IT Adoption, Diffusion, and Evaluation in Healthcare

Permanent URI for this collection

https://hdl.handle.net/10125/109922

Browse

Now showing 1 - 10 of 13

The Adoption and Diffusion of the International Patient Summary
(2025-01-07) Schippers, Djowin; Spil, Ton; Stegwee, Robert; Folmer, Erwin; Donnelly, Shawn
The International Patient Summary (IPS) is a set of basic clinical data that includes the most important health and care-related facts about a patient, enabling safe and secure healthcare. This summarized version of the patient’s clinical data gives health professionals the relevant information they need to provide care when there is an unexpected or unscheduled medical situation. Currently, there is insufficient information regarding the practical value of the IPS and its potential for improvement. This study explored the potential and value of the IPS to improve healthcare delivery. Moreover, the aim was to discover how the current value of the IPS can be further improved. Through a combined approach of literature review and interviews with healthcare professionals, the research investigated the clinical relevance and value, facilitators, and barriers to IPS adoption. With the combined results of these data collections, this study explores strategies and actions for successful implementation and fostering worldwide adoption. The USE IT qualitative model shows to be a good addition to the well known quantitative methods of adoption. The findings highlight the significant clinical value of the IPS. Literature shows enhanced care quality, improved communication, and reduced healthcare costs. Interviews identify improved quality of care, more efficient access to relevant data, and enhancement of patient safety by ensuring healthcare providers have access to crucial patient information. However, challenges such as data security, technical limitations, and implementation costs hinder widespread use. The research emphasizes the importance of addressing these barriers to maximize the IPS's potential. Key strategies include ensuring data privacy, fostering interoperability between electronic health records, and actively involving clinicians in the implementation process. Additionally, establishing clear governance structures and promoting awareness will be crucial for broader adoption. Overall, the study validates the IPS's value proposition and emphasizes the importance of prioritizing its practical implementation. This involves utilizing the existing value of the IPS, while taking into account the identified facilitators and barriers, and focusing on the necessary actions to boost its adoption. Further research is recommended to deepen the understanding of IPS implementation factors and their practical effects on healthcare. By overcoming existing barriers and fostering collaboration, the IPS has the potential to become an important and standard-used tool in global healthcare.
Employee-driven Digital Innovation in Healthcare – A Scoping Review
(2025-01-07) Guse, Richard; Warsinsky, Simon; Thiebes, Scott; Sunyaev, Ali
The healthcare sector faces increasing pressure to improve efficiency, reduce costs, and enhance quality of care. In achieving these goals digital innovations are crucial, yet healthcare organizations struggle to fully benefit from them. Traditional innovation processes often fail to tap into frontline workers' knowledge and expertise. This study explores employee-driven digital innovation (EDDI) in healthcare, highlighting its potential for healthcare organizations to leverage frontline workers' valuable insights to initiate and successfully implement digital innovations. With our literature review, we provide an overview of current instances of EDDI in healthcare and related innovation outcomes. We offer insights into extant research foci, bridging related literature streams, and addressing a fragmented knowledge base. For healthcare practitioners we offer nine enablers of how to initiate digital innovations with the help of ordinary healthcare employees. Our discussion of the literature emphasizes the benefits of involving employees in digital innovations and offers directions for future research.
Enhancing Preventive Health through Apps: An Extended Health Belief Model Approach for Widespread Adoption
(2025-01-07) Fortagne, Marius Arved; Anderski, Matthias; Yagiz, Helin; Lis, Bettina
Preventive health applications (PHA) are digital tools designed to facilitate preventive healthcare measures, such as regular check-ups and early disease detection. Despite potential benefits, PHA are not widely used, and existing implementations often lack quality. Furthermore, there is limited research on these apps. This study investigates the determinants influencing the willingness to use PHA by employing an extended Health Belief Model. Data were collected through an online survey from 248 participants and analyzed using Partial Least Squares Structural Equation Modeling. Results indicate that perceived technical barriers significantly deter the intention to use PHA, while perceived medical benefits and susceptibility positively influence usage intention. Additionally, health motivation impacts perceived benefits, and privacy concerns are linked to technical barriers. Our approach provides a novel perspective by incorporating health-related beliefs and motivations, bridging a significant gap in understanding health technology adoption. These insights offer implications for designing more effective PHA.
The Rise and Fall of a Boundary Object: How Medical Prescriptions Became a Boundary Object and Why They May Lose this Role through Digitalization
(2025-01-07) Reimers, Kai; Schellhammer, Stefan; Borchers, Marie; Stowasser, Kerstin; Linzbach, Christina
We extend and evaluate a model of the life cycle of boundary objects proposed by Susan Star (2010) by applying it to the evolution of medical prescriptions as boundary objects between pharmacists and physi-cians during the 19th and 20th century. We find that interpretative flexibility, an essential characteristic of boundary objects, is not a property of an object, but results from a certain constellation of practices con-nected by it. This resonates with Star’s claims that ‘boundary object’ and ‘work arrangement’ are equiv-alent terms. Based on our findings, we speculate that digitalization of medical prescriptions may signifi-cantly reduce their character as boundary objects and turn them into a fully specified interface of an inter-organizational information system. We also briefly discuss the conditions under which medication plans may become new boundary objects in the relationship between physicians and pharmacists.
The Moderating Role of Hospital Staffing Levels on the Effectiveness of Clinical Decision Support Systems in Mitigating Patient Readmission Rates: An Empirical Analysis
(2025-01-07) Tao, Youyou; Sundrup, Rui; Wu, Dezhi; Brahma, Arin; Baldwin, Kevin
Healthcare staffing shortages and high 30-day readmission rates are pressing challenges in today's healthcare systems. While extensive studies have explored the positive impact of Health Information Technology (HIT) on health outcomes, the effect of hospital staffing on HIT effectiveness, particularly Clinical Decision Support Systems (CDSS), is underexplored. Therefore, we examine whether physician and resident staffing levels moderate the impact of CDSS on 30-day readmission rates. After analyzing data from 1,605 hospitals in the United States from 2017 and 2018, we found that the effect of CDSS implementation in reducing 30-day readmission rates is more pronounced in hospitals with lower bed-to-physician and bed-to-resident ratios, suggesting a higher number of physicians and residents per bed enhances the effectiveness of CDSS. The study also highlights different effects based on hospital size and complexity levels and emphasizes the importance of considering staffing levels when implementing CDSS and other HIT to maximize their benefits.
Navigating Governance Challenges in a Decentralised Healthcare Ecosystem
(2025-01-07) Saenyi, Betty; Mansour, Osama; Keller, Christina
Polycentric governance has often been theorized as a desirable model for digital ecosystems due to its potential to spur innovation and enhance adaptability. However, in decentralised healthcare systems like Sweden's, low innovation rates and interoperability issues persist. This paper examines Sweden's efforts to achieve national digital health goals within its decentralised model. Analysing qualitative data from interviews and archival documents, we utilised the COOF framework (Context, Operations, Outcomes, Feedbacks) to assess the outcomes of the ecosystem's operational arrangements and its feedback pathways. We identified governance outcomes such as vendor lock-ins and inadequate digital adaptation structures. Furthermore, the presence of suboptimal feedback pathways and adjustment mechanisms explain the persistent governance challenges, which we refer to as governance opacity and over-reliance on regulation. By exploring the implications of polycentric governance, this study provides recommendations for enhancing collective action and enabling successful digital transformation in decentralised healthcare ecosystems.
The Impact of Hospitals-owned Internet Hospitals on Third-Party Online Healthcare Platform
(2025-01-07) Li, Yu; Zhang, Xiaofei; Li, Ziru; Chen, Xi
The rapid development of hospital-owned Internet hospitals (referred to as Internet hospitals), supported by policies and accelerated by the pandemic, has inevitably impacted third-party online healthcare platforms (referred to as online healthcare platforms). The objective of this study is to examine how physicians’ participation in Internet hospitals affects patient volume on healthcare platforms. Through an analysis of staggered physician adoption of Internet hospitals, we find that patient volume on online healthcare platforms decreases following physician participation in Internet hospitals. This decline is attributed to competition from Internet hospitals for patients, rather than competition for physician effort. The impact varies based on the duration of a physician’s participation in Internet hospitals and their reputation on the online healthcare platforms. Longer participation intensifies the competitive effect, while physicians with higher reputations are able to mitigate this competitive effect. These findings provide valuable insights for manager of online healthcare platforms.
Examining Trust and Consent Models for Patient-Generated Health Data-sharing and Incentives
(2025-01-07) Thoms, Brian; Botts, Nathan; Eryilmaz, Evren
This research explores mitigating factors that influence personal health information sharing as it relates to the adoption of personal health information systems (PHIS). We examine the willingness of online users to share specific types of health data, their general concerns about sharing their health data, and what incentives might exist to motivate health data-sharing in the future. Findings across 336 survey respondents identify an overall sense of concern towards online data-sharing and privacy policies, and yet a willingness to share information, including personal health data, and the potential for health incentives to affect their willingness to share various types of health data. The implications of this research will play an important role as organizations and individuals increasingly adopt personal health information systems. This research also addresses the need for established guidelines and frameworks that address patient privacy as more data is captured and stored within cloud computing environments.
AI-Enabled Knowledge Creation: A Unified Database Approach in a Multinational Hospital Network
(2025-01-07) Elvas, Luis; Oliveira, Bruno; Mira, Miguel; Brás Rosário, Luís; C Ferreira, Joao
This study outlines an approach for integrating health data from 72 hospitals in 13 countries, focusing on COVID-19 patients with cardiovascular issues. The goal is to combine data within a European project, prioritizing data privacy and utilizing an Extract, Transform, and Load (ETL) architecture for efficient data management. Machine learning, including AI, is applied to predict anomalies in patient data, enhancing the ETL process's capability to support such algorithms. An alert system is established to flag potential outliers for swift medical attention. Challenges such as interoperability and privacy are addressed, and the study evaluates the ETL and AI methods against key performance metrics, confirming their effectiveness. The unified database allows for benchmarking and sharing best practices across hospitals, improving healthcare quality. The paper contributes by detailing ETL development challenges in healthcare and showcasing the benefits of a centralized data repository for healthcare management, particularly through a machine learning algorithm designed to predict abnormal patient values, thereby aiding healthcare professionals in decision-making and improving patient care.
Patient-Centered Healthcare Marketing: The Impact of Physicians’ Proactive Knowledge Contribution on Patients’ Paid Consultation
(2025-01-07) He, Fan; Liu, Siyuan
This study uses the Information Systems Success Model (ISSM) to explore the impact of doctors' proactive knowledge contribution, specifically through health article publication, on patient selection. By analyzing panel data from a Chinese health platform and employing the PSM-DID method, it finds that each article increases patient consultations by 0.87 on average, with reposted, paid, and video articles showing higher conversion rates. While doctors with higher titles experience diminishing returns, a strong online reputation positively influences patient engagement, offering strategies to optimize online health platforms and improve patient decision-making.

Browse

Recent Submissions