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Objectives@#Systematic evaluations of the benefits of health information technology (HIT) play an essential role in enhancing healthcare quality by improving outcomes. However, there is limited empirical evidence regarding the benefits of IT adoption in healthcare settings. This study aimed to review the benefits of artificial intelligence (AI), the internet of things (IoT), and personal health records (PHR), based on scientific evidence. @*Methods@#The literature published in peer-reviewed journals between 2016 and 2022 was searched for systematic reviews and meta-analysis studies using the PubMed, Cochrane, and Embase databases. Manual searches were also performed using the reference lists of systematic reviews and eligible studies from major health informatics journals. The benefits of each HIT were assessed from multiple perspectives across four outcome domains. @*Results@#Twenty-four systematic review or meta-analysis studies on AI, IoT, and PHR were identified. The benefits of each HIT were assessed and summarized from a multifaceted perspective, focusing on four outcome domains: clinical, psycho-behavioral, managerial, and socioeconomic. The benefits varied depending on the nature of each type of HIT and the diseases to which they were applied. @*Conclusions@#Overall, our review indicates that AI and PHR can positively impact clinical outcomes, while IoT holds potential for improving managerial efficiency. Despite ongoing research into the benefits of health IT in line with advances in healthcare, the existing evidence is limited in both volume and scope. The findings of our study can help identify areas for further investigation.
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Objectives@#E-detailing methods have steadily evolved toward more contactless and interactive channels, which have received considerable attention during the coronavirus disease 2019 (COVID-19) crisis. Based on the technology acceptance model, this study attempted to identify medical representatives’ perceptions and attitudes towards individual innovativeness that affected users’ intentions to adopt new e-detailing devices utilizing information and communication technology. @*Methods@#The subjects of the current study were medical representatives at three major multinational or domestic pharmaceutical companies that operate in South Korea. In total, 300 questionnaires were distributed and 221 were returned. The survey elicited information on respondents’ perceived ease of use (PEOU), perceived usefulness (PU), personal innovativeness (PI), and user acceptance (UA) of remote e-detailing technology, in addition to demographic information and occupational characteristics. Structural equation models were fitted to the data. Separate analyses were conducted for different platform types, PCs and mobile devices. @*Results@#PEOU showed a statistically significant positive association with PU. PEOU, PU, and PI were associated with UA, and PI was a statistically significant moderator. On average, PEOU explained up to approximately 45% of the total variation in UA of remote e-detailing. @*Conclusions@#The analysis supports the framework of the technology acceptance model. PEOU was a substantially strong direct predictor of UA, and PI had a statistically significant, positive moderating effect between PU and UA. Medical representatives with pro-innovative attitudes are more likely to play the role of early adopters of remote e-detailing if they find this technology to be more useful.
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Objectives@#The prevalence of psychiatric disorders among young adults is different from that among younger or older age groups because of biological and environmental changes. The purpose of this study was to analyze the diagnostic distribution of psychiatric disorders in 19–30-year-old Koreans based on their age and gender using data from the Korean National Health Insurance Service (NHIS). @*Methods@#From the 2011 medical claims sample data of NHIS of 1,375,842 people, we extracted the data of 221,038 people aged 19–30 years, including 106,232 (48.1%) men and 114,806 (51.9%) women. We evaluated the overall changes in the diagnostic distribution of psychiatric disorders over a 3-year period. @*Results@#The diagnostic frequency in women was 13,627 (59.0%), which was significantly higher than that in men. “Other anxiety disorders” was the most common psychiatric disorder in both genders, followed by depressive episodes, somatoform disorders, “other neurotic disorders,” and nonorganic sleep disorders. In men, attention-deficit/hyperactivity disorder or intellectual disabilities were not among the top 10 disorders. In women, no significant changes in major psychiatric disorders were seen over the 3-year period. @*Conclusion@#These results reveal the trends of diagnostic distribution of mental illnesses depending on the development, particularly in young adulthood. It is necessary to identify whether such trends are due to biological or environmental factors, aging processes, or complex influences.
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Objectives@#With growing attention on the healthcare industry as a potential market for big data and artificial intelligence in the Fourth Industrial Revolution, countries around the world are introducing and developing various policies and projects related to health information technology (HIT). To assist prioritizing HIT topics in policy making, this study adopts the Delphi technique to garner expert opinions from various fields of health informatics. @*Methods@#Data were collected from November 2019 to February 2020 using the Delphi technique through two rounds of surveys administered via email. The Delphi panel consisted of 16 experts with a high level of experience in health informatics. They were from the Health Information Policy Advisory Committee of the Ministry of Health and Welfare of Korea, and the board of directors of the Korean Society of Medical Informatics. The experts were asked to assess the importance, urgency, and difficulty of HIT topics in three domains: technology, application, and infrastructure. @*Results@#Of the 40 topic items, a 100% agreement was reached for the importance of 6 items, including 2 items in technology, 1 item in application, and 3 items in infrastructure domains. Especially, Quadrant I of a 2×2 matrix showing high importance and high urgency included 7 items in the technology domain, 2 items in the application domain, and 13 items in the infrastructure domain. @*Conclusions@#Most items with high importance and urgency belonged to the infrastructure domain. The findings indicated that fostering an infrastructural environment should be polices with top priorities of HIT.
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Objectives@#The prevalence of psychiatric disorders among young adults is different from that among younger or older age groups because of biological and environmental changes. The purpose of this study was to analyze the diagnostic distribution of psychiatric disorders in 19–30-year-old Koreans based on their age and gender using data from the Korean National Health Insurance Service (NHIS). @*Methods@#From the 2011 medical claims sample data of NHIS of 1,375,842 people, we extracted the data of 221,038 people aged 19–30 years, including 106,232 (48.1%) men and 114,806 (51.9%) women. We evaluated the overall changes in the diagnostic distribution of psychiatric disorders over a 3-year period. @*Results@#The diagnostic frequency in women was 13,627 (59.0%), which was significantly higher than that in men. “Other anxiety disorders” was the most common psychiatric disorder in both genders, followed by depressive episodes, somatoform disorders, “other neurotic disorders,” and nonorganic sleep disorders. In men, attention-deficit/hyperactivity disorder or intellectual disabilities were not among the top 10 disorders. In women, no significant changes in major psychiatric disorders were seen over the 3-year period. @*Conclusion@#These results reveal the trends of diagnostic distribution of mental illnesses depending on the development, particularly in young adulthood. It is necessary to identify whether such trends are due to biological or environmental factors, aging processes, or complex influences.
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OBJECTIVES: This paper describes an experience of implementing seamless service trials online and offline by adopting Internet of Things (IoT) technology based on near-field communication (NFC) tags and Bluetooth low-energy (BLE) beacons. The services were provided for both patients and health professionals. METHODS: The pilot services were implemented to enhance healthcare service quality, improve patient safety, and provide an effective business process to health professionals in a tertiary hospital in Seoul, Korea. The services to enhance healthcare service quality include healing tours, cancer information/education, psychological assessments, indoor navigation, and exercise volume checking. The services to improve patient safety are monitoring of high-risk inpatients and delivery of real-time health information in emergency situations. In addition, the services to provide an effective business process to health professionals include surveys and web services for patient management. RESULTS: Considering the sustainability of the pilot services, we decided to pause navigation and patient monitoring services until the interference problem could be completely resolved because beacon signal interference significantly influences the quality of services. On the other hand, we had to continue to provide new wearable beacons to high-risk patients because of hygiene issues, so the cost increased over time and was much higher than expected. CONCLUSIONS: To make the smart connected hospital services sustainable, technical feasibility (e.g., beacon signal interference), economic feasibility (e.g., continuous provision of new necklace beacons), and organizational commitment and support (e.g., renewal of new alternative medical devices and infrastructure) are required.
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Humans , Commerce , Delivery of Health Care , Emergencies , Hand , Health Occupations , Hygiene , Inpatients , Internet , Korea , Mobile Applications , Monitoring, Physiologic , Patient Safety , Pilot Projects , Radio Frequency Identification Device , Seoul , Smartphone , Tertiary Care CentersABSTRACT
OBJECTIVE: We aimed to investigate the current diagnostic incidence, and medical and psychiatric comorbidities of reactive attachment disorder (RAD) using the National Health Insurance Review and Assessment (HIRA) claims data. METHODS: To examine the diagnostic incidence, we selected patients who were under 10-year-old and who had at least one medical claim containing a 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) code for RAD (F94.1 and F94.2) and who had not been diagnosed in the previous 360 days, from 2010 to 2012. In this study, we used the term ‘reactive attachment disorder’ representing for both RAD per se and Disinhibited social engagement disorder. Comorbid disorders were categorized according to ICD-10. RESULTS: Among 14,029,571, the total population under 10-year-old during 2010–2012, incident cases of RAD were 736. The mean diagnostic incidence of RAD was 5.25 per 100,000 annually. Language disorders (F80-84) were the most common psychiatric comorbidities in both boys and girls in age groups 0–3 years and 4–6 years, and attention deficit hyperactivity disorder was the most common in both sex aged 7–9 years. In non-psychiatric comorbidities, diseases of the respiratory system (J00–99) were the commonest in both sex in all age groups, and diseases of the digestive system (K00–99) were the next. CONCLUSION: RAD was very rare in practice and would be disguised as other psychiatric disorders. Children with RAD might have more medical comorbidities than typically developed children.
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Child , Female , Humans , Attention Deficit Disorder with Hyperactivity , Comorbidity , Digestive System , Incidence , International Classification of Diseases , Korea , Language Disorders , National Health Programs , Reactive Attachment Disorder , Respiratory SystemABSTRACT
No abstract available.
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Anniversaries and Special Events , Periodicals as Topic , Medical Informatics , Societies, MedicalABSTRACT
OBJECTIVES: Big data analysis is receiving increasing attention in many industries, including healthcare. Visualization plays an important role not only in intuitively showing the results of data analysis but also in the whole process of collecting, cleaning, analyzing, and sharing data. This paper presents a procedure for the interactive visualization and analysis of healthcare data using Tableau as a business intelligence tool. METHODS: Starting with installation of the Tableau Desktop Personal version 10.3, this paper describes the process of understanding and visualizing healthcare data using an example. The example data of colon cancer patients were obtained from health insurance claims in years 2012 and 2013, provided by the Health Insurance Review and Assessment Service. RESULTS: To explore the visualization of healthcare data using Tableau for beginners, this paper describes the creation of a simple view for the average length of stay of colon cancer patients. Since Tableau provides various visualizations and customizations, the level of analysis can be increased with small multiples, view filtering, mark cards, and Tableau charts. CONCLUSIONS: Tableau is a software that can help users explore and understand their data by creating interactive visualizations. The software has the advantages that it can be used in conjunction with almost any database, and it is easy to use by dragging and dropping to create an interactive visualization expressing the desired format.
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Humans , Artificial Intelligence , Colonic Neoplasms , Commerce , Data Display , Delivery of Health Care , Information Storage and Retrieval , Insurance, Health , Intelligence , Length of Stay , Statistics as TopicABSTRACT
OBJECTIVES: A citation analysis of biomedical and health sciences journals was conducted based on their enlistment in journal databases to identify the factors contributing to the citation metrics. METHODS: Among the 1,219 academic journals managed by the National Center for Medical Information and Knowledge at the Korea Centers for Disease Control and Prevention, 556 journals were included for analysis as of July 2016. The characteristics of the journals include history years, publication media, language, open-access policy as well as the status enlisted in international and domestic databases, such as Science Citation Index (SCI), Scopus, Medline, PubMed Central, Embase, and Korea Citation Index (KCI). Six bibliometric measures were collected from SCI, Scopus, and KCI as of 2015, the most recent disclosure year. Analyses of group differences and influential factors were conducted using t-tests, Mann-Whitney tests, and multiple regression. RESULTS: Journal characteristics, such as history years, publication media, and open-access policy, were not significant factors influencing global or domestical citation of the journals. However, global citations were higher for SCI and Medline enlisted journals than for their counterparts. Among KCI journals, the KCI impact factors of journals published in English only were lower. CONCLUSIONS: Efforts by journals to be enlisted in international databases, especially in SCI and Medline, are critical to enhance their global circulation. However, articles published in English only hinder the use of domestic researchers. Different strategies are required for enhancing international and domestic readerships.
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Access to Information , Disclosure , Journal Impact Factor , Korea , Medical Subject Headings , Publications , Regression Analysis , Republic of KoreaABSTRACT
OBJECTIVES: Services based on the Internet of Things (IoT) technologies have emerged in various business environments. To enhance health service quality and maximize benefits, this study applied an IoT technology based on NFC and iBeacon as an omni-channel service for patient care in hospitals. METHODS: Application of the IoT technology based on NFC and iBeacon was conducted in a general hospital during August 2015 through June 2016, and the development and evaluation results were aligned to an action research framework. The five phases in the action research included diagnosing, planning action, taking action, evaluating action, and specifying learning phases. RESULTS: During the first two phases, problems of functional operations in a hospital were diagnosed and eight service models were designed by using iBeacon and NFC to solve the problems. Service models were applied to the hospital by installing beacons, wearable beacons, beacon scanners, and NFC tags during the third phase. During the fourth and fifth phases, the roles and benefits of stakeholders participating in the service models were evaluated, and issues and knowledge of the whole application process were derived and summarized from technological, economic, social and legal perspectives, respectively. CONCLUSIONS: From an action research perspective, IoT-based healthcare services were developed and verified. IoT-based services enable the hospital to acquire lifelog data for precision medicine and ultimately be able to go one step closer to precision medical care. The derived service models could provide patients more enhanced healthcare services and improve the work efficiency and effectiveness of the hospital.
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Humans , Commerce , Computer Communication Networks , Delivery of Health Care , Health Services , Health Services Research , Hospital Communication Systems , Hospitals, General , Internet , Learning , Patient Care , Precision Medicine , Telemedicine , Wireless TechnologyABSTRACT
Children with autism are often medicated to manage emotional and behavioral symptoms; yet, data on such pharmacotherapy is insufficient. In this study, we investigated the Korean National Health Insurance Claims Database (NHICD) information related to autism incidence and psychotropic medication use. From the 2010–2012 NHICD, we selected a total of 31,919,732 subjects under 19 years old. To examine the diagnostic incidence, we selected patients who had at least one medical claim containing an 10th revision of International Statistical Classification of Diseases and Related Health Problems (ICD-10) code for pervasive developmental disorder, F84, not diagnosed in the previous 360 days. Psychotropics were categorized into seven classes. Then, we analyzed the data to determine the mean annual diagnostic incidence and psychotropic prescription trends. Diagnostic incidence was 17,606 for the 3 years, with a mean annual incidence per 10,000 population of 5.52. Among them, 5,348 patients were prescribed psychotropics. Atypical antipsychotics were the most commonly used, followed by antidepressants. An older age, male sex, and the availability of medical aid were associated with a higher rate of prescription than observed for a younger age, female sex, and the availability of health insurance. Psychotropic drugs were used for less than one-third of patients newly diagnosed with autism, and prescription differed by sex and age. Increased diagnostic incidence is associated with an increased prescription of psychotropic drugs. Therefore, medication-related safety data and policies for psychotropic drugs in autism should be prepared.
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Adolescent , Child , Female , Humans , Male , Antidepressive Agents , Antipsychotic Agents , Autistic Disorder , Behavioral Symptoms , Central Nervous System Stimulants , Drug Therapy , Drug Utilization , Incidence , Insurance, Health , International Classification of Diseases , National Health Programs , Prescriptions , Psychotropic DrugsABSTRACT
OBJECTIVES: Few attempts have been made to develop a generic health-related quality of life (HRQoL) instrument and to examine its validity and reliability in Korea. We aimed to do this in our present study. METHODS: After a literature review of existing generic HRQoL instruments, a focus group discussion, in-depth interviews, and expert consultations, we selected 30 tentative items for a new HRQoL measure. These items were evaluated by assessing their ceiling effects, difficulty, and redundancy in the first survey. To validate the HRQoL instrument that was developed, known-groups validity and convergent/discriminant validity were evaluated and its test-retest reliability was examined in the second survey. RESULTS: Of the 30 items originally assessed for the HRQoL instrument, four were excluded due to high ceiling effects and six were removed due to redundancy. We ultimately developed a HRQoL instrument with a reduced number of 20 items, known as the Health-related Quality of Life Instrument with 20 items (HINT-20), incorporating physical, mental, social, and positive health dimensions. The results of the HINT-20 for known-groups validity were poorer in women, the elderly, and those with a low income. For convergent/discriminant validity, the correlation coefficients of items (except vitality) in the physical health dimension with the physical component summary of the Short Form 36 version 2 (SF-36v2) were generally higher than the correlations of those items with the mental component summary of the SF-36v2, and vice versa. Regarding test-retest reliability, the intraclass correlation coefficient of the total HINT-20 score was 0.813 (p<0.001). CONCLUSIONS: A novel generic HRQoL instrument, the HINT-20, was developed for the Korean general population and showed acceptable validity and reliability.
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Aged , Female , Humans , Focus Groups , Korea , Quality of Life , Referral and Consultation , Reproducibility of ResultsABSTRACT
OBJECTIVES: Electronic detailing (e-detailing), the use of electronic devices to facilitate sales presentations to physicians, has been adopted and expanded in the pharmaceutical industry. To maximize the potential outcome of e-detailing, it is important to understand medical representatives (MRs)' behavior and attitude to e-detailing. This study investigates how information technology devices such as laptop computers and tablet PCs are utilized in pharmaceutical marketing, and it analyzes the factors influencing MRs' intention to use devices. METHODS: This study has adopted and modified the theory of Roger's diffusion of innovation model and the technology acceptance model. To test the model empirically, a questionnaire survey was conducted with 221 MRs who were working in three multinational or eleven domestic pharmaceutical companies in Korea. RESULTS: Overall, 28% and 35% of MRs experienced using laptop computers and tablet PCs in pharmaceutical marketing, respectively. However, the rates were different across different groups of MRs, categorized by age, education level, position, and career. The results showed that MRs' intention to use information technology devices was significantly influenced by perceived usefulness in general. Perceived ease of use, organizational and individual innovativeness, and several MR characteristics were also found to have significant impacts. CONCLUSIONS: This study provides timely information about e-detailing devices to marketing managers and policy makers in the pharmaceutical industry for successful marketing strategy development by understanding the needs of MRs' intention to use information technology. Further in-depth study should be conducted to understand obstacles and limitations and to improve the strategies for better marketing tools.
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Humans , Administrative Personnel , Commerce , Diffusion of Innovation , Drug Industry , Education , Intention , Korea , MarketingABSTRACT
No abstract available.
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OBJECTIVES: As a preliminary study on the prevalence of mental disorders in Korean children and adolescents, we investigated the diagnosis distribution of mental disorders in people under 19 years of age using the health insurance data. METHODS: From the 2011 health insurance data of 1,375,842 people, the data of 286,465 people under 19 years old were extracted. Among them, we selected 10,778 with psychiatric diagnoses; male 6,453 (59.9%) and female 4,325 (40.1%). The frequency of psychiatric diagnoses in the males was 10,140 (62.7%) cases, which was significantly higher than that (6,031; 37.3%) in the females. We categorized the groups into 3 year intervals. RESULTS: In the males under 3 years old, F80 was the most prevalent diagnosis, followed by F98. F90 and F41 were the most prevalent in the 4-15 and above 16 years old groups, respectively. In the females, F98 was the most prevalent in the children up to 3 years old, while F80 was the second most prevalent. In the 4-6 years of age group, F98 was the most prevalent, followed by F93. F90 and F41 were predominant in the 7-12 and above 12 years old groups, respectively. CONCLUSION: In the analysis of the frequency of diagnosis of mental disorders in the population under 19 years old, there were significant differences in the distribution based on age and gender.