How to integrate predictive analytics into a practice — 4 suggestions

Written by Megan Wood | April 22, 2016 | Print  |

How can health systems integrate predictive analytics into the everyday delivery of patient care? Harvard Business Review offer some strategies.

Here are four suggestions:

 

1. Figure out the clinical decision an algorithm will inform. Many algorithms will predict a patient's risk of readmission, for example, but providers want to know specific questions within that — when can I discharge my patient? Will my patient need a home care visit?

 

2. Use electronic health record data. Algorithms will only be helpful if backed by a strong layer of data. More clinical data will deliver better algorithm accuracy and potential for good outcomes.

 

3. Zone in on low-value decision points. Predictive analytics may allow physicians to only use expensive interventions for high-risk patients who can benefit.

 

4. Integrate analytics into workflow. If the algorithms don't fit seamlessly into existing workflows, physicians may be more likely to ignore the information.

 

More articles on practice management:
Rothman Institute, Humana sign in-network contract including Medicare Advantage: 5 key notes
US physician practices spend $15.4B+ yearly on quality reporting: 8 survey findings
Lancaster Regional plans new orthopedic outpatient center — 4 notes

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