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Engineering and Technology

D-Index
43
Citations
6481
World Ranking
6252
National Ranking
1727

Overview

Peter J. Haug is affiliated with the University of Utah in the United States. Their research spans several fields of study including Medicine, Health Professions, and Biochemistry, Genetics and Molecular Biology. Within these areas, subfields of particular focus are Health Information Management, Molecular Biology, Artificial Intelligence, Epidemiology, and Information Systems and Management.

The main topics covered by their work include Electronic Health Records Systems, Biomedical Text Mining and Ontologies, Machine Learning in Healthcare, Scientific Computing and Data Management, Semantic Web and Ontologies, Health Systems, Economic Evaluations, Quality of Life, and Research Data Management Practices.

Recent published papers by Peter J. Haug include the following:

  • "Contemporary clinical decision support standards using Health Level Seven International Fast Healthcare Interoperability Resources," 2021, Journal of the American Medical Informatics Association
  • "Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions," 2020, Journal of the American Medical Informatics Association
  • "Categorizing metadata to help mobilize computable biomedical knowledge," 2021, Learning Health Systems
  • "Optimization of sepsis therapy based on patient-specific digital precision diagnostics using next generation sequencing (DigiSep-Trial)-study protocol for a randomized, controlled, interventional, open-label, multicenter trial," 2021, Trials
  • "Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy," 2022, Journal of the American Medical Informatics Association

Frequent publication venues for Peter J. Haug include:

  • Journal of the American Medical Informatics Association
  • Learning Health Systems
  • Trials
  • Journal of Thoracic Imaging
  • Journal of the American College of Emergency Physicians Open

Collaborative work is evident with frequent co-authors such as Robert A. Jenders, Stanley M. Huff, Bryn Rhodes, Guilherme Del Fiol, and Kensaku Kawamoto.

Best Publications

  • Forecasting daily patient volumes in the emergency department.

    Spencer S. Jones;Alun Thomas;R. Scott Evans;R. Scott Evans;Shari J. Welch

  • Automatic Detection of Acute Bacterial Pneumonia from Chest X-ray Reports

    M Fiszman;W W Chapman;D Aronsky;R S Evans

  • Natural language processing to extract medical problems from electronic clinical documents: Performance evaluation

    Stéphane Meystre;Peter J. Haug

  • Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data

    Susan Rea;Jyotishman Pathak;Guergana Savova;Thomas A. Oniki

  • The Arden Syntax for Medical Logic Modules.

    Hripcsak G;Clayton Pd;Pryor Ta;Haug P

  • Classifying free-text triage chief complaints into syndromic categories with natural languages processing

    Wendy W. Chapman;Lee M. Christensen;Michael M. Wagner;Peter J. Haug

  • A multivariate time series approach to modeling and forecasting demand in the emergency department

    Spencer S. Jones;R. Scott Evans;Todd L. Allen;Alun Thomas

  • An Event Model of Medical Information Representation

    Stanley M. Huff;Roberto A. Rocha;Bruce E. Bray;Homer R. Warner

  • Exploiting missing clinical data in Bayesian network modeling for predicting medical problems

    Jau-Huei Lin;Peter J. Haug

  • Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium

    Jyotishman D Pathak;Kent R Bailey;Calvin E. Beebe;Steven Bethard

  • Computerized extraction of coded findings from free-text radiologic reports. Work in progress.

    P J Haug;D L Ranum;P R Frederick

  • Building a comprehensive clinical information system from components. The approach at Intermountain Health Care.

    Paul D. Clayton;S. P. Narus;S. M. Huff;T. A. Pryor

  • Decision support in medicine: examples from the HELP system

    Peter J. Haug;Reed M. Gardner;Karen E. Tate;R. Scott Evans

  • MPLUS: a probabilistic medical language understanding system

    Lee Christensen;Peter Haug;Marcelo Fiszman

  • ILIAD as an Expert Consultant to Teach Differential Diagnosis

    Homer R. Warner;Peter Haug;Omar Bouhaddou;Michael Lincoln

  • A Comparison of Classification Algorithms to Automatically Identify Chest X-Ray Reports That Support Pneumonia

    Wendy Webber Chapman;Marcelo Fizman;Brian E Chapman;Peter J Haug

  • Automation of a problem list using natural language processing.

    Stéphane M. Meystre;Peter J. Haug

  • Experience with a mixed semantic/syntactic parser.

    P. J. Haug;S. Koehler;L. M. Lau;P. Wang

  • Assessing the quality of clinical data in a computer-based record for calculating the pneumonia severity index.

    Dominik Aronsky;Peter J. Haug

  • Effectiveness of topic-specific infobuttons: a randomized controlled trial

    Guilherme Del Fiol;Guilherme Del Fiol;Peter J. Haug;Peter J. Haug;James J. Cimino;Scott P. Narus

Frequent Co-Authors

Stanley M. Huff
Stanley M. Huff University of Utah
Wendy W. Chapman
Wendy W. Chapman University of Melbourne
Michael Wagner
Michael Wagner TU Dresden
Robert A. Greenes
Robert A. Greenes Arizona State University
Gregory F. Cooper
Gregory F. Cooper University of Pittsburgh
Randall W. Burt
Randall W. Burt University of Utah
Lisa A. Cannon-Albright
Lisa A. Cannon-Albright University of Utah
Christopher G. Chute
Christopher G. Chute Johns Hopkins University
Jyotishman Pathak
Jyotishman Pathak Cornell University
Hongfang Liu
Hongfang Liu The University of Texas Health Science Center at Houston

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