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1.
Journal of Korean Society of Medical Informatics ; : 55-64, 2000.
Article in Korean | WPRIM | ID: wpr-31145

ABSTRACT

The purpose of this study is to identify standardized items from Hospital Discharge Abstract and Analysis data by using UHDDS(Uniform Hospital Discharge Data Sets in USA) and to ascertain the computerization in tertiary hospitals. The data were collected by questionnaire survey, responded 38 hospitals(86.4%) out of 44 tertiary hospitals, and the conclusions are as follows. 1. As for the general characteristics of patient; hospital registration number, patient name, sex and social identification number were reported to 0.92%. 2. As for admission and discharge aspects; admission date was showed 0.92, type of admission and insurance were 0.87%, discharge date 0.92%, the code of primary condition, other diagnoses and primary procedure were 0.89%, disposition of discharge was 0.61%. 3. As for the other characteristics; attending physician license number and name of operating physician were showed 0.87%, birth weight of newborn 0.74%, nationality 0.44%. 4. As for the order communicating system, computerization for the medical record management was showed 57.9%, administration of outpatient 53.6%, administration of inpatient 44.7%, administration of emergency care 28.9%. Judging from the study, the development of Korean Uniform Hospital Discharge Data Sets using Discharge Abstract and Analysis System is applicable to the national wide collection of statistics on the diseases for the discharged patients.


Subject(s)
Humans , Infant, Newborn , Birth Weight , Computer Systems , Dataset , Diagnosis , Emergency Medical Services , Ethnicity , Feasibility Studies , Inpatients , Insurance , Licensure , Medical Records , Outpatients , Surveys and Questionnaires , Social Identification , Tertiary Care Centers , Tertiary Healthcare
2.
Journal of Korean Society of Medical Informatics ; : 15-28, 1998.
Article in Korean | WPRIM | ID: wpr-133253

ABSTRACT

The purpose of this study was to identify important items from the medical records to be used in the standardized discharge abstract. Common items were identified by analyzing medical records from the 11 largest hospitals in Seoul. Non-common items were identified by a questionnaire survey from the directors of medical record departments of 152 teaching hospitals. The results of research was follows; 1. Thirty eight common items were included in the analyzed sheet of 11 hospitals. 2. Eighty two non-common items were identified from the analyzed. Of these,10 items were found to be important items for the discharge abstract. 3. Another 26(half) or 18(first quarter) important non-common items were identified from the survey. 4. It was notified in the non-common standardized items group that the importance of some items like the patient's occupation, underlying cause of death, nosocomial infection, complications, house staff code in charge of completing records, and items concerning quality improvement showed difference by the number of beds. The importance of house staff code who is responsible for completion of the record also showed statistically significant difference by the number of beds per medical record professional and by regions. The item of the types of nosocomial infection also showed statistically significant difference between the regions. Most hospitals obtain a lot of medical information from the computerized discharge abstract. One of the results of the study showed that the concerned sheet can housed as both the data for the medical insurance claims and the basic data for medical quality improvement. Therefore, the discharge abstract should be regarded as the most necessary sheet to be standardized. It was found that 92.8% of the directors of medical record departments of nationwide teaching hospitals acknowledged the necessity of standardization of medical record data set.


Subject(s)
Cause of Death , Cross Infection , Dataset , Hospitals, Teaching , Insurance , Internship and Residency , Medical Records , Occupations , Quality Improvement , Surveys and Questionnaires , Seoul
3.
Journal of Korean Society of Medical Informatics ; : 15-28, 1998.
Article in Korean | WPRIM | ID: wpr-133251

ABSTRACT

The purpose of this study was to identify important items from the medical records to be used in the standardized discharge abstract. Common items were identified by analyzing medical records from the 11 largest hospitals in Seoul. Non-common items were identified by a questionnaire survey from the directors of medical record departments of 152 teaching hospitals. The results of research was follows; 1. Thirty eight common items were included in the analyzed sheet of 11 hospitals. 2. Eighty two non-common items were identified from the analyzed. Of these,10 items were found to be important items for the discharge abstract. 3. Another 26(half) or 18(first quarter) important non-common items were identified from the survey. 4. It was notified in the non-common standardized items group that the importance of some items like the patient's occupation, underlying cause of death, nosocomial infection, complications, house staff code in charge of completing records, and items concerning quality improvement showed difference by the number of beds. The importance of house staff code who is responsible for completion of the record also showed statistically significant difference by the number of beds per medical record professional and by regions. The item of the types of nosocomial infection also showed statistically significant difference between the regions. Most hospitals obtain a lot of medical information from the computerized discharge abstract. One of the results of the study showed that the concerned sheet can housed as both the data for the medical insurance claims and the basic data for medical quality improvement. Therefore, the discharge abstract should be regarded as the most necessary sheet to be standardized. It was found that 92.8% of the directors of medical record departments of nationwide teaching hospitals acknowledged the necessity of standardization of medical record data set.


Subject(s)
Cause of Death , Cross Infection , Dataset , Hospitals, Teaching , Insurance , Internship and Residency , Medical Records , Occupations , Quality Improvement , Surveys and Questionnaires , Seoul
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