No abstract available.
Health Records, Personal ; Humans

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 ; Health Records, Personal* ; Humans ; Methods ; Semantics

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 ; Health Records, Personal ; Humans ; Information Systems

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.

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 ; Semantics ; Unified Medical Language System

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 ; Electronic Health Records ; Health Records, Personal* ; Humans ; Internet ; Mobile Applications ; Patient-Centered Care ; Seoul

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 ; Electronic Health Records ; Expert Testimony ; Growth and Development ; Health Records, Personal ; Humans ; Medical Subject Headings

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 ; *Data Anonymization ; *Electronic Health Records ; *Health Records, Personal ; Humans ; Multilingualism ; Natural Language Processing ; Research Design

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 ; Delivery of Health Care ; Dentistry ; Health Care Sector ; Health Records, Personal ; Information Systems ; Politics

OBJECTIVES: The objective of this study was to describe the features of health informatics blogs on the Internet. METHODS: A search was conducted in August, 2016 using the search engine, Google, and key words: ‘mobile health blog,’‘telehealth/telemedicine blog,’‘Electronic Health Record blog,’‘personalized health record blog,’‘population health decision support system blog,’ and ‘public/population health dashboard blog.’ The first 24 blogs resulting from each key word search were recorded, generating 144 blogs. A total of 109 unique blogs resulted after removing duplicates and non-functional sites. RESULTS: Blogs with ‘.com’ extensions were most prevalent (72%, n = 79). More than half of the blogs (79%, n = 86) were created by industries. Mobile health (88%, n = 96), telehealth (82%, n = 89), and health IT (78%, n = 85) were the predominant topics covered. Health providers (44%, n = 48), industries (33%, n = 36), patients/consumers (25%, n = 27) and payers/insurance providers (19%, n = 21) constituted the most common target audience. Blogs catering to payers commonly used ‘.org’ extension (n = 10 out of 21), compared to ‘.com’ (n = 7) or ‘.gov’ (n = 2) (p < 0.0001). Significant differences were also observed by topics covered health IT (p = 0.007), subscription (p = 0.048) and LinkedIn social media (p = 0.019) across the website extensions. CONCLUSIONS: Further research is needed to examine the use of blogs as channels of communication of best evidence in health informatics research among diverse stakeholders. The role of blogs as policy informatics tools need to be evaluated in order for stakeholders to collaborate, coordinate and share opportunities and challenges of various public health programs and policies.
Biomedical Technology* ; Blogs* ; Electronic Health Records ; Health Records, Personal ; Informatics ; Internet ; Public Health ; Search Engine ; Social Media ; Telemedicine