Acute kidney injury (AKI) is a common disease, but diagnosis is usually delayed or missed in hospitalized patients. The automated electronic alert for AKI may help to improve the outcomes of these patients through identifying all cases of AKI early. Therefore, the investigators conduct a randomly controlled study to test whether automated electronic alert for AKI could improve the outcomes of hospitalized patients.
Acute kidney injury (AKI) is a common disease, but diagnosis is usually delayed or missed in hospitalized patients. The automated electronic alert for AKI may help to improve the outcomes of these patients through identifying all cases of AKI early. Therefore, the investigators conduct a randomly controlled study to test whether automated electronic alert for AKI could improve the outcomes of hospitalized patients.
The patients were randomly divided into two groups:
Usual care : patients will receive standard clinical care by the primary physicians AKI alert : an AKI alert will be sent to the doctor in charge. The team of kidney experts would give a suggestion if the doctor in charge need a renal consultation.
Condition | Renal Failure, Acute renal failure, Early Diagnosis, Outcomes, Kidney Failure (Pediatric), Kidney Failure, acute kidney injury, acute kidney injuries, early detection, diagnose early, diagnosis early |
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Treatment | Usual Care, AKI alert |
Clinical Study Identifier | NCT03736304 |
Sponsor | The First Affiliated Hospital with Nanjing Medical University |
Last Modified on | 24 January 2021 |
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