Validity and risk factor analysis for helicopter emergency medical services in Japan: a pilot study

[1] Uchida K(2018)Clinical prediction rules to classify types of stroke at prehospital stage Stroke. 49 1820-1827

[2] Yoshimura S(2004)Beneficial effect of helicopter emergency medical services on the survival of severely injured patients Br J Surg 91 1520e6-586

[3] Hiyama N(2012)Criteria for cancelling helicopter emergency medical services (HEMS) dispatches Emerg Med J 29 582-738

[4] Oki Y(2016)Could prioritization by emergency medicine dispatchers be improved by using computer-based decision support? A cohort of patients with chest pain Int J Cardiol 220 734-115

[5] Matsumoto T(2017)The linguistic and interactional factors impacting recognition and dispatch in emergency calls for out-of-hospital cardiac arrest: a mixed-method linguistic analysis study protocol BMJ Open 7 105-44

[6] Tokuda R(2018)Stroke identification by criteria-based dispatch - a register-based study Acta Anaesthesiol Scand 62 9-undefined

[7] Yamaura I(2011)Acute chest pain - a prospective population-based study of contacts to Norwegian emergency medical communication centres BMC Emerg Med 11 84-undefined

[8] Saito S(2018)A novel method of non-clinical dispatch is associated with a higher rate of critical helicopter emergency medical service intervention Scand J Trauma Resusc Emerg Med 26 84-undefined

[9] Takeuchi M(2019)Chest pain in the ambulance; prevalence, causes and outcome - a retrospective cohort study Scand J Trauma Resusc Emerg Med. 27 65-undefined

[10] Shigeta K(2016)Does the Norwegian emergency medicaldispatch classification as non-urgent predict no need for pre-hospital medical treatment? An observational study Scand J Trauma Resusc Emerg Med 24 34-undefined

[1] Uchida K(2018)Clinical prediction rules to classify types of stroke at prehospital stage Stroke. 49 1820-1827

[2] Yoshimura S(2004)Beneficial effect of helicopter emergency medical services on the survival of severely injured patients Br J Surg 91 1520e6-586

[3] Hiyama N(2012)Criteria for cancelling helicopter emergency medical services (HEMS) dispatches Emerg Med J 29 582-738

[4] Oki Y(2016)Could prioritization by emergency medicine dispatchers be improved by using computer-based decision support? A cohort of patients with chest pain Int J Cardiol 220 734-115

[5] Matsumoto T(2017)The linguistic and interactional factors impacting recognition and dispatch in emergency calls for out-of-hospital cardiac arrest: a mixed-method linguistic analysis study protocol BMJ Open 7 105-44

[6] Tokuda R(2018)Stroke identification by criteria-based dispatch - a register-based study Acta Anaesthesiol Scand 62 9-undefined

[7] Yamaura I(2011)Acute chest pain - a prospective population-based study of contacts to Norwegian emergency medical communication centres BMC Emerg Med 11 84-undefined

[8] Saito S(2018)A novel method of non-clinical dispatch is associated with a higher rate of critical helicopter emergency medical service intervention Scand J Trauma Resusc Emerg Med 26 84-undefined

[9] Takeuchi M(2019)Chest pain in the ambulance; prevalence, causes and outcome - a retrospective cohort study Scand J Trauma Resusc Emerg Med. 27 65-undefined

[10] Shigeta K(2016)Does the Norwegian emergency medicaldispatch classification as non-urgent predict no need for pre-hospital medical treatment? An observational study Scand J Trauma Resusc Emerg Med 24 34-undefined