OBJECTIVES: We analyzed Korea's data privacy regime in the context of protecting and utilizing health and medical big data and tried to draw policy implications from the analyses. METHODS: We conducted comparative analyses of the legal and regulatory environments governing health and medical big data with a view to drawing policy implications for Korea. The legal and regulatory regimes considered include the following: the European Union, the United Kingdom, France, the United States, and Japan. We reviewed relevant statutory materials as well as various non-statutory materials and guidelines issued by public authorities. Where available, we also examined policy measures implemented by government agencies. RESULTS: In this study, we investigated how various jurisdictions deal with legal and regulatory issues that may arise from the use of health and medical information with regard to the protection of data subjects' rights and the protection of personal information. We compared and analyzed various forms of legislation in various jurisdictions and also considered technical methods, such as de-identification. The main findings include the following: there is a need to streamline the relationship between the general data privacy regime and the regulatory regime governing health and medical big data; the regulatory and institutional structure for data governance should be more clearly delineated; and regulation should encourage the development of suitable methodologies for the de-identification of data and, in doing so, a principle-based and risk-based approach should be taken. CONCLUSIONS: Following our comparative legal analyses, implications were drawn. The main conclusion is that the relationship between the legal requirements imposed for purposes of personal information protection and the regulatory requirements governing the use of health and medical data is complicated and multi-faceted and, as such, their relationship should be more clearly streamlined and delineated.
Computer Security ; European Union ; France ; Government Agencies ; Great Britain ; Humans ; Japan ; Korea ; Privacy ; United States

PURPOSE: To estimate annual health care and productivity loss costs attributable to overweight or obesity in working asthmatic patients. MATERIALS AND METHODS: This study was conducted using the 2003–2013 Medical Expenditure Panel Survey (MEPS) in the United States. Patients aged 18 to 64 years with asthma were identified via self-reported diagnosis, a Clinical Classification Code of 128, or a ICD-9-CM code of 493.xx. All-cause health care costs were estimated using a generalized linear model with a log function and a gamma distribution. Productivity loss costs were estimated in relation to hourly wages and missed work days, and a two-part model was used to adjust for patients with zero costs. To estimate the costs attributable to overweight or obesity in asthma patients, costs were estimated by the recycled prediction method. RESULTS: Among 11670 working patients with a diagnosis of asthma, 4428 (35.2%) were obese and 3761 (33.0%) were overweight. The health care costs attributable to obesity and overweight in working asthma patients were estimated to be $878 [95% confidence interval (CI): $861–$895] and $257 (95% CI: $251–$262) per person per year, respectively, from 2003 to 2013. The productivity loss costs attributable to obesity and overweight among working asthma patients were $256 (95% CI: $253–$260) and $26 (95% CI: $26–$27) per person per year, respectively. CONCLUSION: Health care and productivity loss costs attributable to overweight and obesity in asthma patients are substantial. This study's results highlight the importance of effective public health and educational initiatives targeted at reducing overweight and obesity among patients with asthma, which may help lower the economic burden of asthma.
Adult ; Asthma/*economics/epidemiology/therapy ; *Cost of Illness ; *Efficiency ; *Employment ; Female ; *Health Care Costs ; Health Expenditures ; Humans ; Male ; Middle Aged ; Obesity/*economics/epidemiology/therapy ; Overweight/economics/epidemiology/therapy ; United States/epidemiology ; Young Adult

Microorganisms found in bioaerosols from animal confinement buildings not only foster the risk of spreading diseases among livestock buildings, but also pose health hazards to farm workers and nearby residents. This study identified the various microorganisms present in the air of swine, chicken, and cattle farms with different kinds of ventilation conditions in Korea. Microbial air samples were collected onto Petri dishes with bacterial or fungal growth media using a cascade impactor. Endotoxin levels in total dust were determined by the limulus amebocyte lysate kinetic QCL method. Prevalent Gram-positive bacteria were Staphylococcus (S.) lentus, S. chromogenes, Bacillus (B.) cereus, B. licheniformis, and Enterococcus faecalis, while the dominant fungi and Gram-negative bacteria were Candida albicans and Sphingomonas paucimobilis, respectively. Considering no significant relationship between the indoor dust endotoxin levels and the isolation of Gram-negative bacteria from the indoor air, monitoring the indoor airborne endotoxin level was found to be also critical for risk assessment on health for animals or workers. The present study confirms the importance of microbiological monitoring and control on animal husbandry indoor air to ensure animal and worker welfare.
Agriculture ; Animal Husbandry ; Animals ; Bacillus ; Bacteria* ; Candida albicans ; Cattle ; Chickens* ; Dust ; Enterococcus faecalis ; Farmers ; Fungi* ; Gram-Negative Bacteria ; Gram-Positive Bacteria ; Horseshoe Crabs ; Korea ; Livestock ; Methods ; Risk Assessment ; Sphingomonas ; Staphylococcus ; Swine ; Ventilation