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No abstract available.

No abstract available.

OBJECTIVES: The objectives of this research were to develop and evaluate a cell phone application based on the standard protocol for personal health devices and the standard information model for personal health records to support effective blood glucose management and standardized service for patients with diabetes. METHODS: An application was developed for Android 4.0.3. In addition, an IEEE 11073 Manager, Medical Device Encoding Rule, and Bluetooth Health Device Profile Connector were developed for standardized health communication with a glucometer, and a Continuity of Care Document (CCD) Composer and CCD Parser were developed for CCD document exchange. The developed application was evaluated by five healthcare professionals and 87 users through a questionnaire comprising the following variables: usage intention, effort expectancy, social influence, facilitating condition, perceived risk, and voluntariness. RESULTS: As a result of the evaluation of usability, it was confirmed that the developed application is useful for blood glucose self-monitoring by diabetic patients. In particular, the healthcare professionals stated their own views that the application is useful to observe the trends in blood glucose change through the automatic function which records a blood glucose level measured using Bluetooth function, and the function which checks accumulated records of blood glucose levels. Also, a result of the evaluation of usage intention was 3.52 +/- 0.42 out of 5 points. CONCLUSIONS: The application developed by our research team was confirmed by the verification of healthcare professionals that accurate feedback can be provided to healthcare professionals during the management of diabetic patients or education for glucose management.
Blood Glucose ; Blood Glucose Self-Monitoring* ; Cellular Phone* ; Continuity of Patient Care ; Delivery of Health Care ; Education ; Glucose ; Health Communication ; Health Records, Personal ; Humans ; Intention ; Surveys and Questionnaires

OBJECTIVES: The Health Level Seven Interface Engine (HL7 IE), developed by Kyungpook National University, has been employed in health information systems, however users without a background in programming have reported difficulties in using it. Therefore, we developed a graphical user interface (GUI) engine to make the use of the HL7 IE more convenient. METHODS: The GUI engine was directly connected with the HL7 IE to handle the HL7 version 2.x messages. Furthermore, the information exchange rules (called the mapping data), represented by a conceptual graph in the GUI engine, were transformed into program objects that were made available to the HL7 IE; the mapping data were stored as binary files for reuse. The usefulness of the GUI engine was examined through information exchange tests between an HL7 version 2.x message and a health information database system. RESULTS: Users could easily create HL7 version 2.x messages by creating a conceptual graph through the GUI engine without requiring assistance from programmers. In addition, time could be saved when creating new information exchange rules by reusing the stored mapping data. CONCLUSIONS: The GUI engine was not able to incorporate information types (e.g., extensible markup language, XML) other than the HL7 version 2.x messages and the database, because it was designed exclusively for the HL7 IE protocol. However, in future work, by including additional parsers to manage XML-based information such as Continuity of Care Documents (CCD) and Continuity of Care Records (CCR), we plan to ensure that the GUI engine will be more widely accessible for the health field.
Antineoplastic Combined Chemotherapy Protocols ; Computer Graphics ; Continuity of Patient Care ; Dietary Sucrose ; Etoposide ; Health Information Systems ; Health Level Seven ; Ifosfamide ; Medical Informatics ; Software Design

OBJECTIVES: This study developed an integrated database for 15 regional biobanks that provides large quantities of high-quality bio-data to researchers to be used for the prevention of disease, for the development of personalized medicines, and in genetics studies. METHODS: We collected raw data, managed independently by 15 regional biobanks, for database modeling and analyzed and defined the metadata of the items. We also built a three-step (high, middle, and low) classification system for classifying the item concepts based on the metadata. To generate clear meanings of the items, clinical items were defined using the Systematized Nomenclature of Medicine Clinical Terms, and specimen items were defined using the Logical Observation Identifiers Names and Codes. To optimize database performance, we set up a multi-column index based on the classification system and the international standard code. RESULTS: As a result of subdividing 7,197,252 raw data items collected, we refined the metadata into 1,796 clinical items and 1,792 specimen items. The classification system consists of 15 high, 163 middle, and 3,588 low class items. International standard codes were linked to 69.9% of the clinical items and 71.7% of the specimen items. The database consists of 18 tables based on a table from MySQL Server 5.6. As a result of the performance evaluation, the multi-column index shortened query time by as much as nine times. CONCLUSIONS: The database developed was based on an international standard terminology system, providing an infrastructure that can integrate the 7,197,252 raw data items managed by the 15 regional biobanks. In particular, it resolved the inevitable interoperability issues in the exchange of information among the biobanks, and provided a solution to the synonym problem, which arises when the same concept is expressed in a variety of ways.
Biological Specimen Banks ; Classification ; Data Collection ; Genetics ; Korea* ; Logical Observation Identifiers Names and Codes ; Precision Medicine ; Systematized Nomenclature of Medicine

OBJECTIVES: This study developed an integrated database for 15 regional biobanks that provides large quantities of high-quality bio-data to researchers to be used for the prevention of disease, for the development of personalized medicines, and in genetics studies. METHODS: We collected raw data, managed independently by 15 regional biobanks, for database modeling and analyzed and defined the metadata of the items. We also built a three-step (high, middle, and low) classification system for classifying the item concepts based on the metadata. To generate clear meanings of the items, clinical items were defined using the Systematized Nomenclature of Medicine Clinical Terms, and specimen items were defined using the Logical Observation Identifiers Names and Codes. To optimize database performance, we set up a multi-column index based on the classification system and the international standard code. RESULTS: As a result of subdividing 7,197,252 raw data items collected, we refined the metadata into 1,796 clinical items and 1,792 specimen items. The classification system consists of 15 high, 163 middle, and 3,588 low class items. International standard codes were linked to 69.9% of the clinical items and 71.7% of the specimen items. The database consists of 18 tables based on a table from MySQL Server 5.6. As a result of the performance evaluation, the multi-column index shortened query time by as much as nine times. CONCLUSIONS: The database developed was based on an international standard terminology system, providing an infrastructure that can integrate the 7,197,252 raw data items managed by the 15 regional biobanks. In particular, it resolved the inevitable interoperability issues in the exchange of information among the biobanks, and provided a solution to the synonym problem, which arises when the same concept is expressed in a variety of ways.
Biological Specimen Banks ; Classification ; Data Collection ; Genetics ; Korea* ; Logical Observation Identifiers Names and Codes ; Precision Medicine ; Systematized Nomenclature of Medicine

OBJECTIVES: We design and develop an electronic claim system based on an integrated electronic health record (EHR) platform. This system is designed to be used for ambulatory care by office-based physicians in the United States. This is achieved by integrating various medical standard technologies for interoperability between heterogeneous information systems. METHODS: The developed system serves as a simple clinical data repository, it automatically fills out the Centers for Medicare and Medicaid Services (CMS)-1500 form based on information regarding the patients and physicians' clinical activities. It supports electronic insurance claims by creating reimbursement charges. It also contains an HL7 interface engine to exchange clinical messages between heterogeneous devices. RESULTS: The system partially prevents physician malpractice by suggesting proper treatments according to patient diagnoses and supports physicians by easily preparing documents for reimbursement and submitting claim documents to insurance organizations electronically, without additional effort by the user. To show the usability of the developed system, we performed an experiment that compares the time spent filling out the CMS-1500 form directly and time required create electronic claim data using the developed system. From the experimental results, we conclude that the system could save considerable time for physicians in making claim documents. CONCLUSIONS: The developed system might be particularly useful for those who need a reimbursement-specialized EHR system, even though the proposed system does not completely satisfy all criteria requested by the CMS and Office of the National Coordinator for Health Information Technology (ONC). This is because the criteria are not sufficient but necessary condition for the implementation of EHR systems. The system will be upgraded continuously to implement the criteria and to offer more stable and transparent transmission of electronic claim data.
Ambulatory Care ; Centers for Medicare and Medicaid Services (U.S.) ; Electronic Health Records ; Electronics ; Electrons ; Fees and Charges ; Health Level Seven ; Humans ; Insurance ; Malpractice ; Medical Informatics ; Relative Value Scales ; United States

OBJECTIVE: We have developed a prototype Personal Health Record (PHR) system that can replace traditional paper-based personal health diary with structured clinical details for healthcare. Because numerous disparate electronic versions of medical record systems are found unable to share medical information among hospitals, pharmacies and clinicians, the proposed PHR system can be used to facilitate patient care. METHODS: The PHR system has been implemented on a flash memory (USB drive) that is found to be compact, light weight, cost-effective and sufficient enough to handle a large amount of clinical data. International communication standard HL7 has recommended Continuity of Care Document (CCD) that can provide complete and accurate summary of an individual health and medical history. Care documents stored in USB can also support alerts, reminders, self-management, and stakeholder communication in a standardized manner. RESULTS: The proposed PHR system consists of modules that help collect distributed patient information from multiple sources to generate individual care document (CCD) as personal health record. The preliminary experiment has demonstrated an acceptable performance. That is, the PHR is found to integrate and share various clinical data such as medications, procedures, patient demographics from admission system, test results from LIS, DICOM images from PACS, bio.signals from patient monitors. Especially, the PHR system was tested by connecting to standardized monitoring device (Mediana device) to collect ECG data. The PHR system had received 3410 HL7 messages for 1 hour, then generate CCD document.
Continuity of Patient Care ; Delivery of Health Care ; Demography ; Electrocardiography ; Electronics ; Electrons ; Health Records, Personal ; Humans ; Light ; Medical Records ; Memory ; Patient Care ; Pharmacies ; Self Care

OBJECTIVE: This study proposes a hospital information system through the design and actualization of the Health Level 7 Development Framework (HDF) as a medical standard data model to sharing medical records between different hospital systems. The Health Level 7 Development Framework is a technique designed to capture domain expertise in a manner that it to be structured to create and validate models, which are subsequently translated into messages. METHODS: The process used Health Level 7 Development Framework methodology with Health Level 7 tools. RESULTS: We drew diagrams for each steps of the Health Level 7 Development Framework and an Extensible Markup Language (XML) schema for chemotherapy order system. CONCLUSION: This study applied Health Level 7 Development Framework methodology to practice. It is a good reference for the hospital information system (HIS) and enables information sharing among healthcare institutions.
Delivery of Health Care ; Drug Therapy* ; Health Level Seven ; Hospital Information Systems ; Information Dissemination ; Medical Records