Designing and validating a low-cost real time locating system to continuously assess patient wait times.
Objective: Outpatient clinics lack infrastructure to easily measure and understand patient wait times. Our objective was to design a low-cost, portable passive real time locating system within an outpatient clinic setting to measure patient wait times and patient-provider interactions.Materials and...
| Publicado en: | Journal of Biomedical Informatics Vol. 106 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
Jun2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=143659815&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143659815 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15320464 OMB jtl: Journal of Biomedical Informatics issn: 15320464 maglogo: N pubinfo: dt: Jun2020 vid: 106 pid: 735 pub: Academic Press Inc. place: Burlington, Massachusetts artinfo: ui: 143659815 143659815 NLM32339749 143659815 10.1016/j.jbi.2020.103428 NLM32339749 143659815 ppct: 1 formats: tig: atl: Designing and validating a low-cost real time locating system to continuously assess patient wait times. aug: au: Newman-Casey, Paula Anne Musser, John Niziol, Leslie M. Shedden, Kerby Burke, David Cohn, Amy affil: Department of Ophthalmology & Visual Sciences, University of Michigan Medical School, MI, United States sug: subj: Radio Frequency Identification Waiting Lists Systems Analysis Human Computer Systems Comparative Studies Multicenter Studies Evaluation Research Validation Studies Scales Ferrans and Powers Quality of Life Index ab: Objective: Outpatient clinics lack infrastructure to easily measure and understand patient wait times. Our objective was to design a low-cost, portable passive real time locating system within an outpatient clinic setting to measure patient wait times and patient-provider interactions.Materials and Methods: Direct observation was used to determine workflow in an outpatient glaucoma clinic at the University of Michigan. We used off-the shelf, antenna-integrated ultra-high frequency (UHF) RFID readers (ThingMagic, Astra-Ex, Woburn, MA) and UHF re-useable passive RFID tags (Zebra Impinj Monza 4QT, Seattle, WA). We designed a custom RFID management application in the Java programming language that was equipped with 'live' device administration to collect time and location data from patients and providers. These hardware choices enabled low cost system installation. Hidden Markov Modeling (HMM) was used to smooth patient and provider location data. Location data were validated against direct observations and EHR evaluation.Results: The HMM smoothed RFID system data accurately predicted patient location 80.6% of the time and provider location 79.1% of the time, compared to direct observation locations, an improvement over the raw RFID location data (65.0% and 77.9% accurate, respectively). Patient process time was on average 42.8 min (SD = 27.5) and wait time was 47.9 min (SD = 33.1). The installation and recurring capital costs of the system are approximately 10% of available commercially-supplied patient/provider tracking systems.Discussion: Passive RFID time study systems can enable real-time localization of people in clinic, facilitating continuous capture of patient wait times and patient-provider interactions. The system must be tailored to the clinic to accurately reflect patient and provider movement.Conclusions: Capturing wait time data continuously and passively can empower continuous clinical quality improvement initiatives to enhance the patient experience. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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