PubMed Health⌕ Search

Biomedical subjects

Kyusuk Chung

Publications and source records attributed to Kyusuk Chung.

5 recordsLinked to original sources

Health and GIS: toward spatial statistical analyses.

This study examined the extent to which health studies, mostly in public health and epidemiology, used geographical information systems (GIS). We identified a wide range of tools they used-ranging from geocoding through simple buffer/overlay functions to spatial query functions. However, studies tend to rely on tools outside of GIS for spatial statistical analyses. This may reflect a lack of spatial statistical tools that are suitable for health researchers whose data are rather geographically aggregated count data than continuous data. Implementation within GIS of spatial analytical tools suitable for aggregated data over a region will increase the use of GIS beyond simple GIS operations in health studies.

Geographic Information Systems↗

Geographic information systems in public health and medicine.

Geographic information systems (GIS) are increasingly being used in public health and medicine. Advances in computer technology, the encouragement of its use by the federal government, and the wide availability of academic and commercial courses on GIS are responsible for its growth. Some view GIS as only a tool for spatial research and policy analysis, while others believe it is part of a larger emerging new science including geography, cartography, geodesy, and remote sensing. The specific advantages and problems of GIS are discussed. The greatest potential of GIS is its ability to clearly show the results of complex analyses through maps. Problems in using GIS include its costs, the need to adequately train staff, the use of appropriate spatial units, and the risk it poses to violating patient confidentiality. Lastly, the fourteen articles in this special issue devoted to GIS are introduced and briefly discussed.

Data Interpretation, Statistical↗

Toward efficient medication error reduction: error-reducing information management systems.

Hospitals and other health-care providers today are being pressed more than ever to use technologies for reducing medical errors. Particularly, medication errors are likely to increase fast as Americans age. This paper intends to provide a starting point for understanding information technologies and database systems supporting such technologies as Computerized Physician Order Entry (CPOE), Automated Dispensing System (ADS), and Bar Coding System designed to reduce medication errors in hospitals. Although vendors provide the necessary communication software and applications, actions involving governments, technology vendors, pharmaceutical companies, and clinical researchers are needed to put to actual use the applications with a massive potential to significantly reduce medication-related errors.

Drug Prescriptions↗

Access to microdata on the Internet: Web-based analysis and data subset extraction tools.

The Internet is increasingly being recognized as an invaluable component of education. At the college and university level, online databases and statistical tools for Web-based analysis and data subset extraction have become important instructional resources. These Internet resources enable students to formulate specific research hypotheses, identify relevant variables, and analyze large existing databases. This article describes three of these resources: the Federal Electronic Research and Review Extraction Tool (FERRET) of the U.S. Bureau of the Census, the Survey Documentation and Analysis (SDA) unit at the University of California, Berkley, and the Inter-University Consortium for Political and Social Research (ICPSR), which is housed at the University of Michigan.

California↗