By Romanus M. Joseph PhD(c), MBA, MSN, RN – Director of Clinical and Quality Improvement at Health Data Analytics Institute
What If You Could See Risk Before It Becomes Reality?
Discharge planning shouldn’t start on day of discharge. It should begin soon after a patient is admitted to the hospital, and ideally, within 24 hours of admission. Too often, risk escalates while clinicians are left to react instead of prevent.
Imagine knowing that a patient has a high risk of readmission in the next 30 days due to their CKD and Diabetes —not after discharge, but on Day 2 of the stay. Our models surface early indicators—things like subtle risk escalation, chronic condition complexity, and previous bounce-back patterns to give clinicians more than just a score.
Whether it’s likelihood to discharge to hospice or likelihood to need skilled nursing care, our platform sifts through mountains of data deep in the chart and places predictive signals directly into your workflow, helping nurses and physicians act before the moment is lost.
Clinician Reflection Prompt:
- “If I knew this patient had a 3 times average readmission risk, what would I do differently today?”
We don’t need to work harder. We need to work earlier. If that resonates with you, let’s talk about what proactive care could look like with the right insight at your fingertips. Let’s schedule a chat.
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