Evaluating Impact of an Emerging Big Health Data Platform: A Logic Model and Q-Methodology Approach

Abstract

Despite advances in technology and medical science, modern health-based projects are open to systemic failure due to many factors. These include I.T. developer's lack of awareness with regard to end-user needs, poor communication amongst all parties concerned and inappropriate or inadequate tests of the emerging system. Other issues may be external (e.g. political and legal) such as sharing of patient data and issues surrounding consent. The goal of this paper is to take a major health-based European model in current development and explore how it addresses the needs of four institutions in four different countries, and how it will meet their respective needs. The evaluation was designed within a Logic Model, and uses the Framework approach, and Q-Methodology to assess both impact and evaluation. Data will be collected through longitudinal semi-structured interviews and Q-scoring with principal stakeholders and developers at each stage of the project. This approach, recurring interviews with the same key players in the project, will help ensure that there is mutual understanding between I.T. developers and endusers of the system. The final system is meant to provide effective health-based decision support systems for policy makers.

e-Health Application, Implementation and Challenges: A Literature Review

“…This paper's primary limitation is that it relied on secondary research, and the conclusion was based on research and data that is currently accessible. Future researchers in this area should conduct a primary study to identify the efficiency and satisfaction of health users of healthcare organisations using traditional approaches and healthcare hospital organisations using Industry 4.0 innovations to provide services, such as big data (Connolly et al, 2018) or e-health records (Boilson et al, 2019).…”