An OpenMRS tool that uses Machine Learning to REDUCE Data Entry Costs

[David Greis]

To the OpenMRS community,

Be part of a cutting edge project! My team at UC-Berkeley is working on an extension to OpenMRS that suggests coded diagnoses to users who enter uncoded diagnoses--based on an underlying machine learning recommendation system. The underlying system uses what's already in the database to predict the diagnosis in a given case.

We need partners--orgs that use OpenMRS like yours--who would like to collaborate in developing a pilot. With this tool, your org could potentially cut down on the manual work of coding previously uncoded diagnoses.

If interested, please reach out. This could be the beginning of an exciting new direction for OpenMRS!

Cheers,

David Greis

[Than...@geneva.msf.org]

Hello everyone,

We Médecins sans frontières, a.k.a. Doctors without border, are envisioning
using OpenMRS to follow-up a cohort of 30'000 NCD patients in Lebanon.
We are looking for an integrator who can help us handle this challenge,
starting with a pilot.
We are looking for a long term partner, we don't mind "for profit". We
would of course prefer a partner who is familiar with the Middle-East.


Cordialement / Best regards / Freundliche Grüsse

Thang Dao
Directeur Systèmes d'Information - Médecins sans Frontières (Suisse)
Information Systems Director - Doctors without Borders (Switzerland)
Informationssystem Leiter - Aerzte ohne Grenzen (Schweiz)
Rue de Lausanne, 78
1211 Genève 21

+41 (0)22 849 8996