ClinicDx is an offline Clinical AI that integrates Scribe, Clinical Decision Support, Lab Result Digitization and Imaging Analysis under one solution.
ClinicDx delivers four core capabilities: Clinical Decision Support, Medical Scriibe, Lab Result Digitization amd Imaging Analysis in the same workflow while runing fully offline
ClinicDx is a clinical-grade AI system designed for real-world care delivery, built around frontline workflows, safety requirements, and evidence-based practice.
Built on FHIR R4 and REST API standards. ClinicDx connects to existing health information infrastructure without proprietary connectors, enabling integration with national EMRs and referral networks.
Differential rankings, drug guidance, and clinical protocols are configurable to local disease burden, formulary, and care level. ClinicDx does not impose a single global model on diverse clinical environments.
The complete codebase is publicly available, auditable, and free to deploy. Ministries of Health and implementing partners retain full ownership with no licensing fees and no vendor dependency.
Clinicians in the developing world face compounding challenges at every point of care delivery.
Manual EMR entry is slow, error-prone, and often happens hours after care, losing clinical nuance.
Clinical officers make life-or-death decisions alone, with no specialist and no protocol library.
Paper lab results don't get digitized, interpreted in context, or flagged for critical values.
DICOM files go unread. 3.6 radiologists per million means most images are never reviewed.
Each capability summarized below.
Analyzes the full patient record and produces a structured, evidence-cited assessment: differential diagnoses, urgency stratification, investigation recommendations, treatment plans, dosing, monitoring parameters, and drug safety alerts.
Clinicians photograph printed lab results with any device camera. ClinicDx extracts all values, flags critical abnormals with urgency stratification, and interprets findings in the context of the patient's full OpenMRS record.
ClinicDx performs on-device DICOM analysis and paper imaging capture, surfacing structured findings that support referral and treatment decisions without internet, PACS, or specialist availability.
ClinicDx captures short clinical phrases and converts them into structured entries in OpenMRS. It reduces manual typing while keeping clinical data consistent and usable for downstream care and reporting.
ClinicDx ships a standard OpenMRS .omod file. No new servers, no cloud dependency, and no changes to existing clinical workflows.
One-time installation, performed by your system administrator.
Request the ClinicDx .omod distribution. It is a self-contained archive bundling the AI engine, clinical protocol library, and all OpenMRS UI components.
Navigate to Administration → Manage Modules → Add Module. Upload the file. The module starts automatically with no server restart and no changes to OpenMRS core.
Set three Global Properties: model path, facility region, enabled modules. Assign the ClinicDx role to clinical staff via Manage Roles. No further configuration needed.
Automatic with no extra steps for clinicians; it works every encounter.
Once installed, ClinicDx surfaces automatically as a panel in the OpenMRS patient chart extension slot. No new app, no new login.
Clinicians trigger clinical decision support, digitize lab slips, and request imaging interpretation. A phrase-based scribe converts short spoken inputs into structured FHIR observations in OpenMRS.
Multilingual phrase-based scribe converts spoken input to structured SOAP notes in seconds.
Patient data never leaves the facility. No cloud, no external API, no privacy exposure.
Structured differentials and discriminating features guide every clinical assessment.
No cloud. No external API. No privacy exposure. ClinicDx operates entirely within the four walls of your facility, clinical intelligence without surveillance.
All AI computation happens locally on facility hardware. No data ever leaves the machine.
Patient data stays inside the national health system’s own infrastructure, not a third-party cloud.
Structured outputs and audit trails support national digital health governance frameworks.
No. ClinicDx is designed from the ground up to operate fully offline. All AI inference runs on local hardware at the facility. There is no dependency on external servers, cloud APIs, or internet connectivity of any kind.
ClinicDx runs on commodity hardware: a standard workstation or rugged laptop with a modern CPU. No GPU is required for CDS and scribe functionality. Imaging analysis benefits from a mid-range discrete GPU but can operate in CPU-only mode.
ClinicDx is an OpenMRS module, installed directly into OpenMRS 3.x. It reads structured patient data from the active encounter and writes outputs back into the record, maintaining all data within the national health information system.
The scribe feature supports Swahili, Amharic, French, Hausa, and English out of the box. CDS outputs are available in English and French, with localization roadmap prioritized by deployment region.
Completely. Patient data never leaves the facility. ClinicDx performs all AI computation locally, with no external API calls, no cloud uploads, and no telemetry. Outputs are structured and auditable, meeting WHO and national health data governance standards.
Yes. The CDS knowledge base is curated and aligned to WHO and MSF clinical protocols, including WHO Essential Medicines List, WHO Malaria Guidelines, and IMCI protocols. Every CDS output includes citations so clinicians can verify the evidence basis.
Pilot ClinicDx in your facilities to reduce diagnostic uncertainty, preserve data sovereignty, and return clinician time to patient care.
