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   Monitoring suicidal patients in primary care using electronic health records  
   
نویسنده anderson h.d. ,pace w.d. ,brandt e. ,nielsen r.d. ,allen r.r. ,libby a.m. ,west d.r. ,valuck r.j.
منبع journal of the american board of family medicine - 2015 - دوره : 28 - شماره : 1 - صفحه:65 -71
چکیده    Introduction: patients at risk for suicide often come into contact with primary care providers,many of whom use electronic health records (ehrs) for charting. it is not known,however,how often suicide ideation or attempts are documented in ehrs. methods: we used retrospective analyses of de-identified ehr data from a distributed health network of primary care organizations to estimate the frequency of using diagnostic codes to record suicidal ideation and attempts. data came from 3 sources: a clinician notes field processed using natural language processing; a suicidal ideation item on a patient-reported depression severity instrument (9-item patient health questionnaire [phq-9]); and diagnostic codes from the ehr. results: only 3% of patients with an indication of suicidal ideation in the notes field had a corresponding international classification of diseases,9th revision (icd-9),code (κ = 0.036). agreement between an indication of suicidal ideation from item 9 of the phq-9 and an icd-9 code was slightly higher (κ = 0.068). suicide attempt indicated in the notes field was more likely to be recorded using an icd-9 code (19%;κ = 0.18). conclusions: few cases of suicidal ideation and attempt were documented in patients' ehrs using diagnostic codes. increased documentation of suicidal ideation and behaviors in patients' ehrs may improve their monitoring in the health care system.
کلیدواژه Attempted; Electronic health records; Natural language processing; Suicidal ideation; Suicide
آدرس department of clinical pharmacy,university of colorado,skaggs school of pharmacy and pharmaceutical sciences,12850 e. montview blvd,aurora,co 80045,united states,department of family medicine,university of colorado school of medicine,aurora,united states,department of epidemiology,university of colorado school of public health,aurora, United States, department of family medicine,university of colorado school of medicine,aurora,united states,american academy of family physicians,leawood,ks, United States, american academy of family physicians,leawood,ks, United States, institute of cognitive science,university of colorado,boulder,united states,department of computer science,university of colorado,boulder, United States, peak statistical services,evergreen,co, United States, department of clinical pharmacy,university of colorado,skaggs school of pharmacy and pharmaceutical sciences,12850 e. montview blvd,aurora,co 80045,united states,department of family medicine,university of colorado school of medicine,aurora, United States, department of family medicine,university of colorado school of medicine,aurora, United States, department of clinical pharmacy,university of colorado,skaggs school of pharmacy and pharmaceutical sciences,12850 e. montview blvd,aurora,co 80045,united states,department of family medicine,university of colorado school of medicine,aurora,united states,department of epidemiology,university of colorado school of public health,aurora, United States
 
     
   
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