Hinson, Jeremiah S.

Epidemiology and clinical outcomes of community-acquired acute kidney injury in the emergency department: A multisite retrospective cohort study.

Citation
Ehmann MR, Klein EY, Zhao X, Mitchell J, Menez S, Smith A, Levin S, Hinson JS. Epidemiology and clinical outcomes of community-acquired acute kidney injury in the emergency department: A multisite retrospective cohort study. Am J Kidney Dis. 2024 Jun;83(6):762-771.e1. doi: 10.1053/j.ajkd.2023.10.009. Epub 2023 Dec 10. PMID: 38072210.
Principal Investigator
Hinson, Jeremiah S.
Levin, Scott R.
Project Name
Transforming Kidney Care in the Emergency Department Using Artificial Intelligence-Driven Clinical Decision Support

Artificial Intelligence Tools to Improve Provider Effectiveness and Patient Outcomes

Event Date
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Artificial intelligence (AI) consistently ranks as the most exciting emerging technology among clinicians, healthcare executives, and researchers, due to its potential to transform healthcare delivery. AI is becoming increasingly important for its potential to enhance clinician productivity, improve quality of care, and increase patients’ engagement in their own care. It also has the potential to streamline patient access to care and personalize medical treatments by leveraging analytics to mine significant, previously untapped stores of unstructured clinical data.

Renal outcomes following intravenous contrast administration in patients with acute kidney injury: A multi-site retrospective propensity-adjusted analysis.

Citation
Ehmann MR, Mitchell J, Levin S, Smith A, Menez S, Hinson JS, Klein EY. Renal outcomes following intravenous contrast administration in patients with acute kidney injury: a multi-site retrospective propensity-adjusted analysis. Intensive Care Med. 2023 Jan 30. doi: 10.1007/s00134-022-06966-w. Epub ahead of print. PMID: 36715705.
Principal Investigator
Hinson, Jeremiah S.
Levin, Scott R.
Project Name
Transforming Kidney Care in the Emergency Department Using Artificial Intelligence-Driven Clinical Decision Support

Optimal acute kidney injury algorithm for detecting acute kidney injury at emergency department presentation.

Citation
Ehmann MR, Hinson JS, Menez S, Smith A, Klein EY, Levin S. Optimal acute kidney injury algorithm for detecting acute kidney injury at emergency department presentation. Kidney Medicine. 2023 Feb: 5(2): 100588.
Principal Investigator
Hinson, Jeremiah S.
Levin, Scott R.
Project Name
Transforming Kidney Care in the Emergency Department Using Artificial Intelligence-Driven Clinical Decision Support