Abstract Healthcare in the United States has become increasingly digital since the passage
of the HITECH Act in 2009. As a result, there is a growing need to optimize healthcare IT to …

Abstract With Industry 4.0, big data and artificial intelligence have become paramount in the
field of medicine. Electronic health records, the primary source of medical data, are not …

Objective The primary aim of this study is to address the critical issue of non-standardized
units in clinical laboratory data, which poses significant challenges to data interoperability …

Artificial intelligence (AI) and machine learning (ML) are anticipated to transform the practice
of medicine. As one of the largest sources of digital data in healthcare, laboratory results can …

Introduction (1) Assess the harmonization of structured electronic health record data
(laboratory results and medications) to reference terminologies and characterize the severity …

Objective The objective was to identify information loss that could affect clinical care in
laboratory data transmission between 2 health care institutions via a Health Information …

Background The accuracy of Logical Observation Identifiers Names and Codes (LOINC)
mappings is reportedly low, and the LOINC codes used for research purposes in Korea have …

Objective: The objective was to identify information loss that could affect clinical care in
laboratory data transmission between 2 health care institutions via a Health Information …

Background: This study aimed to identify the specific T cell co-stimulatory and co-inhibitory
factors that play prognostic roles in patients with glioblastoma. Additionally, the unique …