Enterprise RTLS Data Capture and Analysis



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Enterprise RTLS Data Capture and Analysis Session ID: Symposium RFID3 DISCLAIMER: The views and opinions expressed in this presentation are those of the author and do not necessarily represent official policy or position of HIMSS.

Conflict of Interest Disclosure Scott Phillips has no real or apparent conflicts of interest to report 2013 HIMSS

Learning Objectives 1. Describe benefits that can be realized with enterprise data capture and analysis. 2. Discuss the differences between local and enterprise data capture and analysis. 3. Be Ready - Identify requirements to transition from local to enterprise reporting.

Kaiser Permanente 8 regions serving 9 states and the District of Columbia 9 million members 17,000 physicians; 173,000 employees (including 49,000 nurses) 37 hospitals (co-located with medical offices) 611 medical offices and other outpatient facilities $48 billion operating revenue $2 billion net income $1.8 billion invested in our community 67 years of providing care

Current RFID Use Cases Installed Active RFID Tag Adoption at KP Active RFID (RTLS) Asset Tracking Equipment Maintenance Asset Management Rentals Equipment Loss/Shrinkage Temperature Monitoring Infant Safety Passive Mail Order Pharmacy Implementing Active RFID Geographical Activity Production Total Asset Tags ~147,000 Temperature Sensors: ~6,000 Wireless Location Coverage: ~32,000,000 Sq Ft

Historical Timeline 232 298 337 Medical offices, surgery centers and other buildings Hospitals 31 51 1 4 7 25 34 37 2007 2008 2009 2010 2011 2012 2013 NCAL Asset Tracking Pilot LA Medical Center SCAL Local Asset Tracking Deployments Asset Tracking, Temperature 18 Sites Tracking & Temp Mid-Atlantic Purchase Tracking & Temp NCAL Expansion Many individual purchases initially Recent regional purchases advance aggregate analysis and reporting requirements Care-Fusion IV Pump Purchase Tracking & Temp - Hawaii SCAL Regional Asset Tracking

Enterprise Reporting - Benefits Optimize equipment inventories by site, region, enterprise, etc. Opportunities to reduce excess purchasing With improved visibility, start to identify largest aggregated overages/shortages and prioritize them first Use overages to address shortages enterprise wide Minimize time from request for additional equipment to decision Find equipment that migrated Better national/regional program planning Medical Center B Medical Center C Medical Center A Medical Center D Enterprise DB

Enterprise Reporting - Questions How many assets do we have nationally, regionally? Does each hospital and medical office have sufficient quantities? Excess? Did equipment disappear or simply migrate to another building? Can we reallocate rather than purchase equipment to address our needs? What can location tell us about utilization? National maintenance or recall planning and sweeps National and regional excess equipment found avoiding unnecessary purchases Plan the wireless network coverage or bandwidth based on equipment density

Enterprise Reporting Versus Local Differences Requirements Reporting Scope Target coverage Local Reporting Single hospital with support buildings Selective; hospital, then prioritized buildings Support for national purchasing, project planning Limited Yes Identify unofficial equipment migrations No Yes Data consistency Helpful Critical Coverage consistency Helpful Important Location consistency Helpful Important Enterprise system integration readiness Unlikely Enterprise Reporting All buildings by hospital including support buildings All hospitals and medical offices Critical

Kaiser Permanente Phased Approach Criteria Phase 1 Phase 2 Phase 3+ Aggregate data into single location Common data standards (asset names, taxonomy) Identify missing equipment Push button reporting Identify home medical center Pull asset data from home medical center Define utilized/non-utilized by equipment type and/or manufacturer Integrate to medical devices (i.e. IV Pumps) Predict utilization based on location patterns (nonintegrated equipment) Integrate CMMS, Finance, Supply Chain

Report Example #1 Inventory All Sites Note: Data in this report is purely for illustration purposes and is not intended to reflect actual data.

Report Sample #2 Note: Data in this report is purely for illustration purposes and is not intended to reflect actual data.

Conclusions / Lessons Learned Benefits of enterprise reporting Differences between local and enterprise reporting Transition from local to enterprise may require Data standards Location standards Integration planning