The explosive growth of telehealth has been discussed extensively in the past year. To provide even greater insights into the nature of this COVID-19 driven-trend, BHI studied our conformed national medical claims data set, comprised of more than 22 billion claims that represent 217 million unique lives, to unearth different telehealth insights.
Telehealth Consults Increased More Than 50-Fold Among Privately Insured Working-Age Patients During First Phase of the Pandemic
https://www.jhsph.edu/news/news-releases/2021/telehealth-consults-increased-more-than-50-fold-among-privately-insured-working-age-patients-during-first-phase-of-the-pandemic.htmlWhyzen Boost Your Skills
The Blue Health Intelligence® team provides demonstrations of current and upcoming features of Whyzen Analytics, our account analytics and reporting solution for health plans, employers, and brokers. This month’s focus is on Graphics and Data Visualization. This recording’s deeper dives include tutorials on: Fundamentals of Data Visualization Applying the Fundamentals in Whyzen: Combo charts, stacked bar charts, treemap charts, and … Read More
Insights from BHI: Intersection of Behavioral Health & Chronic Medical Conditions
In this webinar, Joe Bisson, vice president of business development, and Farid Alam, MD, director of clinical analytics with BHI provided unique analysis of chronic conditions such as diabetes, heart disease, asthma, and mental health, illustrating how BHI’s closed claims dataset highlights the challenges that chronic conditions pose to the healthcare system. Chronic conditions account for over $3.5 trillion of … Read More
Advisory Council Explores COVID-19’s Impact on Commercial Health Insurance Coverage
BHI’s Advisory Council members kicked off their research projects this year and in one COVID-19-focused effort, found that research often adds value through counterintuitive findings. BHI Advisory Council members Michael Chernew, PhD, of Harvard University and Vivian Ho, PhD, of Rice University have been looking specifically at COVID’s impact on Blue health insurance disenrollment rates and how the pandemic has … Read More
BHI Data Briefs Paint a Picture of Current Healthcare Dynamics in the U.S.
CHICAGO (January 28, 2021) – Like most health data analytics organizations, Blue Health Intelligence® (BHI®) was laser-focused on COVID-19 last year. Still, a compendium of its research briefs from a busy 2020 serves as a reminder that COVID leads an array of clinical care challenges facing the U.S. healthcare system. Using its National Data Repository, which reflects the care experiences … Read More
Komodo Health Expands Its Healthcare Map™ in Deal with Blue Health Intelligence
The Deal Enriches Komodo’s Real-World Data for 325 Million U.S. Patients, Driving Insights to Help Close Gaps in Care, Identify High-Risk Patients, and Speed Drug Development 26 JANUARY 2020 – San Francisco: Komodo Health and Blue Health Intelligence® (BHI®) today announced a multi-year agreement to integrate BHI’s longitudinal, de-identified, real-world patient data into Komodo’s Healthcare Map™, which provides the world’s … Read More
Big data used on a small scale can yield impressive results
Benchmarking data from Blue Health Intelligence® (BHI®) provided independent verification that the Spine Team Texas (STT) approach to treating low back pain resulted in lower costs for insurers and employers.
Transparent, Meaningful Physician Performance Metrics
Last year, Blue Cross and Blue Shield of Louisiana (BCBSLA) set out to share actionable, credible, and accurate cost and quality reports with providers. BHI has been partnering with the Plan since March 2020 to design and implement such reports for practitioners in BCBSLA’s Specialty Care Insights program. In delivering enhanced “Provider Index” reports, BCBSLA utilizes BHI’s proprietary Episode of … Read More
Artificial Intelligence, Machine Learning, and Deep Learning — What is the Difference and Why it Matters
The terms artificial intelligence, deep learning, and machine learning are often used interchangeably, leading to confusion.