Establishment of a Chinese critical care database from electronic healthcare records in a tertiary care medical center.
Senjun JinLin ChenKun ChenChaozhou HuSheng'an HuZhongheng ZhangPublished in: Scientific data (2023)
The medical specialty of critical care, or intensive care, provides emergency medical care to patients suffering from life-threatening complications and injuries. The medical specialty is featured by the generation of a huge amount of high-granularity data in routine practice. Currently, these data are well archived in the hospital information system for the primary purpose of routine clinical practice. However, data scientists have noticed that in-depth mining of such big data may provide insights into the pathophysiology of underlying diseases and healthcare practices. There have been several openly accessible critical care databases being established, which have generated hundreds of scientific outputs published in scientific journals. However, such work is still in its infancy in China. China is a large country with a huge patient population, contributing to the generation of large healthcare databases in hospitals. In this data descriptor article, we report the establishment of an openly accessible critical care database generated from the hospital information system.
Keyphrases
- healthcare
- big data
- clinical practice
- artificial intelligence
- machine learning
- health information
- tertiary care
- newly diagnosed
- primary care
- end stage renal disease
- ejection fraction
- emergency medical
- chronic kidney disease
- palliative care
- adverse drug
- emergency department
- deep learning
- risk factors
- weight gain
- social media
- chronic pain
- quality improvement
- physical activity
- peritoneal dialysis