Hune Cho

Evaluation of Adaption and Intent to Use Smartphone Application for Nursing Process of Nursing Student

Abstract This study examined the intention to use a nursing process application on a smart phone by nursing students who undertake clinical practices, and evaluated the application effect of this program. As research subjects, the study assessed juniors in the college of nursing in Daegu, who had undertaken field training in adult nursing in surgical wards from September 2012 to September 2013. The results showed that the intention to use nursing process application has a significant relationship with effort expectancy, social influence, and self-efficacy. In addition, the nursing process application applied to the research subjects has the largest list of diagnoses, interventions and outcomes regarding acute pain. In addition, the satisfaction with the use of the program was 4.35 points. Through this study, the application of the nursing process presents more opportunities for its use and training in the clinical practice field, and measures that can be applied easily regarding its utilization should be provided.

The Development of a Graphical User Interface Engine for the Convenient Use of the HL7 Version 2.x Interface Engine

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.

Development of Cell Phone Application for Blood Glucose Self-Monitoring Based on ISO/IEEE 11073 and HL7 CCD

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.

Development of an Ubiquitous Healthcare System based on Health Information Exchange Standards

As changed the clinical environment, the interest on u-Healthcare service and systems has been increased. The ubiquitous healthcare(u-Healthcare) systems are constructed at the integrated environment that consists of various devices and systems basically such as personal health devices(PHDs) measuring body signals, information aggregators gathering the data transmitted from PHDs through wireless technology, and health information systems storing and managing personal health information transmitted from the information aggregators. International standards such as IEEE 11073 and HL7 have been specified for the interoperability of PHDs and health information systems, but the research on u-Healthcare systems that were developed and applied in the real clinical environment by adopting the standards was rarely conducted. Therefore, we developed an u-Healthcare system which can manage personal health information, such as blood glucose, blood pressure, and body composition, based on health information exchange standards. Moreover, we verified the stability of the developed system through clinical trial in patients with endocrine disease at the Kyungpook National University Hospital, and listed problems occurred during clinical trial and found their solutions.

Customized ontology-based intelligent medical terminology tool

We present customized ontology-based intelligent medical terminology tool. Growth of ontological based medical information tools in IT technology obviously is going to effect the future of medical information systems. In this concern many groups and organizations have processed ontological based tools for healthcare information system however necessitate of providing more specific information in medical area is a requirement that have not been reduced. The reason of this requirement is because of none satisfaction of medical staffs with the current information technology. Ontological based relationships among medical terminologies to process queries are not a new effort but it could be more tangible for IT professionals to provide tools with more advanced technologies that can ease the work of medical staffs. In this paper we introduce a new tool that can automate a portion of ontology creation, deletion, test and reasoning.

Development of a Management Tool of CCD/CCR-centric Standard Clinical Document

XML-based standards such as CCD(Continuity of Care Document) and CCR(Continuity of Care Record) have been developed for representation, integration, and exchange of personal health record(PHR), and various of researches on PHR based on the standards have been conducted. These researches have developed and used CCD/CCR parsers each with their own different ways, but it can be hard to develop and update the parsers because of the structural complexity of the standards. Moreover, inter-exchange between CCD and CCR documents in the PHR-related medical information systems should be possible for the interoperability of the systems. Therefore, we proposed a designing method to develop the tools treating XML-based CCD/CCR documents. And we implemented CCD/CCR parser based on the proposed method and developed a converter from CCD to CCR using the parsers. To confirm the usefulness of the developed tool, we performed an experiment of creating CCD documents using the personal health data gathered from chronically ill patients in Kyungpook National University Hospital and of converting from the CCD documents to CCR documents.

Design of Activation Functions for Inference of Fuzzy Cognitive Maps: Application to Clinical Decision Making in Diagnosis of Pulmonary Infection

Objectives Fuzzy cognitive maps (FCMs) representing causal knowledge of relationships between medical concepts have been used as prediction tools for clinical decision making. Activation functions used for inferences of FCMs are very important factors in helping physicians make correct decision. Therefore, in order to increase the visibility of inference results, we propose a method for designing certain types of activation functions by considering the characteristics of FCMs. Methods The activation functions, such as the sinusoidal-type function and linear function, are designed by calculating the domain range of the functions to be reached during the inference process of FCMs. Moreover, the designed activation functions were applied to the decision making process with the inference of an FCM model representing the causal knowledge of pulmonary infections. Results Even though sinusoidal-type functions oscillate and linear functions monotonously increase within the entire range of the domain, the designed activation functions make the inference stable because the proposed method notices where the function is used in the inference. And, the designed functions provide more visible numeric results than do other functions. Conclusions Comparing inference results derived using activation functions designed with the proposed method and results derived using activation functions designed with the existing method, we confirmed that the proposed method could be more appropriately used for designing activation functions for the inference process of an FCM for clinical decision making.

Design and Development of a System for Mapping of Medical Standard Terminologies

Abstract Various standard terminologies in medical field are composed in dividually to different structure. Therefore, information on crosswalking between the termino logies is needed to combine and use the terminologies. Lots of mapping tools have been developed and used to create the information. However, since those tools deal with specific terminologies, the information is restrictly created. To overcome this problem, some tools have been developed, which perform mapping tasks by com-posing various terminologies. However, the tools also have diff iculty of composing automatically the terminologies because the terminologies have different structures. Therefore, in this paper, we propose a method for composing and using the terminologies in the developed mapping system with keeping the original structure of the terminologies. In the proposed method, additional terminologies could be added on the mapping system and used by making metadata involving in-formation on location and structure of the terminologies. And t he mapping system could cope flexibly with the changes of the structure or context of the terminologies. Moreover, var ious types of mapping informat ion could be defined and cre-ated in the system because mapping data are constructed as trip lets in ontology. Therefore, the mapping data can be transformed and distributed in different formats such as OWL, R DF, and Excel. Finally, we confirmed the usefulness of the mapping system based on the proposed method through the experiments about creating mapping data.Key Words : Standard medical terminology, Mapping system, Ontology, SNOMED-CT, ICD, NANDA, NIC, NOC

Study on OWL-based Database Built for the Efficient Operation of Human Resources Bank

The purpose of this study was to build Ontology based database for efficient operation and interoperability of the human resource bank. The team 7,197,252 of human resources information was collected through previous studies and classifies the 1,796 clinical item through high quality work. For a clear expression of clinical terminology mapping and item of international standard terminology Received (April 15, 2015), Review Request(April 16, 2015), Review Result(May 01, 2015) Accepted(May 21, 2015), Published(June 30, 2015) 700-842 Dept. of Medical Informatics, Kyungpook National Univ., Gukchaebosang-ro, Jung-gu, Deagu, Korea email: yth2320@naver.com 712-715 Dept. of Faculty of Medical Industry Convergence, Daegu Haany Univ., Yugok-dong, Gyeongsan-si, Gyeongsangbuk-do, Korea email: daspula@daum.net (Corresponding Author) 700-842 Dept. of Medical Informatics, Kyungpook National Univ., Gukchaebosang-ro, Jung-gu, Deagu, Korea email: medinfo@knu.ac.kr Study on OWL-based database built for the efficient operation of human resources bank Copyright c 2015 HSST 56 SNOMED-CT it was found to have 826 different synonyms of the term and value types, the data type for the international standard code. In this study, we selected a preferred term of 76 to minimize the redundancy due to the synonyms. Also define the relationship between synonyms and preferred terms using the OWL for interoperability between human resources banks and were stored in XML and databases. OWL-based database built in this study has a common terminology, it can be interchangeably without complex mapping process between the human resource banks.

Development of Compatible Health Level 7 Parser

The previous HL7 interface should be developed as a separate package or conversion module for each version to process HL7 messages from different versions. This study designed and developed an HL7 parser compatible among different versions based on the requirements of compatibility defined in HL7 V2.5. According to the structure of the parser, the inheritance concept in object-oriented programming was adopted so that the class object of the HL7 message from the lower version could be inherited to the class object of the upper version. Therefore, every version’s HL7 messages could be processed using only the upper class’ object regardless of the version. To evaluate the compatibility of the developed parser, 700 data sets about inpatients with rheumatoid arthritis were used. The 700 cases underwent the compatibility test successfully. In the near future, further research on the Inter-compatibility HL7 parser is planned.