Health Care: Preventing Illness Before it Happens
Hospitals and health care organizations do a great job of treating sickness, but where they need improvement is keeping people healthy in the first place.
That’s where TerraFrame can help.
Community hospitals focus on treating individuals who are sick. And that’s their job. But they have little or no insight into the factors – demographic, genetic, environmental – that are making patients sick in the first place. Health care organizations lack a macro-level view of community health.
We have built custom Disease Decision Support Systems (DDSS) applications on top of our open-source GeoPrism platform. We’ve already developed DDSS apps for agencies responding to malaria and dengue fever, and we can do it for your organization.
How do we do it? First we obtain data records relating to patients, sickness and treatment. Next we acquire data sets for the community as a whole – demographics, geography and environmental conditions. Most importantly, we include data on disease vectors, like mosquitoes, and intervention efforts (pesticide spraying, e.g.).
Keeping these data sets in their native databases, we use GeoPrism to aggregate the data and perform queries at different levels of granularity (families, villages, regions) to discern trends and patterns. And then we visualize the results in an easy-to-understand dashboard that gives you a single lens into localized health care conditions.
We put this application in your hands so your health care organization can adjust aggregation and query parameters to gain the big picture about the spread of disease in your community.
The macro-view into community health provided by a DDSS built on GeoPrism allows you to:
- Identify disease outbreaks before they become epidemics
- Spot which vectors are spreading illness
- Understand which intervention efforts are working and which aren’t
- Predict where disease outbreaks will occur next