Hospitals & Diagnostic Networks
Connect facility data to the bigger public health picture.
Hospitals and laboratories generate some of the most timely signals of disease activity. Epinova is designed to help diagnostic and care networks anticipate demand, contribute to surveillance and coordinate with public health partners.
Epinova modules for Healthcare Networks
- Epinova Predict
- Epinova Connect
- Epinova Signal
Built for hospitals and laboratories
Intelligence that flows back to the front line
Facilities report upward every week. Epinova is designed to send intelligence back - surge forecasts, diagnostic capacity across the network and referral coordination.
- 01Advance notice of seasonal surges
- 02Diagnostic and referral capacity across the network
- 03Facility data returned as useful intelligence
Your challenges
What makes this work hard today
Unexpected surges
Seasonal spikes strain beds, staff, test kits and blood products.
One-way reporting
Facilities report data upward but rarely receive intelligence back.
Capacity blind spots
Diagnostic and referral capacity is not visible across a network.
Typical use cases
Where it could make a difference
Surge preparedness
Anticipate dengue season demand for beds, staff and tests.
Diagnostic capacity intelligence
Visibility of testing volumes and positivity across sites.
Referral coordination
Coordinate patient flows with partner facilities.
Expected workflow improvements
From today’s workflow to a connected one
These describe intended design outcomes, not measured results.
Implementation approach
A careful path from pilot to scale
- 01
Discovery
Joint scoping of priorities, data availability, governance and success measures.
- 02
Data readiness
Data-sharing agreements, source mapping and quality assessment.
- 03
Pilot
A time-bound pilot in a defined geography with agreed evaluation criteria.
- 04
Review & scale
Independent review of pilot results before any wider rollout.