2021 | ||
Sunday, December 12th | ||
---|---|---|
A Bayesian Optimal Stopping Framework for Traumatic Brain Injuries Patients Gleb Zavadskiy, University of South Florida
|
||
12:00 AM |
Aihua Yan, City University of Hong Kong
|
|
12:00 AM |
Artificial Intelligence in Radiology – A Qualitative Study on Imaging Specialists’ Perspectives Christoph Buck, Queensland University of Technology
|
|
12:00 AM |
Assessing Ambulatory HIT Spillover Effects on Hospital Inpatient Costs Ankita Srivastava, Oklahoma State University
|
|
12:00 AM |
Channel Integration Services in Online Healthcare Communities Anqi Zhao, Singapore Management University
|
|
12:00 AM |
COVID-19 Infection Tracing with Mobile Apps: Acceptance and Privacy Concerns Marius Arved Fortagne, University of Bayreuth
|
|
12:00 AM |
Disrupting Viral Transmission by Facilitating Guided Self-Regulation Jeffrey Sweeney, Rotterdam School of Management Erasmus University
|
|
12:00 AM |
Shujing Sun, University of Texas at Dallas
|
|
12:00 AM |
yiqing li, Zhejiang University
|
|
12:00 AM |
Feedback Messages During Goal Pursuit: The Dynamic Impact on mHealth Use Monica Fallon, University of Mannheim
|
|
12:00 AM |
Health Information Systems: Potential Users balancing Adaptive and Maladaptive Appraisals Tanja Sophie Gesk, University of Rostock
|
|
12:00 AM |
Soham Ghosh, Indian Institute of Management (IIM), Calcutta
|
|
12:00 AM |
Interpretable Predictive Models for Healthcare via Rational Logistic Regression Thiti Suttaket, National University of Singapore
|
|
12:00 AM |
Motion Sensor-Based Health Profiling for Parkinson’s Disease: A Deep Learning Approach Shuo Yu, Texas Tech University
|
|
12:00 AM |
Wen Wang, Carnegie Mellon University
|
|
12:00 AM |
Online Stress Management Interventions: The Role of Application Features Katharina Pflügner, University of Bamberg
|
|
12:00 AM |
Patient Portals Facilitating EHR Error Discovery and Reporting Mohammad Rahimi, Temple University
|
|
12:00 AM |
Seongho Eun, KAIST College of Business
|
|
12:00 AM |
Prescriptive Analytics in ART: Precision Medication through Preference Learning Cong Wang, Peking University
|
|
12:00 AM |
Role of Telehealth Adoption in Shaping Perceived Quality of Care: Empirical Analysis Yu-Wei Lin, University of Illinois at Urbana - Champaign
|
|
12:00 AM |
Smart Pay-As-You-Live Services in Healthcare: A Balance Theory Perspective Farkhondeh Hassandoust, Auckland University of Technology
|
|
12:00 AM |
Using Clinical Pathways To Virtual Coach Patients For Home Rehabilitation Kai Gand, Technische Universität Dresden
|
|
12:00 AM |
Adegboyega Ojo, Maynooth University
|
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