IS and Healthcare

Track Description
Health information systems (HIS) are a broad class of applications that use a variety of advanced information, mobile, social media and wearable technologies to collect, store, manage, process and transmit health information. HIS can aid many interdependent stakeholders, such as patients, care providers, payers, policymakers, technology vendors, platform creators, and researchers. Digitization enabled through HIS has the potential to deliver better, cost-efficient and patient-centric healthcare through widespread sharing of authorized data, process transformation and proactive involvement by patients to sustain their own well-being. There is early evidence that HIS, in isolation and in combination, impact care provision and administrative processes, enhance care quality, reduce healthcare costs and facilitate information sharing across organizational boundaries. However, more research is needed to examine the role of information technologies in a variety of care settings, with the move toward value-based care and developing a better understanding of the impact of regulatory changes, such as system interoperability, information blocking, population health, accountable care, and telehealth adoption. Further, the global pandemic due to the widespread outbreak of COVID-19 has upended traditional healthcare systems and care delivery processes, and has led to greater adoption of new types of payment models and technology adoption. National and regional governments worldwide have introduced several initiatives around technology use, data integration, privacy, payment models and access to care, and the commercial sector has launched several innovations in the consumer sector, which make it easier to track and consolidate individual-level data. Increasing standardization in the healthcare industry and the widespread use of HIS among health care providers, payers and consumers have enabled the creation of large datasets, which lend themselves well to predictive modeling.

This track provides a forum for presenting and discussing original research highlighting the opportunities and challenges related to the role of IT in delivering 21st century healthcare. We invite qualitative, quantitative, analytical, computational, data-science, conceptual, and design science-oriented submissions that leverage the multiple perspectives of information systems in the healthcare sector.

Track Chairs:
Aaron Baird, Georgia State University
Indranil Bardhan, The University of Texas at Austin
Abhay Mishra, Iowa State University
Monica Chiarini Tremblay, William & Mary

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Sunday, December 12th

A Bayesian Optimal Stopping Framework for Traumatic Brain Injuries Patients

Gleb Zavadskiy, University of South Florida
Daniel Zantedeschi, University of South Florida
Wolfgang Jank, University of South Florida

AI for Depression Treatment: Addressing the Paradox of Privacy and Trust with Empathy, Accountability, and Explainability

Aihua Yan, City University of Hong Kong
David Xu, Department of Information Systems, City University of Hong Kong

Artificial Intelligence in Radiology – A Qualitative Study on Imaging Specialists’ Perspectives

Christoph Buck, Queensland University of Technology
Jasmin Hennrich, University of Bayreuth
Anna Lina Kauffmann, FIM Research Center, University of Bayreuth Project Group Business & Information Systems Engineering of the Fraunhofer FIT

Assessing Ambulatory HIT Spillover Effects on Hospital Inpatient Costs

Ankita Srivastava, Oklahoma State University
Chenzhang Bao, Oklahoma State University
Dursun Delen, Oklahoma State University

Channel Integration Services in Online Healthcare Communities

Anqi Zhao, Singapore Management University
Qian Tang, Singapore Management University

COVID-19 Infection Tracing with Mobile Apps: Acceptance and Privacy Concerns

Marius Arved Fortagne, University of Bayreuth
Riccardo Reith, University of Bayreuth
Soeren Diel, University of Bayreuth
Christoph Buck, University of Bayreuth
Torsten Eymann, FIM Research Center
Bettina Lis, University of Bayreuth

Disrupting Viral Transmission by Facilitating Guided Self-Regulation

Jeffrey Sweeney, Rotterdam School of Management Erasmus University
Peter Vervest, Rotterdam School of Management, Erasmus University

Does Telehealth Reduce Rural-Urban Care Access Disparities? Evidence from Covid-19 Telehealth Expansion

Shujing Sun, University of Texas at Dallas
Guihua Wang, UT Dallas

Exploring the Effects of Leader’s Actions on Patients’ Continuous Engagement in Team-based Teleconsultation

yiqing li, Zhejiang University
Yu Tong, Zhejiang University

Feedback Messages During Goal Pursuit: The Dynamic Impact on mHealth Use

Monica Fallon, University of Mannheim
Konstantin Schmidt, University of Mannheim
Okan Aydinguel, University of Mannheim
Armin Heinzl, University of Mannheim

Health Information Systems: Potential Users balancing Adaptive and Maladaptive Appraisals

Tanja Sophie Gesk, University of Rostock
Johannes Wichmann, University of Rostock
Michael Leyer, University of Rostock

Information Gap in Physician Review Websites: A Comparative Study of Patient Expectations and Available Information

Soham Ghosh, Indian Institute of Management (IIM), Calcutta
Soumyakanti Chakraborty, Indian Institute of Management
Narain Gupta, Management Development Institute (MDI), Gurgaon
Sumanta Basu, Indian Institute of Management Calcutta

Interpretable Predictive Models for Healthcare via Rational Logistic Regression

Thiti Suttaket, National University of Singapore
L Vivek Harsha Vardhan, National University of Singapore
Stanley Kok, National University of Singapore

Motion Sensor-Based Health Profiling for Parkinson’s Disease: A Deep Learning Approach

Shuo Yu, Texas Tech University

Nudge to Refill? Modeling Consumer Health Risk with Graph Convolutional Networks for Online Pharmaceutical Targeting

Wen Wang, Carnegie Mellon University
Xueming Luo, Temple University
Beibei Li, Carnegie Mellon University
Haizhong Wang, Sun Yat-sen University

Online Stress Management Interventions: The Role of Application Features

Katharina Pflügner, University of Bamberg
Christian Maier, University of Bamberg
Maren Hielscher, University of Bamberg
Tim Weitzel, University of Bamberg

Patient Portals Facilitating EHR Error Discovery and Reporting

Mohammad Rahimi, Temple University
Sezgin Ayabakan, Temple University
Kevin B. Mahoney, University of Pennsylvania Health System

Personalized Treatment Using Biologics: An Analysis Using Counterfactual Regression Based on Deep Learning

Seongho Eun, KAIST College of Business
Bon San Koo, Inje University Seoul Paik Hospital
Ji Seon Oh, Asan Medical Center
Kee-Eung Kim, KAIST
Byungtae Lee, KAIST College of Business

Prescriptive Analytics in ART: Precision Medication through Preference Learning

Cong Wang, Peking University
Yingfei Wang, University of Washington

Role of Telehealth Adoption in Shaping Perceived Quality of Care: Empirical Analysis

Yu-Wei Lin, University of Illinois at Urbana - Champaign
Anton Ivanov, University of Illinois at Urbana - Champaign
Hsin-Lu Chang, National Chengchi University
Michael J Shaw, University of Illinois at Urbana - Champaign

Smart Pay-As-You-Live Services in Healthcare: A Balance Theory Perspective

Farkhondeh Hassandoust, Auckland University of Technology
Allen Johnston, University of Alabama
Tripti Singh, The University of Alabama

Using Clinical Pathways To Virtual Coach Patients For Home Rehabilitation

Kai Gand, Technische Universität Dresden
Jeannette Stark, Technische Universität Dresden
Hannes Schlieter, Technische Universität Dresden
Carola Gißke, Technische Universität Dresden
Martin Burwitz, Technische Universität Dresden

What matters most to patients? On the Core Determinants of Patient Experience from Free Text Feedback

Adegboyega Ojo, Maynooth University
Nina Rizun, Gdansk University of Technology