scholarly journals Health Information Technology Investments, Patient Experience, and Hospital Bad Debt

Author(s):  
Yangmei Wang ◽  
Tiankai Wang ◽  
Kirsten Cook

In this study, we examine the effect of health information technology (HIT) investments on hospital bad debt via improved patient experience. Using data from California Hospital Reports and Definitive Healthcare, we first predict and find that HIT investments decrease hospital bad debt. Next, following Baron and Kenny's (1986) approach and the bootstrap approach of Zhao, Kynch, and Chen (2010), we study whether patient experience mediates the relationship between HIT investments and hospital bad debt. We find that HIT improves patient experience which, in turn, reduces bad debt at hospitals. Taken together, our findings provide evidence that patient experience is important as a means to affect the relationship between HIT investments and hospital bad debt.

2020 ◽  
Vol 27 (4) ◽  
pp. 647-651 ◽  
Author(s):  
Teresa Zayas-Cabán ◽  
Amy P Abernethy ◽  
Patricia Flatley Brennan ◽  
Stephanie Devaney ◽  
Anthony R Kerlavage ◽  
...  

Abstract Ensuring that federally funded health research keeps pace with the explosion of health data depends on better information technology (IT), access to high-quality electronic health data, and supportive policies. Because it prominently funds and conducts health research, the U.S. federal government needs health IT to rapidly evolve and has the ability to drive that evolution. The Office of the National Coordinator for Health Information Technology developed the National Health IT Priorities for Research: A Policy and Development Agenda (the Agenda) that identifies health IT priorities for research in consultation with relevant federal agencies. This article describes support for the Agenda from the Food and Drug Administration, the National Institutes of Health, and the Veterans Health Administration. Advancing the Agenda will benefit these agencies and support their missions as well as the entire ecosystem leveraging the health IT infrastructure or using data from health IT systems for research.


2012 ◽  
pp. 168-185
Author(s):  
Evangelos Katsamakas ◽  
Balaji Janamanchi ◽  
Wullianallur Raghupathi ◽  
Wei Gao

This chapter discusses the growth of open source software projects in healthcare. It proposes a research framework that examines the roles of project sponsorship, license type, development status and technological complements in the success of open source health information technology (HIT) projects, and it develops a systematic method for classifying projects based on their success potential. Using data from Sourceforge, an open source software development portal, we find that although project sponsorship and license restrictiveness influence project metrics, they are not significant predictors of project success categorization. On the other hand, development status, operating system, and programming language are significant predictors of an OSS project’s success categorization. We discuss research and application implications and suggest future research directions.


2019 ◽  
Vol 6 (2) ◽  
pp. 28-34
Author(s):  
Cynthia J Sieck ◽  
Daniel M Walker ◽  
Megan Gregory ◽  
Naleef Fareed ◽  
Jennifer L Hefner

Author(s):  
Evangelos Katsamakas ◽  
Balaji Janamanchi ◽  
Wullianallur Raghupathi ◽  
Wei Gao

This chapter discusses the growth of open source software projects in healthcare. It proposes a research framework that examines the roles of project sponsorship, license type, development status and technological complements in the success of open source health information technology (HIT) projects, and it develops a systematic method for classifying projects based on their success potential. Using data from Sourceforge, an open source software development portal, we find that although project sponsorship and license restrictiveness influence project metrics, they are not significant predictors of project success categorization. On the other hand, development status, operating system, and programming language are significant predictors of an OSS project’s success categorization. We discuss research and application implications and suggest future research directions.


Author(s):  
Rangarajan Parthasarathy ◽  
Monica Garfield ◽  
Anuradha Rangarajan ◽  
Justin L. Kern

Organizational innovation capability is defined as the ability to continuously transform knowledge and ideas into new products, processes and systems for the benefit of an organization and its stakeholders. This study examines the relationship between the innovation capability of healthcare organizations and their ability to successfully implement electronic medical records (EMR), a health information technology (HIT) innovation. Data was collected using a cross-sectional survey and structural equation modeling (SEM) method was used to analyze the data. Results demonstrate that organizational product innovation capability positively affects EMR implementation success. A positive relationship also exists between organizational process innovation capability and EMR implementation success. This study is one of the first to empirically validate the relationship between healthcare organization’s innovation capability and HIT innovation implementation success, in the context of EMRs. Implications of the study for the academic and industry practitioner are discussed.


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