OBJECTIVES: The purpose of this study was to design an integrated data management system based on the POCT1-A2, LIS2-A, LIS2-A2, and HL7 standard to ensure data interoperability between mobile equipment, such as point-of-care testing equipment and the existing hospital data system, its efficiency was also evaluated. METHODS: The method of this study was intended to design and realize a data management system which would provide a solution for the problems that occur when point-of-care testing equipment is introduced to existing hospital data, after classifying such problems into connectivity, integration, and interoperability. This study also checked if the data management system plays a sufficient role as a bridge between the point-of-care testing equipment and the hospital information system through connection persistence and reliability testing, as well as data integration and interoperability testing. RESULTS: In comparison with the existing system, the data management system facilitated integration by improving the result receiving time, improving the collection rate, and by enabling the integration of disparate types of data into a single system. And it was found out that we can solve the problems related to connectivity, integration and interoperability through generating the message in standardized types. CONCLUSIONS: It is expected that the proposed data management system, which is designed to improve the integration point-of-care testing equipment with existing systems, will establish a solid foundation on which better medical service may be provided by hospitals by improving the quality of patient service.
Clinical Laboratory Information Systems ; Database Management Systems ; Dietary Sucrose ; Hospital Information Systems ; Humans ; Information Systems ; Medical Order Entry Systems ; Point-of-Care Systems

OBJECTIVES: The usability of clinical information systems (CISs) is known to be an essential consideration in ensuring patient safety as well as integrating clinical flow. This study aimed to determine how usability and safety guidelines of CIS consider clinical workflow through a systematic review in terms of the target systems, methodology, and guideline components of relevant articles. METHODS: A literature search was conducted for articles published from 2000 to 2015 in PubMed, Cochrane, EMBASE, Web of Science, and CINAHL. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement method was employed. Articles containing recommendations, principles, and evaluation items for CIS usability and safety were included. The selected articles were classified according to article type, methodology, and target systems. Taking clinical workflow into consideration, the components of guidelines were extracted and classified. RESULTS: A total of 7,401 articles were identified by keyword search. From the 76 articles remaining after abstract screening, 15 were selected through full-text review. Literature review (n = 7) was the most common methodology, followed by expert opinions (n = 6). Computerized physician order entry (n = 6) was the most frequent system. Four articles considered the entire process of clinical tasks, and two articles considered the principles of the entire process of user interface affecting clinical workflow. Only two articles performed heuristic evaluations of CISs. CONCLUSIONS: The usability and safety guidelines of CISs need improvement in guideline development methodology and with consideration of clinical workflow.
Expert Testimony ; Heuristics ; Hospital Information Systems ; Information Systems* ; Mass Screening ; Medical Order Entry Systems ; Methods ; Patient Safety ; User-Computer Interface

This paper tells you how to build a faster and more reliable interface system between the Hospital Management Information System (HMIS) in the hospital and the Medical Insurance Information System (MIIS) in the Medical Insurance Affairs Management Center (MIAMC). The data standards of the hospital and MIAMC should be integrated in order to reduce the unnecessary real-time transmission, so as to establish and perfect the operation mode in offline status,and to improve the performance of the communication servers. Thus, it would be a more efficient software interface system with a higher bandwidth between HMIS and MIIS. The working efficiency of the interface system and the accuracy of the balance data in the MIAMC are increased while the dependence on the inter-network communication is decreased with an improvement of the reliability and suitability of the interface system.
Ambulatory Care Information Systems ; organization & administration ; Computer Communication Networks ; Hospital Information Systems ; organization & administration ; Insurance, Health ; Management Information Systems ; Microcomputers ; Software Design ; Systems Integration ; User-Computer Interface

This paper introduces the application of a calling and queuing system for blood sample collection in a large hospital in China. Besides the basic function, it has following functions. (a) A real name system: get the number according to the laboratory application form to prevent the phenomena of buying a number and an empty number. (b) Two times waiting: the patient should wait at the main hall, then at the blood sampling window so as to improve the work efficiency. (c) The flowchart for an outpatient blood testing is as following: getting the number --> waiting --> blood sampling --> getting the test information report. This system is capable of not only optimizing the work flow, but also improving the clinical environment. It shortens the patient's waiting time and raises the laboratory quality as well.
Ambulatory Care ; methods ; Ambulatory Care Information Systems ; Blood Specimen Collection ; Laboratories, Hospital ; organization & administration

OBJECTIVE: To solve the ESB bus performance and safety problems caused by the explosive growth of the hospital's business, and to ensure the stable interaction of the hospital's business system. METHODS: Taking the construction of our hospital's information system as an example, we used AlwaysOn, load balancing and other technologies to optimize the ESB bus architecture to achieve high availability and scalability of the hospital's ESB bus. RESULTS: The ESB bus high-availability architecture effectively eliminates multiple points of failure. Compared with the traditional dual-machine Cluster solution, the security is significantly improved. The nodes based on load balancing can be scaled horizontally according to the growth of the hospital's business volume. CONCLUSIONS The construction of the ESB bus high-availability architecture effectively solves the performance and security issues caused by business growth, and provides practical experience for medical information colleagues. It has certain guiding significance for the development of regional medical information.
Hospital Information Systems ; Information Systems

OBJECTIVES: There is a need for effective processes in healthcare clinics, especially in tertiary hospitals, that consist of a set of complex steps for outpatient care, in order to provide high quality care and reduce the time cost. This study aimed to discover the potential of a process mining technique to determine an outpatient care process that can be utilized for further improvements. METHODS: The outpatient event log was defined, and the log data for a month was extracted from the hospital information system of a tertiary university hospital. That data was used in process mining to discover an outpatient care process model, and then the machine-driven model was compared with a domain expert-driven process model in terms of the accuracy of the matching rate. RESULTS: From a total of 698,158 event logs, the most frequent pattern was found to be "Consultation registration > Consultation > Consultation scheduling > Payment > Outside-hospital prescription printing" (11.05% from a total cases). The matching rate between the expert-driven process model and the machine-driven model was found to be approximately 89.01%, and most of the processes occurred with relative accuracy in accordance with the expert-driven process model. CONCLUSIONS: Knowledge regarding the process that occurs most frequently in the pattern is expected to be useful for hospital resource assignments. Through this research, we confirmed that process mining techniques can be applied in the healthcare area, and through detailed and customized analysis in the future, it can be expected to be used to improve actual outpatient care processes.
Ambulatory Care ; Delivery of Health Care ; Hospital Information Systems ; Humans ; Mining ; Outpatients ; Prescriptions ; Tertiary Care Centers

This study was conducted to explore the status of nursing information systems implementation in Korean hospitals. Structured questionnaires were mailed to the 411 hospitals with more than 80 beds. Data were tabulated using descriptive procedure. Out of 411 hospitals, 116 hospitals replied. Out of 116 replied hospitals 114 hospitals indicated that they have some kind of hospital information system implemented. 86 hospitals have computerized their outpatient care management system and 84 hospitals have computerized their inpatient care management system. And 70 hospitals replied that they have some form of nursing information systems. Most components in the nursing information system are the ones related to other department with only a few nursing specific tasks being computerized. Order communication system was ranked the first as a task to be computerized with nursing history. nursing record. nursing care plan, daily report following. Nursing department of the sixty hospitals reflect their input in nursing information system development by participating a hospital wide adhoc committee. And 32 hospitals have their own committee to discuss issues related to nursing information system development. Eleven hospitals reported that they have nurse information and 17 hospitals have dispatched nurses to the information department. And 25 hospitals said that they are not involved at all in nursing information system development. Sixty-two hospitals indicated that the N have some form of computer education programs for nurses: 28 have regular in-service education programs 34 have irregular in-service education programs: and 29 have education programs for the newly employed.
Ambulatory Care ; Education ; History of Nursing ; Hospital Information Systems ; Humans ; Information Systems* ; Inpatients ; Nursing Informatics ; Nursing Records ; Nursing* ; Patient Care Planning ; Postal Service ; Surveys and Questionnaires

After-hours care (AHC) provides medical care after the regular weekday work hours of clinics. In Korea, data from the National Emergency Department Information System showed that approximately 40% of the pediatric patients need AHC. To meet this need, many countries have different models of AHC. In this article, the authors tried to summarize and emphasize the advantages and disadvantages of AHC models in several leading countries. This article can be useful in designing AHC models in Korea because the proportions of potential patients requiring AHC are substantial, and the adoption of AHC models should be seriously considered.
After-Hours Care* ; Ambulatory Care Facilities ; Child ; Delivery of Health Care ; Emergency Service, Hospital ; Humans ; Information Systems ; Korea ; Night Care

No abstract available.
Hospital Information Systems*

In this study, using the HL7 protocol, we developed patient management system gateway which is composed of 2 parts; message transferring-receiving and sentcncc generating-parsing part. To make the gateway more transplantable, it was developed on the PC operated with Windows OS. To make the gateway more productive, it was developed with Visual Basic 6.0. The database was built into MS SQL. Server which is most optimized on MS Windows NT system environment. This gateway system has the advantage of easy data-exchange capability between the patient management systems of medical facility and the messages transferred can he managed systematically and he transplanted easily into PC base hospital information system.
Hospital Information Systems ; Humans