TruvHealth
Clinical decision support that works on a tablet in a rural health post with no internet connection.
Clinical modules
Maternal and newborn health.
Disability inclusion
The Washington Group Short Set, the international standard for disability data collection, is built into patient registration rather than run as a separate survey. When a disability is identified the system adapts, offering pictogram based communication aids, simplified instructions or accessible facility routing as appropriate, and maternal risk stratification adjusts upward.
Caregiver wellbeing is monitored using validated instruments, and assistive device needs are tracked from identification through to delivery. The effect is continuously updated disability prevalence data generated passively through routine care, in a health system that has had no systematic mechanism for it.
The technical approach
Machine learning models run entirely on the device, returning results in a fraction of a second, and every recommendation carries a citation from national standard treatment guidelines or WHO protocols that the health worker can check. Health workers can override any recommendation, and the override feeds back into system improvement, because clinical autonomy is a design requirement rather than a concession.
Referrals use an adaptive cascade across six communication channels, including standard internet, long range radio, structured SMS, USSD, Bluetooth and printable QR codes. The system tries each in turn until the data arrives, so the receiving facility gets a complete clinical record rather than a handwritten slip.
Patient data is encrypted, every clinical action is written to a tamper evident audit trail, access is controlled across seven role tiers, and all identifiable data is stored within the country. The platform is compliant with Ghana’s Data Protection Act, Act 843, and supports FHIR R4 for health information exchange. Eight languages are supported.