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The Future of Predictive Analytics



A review of predictive analytics


Predictive analytics uses real world evidence from statistical patient data. It takes historical data and forms an accurate prediction about outcomes in the future. The data is retrieved from electronic medical records. This vital information equips clinicians to deliver care to patients at the right time. As a result, predictive technology helps clinicians determine a more considerate care plan for their patients.


More accurate predictions


Predictive models will improve as they continue to learn the behavior and overall condition of patients. The data as a whole improves and thus the insights into a patient become clearer. More accurate predictions inform clinicians on precise outcomes and allows them to coordinate their schedules to cater to patients in a wholistic manner.


Delivering personalized care


Predictive analytics also gives way to more personalized care as well. Analytics that can predict a patient’s outcome means that care teams are empowered to build plans that best support their patients. Essentially, they’re able to provide a more personalized experience that addresses the needs of the patient. Insights from predictive analytics transform how care is delivered for both clinicians and patients involved.


How Muse uses predictive analytics


The technology used by Muse leverages machine learning and predictive analytics to learn from each patient visit to predict a potential outcome. It also alerts clinical staff of when a patient may be in decline and may require additional care. The tool in turn gradually improves the coordination and the quality of care in a person’s final days.


The future is clearly here. What does that mean for your hospice? Have you incorporated current trends in technology to better serve your staff and patients? If not, let’s chat further. Contact us to learn how predictive analytics will help your agency.



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