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Pisgah Digital Diagnostic Workflow Feasibility Study in Nigerian Health Facilities

A Feasibility and Implementation Study of Pisgah, an AI-enabled Diagnostic Care Coordination and Verification Workflow in Nigerian Health Facilities

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
PACTR
Registry ID
PACTR202605486348375
Enrollment
1000
Registered
2026-05-08
Start date
2026-05-18
Completion date
Unknown
Last updated
2026-09-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Digital outpatient diagnostic workflow

Interventions

Pisgah digital diagnostic workflow

Sponsors

Pisgah
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: - Age 18 years or older - Outpatient at a participating study site - A diagnostic test has been ordered by a participating clinician as part of routine care - Able to provide informed consent in English or an approved local-language version - Willing to have the diagnostic workflow processed through Pisgah - Has access to a phone or agrees to assisted access through approved site procedures

Exclusion criteria

Exclusion criteria: - Age under 18 years - Emergency, critical, or life-threatening condition where study procedures could delay care - Inpatient admission at the time of enrollment - Unable to provide informed consent and no approved representative consent process applies - Prisoner or other institutionalized person under coercive control - Clinician judges that participation may interfere with care

Design outcomes

Primary

MeasureTime frame
Proportion of enrolled diagnostic encounters with doctor order, laboratory result upload, and doctor-approved patient-facing action plan completed within 6 hours for routine same-day investigations, unless the test has an expected turnaround time longer than 6 hours.

Secondary

MeasureTime frame
Workflow turnaround times, patient/provider acceptability, AI draft edit or rejection rates, technical failures, workflow deviations, privacy incidents, and adverse events.

Countries

Nigeria

Contacts

Public ContactMotilewa Olugbemi

Professor In Medicine And Consultant in University Teaching Hospital

seyimotilewa@yahoo.com+2348057940847

Outcome results

None listed

Source: PACTR (via WHO ICTRP) · Data processed: Sep 19, 2026