The Relationship between Health Information Technology Laboratory Tracking Systems and Hospital Financial Performance and Quality

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.

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The Impact of Health Information Technology Investment on Financial Performance with the Mediating Role of Business Process in Kohgiluyeh and Boyer Ahmad Province Hospitals

Quarterly Journal of Management Strategies in Health System ◽

10.18502/mshsj.v5i3.4902 ◽

2020 ◽

Author(s):

Mohammad Haji Asl ◽

Jahanbakhsh Rahimi Baghmalek

Keyword(s):

Information Technology ◽

Structural Equation Modeling ◽

Financial Performance ◽

Health Information Technology ◽

Health Information ◽

Business Process ◽

Structural Equation ◽

Equation Modeling ◽

Mediating Role

Background: The acceptance rate of electronic health recording systems has increased significantly, so that development of this technology in the medical sector has caused a huge change in the health care system. The aim of this study was to investigate the effect of investment in health information technology on financial performance with the mediating role of business process in Kohgiluyeh and Boyer-Ahmad hospitals in Iran. Methods: This applied and descriptive-causal study was conducted with an analytical approach. According to Morgan Table, the sample size was estimated as 384 individuals. The research instrument was a 31-item standard questionnaire validated using face validity, convergent reliability, divergent reliability, Cronbach's alpha reliability, and compound reliability. To analyze the data, descriptive statistics and structural equation modeling were applied by Smart PLS and SPSS 20 software. Results: In this study, 9 research hypotheses were confirmed by path analysis and Structural Equation Modeling (SEM). Based on the findings, investing in health information technology (p = 3.647) and path coefficient (p = 0.237) had a significant effect on financial performance. The overall business process (0.477) plays a mediating role in the path between these 2 variables. The research model had a suitable fit. Conclusion: Health information technology can increase the safety and efficiency of information, improve public health, ensure the privacy of the patients, and increase the assets' efficiency by reducing costs.

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The Case of Organizational Innovation Capability and Health Information Technology Implementation Success

International Journal of Healthcare Information Systems and Informatics ◽

10.4018/ijhisi.20211001.oa21 ◽

2021 ◽

Vol 16 (4) ◽

pp. 1-27

Author(s):

Rangarajan Parthasarathy ◽

Monica Garfield ◽

Anuradha Rangarajan ◽

Justin L. Kern

Keyword(s):

Information Technology ◽

Health Information Technology ◽

Health Information ◽

Structural Equation ◽

Organizational Innovation ◽

Equation Modeling ◽

Innovation Capability ◽

Implementation Success ◽

Cross Sectional Survey ◽

The Relationship

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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