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Member News

Machine Learning Predicts Conduct Disorder in Kids

Conduct disorder (CD) is a common yet complex psychiatric disorder featuring aggressive and destructive behavior. Factors contributing to the development of CD span biological, psychological, and social domains. Researchers have identified a myriad of risk factors that could help predict CD, but they are often considered in isolation. Now, a new study uses a machine-learning approach for the first time to assess risk factors across all three domains in combination and predict later development of CD with high accuracy.

DIG THIS: Hype or Bubble?

The companies that come out of a hype-cycle trough and make it through a deflating financial bubble will have increased momentum and a lasting impact on the industry. Those companies need the capital to survive the downturn along with a business model that supports long-term sustainability. As we are seeing early signs of a financial bubble, health systems need to lean in, be prepared, and respond to current market trends. Here’s why.

Deploying Digital Technology for Health Equity

Hospitals and health systems looking to provide care to their communities aren’t just seeking a one-episode connection. People need care throughout their lives — but many aren’t in a position to return to it or to seek it out in the first place. With patients drawn from all different walks of life and representing diverse populations, how can healthcare organizations reach them where they are?

Physician Burnout Amid The Great Resignation: How The Right Tech Can Help Foster Better Work-Life Balance For Healthcare Heroes

Two years of living in a global pandemic, and approaching year three, has put a persistent strain on our healthcare providers and simultaneously contributed to the Great Resignation. While burnout was already a complex issue for the healthcare industry prior to the pandemic, a mass exodus of employees has wreaked havoc and contributed to inadequate staffing, impacting the quality of patient care as a result. The Great Resignation has only underscored the issue of physician burnout and highlighted the urgency for addressing it.

Growing Medicare Advantage Membership Using Psychographic Segmentation

MedAD Sherpa* is a broker/advisor helping Medicare eligible consumers in Ohio and Kentucky choose a Medicare Advantage plan. MedAd Sherpa saw no difference in its rate of growth after pursuing a marketing campaign including TV, radio and direct mail. Based on the recommendation of a major local Employee Benefits Consultant, MedAd Sherpa approached PatientBond to determine whether its psychographic segmentation model could boost its membership.