Most models predict a patient’s risk of readmission by scanning medical records and/or claims data. A few use ZIP code-level census information. These approaches overlook telling details and miss more than 30% of high risk patients. Forecast Health draws on more than 4,000 data elements about each patient’s finances, transportation options, lifestyle, social media activity and other social determinants of health. This allows ACOs, post acute care providers, hospitals and plans to pinpoint which patients are at high risk, which are impactable, and what can be done to keep them in better health.
$8 million+. Savings a typical 500 bed hospital can realize by using Forecast Health over the LACE model.
Forecast Health’s predictive analytics are up to twice as accurate as LACE, BOOST and other commonly used models. The Society of Actuaries reported that Forecast Health had the highest accuracy in predicting the top 1% of costs and costs across a population.
By identifying impactable patients — and not just high risk ones — we help organizations target resources in ways that provide the highest payback in patient health and hospital performance.
Use Forecast Health’s advanced analytics engine to incorporate person-level social determinants of health in a variety of your existing in-house business and clinical applications.
Accurately predicting risk is important, but it’s only the first step. We then provide care managers highly individualized recommendations to improve the health of each patient. Does he require transportation assistance to get to a follow up appointment? Does she need help affording her medications (though she doesn’t tell her physician)? Does he need caregiver support to stay on his regimen? Does she need a skilled nursing facility for rehab? Answers to questions like these can tell us a lot about how to provide the best care for each patient.
20%. Reduction in readmissions for a typical hospital that switches from one of the commonly used predictive models to Forecast Health.
At the point of care, providers are given specific recommendations to improve patient health.
Busy clinicians don’t have time for data for data’s sake. We help the clinician provide the best possible care with data that’s easy to access, understand and act on.
Improved population health begins one patient at a time. By focusing on how to make each patient healthier, we help organizations boost Star ratings and increase competitiveness and financial performance.
By embedding results in EMR and care management platforms, we’ve made predictive analytics easier to access, understand and act upon. Providers don’t need to toggle to other platforms, workflow isn’t interrupted, and the discharging clinician can quickly see a patient’s risk profile before she leaves the hospital.
91%. Forecast Health’s C-Statistic, a common measure of the accuracy of predictions. By contrast, most commercial predictive models have a C-Statistic in the low 70s.
At the point of care, providers can quickly glean a patient’s risk factors and impactability.
We’ve embedded Forecast Health’s analytics in all major EMR and care management platforms.
ACOs will realize fewer penalties, profitable bundled payments, and better overall financial performance. And Forecast guarantees that the savings will exceed its fees.
If a patient's risk arises from cost, the ACO can provide discount meds; if it comes from limited caregiver support, they can order a visiting nurse. Forecast Health provides the patient-specific insights organizations need to provide higher quality care.Dr. Brian P. GoldsteinChief Health System Officer at University of Washington Medicine, Member of Forecast Health's Board of Directors
A successful predictive analytics program starts with an understanding of the opportunities in your population. Receive a custom analysis of your ACO claims data, including insights on leakage and provider-specific care coordination opportunities, available only from Forecast Health