Background: Electronic Health Record is one of key ways for decline expenditure associated health care system because limited economical and can direct to decreasing the charge of healthcare services, decreasing the medical errors, and raising the patient’s satisfaction. Due to Babol
pre-hospital emergency organization did not have any electronic health record, this study was conducted to Design and set up of electronic data bases of
emergency patients in Babol, Iran.Methods: This descriptive cross-sectional study was conducted on 5453 missions of Babol medical
pre-hospital emergency, which lead to outpatient treatment or transfer of patient to hospital between 2015 to 2016. Sampling method was Census. In this study data was gathered through designed data sheet. First, the initial data sheet for recording information in Access software (Microsoft Office Version 2016) is designed by the
emergency personnel of 115 Babol, and after confirmation by an expert on the medical
emergency department and Statistics Consultant after a month is used. Babol Emergency Data Bank (BEDB) was included demographic data, trauma data, treatment intervention, chief complain, and Prehospital time interval. Activation time(AT), Time (rT), Response Time(RT), On-scene time(OST), Transport time(TT), Total Pre Hospital time(TPHT), In hospital time(HT), Return Time(RT),Total Mission Time(TMT) defined. data was analyzed by SPSS 23. T test, chi square was used and the significance level was set at 0.05.Results: Of 5453 mission that entered in BEDB, 2924 cases (53.1%) male and 2011 cases were (36.9%) female. Most of patients age (42.4%) were 18 to 45 years. Of 11 Babol Emergency code, Distribution the type of mission was 2206(40.5%)urban vs. 1773(32.5%) rural. Most chief complaint 1583(29.03%) was trauma The difference in mean- time according Base type were all statistically significant except OST and HT(p> 0.05). In addition, the mean- time according traffic pass way rT(0.001), RT, TT,TPHT(<0.0001),OST(0.009), RT(0.04) and TMT(0.002) and location AT(0.009), rT(0.001), RT, TT, TPHT,RT, TMT(<0.0001) and HT(0.04) were statistically significant. the highest missing was seen first in drug history (91%), second sign and symptom (69%) and third in temperature (55%). The lowest missing was seen in code type of Babol Ambulance (0.01%) and mission conclusion.Conclusion: Missing data in Emergency Organization Form was high in several parameters. It suggests that the application with obligatory filling and alarm if personal not fill the
emergency formcan be used to reduce missing problem. Also, providing of Infrastructures by health care manager such as suitable equipment is important.