Menu
Background
An aspirational project that Deepspatial has started to work on is in the Healthcare sector. Using our Applied Research methodologies and certain proprietary data, we are modelling a dynamic healthcare system in our platform that would enable our clients to increase life expectancy while reducing some of the factors that are associated with child and maternal mortality. In 2018, as per the UN report, an estimated 6.2 million children & adolescents under the age of 15 years died, mostly from preventable causes. As per the same report, in 2017, approximately 810 women died “everyday” from preventable causes related to pregnancy and childbirth.
Challenges
The factors & data variables for this analysis are multi-faceted and requires a very strong inter-disciplinary coordination. Primary data collection from actual sites is very critical for an accurate deep learning model building. Remoteness of locations with rudimentary spatial information further complicates our Geo.AI algorithms. Adding to it is the actual volume of Historical data that requires data cleansing & validation.
How We Intend To Make An Impact
Our platform has currently ingested over 2100+ variables including geo-demographics, environmental, nutritional, occupational, educational, healthcare, infrastructure, mobility, accessibility, points of interest and many more. Our analysis using our proprietary applied research and development technologies exhibits the most critical factors affecting the healthcare for neonatal & maternal morbidity. It is able to predict the quantum of change that can be generated by improving certain critical parameters. With the Deepspatial platform continuing to analyse incoming data based on the implementation of decisions, it remodels to provide new insights, predictions and recommendations which assist in constantly refining the strategy and improving the outcome envisaged.
Expected Visible Results
We want to support the healthcare departments in reducing the infant and maternal mortality rates by a significant percentage. We endeavour to improve the ability for better decision making using actionable data driven insights and validate the impact by the decision makers. The Deepspatial platform would provide a robust governance mechanism as well ensuring the outcomes are achieved.
