IT Adoption, Diffusion and Evaluation in Healthcare
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ItemToward a Configurational Protection Motivation Theory( 2020-01-07)Protection motivation theory (PMT) has been widely used as a theory to explain users’ adoption of health information technologies. Prior studies based on PMT tend to treat it as a variance model and explain the parallel and independent effects of its constructs. This theorization neglects the original insights about the sequence of decision making and the interdependencies between PMT constructs. To address both of these two issues, this study proposes and tests a configurational protection motivation theory (CPMT). Specifically, different configurations are identified to reflect the potential sequential effects, substitutive effects, and complementary effects. A survey of 204 mobile health service users in China is conducted to test CPMT and the data analysis results confirm the theoretical expectations. This study can contribute to protection motivation theory and e-health research and suggest practitioners to think in a holistic way during service promotion.
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ItemAn Exploration of Trends in Patient Health Data Safety Concerns: Does Heterogeneity Matter?( 2020-01-07)There have been ongoing discussions on threats to patients' electronic health information/records (EHR). This study aims to examine the 1) trend in electronic data safeguard concerns and 2) factors associated with such perceptions. Using the Health Information National Trends Survey (HINTS) data from 2014, 2017, and 2018, the study analyzed 7527 patients (representing approximately, 175 million US adult subjects) for their perceptions on information safeguard and withholding information from providers due to privacy/security. About 24%, 24%, and 15% respondents reported not confident about data safeguard in 2014, 2017, and 2018, respectively. A large population is not firmly confident about data safety and many would withhold information. Although there is a significant trend in improvement of safeguard concerns, there is patient characteristics-related heterogeneity and there are communication quality effects on adverse outcomes of privacy/security concerns. The results will be useful for improving patient utilization of EHRs benefiting patients or healthcare systems.
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ItemImpact of IT Investment on Hospital Performance: A Longitudinal Data Analysis( 2020-01-07)With the enormous investments in Information Technology (IT), the question of payoffs from IT has become increasingly important. In this study, we investigate the impact of IT investments on hospital performance. We consider both financial outcomes such as return of investment and non-financial outcomes such as quality of care. We used longitudinal data that include the IT investments and hospital performance measures collected from over 500 hospitals and conduct a panel data analysis. The results of our study provide evidence for a significant positive relationship between IT investments and hospital performance measures.
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ItemOpportunities for the Implementation of Immersive Virtual Reality in Rehabilitation( 2020-01-07)Virtual reality (VR) technologies are emerging as novel platforms for physical and cognitive interventions, though applications in communication rehabilitation are scarce. Consultation with end-users on implementation of VR in clinical contexts is a vital first step to investigating the feasibility VR in communication rehabilitation. The aim of this study was to determine the views of professionals with expertise in health, rehabilitation, and VR technology, on the populations that might benefit from VR-based rehabilitation, and potential barriers and facilitators to their use of VR. Thematic content analysis of one interdisciplinary focus group and one in-depth interview identified two content themes relating to the use of VR in rehabilitation, and four themes related to the use of VR to maximize its clinical benefit and uptake. Consideration of these results in the development of VR programs in rehabilitation might lead to better acceptance and implementation of VR for improved health and participation outcomes.
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ItemNurse Usage of HIS to Coordinate Work across Shifts.( 2020-01-07)To provide continuous patient care, nurses rely on various forms of Health Information Systems (HIS) to coordinate work across shifts. While these technologies are critical for the quality of patient care, we know little about the practical challenges nurses face in making use of them when distributed across shifts. Against this backdrop, we used a social-technical design perspective grounded in organization theory to investigate how nurses used a HIS to support coordination across work shifts. We collected data by interviewing and observing nurses in their everyday work. Our analysis reveals interesting differences in how technology supported coordination, partly because of the specific coordination challenges nurses faced and because of nurses’ perception of the HIS as an enabler of coordination. We contribute to the literature on nursing in the context of work shifts with empirical insights into and a conceptual framework for studying nurses’ use of HIS across work shifts.
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ItemSmart Glasses in Health Care: A Patient Trust Perspective( 2020-01-07)Digitization in the health care sector is striving forward. Wearable technologies like smart glasses are being evaluated for providing hands-free and septic-safe access to information systems at the point of care. While smart glasses hold the potential to make service processes more efficient and effective, it is unclear whether patients would opt-in to treatments involving smart glasses. Patients are not active users of smart glasses but are nevertheless affected of outcomes produced by the symbiosis of health care workers and smart glasses. Using an online survey with 437 respondents, we find that it is important to properly explain to patients why smart glasses are being used and to proactively address data privacy concerns. Otherwise, smart glasses can significantly increase risk perceptions, reduce patients’ estimates of health care workers’ abilities, and decrease patients’ willingness to opt-in to medical procedures.
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ItemTracking Fitness or Sickness - Combining Technology Acceptance and Privacy Research to Investigate the Actual Adoption of Fitness Trackers( 2020-01-07)Personal data is often collected, processed and utilized without the knowledge of the information system’s user. With regard to the enormous value of personalized data for companies as well as consumers’ tendency to unreflectively disclose their data, privacy concerns have been an essential topic for researchers since the mid-1990s. However, established research models of wearable IS-technologies are inadequate to comprehensively investigate the issue of privacy and its effects on acceptance variables. Therefore, the following study aims to empirically validate a research model which considers privacy concerns as a central construct in predicting the actual usage of fitness trackers. The results of our investigation underline the vital role of privacy concerns for the acceptance of fitness trackers and imply that the current providers’ advertising is insufficient in meeting the consumers’ needs.
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ItemPredicting Automation of Professional Jobs in Healthcare( 2020-01-07)Highly-skilled professional jobs have been considered somewhat resistant to automation due to their reliance on judgement and creativity. Still, recent technological advancements such as artificial intelligence are threatening to disrupt even the jobs of professionals. This is particularly relevant in healthcare which accounts for one quarter of all professional jobs in the U.S. We test a model for predicting job automation based on concepts from recent research literature and extensive U.S. job data. We demonstrate that low automation of professional jobs can be attributed to creative skill requirements and interpersonal skill requirements. When we repeat the analysis with just the healthcare jobs we find that professional training seems to relate to lower amounts of job automation independent from creative and interpersonal skill requirements. Healthcare professions seem resistant to automation beyond what a factor model would explain. We provide theories for the unusually low automation of the jobs of healthcare professionals.
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ItemEmpirical Evaluation of the Influence of EMR Alignment to Care Processes on Data Completeness( 2020-01-07)Data completeness is an important dimension of data quality in electronic medical records (EMR). There are many constructs that influence data completeness in EMR. In this paper, we investigate three of these constructs: Clinical staff participation, EMR integration, and EMR alignment to care processes. We use these constructs from related studies as theoretical support to propose a conceptual model of factors influencing data completeness in EMR. The conceptual model is empirically validated using a survey with clinical staff participants. The results reveal that a high level of clinical staff’s participation influences the data completeness in EMR. Furthermore, the alignment of EMR to the care processes has an impact on the data completeness in EMR.
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ItemMobile Technology Use in a Multidisciplinary Healthcare Team - Factors and Challenges( 2020-01-07)Mobile technologies are being increasingly used in the health care sector to deliver quality care to patients through improved communication. While considerable research has been carried out in this area, there is limited research as to how mobile technology is being used by a multidisciplinary health care team (MHCT). This study aims to shed some light on the use of mobile technology by a MHCT. Using Activity Theory as a lens, we report on a qualitative study carried out in a large Australian hospital. This research identified the type of tasks and characteristics of the roles of the MHCT as important factors in understanding how they use mobile technology. The type of use for the technology was classified into spontaneous, restricted and potential use. Communication was found to be the key "spontaneous” use by the MHCT. The major challenges faced by the MHCT were privacy and security, and confidentiality.