UnknownNot Applicable

Clinic Waiting Room-based Study of Swahili Language Artificial Intelligence-driven Symptom Assessments in Tanzanian Primary Health Care Facilities

Tanzania109 participantsStarted 2021-08-03

Plain-language summary

This study will evaluate the accuracy of the condition suggestions and urgency advice of the Swahili language Ada symptom assessment application (SAA), when symptoms are input by a lay-person user and a medical professional; these SAA results will then be compared to the condition suggestions and urgency advice of different tiers of doctors and a "gold standard" created by a panel.

Who can participate

Age range2 Months

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * All patients who enter the clinic and that are willing/able to provide consent will be included, except those who fall under certain conditions listed below Exclusion Criteria: * Patients with severe injury/illness requiring immediate treatment * Patients with traumatic injury (many of these patients require minimal anamnesis, and it is not rational to include them in a pilot study) * Patients incapable of completing a health assessment (e.g. due to illiteracy, mental impairment or inebriation or other incapacity).

What they're measuring

Accuracy and Comprehensiveness measures of Ada WRA and HDA

Timeframe: through study completion, an average of 4 months

Trial details

NCT IDNCT04958577

SponsorAda Health GmbH

Sponsor typeINDUSTRY

Study typeOBSERVATIONAL

Primary completion2021-12-17

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