1.The Personal Health Record.
Healthcare Informatics Research 2011;17(2):139-142
No abstract available.
Health Records, Personal
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Humans
2.CCR+: Metadata Based Extended Personal Health Record Data Model Interoperable with the ASTM CCR Standard.
Yu Rang PARK ; Young Jo YOON ; Tae Hun JANG ; Hwa Jeong SEO ; Ju Han KIM
Healthcare Informatics Research 2014;20(1):39-44
OBJECTIVES: Extension of the standard model while retaining compliance with it is a challenging issue because there is currently no method for semantically or syntactically verifying an extended data model. A metadata-based extended model, named CCR+, was designed and implemented to achieve interoperability between standard and extended models. METHODS: Furthermore, a multilayered validation method was devised to validate the standard and extended models. The American Society for Testing and Materials (ASTM) Community Care Record (CCR) standard was selected to evaluate the CCR+ model; two CCR and one CCR+ XML files were evaluated. RESULTS: In total, 188 metadata were extracted from the ASTM CCR standard; these metadata are semantically interconnected and registered in the metadata registry. An extended-data-model-specific validation file was generated from these metadata. This file can be used in a smartphone application (Health Avatar CCR+) as a part of a multilayered validation. The new CCR+ model was successfully evaluated via a patient-centric exchange scenario involving multiple hospitals, with the results supporting both syntactic and semantic interoperability between the standard CCR and extended, CCR+, model. CONCLUSIONS: A feasible method for delivering an extended model that complies with the standard model is presented herein. There is a great need to extend static standard models such as the ASTM CCR in various domains: the methods presented here represent an important reference for achieving interoperability between standard and extended models.
Compliance
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Health Records, Personal*
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Humans
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Methods
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Semantics
3.High-quality Health Information Provision for Stroke Patients.
Hong-Sheng DU ; Jing-Jian MA ; Mu LI
Chinese Medical Journal 2016;129(17):2115-2122
OBJECTIVEHigh-quality information provision can allow stroke patients to effectively participate in healthcare decision-making, better manage the stroke, and make a good recovery. In this study, we reviewed information needs of stroke patients, methods for providing information to patients, and considerations needed by the information providers.
DATA SOURCESThe literature concerning or including information provision for patients with stroke in English was collected from PubMed published from 1990 to 2015.
STUDY SELECTIONWe included all the relevant articles on information provision for stroke patients in English, with no limitation of study design.
RESULTSStroke is a major public health concern worldwide. High-quality and effective health information provision plays an essential role in helping patients to actively take part in decision-making and healthcare, and empowering them to effectively self-manage their long-standing chronic conditions. Different methods for providing information to patients have their relative merits and suitability, and as a result, the effective strategies taken by health professionals may include providing high-quality information, meeting patients' individual needs, using suitable methods in providing information, and maintaining active involvement of patients.
CONCLUSIONSIt is suggested that to enable stroke patients to access high-quality health information, greater efforts need to be made to ensure patients to receive accurate and current evidence-based information which meets their individual needs. Health professionals should use suitable information delivery methods, and actively involve stroke patients in information provision.
Health Information Exchange ; Health Records, Personal ; Humans ; Stroke
4.A Future of Medical Information System: Establishment of Hospital-oriented Personal Health Record.
Soo Yong SHIN ; Chun Kee CHUNG
Journal of the Korean Medical Association 2009;52(11):1115-1121
Personal Health Record (PHR) has recently been drawing attention due to the an ever-increasing interests of ubiquitous healthcare. Diverse approaches have been proposed to implement PHR at home and abroad. In this review, we propose a hospital-oriented PHR system for the future direction of medical information system. If a hospital-oriented PHR system is implemented, hospitals can increase the quality of medical care by providing personalized medical services to the individual patients and the reliability of health records in PHR can be significantly improved. For this purpose, we first investigate the definition of PHR and then address diverse issues to be tackled prior to implementation of the hospital-oriented PHR system.
Delivery of Health Care
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Health Records, Personal
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Humans
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Information Systems
5.Semantic network technology in computer-based patient records.
Chinese Journal of Medical Instrumentation 2008;32(2):83-85
Based on pathological lung cancer cases and semantic network technology, and in combination with UMLS, the article discusses the applications of semantic network technology in electron medical records, and its actualization of pathological case semantic network expression with sequence characteristics.
Health Records, Personal
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Semantics
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Unified Medical Language System
6.History and Trends of "Personal Health Record" Research in PubMed.
Jeongeun KIM ; Hongju JUNG ; David W. BATES
Healthcare Informatics Research 2011;17(1):3-17
OBJECTIVES: The purpose of this study was to review history and trends of personal health record research in PubMed and to provide accurate understanding and categorical analysis of expert opinions. METHODS: For the search strategy, PubMed was queried for 'personal health record, personal record, and PHR' in the title and abstract fields. Those containing different definitions of the word were removed by one-by-one analysis from the results, 695 articles. In the end, total of 229 articles were analyzed in this research. RESULTS: The results show that the changes in terms over the years and the shift to patient centeredness and mixed usage. And we identified history and trend of PHR research in some category that the number of publications by year, topic, methodologies and target diseases. Also from analysis of MeSH terms, we can show the focal interest in regards the PHR boundaries and related subjects. CONCLUSIONS: For PHRs to be efficiently used by general public, initial understanding of the history and trends of PHR research may be helpful. Simultaneously, accurate understanding and categorical analysis of expert opinions that can lead to the development and growth of PHRs will be valuable to their adoption and expansion.
Adoption
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Electronic Health Records
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Expert Testimony
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Growth and Development
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Health Records, Personal
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Humans
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Medical Subject Headings
7.Establishing a Personal Health Record System in an Academic Hospital: One Year's Experience.
Hyun Jung RO ; Se Young JUNG ; Keehyuck LEE ; Hee HWANG ; Sooyoung YOO ; Hyunyoung BAEK ; Kiheon LEE ; Woo Kyung BAE ; Jong Soo HAN ; Sarah KIM ; Hwayeon PARK
Korean Journal of Family Medicine 2015;36(3):121-127
BACKGROUND: Personal health records (PHRs) are web based tools that help people to access and manage their personalized medical information. Although needs for PHR are increasing, current serviced PHRs are unsatisfactory and researches on them remain limited. The purpose of this study is to show the process of developing Seoul National University Bundang Hospital (SNUBH)'s own PHR system and to analyze consumer's use pattern after providing PHR service. METHODS: Task force team was organized to decide service range and set the program. They made the system available on both mobile application and internet web page. The study enrolled PHR consumers who assessed PHR system between June 2013 and June 2014. We analyzed the total number of users on a monthly basis and the using pattern according to each component. RESULTS: The PHR service named Health4U has been provided from June 2013. Every patient who visited SNUBH could register Health4U service and view their medical data. The PHR user has been increasing, especially they tend to approach via one way of either web page or mobile application. The most frequently used service is to check laboratory test result. CONCLUSION: For paradigm shift toward patient-centered care, there is a growing interest in PHR. This study about experience of establishing and servicing the Health4U would contribute to development of interconnected PHR.
Advisory Committees
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Electronic Health Records
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Health Records, Personal*
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Humans
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Internet
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Mobile Applications
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Patient-Centered Care
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Seoul
8.A De-identification Method for Bilingual Clinical Texts of Various Note Types.
Soo Yong SHIN ; Yu Rang PARK ; Yongdon SHIN ; Hyo Joung CHOI ; Jihyun PARK ; Yongman LYU ; Moo Song LEE ; Chang Min CHOI ; Woo Sung KIM ; Jae Ho LEE
Journal of Korean Medical Science 2015;30(1):7-15
De-identification of personal health information is essential in order not to require written patient informed consent. Previous de-identification methods were proposed using natural language processing technology in order to remove the identifiers in clinical narrative text, although these methods only focused on narrative text written in English. In this study, we propose a regular expression-based de-identification method used to address bilingual clinical records written in Korean and English. To develop and validate regular expression rules, we obtained training and validation datasets composed of 6,039 clinical notes of 20 types and 5,000 notes of 33 types, respectively. Fifteen regular expression rules were constructed using the development dataset and those rules achieved 99.87% precision and 96.25% recall for the validation dataset. Our de-identification method successfully removed the identifiers in diverse types of bilingual clinical narrative texts. This method will thus assist physicians to more easily perform retrospective research.
Algorithms
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*Data Anonymization
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*Electronic Health Records
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*Health Records, Personal
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Humans
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Multilingualism
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Natural Language Processing
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Research Design
9.Blockchain Revolution in Healthcare : The Era of Patient-centered Dental Information System
International Journal of Oral Biology 2018;43(1):1-3
Blockchain is at the center of attention recently and it is expected to have a huge impact on healthcare industry including dentistry as well. Blockchain is a fundamental technology behind Bitcoin and itis all about decentralization, security, reliability, and transparency. These characteristics of the technology empower it to disrupt the current healthcare industry in innumerable practices such as supply chain management in pharmaceuticals to prevent the counterfeited medicine, clinical trials to guarantee transparency, healthcare information exchanges or personal health record systems to ensure data integrity and interoperability, etc. It will surely revolutionize the way the current healthcare system works; from provider-oriented to patient-centered. Hence, it is time to seriously consider how we could be a part of this blockchain revolution in dentistry.
Clinical Medicine
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Delivery of Health Care
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Dentistry
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Health Care Sector
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Health Records, Personal
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Information Systems
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Politics
10.The Consumers' Perceptions and Requirements for Personal Health Records in Korea.
Sun Young KIM ; Hye Ryung KIM ; Jae Bong BAE ; Yoon KIM
Journal of Korean Society of Medical Informatics 2009;15(3):273-284
OBJECTIVE: The aim of the study was to identify factors influencing the willingness of healthcare consumers to use personal health records (PHR) and to investigate the requirements for PHR services. METHODS: A face-to-face interview was conducted with 400 healthcare consumers from the 3rd-18th of July 2008 using a structured questionnaire. To identity factors affecting the willingness to use PHR and to pay for PHR services, logistic regression analysis was performed. To investigate the requirements for PHR services according to the willingness of the consumers to use PHR and to pay for PHR services, t-test analysis was conducted. RESULTS: Of the 400 healthcare consumers, 239 (59.8%) were willing to use PHR and 111 (27.8%) were willing to pay for PHR services. The willingness to use PHR was higher in the elderly, those with a disease, and those with experience to use health information on the Internet, and the willingness to pay for PHR services was higher in those with a relatively high income (p<0.05). The willingness to use PHR was approximately 13.5 (95% CI=1.43-126.55) and 3 times (95% CI=1.18-8.74) higher in those with average monthly household incomes >6,000,000 won and 4,500,000-6,000,000 won, respectively, than in those earning <1,500,000 won, and approximately 1.96 times (95% CI=1.18-3.27) higher in those with experience using health information on the Internet than in those without experience. The willingness to pay for PHR services was approximately 5.9 times (95% CI=1.84-19.06) higher in those with an income of 4,500,000-6,000,000 won than in those with an income <1,500,000 won (p<0.05). Demands for test results, medication history, family history, problem list, genetic information, clinical trial information, and social history were significantly higher in those with a willingness to use PHR and those with a willingness to pay for PHR services than in those without willingness to use PHR and those without a willingness to pay for PHR services (p<0.05). Compared to those without a willingness to pay for PHR services, those with a willingness to pay for PHR services showed a significantly higher demand for all the functions (p<0.01). CONCLUSION: The results of this study suggest that healthcare consumers potentially have a considerable demand for PHR services, and although it is not recognized and used widely yet, PHR is an essential service. In order to enhance people's awareness of PHR and to promote people to use PHR services, we need efforts and initiatives to execute campaigns and education for people to ease access to the service, and to reduce the gap in service utilization skills.
Aged
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Delivery of Health Care
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Electronic Health Records
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Family Characteristics
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Health Records, Personal
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Humans
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Internet
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Korea
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Logistic Models
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Surveys and Questionnaires