According to the McKinsey Global Institute, the U.S. healthcare system could save between $300 billion and $450 billion by using data analytics. The U.S. spends more money per person on healthcare than any other country in the world, but many experts agree the citizens of this country don't receive the best possible care.
The way to make the healthcare system more efficient is by using analytics tools for the large amount of data generated every year in the medical field. Deloitte Life Sciences and Health Care Practice, a service that brings fresh insight to clients and industry stakeholders, announced the upcoming release of PopulationMiner, a solution with next generation real world evidence platform for delivering health system insights.
PopulationMiner is designed to give life-sciences organizations critical data about patient care. The goal is to provide this information so medication, therapies, and improved methodologies can be applied with a more personalized approach based on clinical data with more efficiency while using fewer resources in the form of capital and other assets.
The data that is going to be gathered will come from collecting insights and relationships among drugs and diseases from a cross-section of the population with many different therapeutic and clinical fields.
Intermountain Healthcare, a non-profit system of 22 hospitals, 185 clinics, and a medical group with around 1,000 employed physicians based in Utah, will be providing the clinical, financial, and operational data that supports patient-outcome analysis. By analyzing this massive amount of data and making it usable, Deloitte hopes to introduce better solutions for drug development, drug safety, pharmacoepidemiology, health economics, and outcomes research.
PopulationMiner enables users to:
- Understand cohorts with unmet needs and identify opportunities to position new products to create value
- Rapidly generate and refine hypotheses that can support downstream evidence generation activities
- Perform custom research in collaboration with patients, providers, and health system researchers connected to the underlying data and the system of care that created it
"With the shift towards value-based, personalized care, it's key for life-sciences decision makers to have deep insights into complex, real-world populations. PopulationMiner enables a better understanding of health and disease by supporting population stratification and advanced analytics based on disease type, stage and comorbid combinations," said Brett Davis, principal, Deloitte Consulting LLP and general manager of Deloitte Health Informatics.
Edited by
Alisen Downey
