Predictive Readmissions Model

Challenge: One of the key indicators of the quality of a hospital's care is how frequently its patients are readmitted within a month after being discharged. A study shows that the federal government's readmission penalties on hospitals will reach a new high as Medicare withholds more than half a billion dollars in payments over the next year. The government will penalize more than half of the nation's hospitals for having more patients than expected return within a month. What tools and solutions exist today to help hospitals reduce readmission rates so as to not be penalized?

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Predera Health Engine

Predictive analytics can help physicians make more accurate diagnoses. For example, when patients come to the ER with chest pain, it is often difficult to know whether the patient should be hospitalized or sent home. Imagine if your electronic health record system (EHR) has access to a solution that utilizes demographic information, past conditions of the patient, prescriptions, historical clinical notes, procedural information and learns from the data a personalized score of riskiness of the patient. This accurate predictive system that would assess the likelihood that the patient could be sent home safely, could be used in conjunction with the physician’s judgment to have a much better outcome for the patient, in turn makes the physician job slightly easier with a high quality outcome for the hospital.

We have built such a predictive healthcare engine that can plug into your electronic health record system (Epic, Cerner, Meditech, AllScripts among others) to learn patient diagnosis models and score patients in real-time for their riskiness. We have built and tested a highly accurate model with low false positives for  Sepsis, All-cause Readmission models and Length-of-Stay at hospitals.

Are you ready for predictive analytics?

If your answers to any of the following questions is YES, you can benefit from our solution

- Do you use an EHR to capture all the historical information of your patients in a warehouse?

- Do you currently use the data to compute quality metrics for your hospital?

- Do you support access to the data source via any exchange protocol like FHIR/HL7?

- Do you wish to learn ahead of time the riskiness of patients, so your physicians and clinical staff can take better decisions?  

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