Connected Care

Machine learning algorithms can be used to identify cancer patients at risk of short-term mortality, according to a new study published in JAMA Network Open. This helps providers plan for necessary conversations about end-of-life preferences.

Northwell Health, a New York-based nonprofit health system, is building its own electronic health records system and leveraging AI to do it, Axios reported.

Several major charitable organizations are banding together to prevent 6 million deaths in 10 countries by 2030 using Big Data to provide precision medicine.

Intermountain Healthcare has opened an AI-powered service line for patients with chronic kidney disease and end-stage renal disease.

When patients and family members discuss end-of-life matters with professional caregivers, the silences between words can be as telling as the words themselves.

A health-management company in Arizona is expanding its use of AI to detect risk factors in Medicare Advantage patients by scanning doctors’ notes to automatically flag patients who need additional reimbursable care.

Blockchain may be a future solution for the FDA to leverage medical recalls.

Patients covered by CNA Insurance for long-term care will be getting reminders to take their medications via an AI-based app supplied by Groove Health.

MyHealthTeams, a San Francisco-based creator of social networks for patients with chronic health conditions, has raised a fresh $9.44 million to expand its existing online spaces and launch new ones.

VR is quickly becoming a new alternative to more traditional methods of pain management, NPR reported, with patients escaping their chronic pain by strapping on a VR headset and becoming immersed in a different reality.

Machine-learning analyses of satellite images can help identify communities needing healthcare services in some of the most remote parts of the planet, according to a study published Aug. 14 in the Journal of the American Medical Informatics Association.

When trained on routine health data and observation notes gathered by homecare aides, AI can be used to anticipate medical emergencies in the elderly one to two weeks ahead of an incident. The advance insights can both guide preventive care and save on unnecessary hospital and transportation costs.