Literature DB >> 29177250

A Visual Analytics Approach to Understanding Care Process Variation and Conformance.

Rahul C Basole1, Hyunwoo Park2, Mayank Gupta3, Mark L Braunstein1, Duen Horng Chau4, Michael Thompson5.   

Abstract

With greater pressures of providing high-quality care at lower cost due to a changing financial and policy environment, the ability to understand variations in care delivery and associated outcomes and act upon this understanding is of critical importance. Building on prior work in visualizing health-care event sequences and in collaboration with our clinical partner, we describe our process in developing a multiple, coordinated visualization system that helps identify and analyze care processes and their conformance to existing care guidelines. We demonstrate our system using data of 5,784 pediatric emergency department visits over a 13-month period for which asthma was the primary diagnosis.

Entities:  

Keywords:  Visual analytics; conformance; health informatics; information visualization; pediatric emergency medicine; visual process mining

Year:  2015        PMID: 29177250      PMCID: PMC5699230          DOI: 10.1145/2836034.2836040

Source DB:  PubMed          Journal:  Proc 2015 Workshop Vis Anal Healthc (2015)


  3 in total

1.  Supporting Iterative Cohort Construction with Visual Temporal Queries.

Authors:  Josua Krause; Adam Perer; Harry Stavropoulos
Journal:  IEEE Trans Vis Comput Graph       Date:  2016-01       Impact factor: 4.579

2.  Visual analytics in healthcare--opportunities and research challenges.

Authors:  Jesus J Caban; David Gotz
Journal:  J Am Med Inform Assoc       Date:  2015-03       Impact factor: 4.497

3.  Understanding variations in pediatric asthma care processes in the emergency department using visual analytics.

Authors:  Rahul C Basole; Mark L Braunstein; Vikas Kumar; Hyunwoo Park; Minsuk Kahng; Duen Horng Polo Chau; Acar Tamersoy; Daniel A Hirsh; Nicoleta Serban; James Bost; Burton Lesnick; Beth L Schissel; Michael Thompson
Journal:  J Am Med Inform Assoc       Date:  2015-02-05       Impact factor: 4.497

  3 in total
  3 in total

1.  Visualization of aggregate perioperative data improves anesthesia case planning: A randomized, cross-over trial.

Authors:  Jonathan P Wanderer; Thomas A Lasko; Joseph R Coco; Leslie C Fowler; Matthew D McEvoy; Xiaoke Feng; Matthew S Shotwell; Gen Li; Brian J Gelfand; Laurie L Novak; David A Owens; Daniel V Fabbri
Journal:  J Clin Anesth       Date:  2020-11-01       Impact factor: 9.452

Review 2.  Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review.

Authors:  Jawad Ahmed Chishtie; Jean-Sebastien Marchand; Luke A Turcotte; Iwona Anna Bielska; Jessica Babineau; Monica Cepoiu-Martin; Michael Irvine; Sarah Munce; Sally Abudiab; Marko Bjelica; Saima Hossain; Muhammad Imran; Tara Jeji; Susan Jaglal
Journal:  J Med Internet Res       Date:  2020-12-03       Impact factor: 5.428

Review 3.  Interactive Visualization Applications in Population Health and Health Services Research: Systematic Scoping Review.

Authors:  Jawad Chishtie; Iwona Anna Bielska; Aldo Barrera; Jean-Sebastien Marchand; Muhammad Imran; Syed Farhan Ali Tirmizi; Luke A Turcotte; Sarah Munce; John Shepherd; Arrani Senthinathan; Monica Cepoiu-Martin; Michael Irvine; Jessica Babineau; Sally Abudiab; Marko Bjelica; Christopher Collins; B Catharine Craven; Sara Guilcher; Tara Jeji; Parisa Naraei; Susan Jaglal
Journal:  J Med Internet Res       Date:  2022-02-18       Impact factor: 7.076

  3 in total

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