Thomas Kannampallil

Thomas Kannampallil

Washington University in St. Louis

H-index: 28

North America-United States

About Thomas Kannampallil

Thomas Kannampallil, With an exceptional h-index of 28 and a recent h-index of 22 (since 2020), a distinguished researcher at Washington University in St. Louis, specializes in the field of Biomedical Informatics, Cognitive Modeling, Human Computer Interaction, Patient Handoffs, Medication Errors.

His recent articles reflect a diverse array of research interests and contributions to the field:

Guidance for reporting analyses of metadata on electronic health record use

Prescribing Large Language Models for Perioperative Care: What's The Right Dose for Pre-trained Models?

A perioperative mental health intervention for depressed and anxious older surgical patients: results from a feasibility study

Multimodal hierarchical multi-task deep learning framework for jointly predicting and explaining Alzheimer disease progression

National multi-institutional validation of a surgical transfusion risk prediction model

Predicting Primary Care Physician Burnout From Electronic Health Record Use Measures

Perioperative mental health intervention for depression and anxiety symptoms in older adults study protocol: design and methods for three linked randomised controlled trials

Association Between User Interaction and Treatment Response of a Voice-Based Coach for Treating Depression and Anxiety: Secondary Analysis of a Pilot Randomized Controlled Trial

Thomas Kannampallil Information

University

Position

Institute for Informatics & Dept of Anesthesiology

Citations(all)

4558

Citations(since 2020)

2952

Cited By

2241

hIndex(all)

28

hIndex(since 2020)

22

i10Index(all)

70

i10Index(since 2020)

57

Email

University Profile Page

Washington University in St. Louis

Google Scholar

View Google Scholar Profile

Thomas Kannampallil Skills & Research Interests

Biomedical Informatics

Cognitive Modeling

Human Computer Interaction

Patient Handoffs

Medication Errors

Top articles of Thomas Kannampallil

Title

Journal

Author(s)

Publication Date

Guidance for reporting analyses of metadata on electronic health record use

Journal of the American Medical Informatics Association

Adam Rule

Thomas Kannampallil

Michelle R Hribar

Adam C Dziorny

Robert Thombley

...

2024/3/1

Prescribing Large Language Models for Perioperative Care: What's The Right Dose for Pre-trained Models?

arXiv preprint arXiv:2402.17493

Bing Xue

Charles Alba

Joanna Abraham

Thomas Kannampallil

Chenyang Lu

2024/2/27

A perioperative mental health intervention for depressed and anxious older surgical patients: results from a feasibility study

The American Journal of Geriatric Psychiatry

Joanna Abraham

Katherine J Holzer

Emily M Lenard

Alicia Meng

Bethany R Tellor Pennington

...

2024/2/1

Multimodal hierarchical multi-task deep learning framework for jointly predicting and explaining Alzheimer disease progression

arXiv preprint arXiv:2404.03208

Sayantan Kumar

Sean Yu

Thomas Kannampallil

Andrew Michelson

Aristeidis Sotiras

...

2024/4/4

National multi-institutional validation of a surgical transfusion risk prediction model

Journal of the American College of Surgeons

Sunny S Lou

Yaoming Liu

Mark E Cohen

Clifford Y Ko

Bruce L Hall

...

2024/1/1

Predicting Primary Care Physician Burnout From Electronic Health Record Use Measures

Mayo Clinic Proceedings

Daniel Tawfik

Mohsen Bayati

Jessica Liu

Liem Nguyen

Amrita Sinha

...

2024/4/4

Perioperative mental health intervention for depression and anxiety symptoms in older adults study protocol: design and methods for three linked randomised controlled trials

BMJ open

Katherine J Holzer

Kimberly A Bartosiak

Ryan P Calfee

Chet W Hammill

Simon Haroutounian

...

2024/4/1

Association Between User Interaction and Treatment Response of a Voice-Based Coach for Treating Depression and Anxiety: Secondary Analysis of a Pilot Randomized Controlled Trial

JMIR Human Factors

Nan Lv

Thomas Kannampallil

Lan Xiao

Corina R Ronneberg

Vikas Kumar

...

2023/11/6

Multi-horizon predictive models for guiding extracorporeal resource allocation in critically ill COVID-19 patients

Journal of the American Medical Informatics Association

Bing Xue

Neel Shah

Hanqing Yang

Thomas Kannampallil

Philip Richard Orrin Payne

...

2023/4/1

Personalized surgical transfusion risk prediction: reply

Anesthesiology

Sunny S Lou

Troy S Wildes

Bruce L Hall

Michael S Avidan

Thomas Kannampallil

2023/1/1

Anesthesia Clinical Workload Estimated From Electronic Health Record Documentation vs Billed Relative Value Units

JAMA Network Open

Sunny S Lou

Laura R Baratta

Daphne Lew

Derek Harford

Michael S Avidan

...

2023/8/1

Explaining Longitudinal Clinical Outcomes using Domain-Knowledge driven Intermediate Concepts

Sayantan Kumar

Thomas Kannampallil

Aristeidis Sotiras

Philip Payne

2023/10/27

Associations between daily step count trajectories and clinical outcomes among adults with comorbid obesity and depression

Mental Health and Physical Activity

Emily A Kringle

Danielle Tucker

Yichao Wu

Nan Lv

Thomas Kannampallil

...

2023/3/1

Using electronic health record audit log data for research: insights from early efforts

Journal of the American Medical Informatics Association

Thomas Kannampallil

Julia Adler-Milstein

2023/1/1

Mediating effects of neural targets on depression, weight, and anxiety outcomes of an integrated collaborative care intervention: the engage-2 mechanistic pilot randomized …

Biological Psychiatry Global Open Science

Nan Lv

Olusola A Ajilore

Lan Xiao

Elizabeth M Venditti

Philip W Lavori

...

2023/7/1

Characterizing the Patterns of Electronic Health Record–Integrated Secure Messaging Use: Cross-Sectional Study

Journal of medical Internet research

Laura R Baratta

Derek Harford

Christine A Sinsky

Thomas Kannampallil

Sunny S Lou

2023/10/6

Characterizing the macrostructure of electronic health record work using raw audit logs: an unsupervised action embeddings approach

Journal of the American Medical Informatics Association

Sunny S Lou

Hanyang Liu

Derek Harford

Chenyang Lu

Thomas Kannampallil

2023/3/1

Effects of a virtual voice-based coach delivering problem-solving treatment on emotional distress and brain function: a pilot RCT in depression and anxiety

Translational psychiatry

Thomas Kannampallil

Olusola A Ajilore

Nan Lv

Joshua M Smyth

Nancy E Wittels

...

2023/5/12

Identifying and Addressing Barriers to Implementing Core EHR Use Metrics for Ambulatory Care: Virtual Consensus Conference Proceedings.

Applied Clinical Informatics

Deborah R Levy

Amanda Moy

Nate Apathy

Julia Adler-Milstein

Lisa Rotenstein

...

2023/10/6

Correction: Effects of a virtual voice-based coach delivering problem-solving treatment on emotional distress and brain function: a pilot RCT in depression and anxiety

Translational psychiatry

Thomas Kannampallil

Olusola A Ajilore

Nan Lv

Joshua M Smyth

Nancy E Wittels

...

2023

See List of Professors in Thomas Kannampallil University(Washington University in St. Louis)

Co-Authors

H-index: 77
Chenyang Lu

Chenyang Lu

Washington University in St. Louis

H-index: 73
Michael Avidan

Michael Avidan

Washington University in St. Louis

H-index: 71
eric lenze

eric lenze

Washington University in St. Louis

H-index: 44
David Kaufman

David Kaufman

SUNY Downstate Medical Center

H-index: 42
Jun Ma

Jun Ma

University of Illinois at Chicago

H-index: 35
Wai-Tat Fu

Wai-Tat Fu

University of Illinois at Urbana-Champaign

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