Optimizing Data-Centric Healthcare: A Novel Monitoring Framework for High-Risk General Ward Patients.

The digital transformation of healthcare in South Korea, accelerated by COVID-19, has led to increased focus on critically ill patients in large hospitals. To address this, a monitoring system was developed to ensure safe inpatient treatment and improve staff efficiency. This aligns with the Medical Data-Centric Hospitals initiative, which leverages data for healthcare innovation.

Infection status of endoparasites in foreigner workers living in Cheonan City, Chungnam Province, Korea.

At present, more than 500,000 foreigner workers, most of them from Asian countries with high parasitic infection rates, are working in Korea. Since investigation into the prevalence of parasitic infections in foreigner workers has not yet been conducted in Korea, the present study was performed to determine the parasitic infection status of foreigner workers living in Cheonan City, Chungcheongnam-do (Chungnam Province) and to plan, on that basis, effective control measures. From October to December 2013, the parasitic infection status of 231 foreigner workers employed at selected Cheonan-si small businesses was investigated by both stool examination and ELISA.

Nursing critical patient severity classification system predicts outcomes in patients admitted to surgical intensive care units: use of data from clinical data repository.

To examine the Critical Patient Severity Classification System (CPSCS) recorded by nurses to predict ICU and hospital lengths of stay and mortality, data were drawn from patients admitted to 2 surgical intensive care units (SICUs) at a university hospital in Seoul, South Korea in 2010. This retrospective study used a large data set retrieved from the Clinical Data Repository System. Among 1432 patients, the mean grade of CPSCS was 4.