Renal (Kidney) Disease | Digital Healthcare Research

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

Care Transitions App for Patients with Multiple Chronic Conditions

Description

This study will develop, evaluate, and disseminate a multicomponent intervention including a mobile health application and digital navigator training to support safe care transitions for patients with multiple chronic conditions.

Grant Number

R01 HS028007

Principal Investigator(s)

Samal, Lipika

Dykes, Patricia

Implementation of an Electronic Care Plan for People With Multiple Chronic Conditions - Final Report

Citation

RTI International. Implementation of an Electronic Care Plan for People With Chronic Conditions - Final Report. Prepared under Contract No. 75P00120F37004. AHRQ Publication No. 23-0010. Rockville, MD: Agency for Healthcare Research and Quality; November 2022.

Principal Investigator

Marcial, Laura

Project Name

Implementation of an Electronic Care Plan for People with Multiple Chronic Conditions

Transforming Kidney Care in the Emergency Department Using Artificial Intelligence-Driven Clinical Decision Support

Description

This research will develop and evaluate an artificial intelligence-driven clinical decision support system to detect and manage acute kidney injury in the emergency department.

Grant Number

R01 HS027793

Principal Investigator(s)

Hinson, Jeremiah S.

Levin, Scott R.

A factored generalized additive model for clinical decision support in the operating room.

Citation

Cui Z, Fritz BA, King CR, Avidan MS, Chen Y. A factored generalized additive model for clinical decision support in the operating room. AMIA Annu Symp Proc. 2020 Mar 4;2019:343-52. PMID 32308827.

Principal Investigator

Avidan, Michael

Project Name

Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST)

Implementation of an Electronic Care Plan for People with Multiple Chronic Conditions

Description

This research supported the testing of two interoperable Substitutable Medical Applications Reusable Technologies (SMART®) on Fast Healthcare Interoperability Resources (FHIR®) electronic care (e-care) plan applications.

Contract Number

233-2015-00024I

Principal Investigator(s)

Marcial, Laura

Physician and patient tools to improve chronic kidney disease care.

Citation

Sequist TD, Holliday AM, Orav EJ, et al. Physician and patient tools to improve chronic kidney disease care. Am J Manag Care 2018 Apr 1;24(4):e107-e114. PMID: 29668213.

Principal Investigator

Sequist, Thomas D.

Project Name

A Risk Based Approach to Improving Management of Chronic Kidney Disease

Preventing adverse events in cataract surgery: recommendations from a Massachusetts expert panel.

Citation

Nanji KC, Roberto SA, Morley MG, et al. Preventing adverse events in cataract surgery: recommendations from a Massachusetts expert panel. Anesth Analg 2017 Oct 4. doi: 10.1213/ANE.0000000000002529. [Epub ahead of print]. PMID: 28991115.

Principal Investigator

Nanji, Karen C.

Project Name

Preventing Perioperative Medication Errors and Adverse Drug Events Through the Use of Clinical Decision Support

Automated Notification for Follow-Up Testing Recommendations Across Care Settings - Final Report

Citation

Lacson R. Automated Notification for Follow-Up Testing Recommendations Across Care Settings - Final Report. (Prepared by Brigham and Women’s Hospital under Grant No. R21 HS022586). Rockville, MD: Agency for Healthcare Research and Quality, 2017.

Principal Investigator

Lacson, Ronilda

Project Name

Automated Notification for Followup Testing Recommendations Across Care Settings