An Early Warning System for the Differential Diagnosis of In-Hospital Acute Kidney Injury for Better Patient Outcome: Study of a Quality Improvement Initiative.
Ming-Ju WuShih-Che HuangCheng-Hsu ChenChing-Yao ChengShang-Feng TsaiPublished in: International journal of environmental research and public health (2022)
Through well-designed AKI-EWS, the incidence of AKI dropped, showing improved outcomes. The factors affecting benefits from AKI-EWS included high-risk identification (individual threshold detection), timely and automatic diagnosis, real-time alerting on electronic health information systems, fast self-diagnosing of the cause of AKI, and coverage of all inpatients.
Keyphrases
- acute kidney injury
- health information
- cardiac surgery
- social media
- healthcare
- risk factors
- machine learning
- quality improvement
- case report
- deep learning
- type diabetes
- emergency department
- metabolic syndrome
- loop mediated isothermal amplification
- adipose tissue
- weight loss
- label free
- sensitive detection
- electronic health record
- neural network