Balancing Privacy and Quality
Healthcare and life science organizations strive to demonstrate outcomes that reduce cost, improve population health, and prove value to stakeholders.
At the same time, privacy concerns are increasing as the volume of healthcare data grows faster than ever from an increasing array of sources including claims, clinical, hospital, and research. Most healthcare leaders recognize the need for an effective, anonymized patient-level strategy that demonstrates outcomes and visualizes the patient journey, while meeting privacy obligations and without diminishing the analytic utility of the data.
MSA utilizes a standardized de-identification methodology – the Expert Determination Method – in order to balance data privacy and quality.