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

Background: Reporting rate of notifiable communicable diseases has been assumed to be low in Korea. To encourage timely reporting of notifiable communicable diseases and to improve the reporting process by the Infection Control Unit, a disease code-based electronic surveillance and in-house electronic reporting system was developed and implemented in February 2003. We evaluated the reporting rates of notifiable communicable diseases before and after the implementation of the electronic reporting- system. METHODS: The electronic reporting system, which was integrated to the computerized physician order entry system, was designed to monitor KCD-4 codes at the time of every order entry. Whenever the system recognized the predetermined codes of notifiable communicable diseases, it generated an alert box to recommend reporting: and then a physician could fill up an electronic report form, which was collected and faxed to the local public health authority by the Infection Control Unit. Reporting rate of notifiable communicable diseases in 2002, when the conventional paper-based reporting system was used, was assumed comparing the number of cases reported actually and that of cases identified to be reported by reviewing the medical records and electronic database. RESULTS: From March to July 2003, 181 cases with tuberculosis and 14 with other communicable diseases were reported whereas 106 and 9 cases were reported respectively for the same 5-month period in 2002. Reporting rate using the conventional reporting system in 2002 was assumed to be 61% and 39% respectively. Conclusions: Using a disease code-based electronic reporting system, reporting of notifiable communicable diseases could be improved compared with conventional paper-based reporting system.
Communicable Diseases* ; Disease Notification ; Infection Control ; Korea ; Medical Informatics Applications ; Medical Order Entry Systems ; Medical Records ; Public Health ; Tuberculosis

The life sciences platform based on Oracle database technology is introduced in this paper. By providing a powerful data access, integrating a variety of data types, and managing vast quantities of data, the software presents a flexible, safe and scalable management platform for biomedical data processing.
Computational Biology ; Database Management Systems ; Medical Informatics Applications ; Software

OBJECTIVES: This study demonstrates the feasibility of using expert system shells for rapid clinical decision support module development. METHODS: A readily available expert system shell was used to build a simple rule-based system for the crude diagnosis of vaginal discharge. Pictures and 'canned text explanations' are extensively used throughout the program to enhance its intuitiveness and educational dimension. All the steps involved in developing the system are documented. RESULTS: The system runs under Microsoft Windows and is available as a free download at http://healthcybermap.org/vagdisch.zip (the distribution archive includes both the program's executable and the commented knowledge base source as a text document). The limitations of the demonstration system, such as the lack of provisions for assessing uncertainty or various degrees of severity of a sign or symptom, are discussed in detail. Ways of improving the system, such as porting it to the Web and packaging it as an app for smartphones and tablets, are also presented. CONCLUSIONS: An easy-to-use expert system shell enables clinicians to rapidly become their own 'knowledge engineers' and develop concise evidence-based decision support modules of simple to moderate complexity, targeting clinical practitioners, medical and nursing students, as well as patients, their lay carers and the general public (where appropriate). In the spirit of the social Web, it is hoped that an online repository can be created to peer review, share and re-use knowledge base modules covering various clinical problems and algorithms, as a service to the clinical community.
Archives ; Caregivers ; Decision Making, Computer-Assisted ; Decision Support Systems, Clinical ; Expert Systems ; Humans ; Knowledge Bases ; Peer Review ; Product Packaging ; Software Design ; Students, Nursing ; Tablets ; Uncertainty ; Vaginal Discharge

System integration is inevitable since there are lots of heterogeneous medical information systems in the complicated medical environment. The current medical communication standards often focus on one aspect of the integration and do not provide a general scheme. Based on the analysis of the application of medical integration, the medical integration model HIM (Healthcare integrating model) is put forward, and the dataflow integration framework, function integration framework and interface integration framework in the HIM are designed subsequently. HIM provides a 3-D scheme for the integration of medical information systems, which not only contains the three aspects of integration application vertically, but covers the whole medical area horizontally.
Database Management Systems ; Information Management ; methods ; Medical Informatics Applications ; Models, Theoretical ; Systems Integration

With the advances in the field of oncology, imaging is increasingly used in the follow-up of cancer patients, leading to concerns about over-utilization. Therefore, it has become imperative to make imaging more evidence-based, efficient, cost-effective and equitable. This review explores the strategies and tools to make diagnostic imaging more evidence-based, mainly in the context of follow-up of cancer patients.
Decision Support Systems, Clinical ; Diagnostic Imaging ; Follow-Up Studies ; Humans ; Medical Order Entry Systems

OBJECTIVETo discuss the development module of ontology-based computerized clinical practical guideline, and to supply the technology support for implement of alerm/reminding, data sharing, evidence-based medicine and clinical decision making in the medical information system.

METHODSAnalyse the structure and field ontology of the Guideline Interchange Format (GLIF); expand GLIF based on the Guideline of Cerebrovascular Disease Prevention and Treatment in China and Neurology Disease Ontology.

RESULTSA Chinese computerized guideline of intravenous thrombolytic therapy of acute cerebral infarction is constructed, which included metadata of edition description, list of drug data item, explanation of evidence strength, steps of indications decision, contraindication decision and drug selection.

CONCLUSIONThe computerized clinical practical guideline combined with clinical information system and Electronic Medical Records plays an important role in clinical pathways optimizing and decision making.

OBJECTIVES: To design a cloud computing-based Healthcare Software-as-a-Service (SaaS) Platform (HSP) for delivering healthcare information services with low cost, high clinical value, and high usability. METHODS: We analyzed the architecture requirements of an HSP, including the interface, business services, cloud SaaS, quality attributes, privacy and security, and multi-lingual capacity. For cloud-based SaaS services, we focused on Clinical Decision Service (CDS) content services, basic functional services, and mobile services. Microsoft's Azure cloud computing for Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) was used. RESULTS: The functional and software views of an HSP were designed in a layered architecture. External systems can be interfaced with the HSP using SOAP and REST/JSON. The multi-tenancy model of the HSP was designed as a shared database, with a separate schema for each tenant through a single application, although healthcare data can be physically located on a cloud or in a hospital, depending on regulations. The CDS services were categorized into rule-based services for medications, alert registration services, and knowledge services. CONCLUSIONS: We expect that cloud-based HSPs will allow small and mid-sized hospitals, in addition to large-sized hospitals, to adopt information infrastructures and health information technology with low system operation and maintenance costs.
Commerce ; Computer Systems ; Decision Support Systems, Clinical ; Delivery of Health Care* ; Electronic Health Records ; Information Services ; Medical Informatics ; Medical Order Entry Systems ; Privacy ; Soaps ; Social Control, Formal

A clinical information navigation system based on 3D human body model is designed. The system extracts the key information of diagnosis and treatment of patients by searching the historical medical records, and stores the focus information in a predefined structured patient instance. In addition, the rule mapping is established between the patient instance and the three-dimensional human body model, the focus information is visualized on the three-dimensional human body model, and the trend curve can be drawn according to the change of the focus, meanwhile, the key diagnosis and treatment information and the original report reference function are provided. The system can support the analysis, storage and visualization of various types of reports, improve the efficiency of doctors' retrieval of patient information, and reduce the treatment time.
Diagnosis, Computer-Assisted ; Humans ; Medical Informatics Applications ; Models, Anatomic ; Software

Nowadays the tremendous amount of data has far exceeded our human ability for comprehension, and this has been particularly true for the medical database. However, traditional statistical techniques are no longer adequate for analyzing this vast collection of data. Knowledge discovery in database and data mining play an important role in analyzing data and uncovering important data patterns. This paper briefly presents the concepts of knowledge discovery in database and data mining, then describes the rough set theory, and gives some examples based on rough set.
Artificial Intelligence ; Clinical Medicine ; Data Interpretation, Statistical ; Databases as Topic ; Databases, Factual ; Decision Making, Computer-Assisted ; Diagnosis ; Factor Analysis, Statistical ; Knowledge ; Mathematical Computing ; Medical Records Systems, Computerized