Bill Siwicki

Operational staff are focused on improving efficiency and reducing delays, while clinical teams are looking at quality improvement projects. A thriving research community, meanwhile, is digging deep into data for many different use cases.

A healthcare consultant discusses how automation is enabling more tailored engagement that can help patients better adhere to their care plans and deliver a more personalized care experience in general.

The FQHC has seen significant improvements in blood pressure and A1c numbers across the patient population enrolled in its remote patient monitoring program.

From generative AI to intelligent automation to cybersecurity, they discuss what CIOs and IT leaders should stay focused on as the healthcare industry continues to evolve.

Today, 91% of patients have logged into their account within three months of an encounter, says its VP of digital health, showing the results that "actively engaging" can accomplish, especially for Medicaid patients.

Between in-person or telehealth appointments, portals can offer information about self-care and healthy habits and be a vehicle for reporting patient health indicators, among other things, one expert says.

Sumit Rana, head of research and development, discusses how the EHR giant’s system uses AI to generate progress notes, create draft responses to patient questions and assist with medical coding. And how AI sometimes can be more empathetic than a person.

Patients who have used Upswing instead of traditional musculoskeletal approaches have consumed 38% fewer MSK services – 61% fewer injections, 49% less surgery, 46% fewer physical therapy/chiropractic visits, 30% less imaging and 25% fewer ER visits.

Tom Hallisey, a digital health strategy expert, previews his presentation at the HIMSS AI in Healthcare Forum next month, describing rollout best practices and discussing ways to ensure investments are targeted for maximum impact.

Its machine learning model updates predictions on hospitalized patients every 15 minutes and acts as an objective assessor of risk, helping facilitate alignment and coordination in patient care as an AI-integrated system.