RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      Promotion of prehospital emergency care through clinical decision support systems: opportunities and challenges

      한글로보기

      https://www.riss.kr/link?id=A106508382

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      Clinical decision support systems are interactive computer systems for situational decision making and can improve decision efficiency and safety of care. We investigated the role of these systems in enhancing prehospital care. This narrative review included full-text articles published since 2000 that were available in databases/e-journals including Web of Science, PubMed, Science Direct, and Google Scholar. Search keywords included “clinical decision support system,” “decision support system,” “decision support tools,” “prehospital care,” and “emergency medical services.” Non-journal articles were excluded. We revealed 14 relevant studies that used such a support system in prehospital emergency medical service. Owing to the dynamic nature of emergency situations, decision timing is critical. Four key factors demonstrated the ability of clinical decision support systems to improve decision-making, reduce errors, and improve the safety of prehospital emergency activity: computer-based, offer support as a natural part of the workflow, provide decision support in the time and place of decision making, and offer practical advice. The use of clinical decision support systems in prehospital care resulted in accurate diagnoses, improved patient triage and patient outcomes, and reduction of prehospital time. By improving emergency management and rescue operations, the quality of prehospital care will be enhanced.
      번역하기

      Clinical decision support systems are interactive computer systems for situational decision making and can improve decision efficiency and safety of care. We investigated the role of these systems in enhancing prehospital care. This narrative review i...

      Clinical decision support systems are interactive computer systems for situational decision making and can improve decision efficiency and safety of care. We investigated the role of these systems in enhancing prehospital care. This narrative review included full-text articles published since 2000 that were available in databases/e-journals including Web of Science, PubMed, Science Direct, and Google Scholar. Search keywords included “clinical decision support system,” “decision support system,” “decision support tools,” “prehospital care,” and “emergency medical services.” Non-journal articles were excluded. We revealed 14 relevant studies that used such a support system in prehospital emergency medical service. Owing to the dynamic nature of emergency situations, decision timing is critical. Four key factors demonstrated the ability of clinical decision support systems to improve decision-making, reduce errors, and improve the safety of prehospital emergency activity: computer-based, offer support as a natural part of the workflow, provide decision support in the time and place of decision making, and offer practical advice. The use of clinical decision support systems in prehospital care resulted in accurate diagnoses, improved patient triage and patient outcomes, and reduction of prehospital time. By improving emergency management and rescue operations, the quality of prehospital care will be enhanced.

      더보기

      참고문헌 (Reference)

      1 Tian Y, "Use of an agent-based simulation model to evaluate a mobile-based system for supporting emergency evacuation decision making" 38 : 149-, 2014

      2 Vicente V, "The use of a prehospital decision system in the emergency medical service: the acute chain for geriatric patients" Inst for Klinisk Forskning Och Utbildning 2013

      3 Jamal A, "The impact of health information technology on the quality of medical and health care: a systematic review" 38 : 26-37, 2009

      4 Holmberg M, "The encounter with the unknown: nurses lived experiences of their responsibility for the care of the patient in the Swedish ambulance service" 5 : 5098-, 2010

      5 Damiani G, "The effectiveness of computerized clinical guidelines in the process of care: a systematic review" 10 : 2-, 2010

      6 Hagiwara MA, "The effect of a Computerised Decision Support System (CDSS) on compliance with the prehospital assessment process: results of an interrupted time-series study" 14 : 70-, 2014

      7 Chang P, "The development of intelligent, triage-based, mass-gathering emergency medical service PDA support systems" 12 : 227-236, 2004

      8 Zatz A, "The blue ‘star of life’: the emergency medical care symbol" Alameda County Public Health Department

      9 Rea TD, "Tem poral trends in sudden cardiac arrest: a 25-year emergency medical services perspective" 107 : 2780-2785, 2003

      10 Karlsten R, "Telemedicine and decision support in emergency ambulances in Uppsala" 6 : 1-7, 2000

      1 Tian Y, "Use of an agent-based simulation model to evaluate a mobile-based system for supporting emergency evacuation decision making" 38 : 149-, 2014

      2 Vicente V, "The use of a prehospital decision system in the emergency medical service: the acute chain for geriatric patients" Inst for Klinisk Forskning Och Utbildning 2013

      3 Jamal A, "The impact of health information technology on the quality of medical and health care: a systematic review" 38 : 26-37, 2009

      4 Holmberg M, "The encounter with the unknown: nurses lived experiences of their responsibility for the care of the patient in the Swedish ambulance service" 5 : 5098-, 2010

      5 Damiani G, "The effectiveness of computerized clinical guidelines in the process of care: a systematic review" 10 : 2-, 2010

      6 Hagiwara MA, "The effect of a Computerised Decision Support System (CDSS) on compliance with the prehospital assessment process: results of an interrupted time-series study" 14 : 70-, 2014

      7 Chang P, "The development of intelligent, triage-based, mass-gathering emergency medical service PDA support systems" 12 : 227-236, 2004

      8 Zatz A, "The blue ‘star of life’: the emergency medical care symbol" Alameda County Public Health Department

      9 Rea TD, "Tem poral trends in sudden cardiac arrest: a 25-year emergency medical services perspective" 107 : 2780-2785, 2003

      10 Karlsten R, "Telemedicine and decision support in emergency ambulances in Uppsala" 6 : 1-7, 2000

      11 Snooks HA, "Support and Assessment for Fall Emergency Referrals (SAFER 1): cluster randomized trial of computerised clinical decision support for paramedics" 9 : e106436-, 2014

      12 Derevitskiy I, "Simulation of emergency care for patients with ACS in Saint Petersburg for ambulance decision making" 108 : 2210-2219, 2017

      13 Yu W, "Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model" 12 : 207-222, 2018

      14 Vicente V, "Randomized controlled trial of a prehospital decision system by emergency medical services to ensure optimal treatment for older adults in Sweden" 62 : 1281-1287, 2014

      15 Jones CM, "Prehospital trauma triage decision-making: a model of what happens between the 9-1-1 call and the hospital" 20 : 6-14, 2016

      16 Rahman AA, "Pre-hospital location based services (LBS) for emergency management" Urban Data Management Society 11-49, 2006

      17 Jensen J, "Paramedic clinical decision-making: results of two Canadian studies" 1 : 63-71, 2011

      18 Henderson SG, "Operations research and health care: a handbook of methods and applications" Springer 77-102, 2005

      19 Elmqvist C, "More than medical treatment: the patient’s first encounter with prehospital emergency care" 16 : 185-192, 2008

      20 Bellini P, "Mobile emergency, an emergency support system for hospitals in mobile devices: pilot study" 2 : e19-, 2013

      21 Mechem CC, "Metropolitan Municipalities EMS Medical Directors Consortium. Resuscitation center designation: recommendations for emergency medical services practices" 14 : 51-61, 2010

      22 Roudsari BS, "International comparison of prehospital trauma care systems" 38 : 993-1000, 2007

      23 Bates DW, "Improving safety with information technology" 348 : 2526-2534, 2003

      24 Thompson SM, "Improving disaster response efforts with decision support systems" 3 : 250-263, 2006

      25 Kawamoto K, "Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success" 330 : 765-, 2005

      26 Andersen SE, "Implementing a new drug record system: a qualitative study of difficulties perceived by physicians and nurses" 11 : 19-24, 2002

      27 Skyttberg N, "How to improve vital sign data quality for use in clinical decision support systems? A qualitative study in nine Swedish emergency departments" 16 : 61-, 2016

      28 Gunnarsson BM, "Factors influencing decision making among ambulance nurses in emergency care situations" 17 : 83-89, 2009

      29 Lyneham J, "Explicating Benner’s concept of expert practice: intuition in emergency nursing" 64 : 380-387, 2008

      30 Mahapatra S, "Emergency departments II: pairing emergency severity index5-level triage data with computer aided system design to improve emergency department access and throughput" Association for Computing Machinery 1917-1925, 2003

      31 Roudsari BS, "Emergency Medical Service (EMS) systems in developed and developing countries" 38 : 1001-1013, 2007

      32 Brice JH, "EMS provider and patient safety during response and transport: proceedings of an ambulance safety conference" 16 : 3-19, 2012

      33 Kovalchuk SV, "Distributed data-driven platform for urgent decision making in cardiological ambulance control" 79 : 144-154, 2018

      34 Inokuchi R, "Development of information systems and clinical decision support systems for emergency departments: a long road ahead for Japan" 30 : 914-917, 2013

      35 Legros B, "Development of an electronic decision tool to support appropriate treatment choice in adult patients with epilepsy: Epi-Scope(R)" 21 : 32-39, 2012

      36 Haghighi PD, "Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings" 54 : 1192-1204, 2013

      37 Repede JF, "Developing and validating a decision support system for locating emergency medical vehicles in Louisville, Kentucky" 75 : 567-581, 1994

      38 Alizadeh B, "Developing an intelligent system for diagnosis of asthma based on artificial neural network" 23 : 220-223, 2015

      39 Vicente V, "Developing a decision support system for geriatric patients in prehospital care" 20 : 240-247, 2013

      40 Hagiwara M, "Decisionsupport tool in prehospital care: a systematic review of randomized trials" 26 : 319-329, 2011

      41 Brigl B, "Decision support, knowledge representation and management: a broad methodological spectrum. Findings from the Decision Support, Knowledge Representation and Management" 81-83, 2006

      42 Hemmerling TM, "Decision support systems in anesthesia, emergency medicine and intensive care medicine"

      43 Burstein F, "Decision support" Springer 163-181, 2011

      44 Hicks FD, "Critical thinking and clinical decision making in critical care nursing: a pilot study" 32 : 169-180, 2003

      45 Ishak W, "Conceptual framework for intelligent decision support system in emergency management" Universiti Utara Malaysian Institutional Repository

      46 Salinas J, "Computerized decision support system improves fluid resuscitation following severe burns: an original study" 39 : 2031-2038, 2011

      47 Gaynor M, "Computational Science: International Conference on Computational Science 2005" Springer 703-711, 2005

      48 Nilsson T, "Clinical decision-making described by Swedish prehospital emergency care nurse students: an exploratory study" 27 : 46-50, 2016

      49 Ehtesham H, "Clinical decision support system, a potential solution for diagnostic accuracy improvement in oral squamous cell carcinoma: a systematic review" 6 : 187-195, 2017

      50 Wireklint Sundstrom B, "Caring assessment in the Swedish ambulance services relieves suffering and enables safe decisions" 19 : 113-119, 2011

      51 Levy G, "Application of information technology within a field hospital deployment following the January 2010 Haiti earthquake disaster" 17 : 626-630, 2010

      52 Sujanto F, "Application of domain ontology for decision support in medical emergency coordination" Americas Conference on Information Systems 33-, 2008

      53 Bashiri A, "Application of artificial neural network technique for diagnosing asthma" 10 : 1-, 2016

      54 Brotcorne L, "Ambulance location and relocation models" 147 : 451-463, 2003

      55 Dunsmuir D, "A knowledge authoring tool for clinical decision support" 22 : 189-198, 2008

      56 Acid S, "A comparison of learning algorithms for Bayesian networks: a case study based on data from an emergency medical service" 30 : 215-232, 2004

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2020-05-08 학회명변경 영문명 : The Korean Society Of Emergency Medicine -> The Korean Society of Emergency Medicine KCI등재
      2018-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2016-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0 0 0
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0 0 0 0
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼