title: [Analysis and consider of technical identification for 32 cases medical tangle in medical association].
abstract: OBJECTIVE
  To analyze cause of medical accidents and actuality of technical identification in medical tangle.
  
  
  METHODS
  32 cases (17 death, 15 survive) of medical tangle by technical identification (according to sex, age, mostly diseases, sequel) and identified results (whether or not mistake, cause and effect connection, duty degree) have been studied.
  
  
  RESULTS
  13 cases of 32 medical accidents have been determined.19 cases have been attributed to no medical accidents. Causes of medical accidents were most due to negligence of sense of duty.
  
  
  CONCLUSIONS
  The incidence rate of medical accidents can be decreased by strengthen colligated stuff of medical affairs personnal. We suggest that our state bring out more perfect legislation of autopsy in order to gain positive effect of technical identification in medical tangle. The medical mistake among grade of medical accidents should be added so that justice of identification could be improved.
authors.affiliation: Department of Forensic Medicine, Tongji Medical College of Huazhong Science and Technology University, Wuhan 430030, China.
authors.forename: Ling-li
authors.initials: LL
authors.lastname: Zhang
authors.forename: Guang-zhao
authors.initials: GZ
authors.lastname: Huang
authors.forename: Xiao-rui
authors.initials: XR
authors.lastname: Chen
authors.forename: Yi-wu
authors.initials: YW
authors.lastname: Zhou
authors.forename: Liang
authors.initials: L
authors.lastname: Liu
mesh_terms: D000059:Accidents / Q000401:mortality; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001344:Autopsy / Q000331:legislation & jurisprudence; D002423:Cause of Death; D002648:Child; D002675:Child, Preschool; D005104:Expert Testimony / Q000331:legislation & jurisprudence / Q000379:methods; D005260:Female; D005554:Forensic Medicine; D006801:Humans; D007223:Infant; D008297:Male; D008318:Malpractice / Q000331:legislation & jurisprudence* / Q000706:statistics & numerical data; D019300:Medical Errors / Q000331:legislation & jurisprudence / Q000517:prevention & control / Q000706:statistics & numerical data; D008875:Middle Aged; D012189:Retrospective Studies; D055815:Young Adult