Webinars

Cancer care now generates more data than any clinician can act on alone. Guidelines evolve. Clinical trials open and close. Testing windows pass before decisions get made. The result is oncology teams managing real complexity with workflows that haven’t caught…

Care coordination teams are being asked to do more with less. Staffing constraints, rising costs and administrative complexity are turning what should be a straightforward patient experience — getting to care — into one of the most friction-heavy parts of…

Persistent vacancies, rising contract labor costs and limited access to local nursing education are squeezing health systems, especially in rural and regional markets. In response, many organizations are working harder to recruit. A smaller number are taking a different approach:…

Nearly three-quarters of physicians say they’re satisfied with their jobs. But fewer than two-thirds plan to stay — and less than 1 in 3 would recommend their organization to a colleague. That gap is a financial and operational risk. CHG…

ASCs now handle 60 to 70 percent of U.S. surgeries, and the stakes around sterile processing have never been higher. Surgical site infections carry a price tag of $20,000 to $60,000 or more per event, and compliance gaps continue to…

Many DSOs have already invested in automation. Few have figured out how to manage it at scale. What worked across five locations often breaks at 50. As multi-site organizations grow, inconsistent workflows across patient and payer payment processes, limited visibility…

Join leaders from Arrowhead Regional Medical Center, Ventura County Medical Center, Denver Health, and San Juan Regional Medical Center as they share how they are keeping their missions at the forefront while evolving workforce strategies and operating models to meet…

Most hospitals have invested heavily in visibility in the form of dashboards, daily huddle reports, capacity snapshots and more. Yet boarded emergency department patients, delayed discharges and capacity bottlenecks remain stubbornly familiar. The problem is rarely a lack of data.…

Healthcare organizations are moving fast on AI — but many are hitting a more fundamental obstacle: their data is not ready to support it. Fragmented records, interoperability gaps and unreliable pipelines mean AI results can be inconsistent, hard to trust…