Estimating the success of e-health collaborative services: the THEMIS framework (original) (raw)
Related papers
Electronic Communities of Care - Measuring the Benefits
2015
Collaborative technologies including web, mobile applications, social media and smart devices are driving new models of healthcare where providers and consumers can connect together in virtual communities that facilitate real-time communications and encourage consumers to take a greater role in the management of their health. As technology enabled care models evolve, it will become imperative for program researchers and evaluators to quantify their impacts and to answer the many efficiency and effectiveness questions that different stakeholders are likely to pose. The primary aim of this study was to develop a framework that would enable the health and socio-economic benefits of technology enabled health care (e-Healthcare) models to be evaluated from the perspectives of providers, recipients and funders. To achieve this aim, a multi-dimensional framework, incorporating Information Systems and Health Economics theory, was developed and refined through input from multiple case studie...
An Empirical Analysis of the Demand for E-Services for Virtual Communities of Patients
2006
Virtual communities of patients provide health-related information and mutual support for members. This paper presents a structured analysis of virtual communities of patients and the demand for novel electronic services. Results include success factors of virtual communities of patients, the structural relations between success factors, demand for new and long-term members and newly and long-term affected patients.
Taxonomy for multi-perspective evaluation of the value of complementary health information systems
2011
Healthcare providing organizations realize astonishing advancements in treatment procedures and medical technology that strongly impact health outcome. Despite recognition of potential contributions of health information systems (HIS), its adoption is comparably low. Given the socio-technical character of HIS, research on acceptance can be considered a good theoretical foundation for designing methods for ex ante evaluations of IS in healthcare. Based
EVALUATING HEALTH INFORMATION SYSTEM INTERVENTIONS USING ANALYTICAL AND MODELING METHODS
ABSTRACT In recent years the value of the use of evaluation methods in all aspects of economic sectors, including the field of health care, has been increasingly recognized. The thrust of this paper is to explore the potential use of a) Cost-Benefit Analysis and b) Simulation and Modeling methods in estimating the value of Health Information System (HIS) projects.
On the Demand for E-Services by Health Communities
2010
Virtual communities of patients provide health-related information and mutual support for members. This paper presents an analysis of the demand of virtual communities of patients for novel electronic services. Results include the success factors of virtual communities of patients, the demand for electronic services for new and experienced community members and the demand for electronic services for short-term affected and long-term affected patients.
Analysis of Success Drivers of E-Health Infrastructure and Use: A National Level Study
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 2013
e-Health, in form of websites that contain information on health, is emerging as an important resource for common people in some developed nations. The purpose of the study is to explore the critical factors that drive the e-Health infrastructure of nations and its usage. Research data from a set of more than 40 developed and developing nations were gathered from 8,000 websites to allow analysis of factors driving the e-Health growth. The results suggest that at a national level, cost of health care per capita and perception of health are significant in e-Health infrastructure regression, explaining more than 32-41% of the variability in e-Health infrastructure. Confidence in health care systems, perception of good health, health care costs, and human development index and health infrastructure also explain over 69-78% of the variability in e-Health use.
Decision Model for Assessing Healthcare ICT Support Implications: User Perception
International Journal of Computers Communications & Control, 2014
This paper presents a multi-criteria decision model based upon user judgments to assist the evaluation process of an Information and Communication Technology (ICT) network system in health care to improve the quality of service (QoS). Measuring quality in health care services is not an easy task, as there are many competing goals involved, human, economic, communications technology, governmental and others. Integrating multiple criteria decision analysis (MCDA) methodology with modeling and simulation through Optimization Network Engineering Tool (OPNET) platform permit to characterize main ICT user and identify priority applications to examine network QoS requirements and implications. The proposed approach permitted to identify the main users, to elaborate a profile and characterization of the ICT support requirements according to their main daily task in answer to a service requirement. The results generate evidence related to the important factors effecting quality in hospital requirement as availability of services and the need for ubiquitous access to integrated information. The stakeholder interface perception and resources for ICT network support are investigated through a case study for Chilean hospitals.
Evaluating health information system projects using analytical and modeling methods
2011
In recent years the value of the use of evaluation methods in all aspects of economic sectors, including the field of health care, has been increasingly recognized. The thrust of this paper is to explore the potential use of a) Cost-Benefit Analysis and b) Simulation and Modeling methods in estimating the value of Health Information System (HIS) projects. These methods were chosen for consideration as the most appropriate, primarily because CBA can measure delivered value of HIS interventions by weighting cost and benefits and identifying what is more socially desirable, while Simulation and Modeling tools can be used to estimate the future value of health care changes concerning HIS. The paper discusses these two families of methods, their evaluation potential is analyzed, and arguments for and against the use of each method are presented. Finally, methodological considerations and limitations are discussed and areas for future research are suggested.
What factors affect physicians’ decisions to use an e-health care system?
Health, 2012
Prior studies have not explored physician's attitudes toward, and behavior and willingness to accept an e-health care system. However, physicians can induce demand for their services. The development of the high-tech asthma care mobile service (ACMS) in Taiwan provided a means of exploring key factors in a physician's choice of using an ACMS. The study was based on the technology acceptance model (TAM) and integrated "subjective norm," "innovativeness," and "managerial support" to understand and predict physicians' attitudes and behavioral intentions toward adopting high-tech healthcare systems such as the ACMS. Of 700 questionnaires distributed to physicians with experience using ACMS, 504 completed returns were received (a 72% response rate). The data were analyzed using the structural equation modeling (SEM) method. The results of the study showed that the model selected to explain and predict utilization of the ACMS had high explanatory power and was a good-fit model. The most critical factor that affected behavioral intentions related to ACMS was user attitude, followed by perceived usefulness, managerial support, subjective norm, perceived ease of use, and innovativeness.
Socio-Economic Planning Sciences, 2021
Progressive attention to well-being and personal care is a salient aspect of modern living. In this sense, digital innovation can represent a fundamental strategic element to respond to challenges that arise today for the healthcare system. The purpose of this paper is to demonstrate: 1) the positive relationship between the use of ehealth information system and the level of consumer satisfaction; 2) the positive relationship between ehealth system and the organizational performance of health centers. The sample used for this empirical research is composed of 553 health care centers operating in Europe, during the years 2014-2017. Adopting the Generalized Estimating Equations for count data under Exchangeable working correlation structure, we show ehealth tools meet the needs and expectations of citizens, specifically, facilitating communication and accessing information and health resources, and at the same time they improve the quality of services with benefits in terms of organizational performance.