OSF Healthcare Tests AI Tool to Schedule Advance Care Planning

A research team at the Illinois health system led by OSF Senior Fellow for Innovation Jonathan Handler, MD, tested an AI model that predicts the likelihood of a patient’s death five to 90 days after admission. That information is then used by care teams to decide when to begin advanced care planning for patients and their families.

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The Exec: Technology in Patient Engagement is a Strategy, Not a Crutch

The chief experience officer’s role was once defined as one of service excellence, and the executive was responsible for ensuring that the healthcare organization was delivering top-notch service, according to standards established by the health system. But with the rise of patient-centered care, that role has shifted radically around to focus on the delivery of care and services that meet the patient’s expectations.

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Improving Buy-In for Medication Decision Support

Alert fatigue, burnout, short staffing, and more: The pressure on providers grows in intensity and complexity every day. But a new technology enabling clinical decision support alert optimization is making strides toward reducing medication alert fatigue, cutting back on overrides, and offering greater avoidance of harmful medication use.

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Using AI to Improve Interactions Between Physicians and Patients

Since enabling physicians to use the technology, Cooper reports that 85% of patients found their physician more personable and conversational. Clinicians using DAX have seen a 70% reduction in feelings of burnout and fatigue, as well as up to 50% time saved per patient per clinical note.

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