Literature DB >> 28113160

Data-Driven Healthcare: Challenges and Opportunities for Interactive Visualization.

David Gotz, David Borland.   

Abstract

The healthcare industry's widespread digitization efforts are reshaping one of the largest sectors of the world's economy. This transformation is enabling systems that promise to use ever-improving data-driven evidence to help doctors make more precise diagnoses, institutions identify at risk patients for intervention, clinicians develop more personalized treatment plans, and researchers better understand medical outcomes within complex patient populations. Given the scale and complexity of the data required to achieve these goals, advanced data visualization tools have the potential to play a critical role. This article reviews a number of visualization challenges unique to the healthcare discipline.

Entities:  

Year:  2016        PMID: 28113160     DOI: 10.1109/MCG.2016.59

Source DB:  PubMed          Journal:  IEEE Comput Graph Appl        ISSN: 0272-1716            Impact factor:   2.088


  14 in total

1.  Ontology-Based Interactive Visualization of Patient-Generated Research Questions.

Authors:  David Borland; Laura Christopherson; Charles Schmitt
Journal:  Appl Clin Inform       Date:  2019-06-05       Impact factor: 2.342

2.  Evaluating visual analytics for health informatics applications: a systematic review from the American Medical Informatics Association Visual Analytics Working Group Task Force on Evaluation.

Authors:  Danny T Y Wu; Annie T Chen; John D Manning; Gal Levy-Fix; Uba Backonja; David Borland; Jesus J Caban; Dawn W Dowding; Harry Hochheiser; Vadim Kagan; Swaminathan Kandaswamy; Manish Kumar; Alexis Nunez; Eric Pan; David Gotz
Journal:  J Am Med Inform Assoc       Date:  2019-04-01       Impact factor: 4.497

3.  Best practices for data visualization: creating and evaluating a report for an evidence-based fall prevention program.

Authors:  Srijesa Khasnabish; Zoe Burns; Madeline Couch; Mary Mullin; Randall Newmark; Patricia C Dykes
Journal:  J Am Med Inform Assoc       Date:  2020-02-01       Impact factor: 4.497

4.  Usability Testing of an Interactive Dashboard for Surgical Quality Improvement in a Large Congenital Heart Center.

Authors:  Danny T Y Wu; Scott Vennemeyer; Kelly Brown; Jason Revalee; Paul Murdock; Sarah Salomone; Ashton France; Katherine Clarke-Myers; Samuel P Hanke
Journal:  Appl Clin Inform       Date:  2019-11-13       Impact factor: 2.342

5.  RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses.

Authors:  M Chen; A Abdul-Rahman; D Archambault; J Dykes; P D Ritsos; A Slingsby; T Torsney-Weir; C Turkay; B Bach; R Borgo; A Brett; H Fang; R Jianu; S Khan; R S Laramee; L Matthews; P H Nguyen; R Reeve; J C Roberts; F P Vidal; Q Wang; J Wood; K Xu
Journal:  Epidemics       Date:  2022-04-28       Impact factor: 5.324

Review 6.  [Health reporting as part of public health surveillance: the example of diabetes].

Authors:  Lukas Reitzle; Rebecca Paprott; Francesca Färber; Christin Heidemann; Christian Schmidt; Roma Thamm; Christa Scheidt-Nave; Thomas Ziese
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2020-09       Impact factor: 1.513

7.  Factors Influencing Sustained Engagement with ECG Self-Monitoring: Perspectives from Patients and Health Care Providers.

Authors:  Meghan Reading; Dawon Baik; Melissa Beauchemin; Kathleen T Hickey; Jacqueline A Merrill
Journal:  Appl Clin Inform       Date:  2018-10-10       Impact factor: 2.342

8.  Seriously ill pediatric patient, parent, and clinician perspectives on visualizing symptom data.

Authors:  Jacqueline Vaughn; Donruedee Kamkhoad; Ryan J Shaw; Sharron L Docherty; Arvind P Subramaniam; Nirmish Shah
Journal:  J Am Med Inform Assoc       Date:  2021-07-14       Impact factor: 4.497

9.  An Empirical Study of Chronic Diseases in the United States: A Visual Analytics Approach.

Authors:  Wullianallur Raghupathi; Viju Raghupathi
Journal:  Int J Environ Res Public Health       Date:  2018-03-01       Impact factor: 3.390

10.  Beyond simple charts: Design of visualizations for big health data.

Authors:  Oluwakemi Ola; Kamran Sedig
Journal:  Online J Public Health Inform       Date:  2016-12-28
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