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  • 1
    Online Resource
    Online Resource
    Cambridge University Press (CUP) ; 2014
    In:  Prehospital and Disaster Medicine Vol. 29, No. 6 ( 2014-12), p. 593-599
    In: Prehospital and Disaster Medicine, Cambridge University Press (CUP), Vol. 29, No. 6 ( 2014-12), p. 593-599
    Abstract: Timely transfer of patients among facilities within a regionalized critical-care system remains a large obstacle to effective patient care. For medical transport systems where dispatchers are responsible for planning these interfacility transfers, accurate estimates of interfacility transfer times play a large role in planning and resource-allocation decisions. However, the impact of adverse weather conditions on transfer times is not well understood. Hypothesis/Problem Precipitation negatively impacts driving conditions and can decrease free-flow speeds and increase travel times. The objective of this research was to quantify and model the effects of different precipitation types on land travel times for interfacility patient transfers. It was hypothesized that the effects of precipitation would accumulate as the distance of the transfer increased, and they would differ based on the type of precipitation. Methods Urgent and emergent interfacility transfers carried out by the medical transport system in Ontario from 2005 through 2011 were linked to Environment Canada's (Gatineau, Quebec, Canada) climate data. Two linear models were built to estimate travel times based on precipitation type and driving distance: one for transfers between cities (intercity) and another for transfers within a city (intracity). Results Precipitation affected both transfer types. For intercity transfers, the magnitude of the delays increased as driving distance increased. For median-distance intercity transfers (48 km), snow produced delays of approximately 9.1% (3.1 minutes), while rain produced delays of 8.4% (2.9 minutes). For intracity transfers, the magnitude of delays attributed to precipitation did not depend on distance driven. Transfers in rain were 8.6% longer (1.7 minutes) compared to no precipitation, whereas only statistically marginal effects were observed for snow. Conclusion Precipitation increases the duration of interfacility land ambulance travel times by eight percent to ten percent. For transfers between cities, snow is associated with the longest delays (versus rain), but for transfers within a single city, rain is associated with the longest delays. Giang WCW , Donmez B , Ahghari M , MacDonald RD . The impact of precipitation on land interfacility transport times . Prehosp Disaster Med . 2014 ; 29 ( 6 ): 1 - 7 .
    Type of Medium: Online Resource
    ISSN: 1049-023X , 1945-1938
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2014
    detail.hit.zdb_id: 2162069-6
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  • 2
    Online Resource
    Online Resource
    Institute of Electrical and Electronics Engineers (IEEE) ; 2014
    In:  IEEE Transactions on Human-Machine Systems Vol. 44, No. 1 ( 2014-2), p. 55-65
    In: IEEE Transactions on Human-Machine Systems, Institute of Electrical and Electronics Engineers (IEEE), Vol. 44, No. 1 ( 2014-2), p. 55-65
    Type of Medium: Online Resource
    ISSN: 2168-2291 , 2168-2305
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2014
    detail.hit.zdb_id: 2696560-4
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2015
    In:  Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care Vol. 4, No. 1 ( 2015-06), p. 174-178
    In: Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care, SAGE Publications, Vol. 4, No. 1 ( 2015-06), p. 174-178
    Abstract: Efficient transfer of patients between facilities is a key component of regionalized critical care systems, but interfacility transfers pose added risks to patients. We created a decision support tool for dispatchers in medical transportation systems which provides estimates of the time to definitive care, the time between receiving the transfer request and patient handoff, which is a key component of dispatch decisions. This tool provides point-estimates of transfer times that are more accurate than the dispatchers own estimates, to support resource allocation and medical triage decisions. However, additional information about the uncertainty of these estimates may further improve dispatcher decision making. This paper describes an observational study conducted with 2 expert and 2 novice dispatchers in a medical transportation service on usage of our prototype decision support tool. In particular, we focused on whether these dispatchers use uncertainty information in their decision process, and how this information should be presented in a tool. We found that uncertainty, as represented by of the spread of possible transfer times (i.e., variability of times), is not currently considered by dispatchers. However, our observations suggest that reliability information (i.e., the trustworthiness of the tool's estimates) would be used. Expert dispatchers would use information about the reliability of estimates to build their trust in the system, while novices should use reliability information to calibrate their trust.
    Type of Medium: Online Resource
    ISSN: 2327-8595 , 2327-8595
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2821352-X
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  • 4
    Online Resource
    Online Resource
    SAGE Publications ; 2016
    In:  Proceedings of the Human Factors and Ergonomics Society Annual Meeting Vol. 60, No. 1 ( 2016-09), p. 259-263
    In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, SAGE Publications, Vol. 60, No. 1 ( 2016-09), p. 259-263
    Abstract: Air medical transport relies on effective dispatching of air and land vehicles to provide the fastest and best care possible for patient transfers. These difficult dispatch decisions are characterized by high time pressure, uncertainty, and the dynamic and complex environment of medical transportation. This paper describes a preliminary study of the decision making processes that occur during dispatch decisions at Ornge, the air medical transportation system in Ontario, Canada. We drew upon the Critical Decision Method and the structured data analysis approach to understand the major decision points faced by Ornge’s dispatchers, and the cues and sources of information attended to in those situations. We found that the decision points deal with three main goals: maintain situation awareness, match resource to transfer, and plan logistics of transfer. Furthermore, we found that time estimation might play an important role in helping dispatchers coordinate within the dispatch team and with their external partners. These findings may help improve the design of computer aided dispatch software to better support the goals of the dispatchers.
    Type of Medium: Online Resource
    ISSN: 2169-5067 , 1071-1813
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2016
    detail.hit.zdb_id: 2415770-3
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