteria
You may qualify if:
- Aged 65 years or older at the time of recruitment
- Registered in a chronic disease clinic in a participating primary healthcare centre
- Receiving at least one long-term prescribed medication for chronic disease management
- Able to provide informed consent independently
You may not qualify if:
- Cognitive impairment or severe communication limitations precluding informed consent
- Currently receiving palliative care
- Currently admitted as an inpatient during the recruitment period
- Major medication regimen change within the preceding four weeks
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER GOV
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 12, 2026
First Posted
September 24, 2026
Study Start (Estimated)
November 1, 2026
Primary Completion (Estimated)
November 1, 2027
Study Completion (Estimated)
December 31, 2028
Last Updated
September 24, 2026
Record last verified: 2026-09
Data Sharing
- IPD Sharing
- Will not share