Can Real‐World Data From Hospital Information Systems Be Directly Utilized for Efficacy Studies: An Analysis of Data Time Points
Year: 2025
Type: article
Abstract: BACKGROUND: Data from Hospital Information Systems are crucial components of real-world data, but concerns arise regarding the transparency of measurement time-points when directly utilizing for efficacy studies. The objective of the study was to analyze the distribution characteristics of time-points for laboratory test records from HIS. METHOD: Medical records before December 31, 2019 from Affiliated Hospital of Shandong University of Traditional Chinese Medicine, for patients primarily diagnosed with coronary heart disease (CHD), or heart failure combined with secondary diagnosis of CHD were retrieved from HIS. Fifteen test groups were extracted. The number of records, average of test times, and distribution characteristics of time points were analyzed. RESULTS: The renal function tests have the most records, and the blood glucose have the most times. Tests time-points distribution showed concentration in the early stage of hospitalization, with the majority occurring within the first 0-10%. For those measured ≥2 times, their first tests are also centrally distributed in the early stage, while the lasts in all period of hospitalization. Besides, substantial difference is showed in the time span of the first and last test. Abnormal value may be a trigger that promotes more intensive examination, and normal or abnormal status of the first examination is significantly weak to moderate correlated with the number of examinations and time span. DISCUSSION: The disclosure of time-points of clinical studies based on HIS should be encouraged and the pre-survey of data measuring time point is essential to the design of trial.
DOI: 10.1111/jebm.70079
Authors: Jiaying Luo, Aomeng Zhang, Wulin Gao, Xiangwei Bu, Runming Li, Zehui Ye, Xinyi Zhang, Lili Ren, Yin Jiang, Zhiyue Guan, Hui Guan, Liyuan Tao, Guohua Dai, Chen Zhao, Hongcai Shang
Institutions: China Academy of Chinese Medical Sciences, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Guang’anmen Hospital, Beijing University of Chinese Medicine, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Peking University Third Hospital
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $2,550
Awards: G1925938741, G4416412919
OpenAlex ID: W4415268724
