Finding best practices and systematizing them across your organization can be a herculean task. Effective clinical pathways hold the promise of delivering high quality care at lower and more predictable costs. However, clinical pathways are difficult to develop, maintain, and optimize. Typically, providers leverage peer-reviewed studies and expert physician knowledge to glean and tailor these pathways to best meet their care quality requirements. This approach, however, relies on consensus, across a limited number of clinicians, and on information gathered from an intentionally narrow scope addressed in clinical trials. Current approaches limit adoption and result in wasteful variations in care. By some estimates, 30% of all Medicare clinical care spending could be avoided without worsening health outcomes1.
Ayasdi's software application for developing clinical pathways and managing clinical variation represents a revolutionary, data-driven approach to helping you develop, maintain and optimize clinical pathways. The solution uses advanced analytics to automatically discover optimal patient protocols - from your own data. This significantly improves physician acceptance. Within minutes, your clinicians can determine the clinical steps that deliver the best patient outcomes, at the lowest cost per patient. They can also model the impact of pathway changes on future patient outcomes, such as re-admissions. And the pathways continue to adjust as new data arrives.
Some of the most innovative hospital systems use Ayasdi's clinical pathways analytics software to develop data-driven clinical pathways to improve outcomes while lowering the cost of care.
This screenshot from Ayasdi Care shows actual clinical pathways for patients compared to the optimal clinical pathways derived from EMR and billing data. The orange dots show the prevalence of a specific step in successful patient outcomes (defined in this case by length of stay, the right outcome for total knee replacement procedures).
For instance, one hospital system estimates saving over $100 million in three years by accelerating the development of pathways four-fold and improving clinician adoption by 20% each year.
This screenshot from Ayasdi Care shows the "a-ha" moment for a major hospital system. It identifies a CNS drug, Pregabalin, as a key element in successful knee surgery.
Ayasdi's Clinical Variation Management application is designed to extract subtle signals from complex data, ensuring that all variables are taken into account when predicting an outcome. Your clinicians can then tailor these pathways based on their experience to deliver more personalized care. By taking both costs and outcomes into account, Chief Medical Officers and Operations teams can rest assured that their hospitals are delivering the highest quality of care at the lowest cost. And your patients and their families gain greater comfort knowing that they are receiving data-driven, personalized care.
If your organization has a clinical pathways or clinical variation initiative underway we should be talking. We have a number of additional resources that you can check out as well:
1 John Wennberg et al. Tracking the Care of Patients with Severe Chronic Illness – The Dartmouth Atlas of Health Care 2008, The Dartmouth Institute for Health Policy and Clinical Practice.