Interoperable electronic health records (EHRs) present a tremendous opportunity to cut costs for patients and providers alike. A recent Leidos study titled Health Analytics: Delivering Evidence-Based Insights and Decision Support explores how data science can help realize some of the potential that EHRs have to improve care and efficiency.
In 2010, U.S. healthcare spending was $2.58 trillion, or 17% of U.S. gross domestic product (GDP) — an amount that on its own would be the fifth-largest economy in the world. By 2020, the percentage of GDP spent on healthcare is estimated to rise to nearly 20%. The extraordinary cost of healthcare today and the steep growth trajectory of these costs make finding ways to improve the efficiency and effectiveness of healthcare solutions even more paramount. The Leidos study referenced in this blog highlights one example of how EHR data can be used to help control costs for patients and providers while improving care.
The white paper is substantiated by use-case studies that exemplify how the company’s 25 years of experience in designing and implementing EHR solutions can lead to actionable insight that addresses real business and health problems. Read the study for yourself and learn how data science solutions from Leidos are helping clinicians better identify and manage real-world health scenarios: http://www.leidoshealth.com/images/uploads/Leidos_Health_Analytics-Data_Science_WP.pdf