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Joint Implant Surgeons of Florida Deploys RTLS Patient Work-flow Management Solution to Improve Efficiency and Patient Experience
Date:3/19/2013

verage standard cycle times based on the type of patient.

Solstice Medical's RTPF software analyzes actual transaction times (e.g., wait time, exam time and total cycle time by patient type) against pre-programmed benchmarks. The solution's two-way messaging capabilities reduce patient wait times by alerting staff if patients exceed the standard acceptable wait time. Also, by automating patient queuing, patients are prioritized differently, thus improving wait times at the busy clinic.

"Having location-based, timed notifications means that we greatly reduce the chance of ever missing a patient, which is commonplace in many clinics. We can prioritize patient load and treat patients with emergencies, without increasing wait times for everyone. Best of all, we have dynamic, real-time intelligence to improve scheduling in the future," notes Renee Humbert , Practice Administrator at Joint Implant Surgeons of Florida.

Humbert adds, "Patients can choose to go to any Physician and facility they want. By adopting cutting-edge technology and using it to positively impact the patients' experience, we feel it also creates a competitive advantage for us, which is so critical in today's medical environment."

The joint Solstice Medical/Ekahau solution also offers predictive intelligence so that schedules can be optimized. As predictive models indicate a full schedule based on appointment types and average cycle times, the clinic administrator can determine if additional open hours are required to meet the patient load while maintaining quality of care. The solution also helps predict the volume of joint injectables that must be prepared each day, helping reduce waste and lower costs.

JISF uses this intelligence to implement clinic policies to ensure optimized performance. The real-time tracking software interface allows caregivers to see if a physician is in a patient room with a patient w
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SOURCE Ekahau Inc.
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