Clinical Decision Support
Evidence-cited differential diagnoses, dosing guidance, urgency stratification, and safety alerts at the point of care.
Evidence based Clinical AI
ClinicDx is an offline Clinical AI that integrates scribe, clinical decision support and imaging analysis within OpenMRS.
WHO aligned protocols
OpenMRS Integration
No Cloud dependency
Unified Clinical AI
Ready for Point of Care
ClinicDx installs as a single OpenMRS module and delivers four core capabilities: Clinical Decision Support, Medical Scriibe, Lab Result Digitization amd Imaging Analysis in the same workflow while runing fully offline with no cloud dependency.
Our Approach
Designed for Clinical Rigor
ClinicDx is a clinical-grade AI system designed for real-world care delivery, built around frontline workflows, safety requirements, and evidence-based practice.
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Interoperable by Design
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.
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Adapts to Clinical Context
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.
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Fully Open Source
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.
The Problem
Where Healthcare Falls Short
Clinicians in the developing world face compounding challenges at every point of care delivery.
Documentation
Manual EMR entry is slow, error-prone, and often happens hours after care, losing clinical nuance.
Knowledge
Clinical officers make life-or-death decisions alone, with no specialist and no protocol library.
Lab
Paper lab results don't get digitized, interpreted in context, or flagged for critical values.
Imaging
DICOM files go unread. 3.6 radiologists per million means most images are never reviewed.
4 billion
people in the developing world
1 : 50,000
clinician-to-patient ratio
3%
of global clinical workforce
25%
global disease burden
Solution
One Module,
One Module,
Four Integrated Capabilities
Click any feature to see its capabilities and a live simulation.
Lab Digitization
Photograph paper lab results. ClinicDx digitizes, flags critical abnormals, and interprets results in full patient context.
Imaging Analysis
On-device DICOM analysis and paper imaging capture. Structured findings for referral decisions, fully offline.
Multilingual Scribe
Short phrases in Swahili, Amharic, French, Hausa, or English → complete structured SOAP note in seconds.
How It Works
Integrated with OpenMRS.
Integrated with OpenMRS.
Live in under an hour.
ClinicDx ships as 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.
01
Download the .omod
Request the ClinicDx .omod distribution. It is a self-contained archive bundling the AI engine, clinical protocol library, and all OpenMRS UI components.
02
Install via Admin Panel
Navigate to Administration → Manage Modules → Add Module. Upload the file. The module starts automatically with no server restart and no changes to OpenMRS core.
03
Configure in 10 Minutes
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.
ClinicDx Appears in the Patient Chart
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.
Outcomes
Measured impact for clinicians and health systems
0%
Reduction in documentation time
Multilingual phrase-based scribe converts spoken input to structured SOAP notes in seconds.
0%
Data sovereignty maintained
Patient data never leaves the facility. No cloud, no external API, no privacy exposure.
0%
Reduction in diagnostic uncertainty
Structured differentials and discriminating features guide every clinical assessment.
Who It’s For
Purpose-built for every layer of care delivery
Clinical Officers & Nurses
- Second opinion at point of care
- Differential diagnosis support
- Drug dosing & safety guidance
- Documentation in native language
Physicians & Medical Officers
- Complex case decision support
- Lab & imaging interpretation
- Referral decision support
- Multilingual scribe workflow
NGOs & Aid Organizations
- Rapid deploy on commodity hardware
- No internet dependency
- Consistent evidence-based protocols
- Multi-site rollout ready
Ministries of Health
- National OpenMRS integration
- Anonymized population analytics
- WHO guideline alignment
- Scalable, modular rollout
Patient data never leaves the facility.
No cloud. No external API. No privacy exposure. ClinicDx operates entirely within the four walls of your facility, clinical intelligence without surveillance.
On-device inference
All AI computation happens locally on facility hardware. No data ever leaves the machine.
OpenMRS native
Patient data stays inside the national health system’s own infrastructure, not a third-party cloud.
WHO alignment
Structured outputs and audit trails support national digital health governance frameworks.
FAQ
Frequently Asked Questions
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.
Help us bring specialist-level care to facilities that have never had one.
Pilot ClinicDx in your facilities to reduce diagnostic uncertainty, preserve data sovereignty, and return clinician time to patient care.