Meeta Prasad Kerlin

About

Meeta Prasad Kerlin, MD, MSCE, is an Associate Professor of Medicine in the Department of Medicine (Pulmonary, Allergy and Critical Care) at the Hospital of the University of Pennsylvania. She also serves as an Associate Scholar at the Center for Clinical Epidemiology and Biostatistics and is the Vice Chair for Faculty Development in the Department of Medicine at the Perelman School of Medicine at the University of Pennsylvania. Dr. Kerlin's clinical interests are primarily in critical care, including the management of respiratory failure and sepsis, and she serves as an attending physician in the Medical Intensive Care Unit and on the Critical Care Outreach and Procedure Service of the Hospital of the University of Pennsylvania. Her research focuses on the intersection between medical education, organizational structure, and patient outcomes in intensive care units, with active projects evaluating physician staffing models and the role of physician factors in patient outcomes among patients with acute respiratory failure.

Research topics

• Medicine
• Emergency medicine
• Intensive care medicine
• Nursing
• Medical emergency

Selected publications

• Burnout and Joy in the Profession of Critical Care Medicine

  Critical Care · 2020-03-24 · 123 citations

  reviewOpen access1st author

  This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2020. Other selected articles can be found online at https://www.biomedcentral.com/collections/annualupdate2020. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http://www.springer.com/series/8901.

  PublisherOA PDFDOI

• Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation

  The Lancet Digital Health · 2021-04-21 · 80 citations

  articleOpen access

  BACKGROUND: Acute respiratory distress syndrome (ARDS) is a common, but under-recognised, critical illness syndrome associated with high mortality. An important factor in its under-recognition is the variability in chest radiograph interpretation for ARDS. We sought to train a deep convolutional neural network (CNN) to detect ARDS findings on chest radiographs. METHODS: CNNs were pretrained on 595 506 radiographs from two centres to identify common chest findings (eg, opacity and effusion), and…

  PublisherDOI

• Actions Taken by US Hospitals to Prepare for Increased Demand for Intensive Care During the First Wave of COVID-19

  CHEST Journal · 2021-03-11 · 70 citations

  articleOpen access1st authorCorresponding

  BackgroundThe COVID-19 pandemic placed considerable strain on critical care resources. How US hospitals responded to this crisis is unknown.Research QuestionWhat actions did US hospitals take to prepare for a potential surge in demand for critical care services in the context of the COVID-19 pandemic?Study Design and MethodsFrom September to November 2020, the chief nursing officers of a representative sample of US hospitals were surveyed regarding organizational actions taken to increase or mai…

  PublisherOA PDFDOI

• The Complete Inpatient Record Using Comprehensive Electronic Data (<scp>CIRCE</scp>) project: A team‐based approach to clinically validated, research‐ready electronic health record data

  Learning Health Systems · 2024-06-18 · 6 citations

  articleOpen access

  Abstract Introduction The rapid adoption of electronic health record (EHR) systems has resulted in extensive archives of data relevant to clinical research, hospital operations, and the development of learning health systems. However, EHR data are not frequently available, cleaned, standardized, validated, and ready for use by stakeholders. We describe an in‐progress effort to overcome these challenges with cooperative, systematic data extraction and validation. Methods A multi‐disciplinary team…

  PublisherOA PDFDOI

• Lung Donation and Transplant Recipient Outcomes at Independent vs Hospital-Based Donor Care Units

  JAMA Network Open · 2024-06-25 · 5 citations

  articleOpen access

  Importance: Centralizing deceased organ donor management and organ recovery into donor care units (DCUs) may mitigate the critical organ shortage by positively impacting donation and recipient outcomes. Objective: To compare donation and lung transplant outcomes between 2 common DCU models: independent (outside of acute-care hospitals) and hospital-based. Design, Setting, and Participants: This is a retrospective cohort study of Organ Procurement and Transplantation Network deceased donor regist…

  PublisherOA PDFDOI

Recent grants

• The role of physician experience in outcomes of patients with acute respiratory f

  NIH · $741k · 2013–2018

Frequent coauthors

• Scott D. Halpern

  University of Pennsylvania

  93 shared

• Rachel Kohn

  University of Pennsylvania

  36 shared

• Gary E. Weissman

  California University of Pennsylvania

  28 shared

• Kelly C. Vranas

  Oregon Health & Science University

  28 shared

• C. Jessica Dine

  University of Pennsylvania

  25 shared

• Mark E. Mikkelsen

  Weill Cornell Medicine

  24 shared

• Michael O. Harhay

  19 shared

• Stephanie Maillie

  Hospital of the University of Pennsylvania

  18 shared

Similar researchers at University of Pennsylvania

• John Q. Trojanowskih-296
• Craig B. Thompsonh-277
• Daniel J Raderh-236