• Title/Summary/Keyword: Healthcare information systems

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Roles of Health-Oriented Personal Factors in Influencing Koreans' Perceptions about Telemedicine: Exploration of Regional Differences

  • Jaehee Cho;Ghee-Young Noh
    • Asia pacific journal of information systems
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    • v.27 no.3
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    • pp.176-190
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    • 2017
  • This study aimed to investigate the roles of three health-oriented personal factors-health technology innovativeness (HTI), health consciousness (HC), and health information orientation (HIO)-in determining Koreans' perceptions about telemedicine. Based on an extended version of the technology acceptance model (TAM), two perceptual components-perceived usefulness (PU) and perceived ease of use (PEOU)-of telemedicine were considered for this investigation. Data from 699 usable surveys were analyzed using path analysis. The results from the path analysis indicated that while HTI and HC had no or limited effects on the PU and PEOU of telemedicine, the effects of HIO on those two perceptual components of telemedicine were statistically significant. Moreover, the results from the path analysis showed that there were significant regional differences in the effects of HTI and HC on the PU and PEOU of telemedicine. In general, these effects were greater among the metropolitan residents than they were among the rural residents.

Design and Development of an EHR Platform Based on Medical Informatics Standards (의료정보 표준에 기반한 EHR 플랫폼의 설계 및 개발)

  • Kim, Hwa-Sun;Cho, Hune;Lee, In-Keun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.4
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    • pp.456-462
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    • 2011
  • As the ARRA enacted recently in the United States, the interest in EHR systems have been increased in the field of medical industry. The passage of the ARRA presents a program that provides incentives to office-based physicians and hospitals adapting the EHR systems to guarantee interoperability with various medical standards. Thanks to the incentive program, a great number of EHR systems have been developed and lots of office-based physicians and hospitals have adapted the EHR systems certified by CCHIT. Keeping pace with the rapid changes in the market of healthcare, some enterprises try to push in to the United States healthcare market based on the experience acquired by developing EHR systems for hospitals in Korea. However, the developed system must be customized because of the different medical environment between Korea and the United States. In this paper, therefore, we design and develop an integrated EHR platform to guarantee the interoperability between different medical information systems based on medical standard technologies. In the developed platform, an integrated system has been composed by integrating various basic techniques such as data transmission standards and its methods, medical standard terminologies and its usage, and knowledge management for medical decision-making support. Moreover, medical data can be processed electronically by adapting an HL7 interface engine and the terminologies for exchanging medical information and the standardization of medical information. We develop SeniCare, an EHR system for supporting ambulatory care of the office-based physicians, based on the platform, and we verify the usability of the platform by confirming whether SeniCare satisfies the criteria of "meaningful use" issued by CMS or not.

Benefits and problems in implementation for integrated medical information system

  • Park Chang-Seo;Kim Kee-Deog;Park Hyok;Jeong Ho-Gul
    • Imaging Science in Dentistry
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    • v.35 no.4
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    • pp.185-190
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    • 2005
  • Purpose: Once the decision has been made to adopt an integrated medical information system (IMIS), there are a number of issues to overcome. Users need to be aware of the impact the change will make on end users and be prepared to address issues that arise before they become problems. The purpose of this study is to investigate the benefits and unexpected problems encountered in the implementation of IMIS and to determine a useful framework for IMIS. Materials and Methods: The Yonsei University Dental Hospital is steadily constructing an IMIS. The vendor's PACS software, Piview STAR, supports transactions between workstations that are approved to integrating the healthcare enterprise (IHE) with security function. It is necessary to develop an excellent framework that is good for the patient, healthcare provider and information system vendors, in an expert, efficient, and cost-effective manner. Results : The problems encountered with IMIS implementation were high initial investments, delay of EMR enforcement, underdevelopment of digital radiographic appliances and software and insufficient educational training for users. Conclusions: The clinical environments of dental IMIS is some different from the medical situation. The best way to overcome these differences is to establish a gold standard of dental IMIS integration, which estimates the cost payback. The IHE and its technical framework are good for the patient, the health care provider and all information systems vendors.

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Enhanced Secure Sensor Association and Key Management in Wireless Body Area Networks

  • Shen, Jian;Tan, Haowen;Moh, Sangman;Chung, Ilyong;Liu, Qi;Sun, Xingming
    • Journal of Communications and Networks
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    • v.17 no.5
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    • pp.453-462
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    • 2015
  • Body area networks (BANs) have emerged as an enabling technique for e-healthcare systems, which can be used to continuously and remotely monitor patients' health. In BANs, the data of a patient's vital body functions and movements can be collected by small wearable or implantable sensors and sent using shortrange wireless communication techniques. Due to the shared wireless medium between the sensors in BANs, it may be possible to have malicious attacks on e-healthcare systems. The security and privacy issues of BANs are becoming more and more important. To provide secure and correct association of a group of sensors with a patient and satisfy the requirements of data confidentiality and integrity in BANs, we propose a novel enhanced secure sensor association and key management protocol based on elliptic curve cryptography and hash chains. The authentication procedure and group key generation are very simple and efficient. Therefore, our protocol can be easily implemented in the power and resource constrained sensor nodes in BANs. From a comparison of results, furthermore, we can conclude that the proposed protocol dramatically reduces the computation and communication cost for the authentication and key derivation compared with previous protocols. We believe that our protocol is attractive in the application of BANs.

Analysis of Adverse Drug Reaction Reports using Text Mining (텍스트마이닝을 이용한 약물유해반응 보고자료 분석)

  • Kim, Hyon Hee;Rhew, Kiyon
    • Korean Journal of Clinical Pharmacy
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    • v.27 no.4
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    • pp.221-227
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    • 2017
  • Background: As personalized healthcare industry has attracted much attention, big data analysis of healthcare data is essential. Lots of healthcare data such as product labeling, biomedical literature and social media data are unstructured, extracting meaningful information from the unstructured text data are becoming important. In particular, text mining for adverse drug reactions (ADRs) reports is able to provide signal information to predict and detect adverse drug reactions. There has been no study on text analysis of expert opinion on Korea Adverse Event Reporting System (KAERS) databases in Korea. Methods: Expert opinion text of KAERS database provided by Korea Institute of Drug Safety & Risk Management (KIDS-KD) are analyzed. To understand the whole text, word frequency analysis are performed, and to look for important keywords from the text TF-IDF weight analysis are performed. Also, related keywords with the important keywords are presented by calculating correlation coefficient. Results: Among total 90,522 reports, 120 insulin ADR report and 858 tramadol ADR report were analyzed. The ADRs such as dizziness, headache, vomiting, dyspepsia, and shock were ranked in order in the insulin data, while the ADR symptoms such as vomiting, 어지러움, dizziness, dyspepsia and constipation were ranked in order in the tramadol data as the most frequently used keywords. Conclusion: Using text mining of the expert opinion in KIDS-KD, frequently mentioned ADRs and medications are easily recovered. Text mining in ADRs research is able to play an important role in detecting signal information and prediction of ADRs.

Improvement of Wireless Connectivity and Efficiency in E-Healthcare Service System Using a Proxy in Body Area Device

  • Kim, Sang Kon;Kim, Tae Kon;Koh, Jinhwan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.3
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    • pp.991-1013
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    • 2020
  • E-health services have provided interoperability between personal health devices in personal area network, based the ISO/IEEE 11073 standard. In the healthcare system, the manager handles most agents concurrently through wireless communication. However, due to the distance limitation and the increased number of agents, it may be difficult to provide continuous connectivity. Recently, body area devices have been equipped with various applicable agents, which can even handle agents on behalf of the manager. A BAD may act as an intermediary device to increase system efficiency and performance. In this study, a device called "proxy", which can be installed as software on BAD devices, is proposed. The data measured by an agent can be sent to the proxy first, and subsequently be sent to the manager again. Agents and the manager are not aware of the proxy existence and work normally without the proxy. Furthermore, a new smart proxy and modified manager are proposed. The smart proxy acts as one agent handling measurement data from several agents, which can transmit a significant amount of data at once. The proxy and smart proxy maintain compatibility with existing devices that conform to the 20601 standard. The proposed schemes are verified and the complexities of devices are analyzed. The analysis shows no significant difference among the proxy, smart proxy, and manager. Simulations exhibit that the proposed schemes can improve the system performance.

The Development of a Program Outcomes Assessment System for Utilization of Information and Communication Technology and the Latest Healthcare Technology in Nursing Education (정보통신과 최신 보건의료기술 활용에 관한 간호교육 프로그램 학습성과 평가체계 개발)

  • Jeong-Mi Jeong;Mi-Ra Nam
    • Journal of the Health Care and Life Science
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    • v.11 no.2
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    • pp.289-302
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    • 2023
  • This study is a methodological research aimed at developing a program outcome assessment system for 'Utilization of Information and Communication Technology and the Latest Healthcare Technology' as required for nursing education accreditation. To ensure the theoretical validity of the assessment system, Kim's evaluation model (2009) and Zimmaro's rubric development stages (2004) were applied. The program outcome assessment system for information and communication and healthcare technology was developed, encompassing performance criteria, performance level, achievement goals, curriculum, evaluation methods, criteria, and the Close-the-Loop. The resulting assessment system is anticipated to be effectively utilized in nursing education, demonstrating broad applicability. This study is significant in providing specific directions for the development of program outcome assessment systems in undergraduate nursing programs. Further research is expected to evaluate and analyze program outcomes based on the applied assessment system.

Balanced Clustering based on Mobile Agents for the Ubiquitous Healthcare Systems (유비쿼터스 헬스케어 시스템에서 이동에이전트 기반 균형화 클러스터링)

  • Mateo, Romeo Mark A.;Lee, Jae-Wan;Lee, Mal-Rey
    • Journal of Internet Computing and Services
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    • v.11 no.3
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    • pp.65-74
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    • 2010
  • In the ubiquitous healthcare, automated diagnosis is commonly achieved by an agent system to provide intelligent decision support and fast diagnosis result. Mobile agent technology is used for efficient load distribution by migrating processes to a less loaded node which is considered in our design of a ubiquitous healthcare system. This paper presents a framework for ubiquitous healthcare technologies which mainly focuses on mobile agents that serve the on-demand processes of an automated diagnosis support system. Considering the efficient utilization of resources, a balanced clustering for the load distribution of processes within nodes is proposed. The proposed algorithm selects overloaded nodes to migrate processes to near nodes until the load variance of the system is minimized. Our proposed balanced clustering efficiently distributes processes to all nodes considering message overheads by performing the migration to the near nodes.

The Mobile Health-Care Garment System for Measurement of Cardiorespiratory Signal (ECG와 호흡 측정이 가능한 모바일 헬스케어 의류 시스템)

  • Kim, Jeong-Do;Kim, Kap-Jin;Chung, Gi-Su;Lee, Jung-Hwan;Ahn, Jin-Ho;Lee, Sang-Goog
    • The KIPS Transactions:PartA
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    • v.17A no.3
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    • pp.145-152
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    • 2010
  • Most wearable system for mobile healthcare applications consists of three parts. The first part is the sensing elements based on bio-signal, the second is the circuit module for control, data acquisition and wireless communication and control and the third is garment with a built-in electrodes and circuits. The existing healthcare garment systems have to find a solution to signal-wire and uncomfortable and inappropriate electrode to long-term attachment. Even if the wireless communication is used for healthcare garment system, the interface between sensors and circuits have to use wires. To solve these problems, this paper use electrode using PEDOT coated PVDF nanoweb for ECG signal and PVDF film sensor for respiratory signal. And, we constructed garment network using digital yarn of 10um, and transmitted ECG and respiratory signal to mobile phone through the integrated circuit with bluetooth called station To evaluate feasibility of the proposed mobile healthcare garment system, we experimented with transmission and measurement of ECG and respiratory signal using nanoweb electrode and digital yarn. We got a successful result without noise and attenuation.

Artificial Intelligence Technology Trends and IBM Watson References in the Medical Field (인공지능 왓슨 기술과 보건의료의 적용)

  • Lee, Kang Yoon;Kim, Junhewk
    • Korean Medical Education Review
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    • v.18 no.2
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    • pp.51-57
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    • 2016
  • This literature review explores artificial intelligence (AI) technology trends and IBM Watson health and medical references. This study explains how healthcare will be changed by the evolution of AI technology, and also summarizes key technologies in AI, specifically the technology of IBM Watson. We look at this issue from the perspective of 'information overload,' in that medical literature doubles every three years, with approximately 700,000 new scientific articles being published every year, in addition to the explosion of patient data. Estimates are also forecasting a shortage of oncologists, with the demand expected to grow by 42%. Due to this projected shortage, physicians won't likely be able to explore the best treatment options for patients in clinical trials. This issue can be addressed by the AI Watson motivation to solve healthcare industry issues. In addition, the Watson Oncology solution is reviewed from the end user interface point of view. This study also investigates global company platform business to explain how AI and machine learning technology are expanding in the market with use cases. It emphasizes ecosystem partner business models that can support startup and venture businesses including healthcare models. Finally, we identify a need for healthcare company partnerships to be reviewed from the aspect of solution transformation. AI and Watson will change a lot in the healthcare business. This study addresses what we need to prepare for AI, Cognitive Era those are understanding of AI innovation, Cloud Platform business, the importance of data sets, and needs for further enhancement in our knowledge base.