Organizations armed with their options can select the kind of risk that is best suited for their operational models and pick the right supporting health IT tools.
For healthcare providers transitioning to value-based care, embracing risk remains a challenge. The key to getting a reward from the contracts is to figure out how to proactively manage patient care and produce high-quality outcomes.
Watson is the only AI technology tackling a wide range of the world’s biggest healthcare challenges including cancer, diabetes, drug discovery and more. In oncology, Watson is at work supporting cancer care in more than 150 hospitals in 11 countries, and a large, growing body of evidence supports the use of Watson in healthcare.
In this webinar replay, Josh Berlin, managing partner at IBM Watson Health, moderates a discussion with members of his team about best practices in strategic healthcare transformation.
Just as travelers know what to expect from a well-known hotel chain regardless of city and can depend on consistent taste of a latte at their favorite coffee shop franchise, patients and families should – at some point – expect consistency at branded hospitals within a health system.
This resource kit contains information about how we can help you gain the recognition you need, so you can reap the rewards of all the good work you do.
To reach its quality and cost goals, a clinically integrated network (CIN) typically needs advanced IT solutions.
In each of the examples in this post, information hidden in hospital administrative data sets became the cornerstone to performance improvement initiatives by helping administrators and clinicians make better decisions.
How health IT and artificial intelligence can help clinically integrated networks manage risk — and contract-based performance
With the right analytic insights, a CIN can not only stratify patients by risk, but also provide insights in near real-time about which areas of care delivery are costing the most and why, and what CINs can do about it.