ABSTRACT
Objective To design and develop a Information System for Medical Center of Clinical Audiology , (MCCAIS301 ) .Methods The system framework was established by developing software ,constructing user platform and creating database .An implication procedure was also established for clinical use for the MCCA IS301 .The MC-CAIS301 was connected with the Hospital Information System (HIS) in order to connect the equipment in the auditory clinical center and other clinical database system .Results The MCCAIS301 was a new database system for hospital in-formation management specifically designed for audiological tests .It provided an extra functions of the existing HIS system .The MCCAIS301 could store the testing results from more than ten different hearing instruments made from five different companies .The data from the MCCAIS301 could be transferred to the HIS system .The results of the MCCAIS301 could be retrieved and analyzed using the HIS system .MCCAIS301 system had nine sets of standardized hearing testing results ,five output formats and three statistical analyzing functions .Conclusion The MCCAIS301 is an effective information management system which has a strong practical use to improve the efficiency of daily audiology data analysis .The MCCAIS301 using digital technology moves the audiology data analysis from a manual low efficient stage to an effective and intelligent level .
ABSTRACT
This is a research to enhance the application of natural language understanding and ontology in the Chinese medical text semantic annotation and content analysis, and so to provide technology support for the computer-readable electronic medical records (EMR). The Chinese EMR information extraction and statistical analysis of related subjects in accordance to the user's demands were performed through building the named entity rules, the classified word list and field ontology by using GATE platform on the basis of EMR text set's construction and pre-processing. The automatic and artificial semantic annotation of EMR text set was implemented. The situation of drugs used in medicinal treatment and the distribution of patients' age and sex were obtained. The ontology-based semantic information extraction can improve the function of computer for text understanding, and the discovery of knowledge in EMR through field ontology is feasible.
Subject(s)
Artificial Intelligence , China , Electronic Health Records , Information Storage and Retrieval , Methods , Medical Records Systems, Computerized , Practice Patterns, Physicians'ABSTRACT
Objective To improve the material and personnel management in hospital by promoting construction of information system. Methods Based on the existent network system and RFID technology, the RFID-based system was developed to manage doctors, nurses, patients and material of hospital. Results The system could identify people and material automatically, thus realizing automatic management efficiently. Conclusion The combination of RFID technology and hospital information has good development prospects.
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Public Key Infrastructure (PKI) can provides a series of security services for computer-based patient record information system. This paper discusses the application of PKI to the security of computer-based patient record information system.
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Objective To receive disinfection messages of sickbeds from nurse workstations and to reduce the periods of the request transfer.Methods The system transferred the request for replacing bed between wards and disinfection units by UDP messages,and informed the staff by active speaker and LCD screen.Results The time of replacing beds decreased significantly,so the wards were very satisfied with the disinfection units.Conclusion The system can reduce the time of replacing beds obviously and make the requests for replacing beds satisfied.