This research investigated on the medical recorder manpower relation by before / after medical record computerization for the object of 51 hospitals in 1998 year. Judging from the situation before / after computerization shown on this investigation, the number of personnels was more increased since computer work than manual work, and the medical recorder present conditions by years show that they have been gradually increasing. This is considered why affairs diversely change according to computerization, the auxiliary recorder present conditions shows the reduction of 98 year in comparison with 94 year. This is regarded that personnels were reduced by facilities like existing transporting pipes. Accordingly, vast data are produced and utilized in the medical record department(room) too, therefore information will be quickly / correctly dealt for this. The times invested for simple affairs will be easily diminished by making existing simple affairs be computerized, and so personnels will have to be invested to earnestly / diversely utilize vast information not to reduce personnels in proportion to diminished times.
Humans ; Medical Record Administrators* ; Medical Records*

No abstract available.
Education ; Humans ; Korea ; Licensure ; Medical Record Administrators ; Medical Records

BACKGROUND: It is not possible to measure how much activity is required to understand and code a medical data. We introduce an assessment method in clinical coding, and applied this method to neurosurgical terms.METHODS: Coding activity consists of two stages. At first, the coders need to understand a presented medical term (informational activity). The second coding stage is about a navigating terminology browser to find a code that matches the concept (code-matching activity). Systematized Nomenclature of Medicine – Clinical Terms (SNOMED CT) was used for the coding system. A new computer application to record the trajectory of the computer mouse and record the usage time was programmed. Using this application, we measured the time that was spent. A senior neurosurgeon who has studied SNOMED CT has analyzed the accuracy of the input coding. This method was tested by five neurosurgical residents (NSRs) and five medical record administrators (MRAs), and 20 neurosurgical terms were used.RESULTS: The mean accuracy of the NSR group was 89.33%, and the mean accuracy of the MRA group was 80% (p=0.024). The mean duration for total coding of the NSR group was 158.47 seconds, and the mean duration for total coding of the MRA group was 271.75 seconds (p=0.003).CONCLUSION: We proposed a method to analyze the clinical coding process. Through this method, it was possible to accurately calculate the time required for the coding. In neurosurgical terms, NSRs had shorter time to complete the coding and higher accuracy than MRAs.
Animals ; Clinical Coding ; Humans ; Medical Informatics ; Medical Record Administrators ; Methods ; Mice ; Neurosurgeons ; Systematized Nomenclature of Medicine

OBJECTIVES: Coding Systematized Nomenclature of Medicine, Clinical Terms (SNOMED CT) with complex and polysemy clinical terms may ask coder to have a high level of knowledge of clinical domains, but with simpler clinical terms, coding may require only simpler knowledge. However, there are few studies quantitatively showing the relation between domain knowledge and coding ability. So, we tried to show the relationship between those two areas. METHODS: We extracted diagnosis and operation names from electronic medical records of a university hospital for 500 ophthalmology and 500 neurosurgery patients. The coding process involved one ophthalmologist, one neurosurgeon, and one medical record technician who had no experience of SNOMED coding, without limitation to accessing of data for coding. The coding results and domain knowledge were compared. RESULTS: 705 and 576 diagnoses, and 500 and 629 operation names from ophthalmology and neurosurgery, were enrolled, respectively. The physicians showed higher performance in coding than in MRT for all domains; all specialist physicians showed the highest performance in domains of their own departments. All three coders showed statistically better coding rates in diagnosis than in operation names (p < 0.001). CONCLUSIONS: Performance of SNOMED coding with clinical terms is strongly related to the knowledge level of the domain and the complexity of the clinical terms. Physicians who generate clinical data can be the best potential candidates as excellent coders from the aspect of coding performance.
Clinical Coding ; Electronic Health Records ; Humans ; Medical Record Administrators ; Neurosurgery ; Ophthalmology ; Specialization ; Systematized Nomenclature of Medicine

OBJECTIVES: We attempted to assess the accuracy of ICD codes for cerebrovascular diseases in medical insurance claims (ICMIC) and to investigate the reasons for error. This study was designed as a preliminary study to establish a nationwide surveillance system. METHODS: A total of 626 patients with medical insurance claims who indicated a diagnosis of cerebrovascular diseases during the period from 1993 to 1997 was selected from the Korea Medical Insurance Corporation cohort (KMIC cohort: 115,600 persons). The KMIC cohort was 10% of those insured who had taken health examinations in 1990 and 1992 consecutively. The registered medical record administrators were trained in the survey technique and gathered data from March to May 1999. The definition of cerebrovascular diseases in this study included cases which met one of two criteria (Minnesota, WHO) or 'definite stroke' in CT/MRI finding. We questioned the medical record administrators to explain the error if the final diagnoses were not coded as stroke. RESULTS: The accuracy rate of the ICMIC was 83.0% (425 cases). Medical records were not available for 8.2% (51 cases) due to the closing of hospitals, the absence of a computer system or omission of medical record, etc. Sixty-three cases (10.0%) were classified as impossible to interpret due to insufficient records in 'major clinical symptoms' or 'neurological deficits'. The most common reason was 'to meet review criteria of medical insurance benefits (52.9%)'. The department where errors in the ICMIC occurred most frequently was the department for medical insurance claims in the hospital. CONCLUSION: The accuracy rate of the ICMIC was 83.0%.
Cohort Studies ; Computer Systems ; Diagnosis ; Humans ; Insurance Benefits ; Insurance* ; International Classification of Diseases* ; Korea ; Medical Record Administrators ; Medical Records ; Stroke

OBJECTIVE: As an electronic health record system is implementing in Korean health care sectors, concerns about key functionalities of electronic health record systems are increasing. The purpose of this study was to identify core functions and set the priority in electronic health record systems under the Korean contexts in order to assure and improve the quality of the systems. METHODS: A survey was conducted using questionnaire developed by the study team based on literature review. The subjects were medical record administrators working at medical record department in general hospitals. RESULTS: The response rate was 59.8%(55/92). The functions which more than ninety percent of subjects responded as necessary right now and/or in near future related to 'drug alert', 'clinical guideline', 'chronic disease management', 'automated real-time surveillance', 'coded data', 'result reporting', 'de-identifying data', 'disease registry', and 'provider-provider communication and connectivity'. CONCLUSION: The results showed the high prioritized functions were decision support and health information/data management.
Electronic Health Records* ; Health Care Sector ; Hospitals, General* ; Humans ; Medical Record Administrators ; Medical Records ; Needs Assessment* ; Surveys and Questionnaires