Improve Patient Scheduling with Analytics
October 26, 2016
But if you can monitor the activity of your referral sources and targets, with the ability to drill down to the user/provider level, it is possible to know where to target behavior change.
For example, a referral source may be sending the majority of appointments to a single provider while others go under-utilized.
If you can identify the trend, it becomes a matter of showing the referral coordinator the other providers where appointments could be routed. Not only does this encourage better provider utilization, it can also lower lead times for patients.
Unless you can see all your referral scheduling data in one place, across disparate systems, it is nearly impossible to identify opportunities to improve.
But with a full view into scheduling data, it is possible to take action in the following areas:
- Change referral patterns to:
- Shorten lead times
- Match patient needs with provider capabilities
- Use higher quality/lower cost providers
- Increase completion rates by:
- Proactively engaging at-risk patients
- Engaging no-show patients in real-time
- Drive “shared consciousness,” and collaborate by:
- Evaluating provider adherence
- Proactively identifying at-risk patients
Real time capacity metrics help identify opportunities to increase utilization, reduce bottle necks and benchmark at the organization, facility and physician level.
To learn how an analytics platform helps deliver the best care and maximizes utilization through data, read our case study, on improving specialty referrals.