1.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
2.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
3.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
4.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
5.Blogs as Channels for Disseminating Health Technology Innovations.
Ashish JOSHI ; Rinzin WANGMO ; Chioma AMADI
Healthcare Informatics Research 2017;23(3):208-217
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*
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Blogs*
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Electronic Health Records
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Health Records, Personal
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Informatics
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Internet
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Public Health
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Search Engine
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Social Media
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Telemedicine
6.Prevalence of Sharing Access Credentials in Electronic Medical Records.
Ayal HASSIDIM ; Tzfania KORACH ; Rony SHREBERK-HASSIDIM ; Elena THOMAIDOU ; Florina UZEFOVSKY ; Shahar AYAL ; Dan ARIELY
Healthcare Informatics Research 2017;23(3):176-182
OBJECTIVES: Confidentiality of health information is an important aspect of the physician patient relationship. The use of digital medical records has made data much more accessible. To prevent data leakage, many countries have created regulations regarding medical data accessibility. These regulations require a unique user ID for each medical staff member, and this must be protected by a password, which should be kept undisclosed by all means. METHODS: We performed a four-question Google Forms-based survey of medical staff. In the survey, each participant was asked if he/she ever obtained the password of another medical staff member. Then, we asked how many times such an episode occurred and the reason for it. RESULTS: A total of 299 surveys were gathered. The responses showed that 220 (73.6%) participants reported that they had obtained the password of another medical staff member. Only 171 (57.2%) estimated how many time it happened, with an average estimation of 4.75 episodes. All the residents that took part in the study (45, 15%) had obtained the password of another medical staff member, while only 57.5% (38/66) of the nurses reported this. CONCLUSIONS: The use of unique user IDs and passwords to defend the privacy of medical data is a common requirement in medical organizations. Unfortunately, the use of passwords is doomed because medical staff members share their passwords with one another. Strict regulations requiring each staff member to have it's a unique user ID might lead to password sharing and to a decrease in data safety.
Confidentiality
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Electronic Health Records*
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Health Insurance Portability and Accountability Act
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Health Records, Personal
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Humans
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Legislation, Medical
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Medical Records
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Medical Staff
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Physician-Patient Relations
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Prevalence*
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Privacy
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Social Control, Formal
7.Smart Information System for Gachon University Gil Hospital.
Dong Kyun PARK ; Eun Young JUNG ; Byung Hui JEONG ; Byung Chan MOON ; Hyung Wook KANG ; Hann TCHAH ; Gi Seong HAN ; Woo Sung CHENG ; Young Ho LEE
Healthcare Informatics Research 2012;18(1):74-83
OBJECTIVES: In this research, the hospital information system of Gachon University Gil hospital is introduced and a future strategy for hospital information systems is proposed. METHODS: This research introduces the development conditions of hospital information system at Gachon University Gil hospital, information about the development of the enterprise resource planning (ERP), a medical service process improvement system, and the personal health record (PHR) system. RESULTS: The medical service process and work efficiency were improved through the medical service process improvement system, which is the most common hospital information system at Gachon University Gil hospital and which includes an emergency medical service system, an online evaluation system and a round support system. CONCLUSIONS: Gachon University Gil hospital developed medical service improvement systems to increase work efficiency of medical team and optimized the systems to prove the availability of high-quality medical services for patients and their families. The PHR-based personalized health care solution is under development and will provide higher quality medical service for more patients in the future.
Delivery of Health Care
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Electronic Health Records
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Emergency Medical Services
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Health Records, Personal
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Hospital Information Systems
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Humans
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Information Systems
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Management Information Systems
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Quality of Health Care
8.Leveraging Devices, Data and Discovery for Smarter Healthcare in Japan.
Healthcare Informatics Research 2011;17(3):184-189
OBJECTIVES: Over the past decade, hospitals and clinics have gradually adopted hospital information systems, including provider order entries and electronic health records. Although these systems have helped to improve patient safety and efficiency of healthcare providers, not all healthcare providers and patients are satisfied with the current situation. Healthcare should be smarter. Thus, there is a need for state-of-the-art medical and healthcare devices that can handle massive amounts of data with the help of sophisticated information processing and discovery technologies. METHODS: This article compares hospital information systems with the information systems of other social infrastructures. It also explores the possibilities of smarter healthcare, including personal health devices and personal health records with interoperability. RESULTS: The main traits of the iEHR at Teikyo University Hospital in Tokyo include IT governance, unification, and workflow efficiency. CONCLUSIONS: Smarter healthcare can be achieved by leveraging the full capabilities of devices, data, and sophisticated algorithms.
Automatic Data Processing
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Delivery of Health Care
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Electronic Health Records
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Equipment and Supplies
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Health Personnel
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Health Records, Personal
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Hospital Information Systems
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Humans
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Information Systems
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Japan
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Patient Safety
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Tokyo
9.The Personal Health Record.
Healthcare Informatics Research 2011;17(2):139-142
No abstract available.
Health Records, Personal
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Humans
10.Evaluation of User Experience of New Defense Medical Information System
Healthcare Informatics Research 2019;25(2):73-81
OBJECTIVES: This study aimed to investigate the user experience (UX) of the New Defense Medical Information System (N-DEMIS), which was introduced in 2012 as part of an effort to improve the old system of armed forces hospitals and ultimately bring their standards up to those of civilian hospitals. METHODS: In this study, the dependent variable was the UX of N-DEMIS and was composed of usability, affect, and user value. The questionnaire comprised 41 questions: nine on general characteristics, 20 on usability, four on affect, and eight on user value. The data collection period was from April 15 to April 30, 2018. Overall, 85 responses were received; of these, three insincere responses were excluded, and the remaining 82 responses were used in the analysis. RESULTS: The overall value of Cronbach's alpha was 0.917, indicating an overall high-reliability. There was a significant difference between user value and usability, but there was no significant differences between the other pairs. We observed a significant effect on UX for length of time working in an armed forces hospital and employment type. CONCLUSIONS: The results of our survey showed an even distribution of scores across the three elements of UX, showing that no particular aspect of N-DEMIS is superior to the others in terms of user satisfaction. However, the overall UX score of around 60% indicates the need for future improvements. Rather than focusing improvements on a specific area, improvements should be spread across usability, affect, and user value.
Arm
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Data Collection
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Electronic Health Records
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Employment
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Hospital Information Systems
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Information Systems
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Personal Satisfaction
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User-Computer Interface