Recently, digital health has gained the attention of physicians, patients, and healthcare industries. Digital health, a broad umbrella term, can be defined as an emerging health area that uses brand new digital or medical technologies involving genomics, big data, wearables, mobile applications, and artificial intelligence. Digital health has been highlighted as a way of realizing precision medicine, and in addition is expected to become synonymous with health itself with the rapid digitization of all health-related data. In this article, we first define digital health by reviewing the diverse range of definitions among academia and government agencies. Based on these definitions, we then review the current status of digital health, mainly in Korea, suggest points that are missing from the discussion or ought to be added, and provide future directions of digital health in clinical practice by pointing out certain key points.
Artificial Intelligence ; Genomics ; Government Agencies ; Government Regulation ; Health Care Sector ; Humans ; Korea ; Mobile Applications ; Precision Medicine ; Telemedicine

OBJECTIVES: Conventional radiological processes have been replaced by digital images and information technology systems within South Africa and other developing countries. Picture Archiving and Communication Systems (PACS) technology offers many benefits to institutions, medical personnel and patients; however, the implementation of such systems can be a challenging task. It has been documented that South Africa has been using PACS for more than a decade in public hospitals with moderate success. The aim of this study was to identify and describe the PACS challenges endured by PACS vendors during implementation in the South African public healthcare sector. METHODS: This was achieved by engaging in a methodological approach that was qualitative in nature collecting data through semi structured interviews from 10 PACS experts/participants which were later analysed qualitatively. RESULTS: The findings show that PACS vendors have countless challenges, some of which include space, insufficient infrastructure, image storage capacity, system maturity and vendor related concerns. It was clear that the PACS experts readily offered contextually appropriate descriptions of their encounters during PACS implementations in South African public healthcare institutions. CONCLUSIONS: PACS vendors anticipate these challenges when facing a public healthcare institution and it is recommended that the hospital management and potential PACS stakeholders be made aware of these challenges to mitigate their effects and aid in a successful implementation.
Commerce ; Delivery of Health Care ; Developing Countries ; Health Care Sector ; Hospitals, Public ; Humans ; Information Storage and Retrieval ; Medical Informatics ; Medical Informatics Computing ; Radiography ; Radiology Information Systems ; South Africa

The first hospice care center in Korea dates back to the East West Infirmaries (Dongseodaebiwon in the Korean language) of the Goryeo period in the early 11th century. It has been 50 years since hospice care was introduced in Korea. Initially hospice care was provided in the private sector, including those with a religious background, and its development was slow. In the 1990s, related religious organizations and academic associations were established, and then, a full-swing growth phase was ushered in as the Korean government institutionalized hospice care in the early 2000s. As a result, enhanced quality of hospice care service could be provided, which meant better pain management and higher quality of life for late stage cancer patients and their families. Still, the nation lacked a realistic reimbursement system which was needed to for financial stability of the affected patients. However, the national health insurance scheme began to cover hospice palliative expenses in 2015. In 2016, the Act on Decisions on Life-Sustaining Treatment for Patients in Hospice and Palliative Care or at the End of Life was legislated, allowing terminally-ill patients to refuse meaningless life-sustaining treatments. As the range of diseases subject to hospice palliative care was expanded, more challenges and issues need to be addressed by the service providers.
Hospice Care ; Hospices ; Humans ; Korea ; National Health Programs ; Pain Management ; Palliative Care ; Private Sector ; Quality of Life

OBJECTIVE: Enhanced technology in computer and internet has driven scale and quality of data to be improved in various areas including healthcare sectors. Machine Learning (ML) has played a pivotal role in efficiently analyzing those big data, but a general misunderstanding of ML algorithms still exists in applying them (e.g., ML techniques can settle a problem of small sample size, or deep learning is the ML algorithm). This paper reviewed the research of diagnosing mental illness using ML algorithm and suggests how ML techniques can be employed and worked in practice. METHODS: Researches about mental illness diagnostic using ML techniques were carefully reviewed. Five traditional ML algorithms-Support Vector Machines (SVM), Gradient Boosting Machine (GBM), Random Forest, Naïve Bayes, and K-Nearest Neighborhood (KNN)-frequently used for mental health area researches were systematically organized and summarized. RESULTS: Based on literature review, it turned out that Support Vector Machines (SVM), Gradient Boosting Machine (GBM), Random Forest, Naïve Bayes, and K-Nearest Neighborhood (KNN) were frequently employed in mental health area, but many researchers did not clarify the reason for using their ML algorithm though every ML algorithm has its own advantages. In addition, there were several studies to apply ML algorithms without fully understanding the data characteristics. CONCLUSION: Researchers using ML algorithms should be aware of the properties of their ML algorithms and the limitation of the results they obtained under restricted data conditions. This paper provides useful information of the properties and limitation of each ML algorithm in the practice of mental health.
Bays ; Forests ; Health Care Sector ; Internet ; Learning ; Machine Learning ; Mental Health ; Residence Characteristics ; Sample Size ; Support Vector Machine

OBJECTIVES: The objective of this study was to investigate the relationship between the level of Electronic Medical Record (EMR) system adoption and healthcare information technology (IT) infrastructure. METHODS: Both survey and various healthcare administrative datasets in Korea were used. The survey was conducted during the period from June 13 to September 25, 2017. The chief information officers of hospitals were respondents. Among them, 257 general hospitals and 273 small hospitals were analyzed. A logistic regression analysis was conducted using the SAS program. RESULTS: The odds of having full EMR systems in general hospitals statistically significantly increased as the number of IT department staff members increased (odds ratio [OR] = 1.058, confidence interval [CI], 1.003–1.115; p = 0.038). The odds of having full EMR systems was significantly higher for small hospitals that had an IT department than those of small hospitals with no IT department (OR = 1.325; CI, 1.150–1.525; p < 0.001). Full EMR system adoption had a positive relationship with IT infrastructure in both general hospitals and small hospitals, which was statistically significant in small hospitals. The odds of having full EMR systems for small hospitals increased as IT infrastructure increased after controlling the covariates (OR = 1.527; CI, 1.317–4.135; p = 0.004). CONCLUSIONS: This study verified that full EMR adoption was closely associated with IT infrastructure, such as organizational structure, human resources, and various IT subsystems. This finding suggests that political support related to these areas is indeed necessary for the fast dispersion of EMR systems into the healthcare industry.
Dataset ; Delivery of Health Care* ; Electronic Health Records* ; Health Care Sector ; Hospitals, General ; Humans ; Korea ; Logistic Models ; Surveys and Questionnaires

The Korean society is rapidly aging and the health care needs for aged people are increasing. In this context, some physicians claim to establish new medical specialty board (MSB) for geriatric medical experts but also MSB for primary medical care specialists, clinical pharmacologists, and public health experts. In Korea, basic concept for the specialty board system is still under debates and the legal support for the system is poor. At present, doctors with MSBs in private sectors supply 92.4% of primary medical care but the National Health Care System requires more primary care physicians than specialists in Korea. Therefore, the government must invest in the education of doctors more to improve the public health care system. The proposal of the new MSB for geriatric medicine must be gradually developed according to the national long-term health plan, social needs, and national budget for the public benefit. Please stop discussing unprepared new MSBs.
Aging ; Budgets ; Delivery of Health Care ; Education ; Humans ; Korea ; Physicians, Primary Care ; Private Sector ; Public Health ; Specialization ; Specialty Boards*

This study investigates beyond the bifurcated myth of the medical migration of Korean women to Germany in the 1970s, which is known as the “German dispatchment” myth from the Korean perspective and the “development aid” discourse from that of the Germans, by focusing on the newly-released documents from the German Hospital Federation (Deutsche Krankenhausgesellschaft, DKG). The migration was essentially a transfer of labor from a weak to a strong state, and the disparity of state strength characterized the nature of the recruitment mechanism. Both Korea and Germany have romanticized the labor transfer and appropriated the collective experiences of migrants for their own political purposes. In this transnational business, the Korean Overseas Development Corporation (KODCO) and the DKG maintained exclusivity in the labor migration channel and were faithful to their own interests. The DKG, as a representative of the German healthcare industry, was concerned about being criticized for destroying the healthcare system of developing countries by stealing their skilled workforce. They, therefore, tried to influence publicity in Korea and Germany to persuade the people that the recruitment benefited both countries. However, the DKG was aware of the deceitfulness of its “development aid” discourse. The Korean government, which advanced the labor export for the sake of obtaining foreign currency, romanticized it as patriotism and used the term “German dispatchment.” However, the incapacity and corruption of KODCO as an agency from the Korean perspective resulted in criticism regarding its recruitment program. The DKG complained that the selection of incapable personnel coupled with corruption was causing unforeseen financial damage to its member hospitals. Nevertheless, it officially defended its partner for the sake of its own interests, such as avoiding bad publicity and securing the sustainability of the recruitment program. The conflicts regarding nursing tasks and working conditions between Korean nurses and their German colleagues and employers captured in the documents of the DKG trace the origin of the issues in relation to cultural misunderstanding and pervasive racism. The disparity of state strength between the two countries resulted in the subaltern position of Korean female healthcare workers in the global labor market, and they tried to bring forth the best possible outcome while working in a foreign country in unfamiliar circumstances. However, the difficulties with female guest workers from Asia were generally credited to their inability to adhere to the German working style. This study contributes to the existing scholarship on this topic by filling the gaps. Historical research on the medical migration of Korean nurses and nurse-aides to West Germany has relied on limited historical sources. In 2013, the National Archives of Korea transferred official documents regarding these workers that were produced and archived by the DKG, which represented the interests of German healthcare institutions. Its documents on Korean nursing personnel provide supplementary information and display findings in different perspectives. They do not bring forth completely new findings that have never been researched before but are still valuable for delivering concrete evidence on the circumstances of that time, which were previously merely inferred.
Asia ; Commerce ; Delivery of Health Care ; Developing Countries ; Emigration and Immigration ; Fellowships and Scholarships ; Female* ; Germany* ; Health Care Sector ; Humans ; Korea ; Nursing ; Racism ; Theft ; Transients and Migrants

BACKGROUND: Numerous studies have shown that healthcare professionals are exposed to psychological distress. However, since most of these studies assessed psychological distress using self-reporting questionnaires, the magnitude of the problem is largely unknown. We evaluated the risks of mood disorders, anxiety disorders, sleep disorders, and any psychiatric disorders in workers in healthcare industry using Korea National Health Insurance (NHI) claims data from 2014, which are based on actual diagnoses instead of self-evaluation. METHODS: We used Korea 2014 NHI claims data and classified employees as workers in the healthcare industry, based on companies in the NHI database that were registered with hospitals, clinics, public healthcare, and other medical services. To estimate the standardized prevalence of the selected mental health disorders, we calculated the prevalence of diseases in each age group and sex using the age distribution of the Korea population. To compare the risk of selected mental disorders among workers in the healthcare industry with those in other industries, we considered age, sex, and income quartile characteristics and conducted propensity scored matching. RESULTS: In the matching study, workers in healthcare industry had higher odds ratios for mood disorders (1.13, 95% CI: 1.11–1.15), anxiety disorders (1.15, 95% CI: 1.13–1.17), sleep disorders (2.21, 95% CI: 2.18–2.24), and any psychiatric disorders (1.44, 95% CI: 1.43–1.46) than the reference group did. Among workers in healthcare industry, females had higher prevalence of psychiatric disorders than males, but the odds ratios for psychiatric disorders, compared to the reference group, were higher in male workers in healthcare industry than in females. CONCLUSIONS: The prevalence of mood disorders, anxiety disorders, sleep disorders, and all psychiatric disorders for workers in the healthcare industry was higher than that of other Korean workers. The strikingly high prevalence of sleep disorders could be related to the frequent night-shifts in these professions. The high prevalence of mental health problems among workers in healthcare industry is alarming and requires prompt action to protect the health of the “protectors.”
Age Distribution ; Anxiety Disorders ; Delivery of Health Care ; Diagnosis ; Diagnostic Self Evaluation ; Female ; Health Care Sector ; Humans ; Korea ; Male ; Mental Disorders ; Mental Health ; Mood Disorders ; National Health Programs ; Odds Ratio ; Prevalence ; Sleep Wake Disorders

Advances in technology lead to advances in medical devices, and these advances have the positive effect of creating opportunities for beneficial developments in healthcare, such as innovating traditional healthcare processes or expanding opportunities for diagnosing and treating diseases. Nonetheless, device developers, suppliers, users, insurers, and patients all face the challenge of balancing patient safety and health effectiveness with a reasonable profit. In Korea, the New Health Technology Assessment system aims to introduce safe and effective health technology, but this is only effective for the entry of devices onto the healthcare market. This system is not enough for creating a healthy ecosystem in which high-quality technologies and devices survive in the market and naturally exit from the market if not successful. The nation must not lag in the rapid development of medical devices, but the concomitant requirement for patient safety is like two rabbits moving in different directions. There is not enough time to resolve each source of uncertainty for both developers and users. The early adoption of health technologies, including medical devices, offers new opportunities for treatment and diagnosis, but also poses unexpected health risks. Thus, we need to design a plan to generate scientific evidence related to medical devices after they introduced into practice. Additionally, regarding the use of individual medical devices, we believe that the creation of a healthy ecosystem for medical devices by implementing medical device surveillance culture is a way to manage the opportunities and risks of the early introduction of innovative medical devices.
Biomedical Technology ; Delivery of Health Care ; Diagnosis ; Ecosystem ; Health Care Sector ; Humans ; Insurance Carriers ; Korea ; Patient Safety ; Rabbits ; Technology Assessment, Biomedical ; Uncertainty

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