This new Data Science as a Service (DSaaS) offering gives de-identified claims data, improved with social determinants of health, thereby allowing security and tailored for every customer seeking to develop and deploy compliant health analytics at scale.
Usually, the process of using regulated health data with social determinants is manual, and therefore slow, and ridden with compliance challenges.
DSaaS, by leveraging scale, and security of AWS, is claimed to tackle problems by pre-integrating data and deploying automated software that in turn monitors adherence to privacy/compliance obligations. This makes patient-level integration of de-identified claims, SDOH, behavioural health, and other novel data practical and timely.
Change Healthcare senior vice president of Data Solutions Tim Suther said: “As much as 80% of our health and well-being is affected by social determinants, such as whether someone can access or afford medical care, their level of healthcare literacy, their access to transportation, and their food and housing vulnerabilities.
“Traditional comparative research fails to effectively account for these inequities. By integrating data beyond the clinical setting—in a way that supports privacy—we can understand how diverse life circumstances affect treatment efficacy. That understanding is key in improving outcomes and healthcare economics.”
The Duke University School of Medicine is leveraging DSaaS to explore differences in Covid-19 disease progression as a function of pre-existing conditions and several interventions for different ethnic and socio-economic subgroups.
DSaaS is claimed to provide an operating model to develop insight into therapeutic effectiveness while helping to avoid inequities due to social determinants.
Every DSaaS instance is dedicated to a single client, thereby allowing the flexibility to add unique datasets, analytic tools, and methods for an exclusive use of a client.
All clients will be able to access Change Healthcare’s de-identified patient-level dataset, diagnoses, care prescriptions, and social determinants across the healthcare system in the US.
The insights, scores, or algorithms developed in DSaaS are monitored for compliance.
Compliant results may then be exported for operation behind client firewalls. It may even be optionally exported within Change Healthcare networks.
AWS head of worldwide healthcare business development Wilson To said: “Providing secure access to comprehensive, linked healthcare datasets will enable life sciences organizations to personalize the patient experiences, support, and enable powerful population-level comparative research to improve precision medicine and personalized care, such as medication adherence, around the world.
“DSaaS expands the long-standing collaboration between Change Healthcare and AWS, and provides life sciences organisations innovative tools to accelerate research and improve commercial operations.”