Critical care, critical data

CV Cosgriff, LA Celi, DJ Stone - Biomedical engineering and …, 2019 - journals.sagepub.com
As big data, machine learning, and artificial intelligence continue to penetrate into and
transform many facets of our lives, we are witnessing the emergence of these powerful …

[HTML][HTML] Possible sources of bias in primary care electronic health record data use and reuse

RA Verheij, V Curcin, BC Delaney… - Journal of medical Internet …, 2018 - jmir.org
Background Enormous amounts of data are recorded routinely in health care as part of the
care process, primarily for managing individual patient care. There are significant …

[HTML][HTML] Big data health care platform with multisource heterogeneous data integration and massive high-dimensional data governance for large hospitals: design …

M Wang, S Li, T Zheng, N Li, Q Shi… - JMIR Medical …, 2022 - medinform.jmir.org
Background With the advent of data-intensive science, a full integration of big data science
and health care will bring a cross-field revolution to the medical community in China. The …

[HTML][HTML] Transformation and evaluation of the MIMIC database in the OMOP common data model: development and usability study

N Paris, A Lamer, A Parrot - JMIR Medical Informatics, 2021 - medinform.jmir.org
Background In the era of big data, the intensive care unit (ICU) is likely to benefit from real-
time computer analysis and modeling based on close patient monitoring and electronic …

Comparing the performance of Charlson and Elixhauser comorbidity indices to predict in-hospital mortality among a Chinese population

M Cai, E Liu, R Zhang, X Lin, SE Rigdon… - Clinical …, 2020 - Taylor & Francis
Objective Earlier comorbidity measures have been developed or validated using the North
American population. This study aims to compare five Charlson or Elixhauser comorbidity …

Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative study

K Ni, H Chu, L Zeng, N Li, Y Zhao - BMJ open, 2019 - bmjopen.bmj.com
Objectives There is an increasing trend in the use of electronic health records (EHRs) for
clinical research. However, more knowledge is needed on how to assure and improve data …

[HTML][HTML] MIT COVID-19 Datathon: data without boundaries

EM Luo, S Newman, M Amat, ML Charpignon… - BMJ …, 2021 - ncbi.nlm.nih.gov
Twitter Eva M Luo@ EvaMLuo Publisher's Disclaimer: Map disclaimer The depiction of
boundaries on the map (s) in this article do not imply the expression of any opinion …

Artificial intelligence algorithm with ICD coding technology guided by embedded electronic medical record system in medical record information management

C Wang, C Yao, P Chen, J Shi, Z Gu, Z Zhou - Microprocessors and …, 2023 - Elsevier
Objective The study aims to discuss the coding technology of international classification of
diseases (ICD) and the application of embedded electronic medical record (EMR) system …

[HTML][HTML] Adoption of an electronic patient record sharing pilot project: cross-sectional survey

J Wang, J Huang, CSK Cheung, WN Wong… - Journal of Medical …, 2020 - jmir.org
Background The Public Private Interface–Electronic Patient Record (PPI-ePR) system was
implemented as a new electronic platform to facilitate collaboration between the public and …

Acute kidney injury in hospitalized patients with nonmalignant pleural effusions: a retrospective cohort study

D Wang, Y Niu, D Chen, C Li, F Liu, Z Feng, X Cao… - BMC nephrology, 2024 - Springer
Background Nonmalignant pleural effusion (NMPE) is common and remains a definite
health care problem. Pleural effusion was supposed to be a risk factor for acute kidney injury …