Radical Technological Innovation and Perception: A Non-Physician Practitioners’ Perspective

Radical technological innovations, such as chatbots, fundamentally alter many aspects of healthcare organizations. For example, they transform how clinicians care for their patients. Despite the potential benefits, they cannot be integrated into practice without the support of the clinicians whose jobs are affected. While previous research shed important light on physicians’ perceptions, little is known on nonphysician practitioners view said innovations. This paper reports on a qualitative study, involving 10 nonphysician clinicians from Ontario, Canada, conducted to determine the perceptions and cognitions of clinicians regarding radical innovation and their previous experiences with technological change. Results indicate that clinicians as semi-autonomous agents can interpret and act upon their environment with regard to determining how innovations such as chatbots are implemented

Theoretical, Methodological and Practical Challenges in Designing Formative Evaluations of Personal eHealth Tools

This article describes the challenges experienced in designing a formative evaluation of a mobile personal eHealth tool for disease symptom tracking, in the context of Inflammatory Bowel Diseases management. As this unique context is characterized by regular visits with physicians, and the need to report disease activity to the physician, a mixed methodology is used to assess the fit of the technology to the context, and a multilevel model is used to evaluate theoretical links between patient and physician. Other issues include selection of sampling techniques, recruitment, and preventing study attrition by participants

Enhancing Patient Physician Communication with Electronic Symptom Reporting (ESR): A Multilevel Model

This article describes the development of a multilevel theoretical model, which explains electronic symptom reporting (ESR) in the context of chronic disease management. ESR entails the use of patient-held technologies, such as electronic personal health records (ePHRs), for recording patient symptom data so that the information can be transmitted to a physician for interpretation. As patient recall of symptoms is critical to treatment effectiveness, ESR offers several advantages over traditional symptom reporting methods. The patient has the ability to conveniently collect symptom data, which can subsequently be viewed by the physician in an interpretable and relevant manner. This article proposes a theoretical model, which integrates the perspectives of both patient and physician, in order to inform theory development in this area

Role of IS Job Shadows on College Student Major Selection

The Information Systems (IS) Job Shadow program allows undergraduate students to engage in an experiential learning opportunity with IS professionals. The job shadow includes a half-day visit with a local business to learn about IS, how IS supports the business, and careers within IS. This research examines the role of the IS job shadow on post-secondary undergraduate student self-efficacy and behavior intentions by measuring student intent on pursuing the IS major and IS career both before and after the IS job shadow

RCQ: Inter-Clinician Relationships, Practice Audit and Communities of Practice for Healthcare Quality Improvement

Inter-clinician relationships and communities of practice have the ability to support continuous quality improvement efforts within healthcare organizations, by offering a means of sharing necessary knowledge that is generally not possessed by clinicians. Sustained adherence to the processes critical to quality improvement is necessary for durable improvements in quality, and knowledge sharing is necessary for supporting these skills, such as practice audit, change management and use of the associated technology. This paper unveils the RCQ (Relationships, Communities, Quality) model, which provides a framework for the purpose of sustaining practice audit for quality improvement in healthcare

Perceived Usefulness and Behavioral Intention to Use Consumer-Oriented Web-Based Health Tools: A Meta-Analysis

This meta-analysis reports on the predictive power of a portion of the Technology Acceptance Model (TAM), when used to evaluate web-based tools geared towards consumers of healthcare. Findings show that perceived usefulness is a strong predictor of behavioral intention in consumers who use web-based tools for health purposes. Findings also show that users in the contexts of both mental health and wellness exhibit homogeneity, suggesting that these populations may be distinct in their perceptions and use of web-based health tools

A Hybrid Mining Approach to Facilitate Health Insurance Decision: Case Study of Non-Traditional Data Mining Applications in Taiwan NHI Databases

This study examines time-sensitive applications of data mining methods to facilitate claims review processing and provide policy information for insurance decision-making vis-à-vis the Taiwan National Health Insurance databases. In order to obtain the best payment management, a hybrid mining approach, which has been grounded on the extant knowledge of data mining projects and health insurance domain knowledge, is proposed. Through the integration of data warehousing, online analytical processing, data mining techniques and traditional data analysis in the healthcare field, an easy-to-use decision support platform, which will facilitate the health insurance decision-making process, is built. Drawing from lessons learned in case study, results showed that not only is hybrid mining approach a reliable, powerful, and user-friendly platform for diversified payment decision support, but that it also has great relevance for the practice and acceptance of evidence-based medicine. Researchers should develop hybrid mining approach combined with their own application systems in the future

Factors Influencing the Clinician\u27s Intention to Use AI Systems in Healthcare: A Value-Based Approach

Healthcare systems worldwide are in rapid transition, moving from traditional, paper-based practices to computerized approaches to improve service delivery. Consequently, interest in AI applications within medicine has been growing exponentially. The benefits of adopting such technology in a data-driven healthcare environment have been readily studied. However, few studies have investigated whether these AI-based medical interventions would be valued and used by clinicians. Thus, this study aims to extend a value-based adoption model (VAM) within the North American healthcare context to assess the clinician\u27s positive and negative views of AI and whether their perceptions of risks and benefits influence their intention to adopt the technology within their practice

Electronic Food and Exercise Diaries: Knowledge Gaps and Future Research

Electronic food and exercise diaries are increasingly popular, both on the Internet and mobile devices. These tools offer apotential low-cost solution to help control and manage weight in those who suffer from obesity, as well as reduce the strain ofobesity on the Canadian healthcare system. The body of knowledge for electronic food and exercise diaries, however, islacking as to their effectiveness and related issues. This paper presents several key issues pertaining to the use of theseapplications, as well as proposed research directions, in which theories integrated from different areas can address these gaps.These theories include those that address acceptance of technology, continuity of use, and ability to produce behavioralchange. Preliminary research results indicate that the diaries are effective in weight reduction, but issues associated withinitial adoption remain

Managing Digital Resources for Care Delivery to Underserved

Difficulties in delivering healthcare to underserved populations compel the need for responsiveness in the way healthcare is delivered. Using framework based on Capabilities and Service Dominant Logic, this research seeks to understand partnership-level capabilities related to community engagement, digital leadership, and data and IT governance when healthcare providers and social organizations partner to deliver healthcare using digital services in a culturally relevant manner. A multisite case study is proposed that seeks to develop high quality care model to Indigenous population in the northwestern Ontario region in Canada