Literature DB >> 11311669

Hospital and emergency ambulance link: using IT to enhance emergency pre-hospital care.

V Anantharaman1, L Swee Han.   

Abstract

Emergency ambulances traditionally inform receiving hospitals of impending arrival of patients only in instances of load and go situations, which on average constitute less than 5% of ambulance runs. Information transmitted is usually sparse. For all other runs, information is made available only on arrival at the emergency department (ED). There have also been numerous limitations associated with voice transmissions.A comprehensive electronic ambulance case record was created as a pilot project in Singapore between three emergency ambulances and the busiest ED there. All information captured by the ambulance crew, including vital signs information and ECGs was entered or downloaded onto a ruggardised PC in the ambulance and this complete ambulance record was transmitted to the ED. Transmission was wireless via the public mobile data network. A 3-month analysis of this pilot run revealed the following. (1) It was possible to capture a complete ambulance case record electronically at a mean time of 94 s vs 7 min 7 s for the traditional written record. (2) Air transmission time for data was approximately 4 s unless ECG wave forms were also transmitted resulting in transmission times frequently exceeding 60 s. (3) At least 68% of data was transmissible in 75% of Hospital & Emergency Ambulance Link (HEAL) ambulances as opposed to only 25% in less than 5% of non-HEAL ambulances. (4) Paramedics' time in the ED decreased from 15 to 8 min as a result of HEAL. (5) The waiting time for critical care patients to be seen at the ED decreased from 35 to 17 min if brought by HEAL ambulances.(6) The HEAL system was able to effectively prompt paramedics in carrying out critical aspects of treatment in close to 100% of instances. (7) The pilot HEAL system was able to demonstrate a limited amount of automated audit of specific aspects of ambulance runs. Having demonstrated the feasibility of the HEAL system, it is a matter of time before enhanced features such as electronic data collection at patient site, voice activated data entry, transmission of data from site, automated ambulance audits and an enhanced level of professional care in the ambulances become common-place reality.

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Mesh:

Year:  2001        PMID: 11311669     DOI: 10.1016/s1386-5056(01)00137-x

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  11 in total

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Review 2.  Theory and applications of biotelemetry.

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3.  An emergency system to improve ambulance dispatching, ambulance diversion and clinical handover communication-a proposed model.

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Review 4.  The use and interpretation of quasi-experimental studies in medical informatics.

Authors:  Anthony D Harris; Jessina C McGregor; Eli N Perencevich; Jon P Furuno; Jingkun Zhu; Dan E Peterson; Joseph Finkelstein
Journal:  J Am Med Inform Assoc       Date:  2005-10-12       Impact factor: 4.497

5.  Use of an agent-based simulation model to evaluate a mobile-based system for supporting emergency evacuation decision making.

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Review 6.  Health Information Exchange in Emergency Medical Services.

Authors:  Thomas J Martin; Megan L Ranney; James Dorroh; Nicholas Asselin; Indra Neil Sarkar
Journal:  Appl Clin Inform       Date:  2018-12-12       Impact factor: 2.342

7.  Study on the Effect of Prehospital Emergency Nursing Model Based on Network Information Sharing Platform in Acute Ischemic Stroke.

Authors:  Xia Sun; Suwei Sun; Hua Qin; Kai Mu
Journal:  Comput Math Methods Med       Date:  2022-06-20       Impact factor: 2.809

8.  Specifying workflow process requirements for an emergency medical service.

Authors:  M Poulymenopoulou; F Malamateniou; G Vassilacopoulos
Journal:  J Med Syst       Date:  2003-08       Impact factor: 4.460

9.  Collecting core data in physician-staffed pre-hospital helicopter emergency medical services using a consensus-based template: international multicentre feasibility study in Finland and Norway.

Authors:  Kristin Tønsager; Marius Rehn; Kjetil G Ringdal; Hans Morten Lossius; Ilkka Virkkunen; Øyvind Østerås; Jo Røislien; Andreas J Krüger
Journal:  BMC Health Serv Res       Date:  2019-03-08       Impact factor: 2.655

10.  Wireless local area network in a prehospital environment.

Authors:  Dongquan Chen; Seng-jaw Soong; Gary J Grimes; Helmuth F Orthner
Journal:  BMC Med Inform Decis Mak       Date:  2004-08-31       Impact factor: 2.796

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