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- W2795850007 abstract "You have accessJournal of UrologyGeneral & Epidemiological Trends & Socioeconomics: Value of Care: Cost & Outcomes Measures I1 Apr 2018MP76-07 UTILIZATION OF AN INTERNET OF THINGS INDOOR GPS SYSTEM AND TIME-DRIVEN ACTIVITY-BASED COSTING TO ENHANCE HEALTH CARE DELIVERY IN A UROLOGIC ONCOLOGY CLINIC: A PROOF-OF -PRINCIPLE Aaron Laviana, Valeria Tringali, David Penson, and Matthew Resnick Aaron LavianaAaron Laviana More articles by this author , Valeria TringaliValeria Tringali More articles by this author , David PensonDavid Penson More articles by this author , and Matthew ResnickMatthew Resnick More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2018.02.2575AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES While political uncertainties remain surrounding the future of American health care, there is consistent bipartisan support for improving health care value. An Internet of Things (IoT) real-time tracking system has become a critical component of many industries to offer detailed insights into operational flow management and cost reduction. Nascent in health care, we report the first surgical report of this system in order to develop exportable strategies that target inefficiency. Furthermore, we utilized time-drive activity-based costing (TDABC) to determine baseline costs of treatment prior to implementing reform. METHODS We used an IoT Bluetooth Low Energy (BLE)-based real time tracking system (RTLS, Bluvision Inc.) to track 304 consecutive urologic oncology patients in our clinic as well as all staff that interacted with these patients at room-level accuracy (Analytics and RTLS Calibration, ClearView MD, Inc.). For each visit, patients and staff wore badges (beacons) that allowed their approximate location to be tracked by the calibrated system of BLE gateways. Patient and provider location accuracy was externally validated by an independent observer. We then utilized TDABC as previously described to calculate the cost of each phase of care of the clinic visit. RESULTS Granular process flow maps were created for each of the 304 patients seen in our urologic oncology clinic (including 110 prostate cancer, 44 bladder cancer, and 32 renal cell carcinoma visits). External validation of 10 randomly selected patients confirmed beacon room accuracy within 30 seconds. Figure 1 details the median time of each phase of care for our renal cell carcinoma patients (Figure 1). Utilizing TDABC, the average cost per renal cell visit was $86 and median wait time 30 minutes. CONCLUSIONS BLE tracking systems are frequently advertised to be less than 1/5 the cost of legacy tracking solutions. With the proper configuration and analytics, we believe this approach has the potential to nearly fully automate operations flow mapping and allows for accurate direct labor costs in health care. We demonstrate this system can be successfully implemented in urology, and we next seek to develop strategies that mitigate inefficiency and minimize cost. © 2018FiguresReferencesRelatedDetails Volume 199Issue 4SApril 2018Page: e1020-e1021 Advertisement Copyright & Permissions© 2018MetricsAuthor Information Aaron Laviana More articles by this author Valeria Tringali More articles by this author David Penson More articles by this author Matthew Resnick More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ..." @default.
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- W2795850007 title "MP76-07 UTILIZATION OF AN INTERNET OF THINGS INDOOR GPS SYSTEM AND TIME-DRIVEN ACTIVITY-BASED COSTING TO ENHANCE HEALTH CARE DELIVERY IN A UROLOGIC ONCOLOGY CLINIC: A PROOF-OF -PRINCIPLE" @default.
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