WHAT IS THE BUSINESS MODEL BEHIND E-HEALTH? A PATTERN-BASED APPROACH TO SUSTAINABLE PROFIT

Inspired by the vast opportunities that today\u27s technologies provide and driven by the need to both cut the costs and increase the quality of health services delivery, many e-health initiatives and ventures were launched in the last couple of years. However, a large number of these projects failed. They were either not able to articulate a clear value proposition to patients or lacked a sustainable profit generation formula. It seems to be difficult to understand the business logic behind e-health services in today\u27s complex environment. This study aims to analyze and explain the business logic of e-health service provisions. Based on a design pattern-based approach, three distinct examples are illustrated as archetypical design solutions of successful business models: freemium, two-sided market, and crowd-based e-health. Explanations of the different, isolated business logics help to foster the understanding of the essence of value creation and revenue flows. These findings provide an instrument for e-health marketers to develop more sustainable business models. They facilitate further research in innovation and experimentation with different business model designs

E-health Concept Development and Maturity in Literature

Background: Electronic technologies, which used in electronic health, electronic commerce, electronic learning, and electronic banking, have wildly invaded our life. E-health is a rapidly evolving concept in many disciplines such as nursing and medicine. Objective: To identify the maturity of e-health as a concept to attain better clarity on its meaning and application. Method: Data search included CINAHL, PubMed Central, Google Scholar, Sage Publications, Scopus, Taylor and Francis, Emerald, and Wiley's databases. The concepts of search were: electronic health, e-health, and e-health concept analysis. 36 cited definitions were found in the literature related to e-health. Morse criteria were utilized by assessing four principles to evaluate the level of maturity of e-health concept: (1) the epistemological (2) logical (3) pragmatical, and (4) linguistical principles. Conclusion: e-health concept is still not mature in all disciplines related to health. Keywords: e-health; concept maturit

Service robots in hospitals : new perspectives on niche evolution and technology affordances

Changing demands in society and the limited capabilities of health systems have paved the way for robots to move out of industrial contexts and enter more human-centered environments such as health care. We explore the shared beliefs and concerns of health workers on the introduction of autonomously operating service robots in hospitals or professional care facilities. By means of Q-methodology, a mixed research approach specifically designed for studying subjective thought patterns, we identify five potential end-user niches, each of which perceives different affordances and outcomes from using service robots in their working environment. Our findings allow for better understanding resistance and susceptibility of different users in a hospital and encourage managerial awareness of varying demands, needs, and surrounding conditions that a service robot must contend with. We also discuss general insights into presenting the Q-methodology results and how an affordance-based view could inform the adoption, appropriation, and adaptation of emerging technologies

Basic Science to Clinical Research: Segmentation of Ultrasound and Modelling in Clinical Informatics

The world of basic science is a world of minutia; it boils down to improving even a fraction of a percent over the baseline standard. It is a domain of peer reviewed fractions of seconds and the world of squeezing every last ounce of efficiency from a processor, a storage medium, or an algorithm. The field of health data is based on extracting knowledge from segments of data that may improve some clinical process or practice guideline to improve the time and quality of care. Clinical informatics and knowledge translation provide this information in order to reveal insights to the world of improving patient treatments, regimens, and overall outcomes. In my world of minutia, or basic science, the movement of blood served an integral role. The novel detection of sound reverberations map out the landscape for my research. I have applied my algorithms to the various anatomical structures of the heart and artery system. This serves as a basis for segmentation, active contouring, and shape priors. The algorithms presented, leverage novel applications in segmentation by using anatomical features of the heart for shape priors and the integration of optical flow models to improve tracking. The presented techniques show improvements over traditional methods in the estimation of left ventricular size and function, along with plaque estimation in the carotid artery. In my clinical world of data understanding, I have endeavoured to decipher trends in Alzheimer’s disease, Sepsis of hospital patients, and the burden of Melanoma using mathematical modelling methods. The use of decision trees, Markov models, and various clustering techniques provide insights into data sets that are otherwise hidden. Finally, I demonstrate how efficient data capture from providers can achieve rapid results and actionable information on patient medical records. This culminated in generating studies on the burden of illness and their associated costs. A selection of published works from my research in the world of basic sciences to clinical informatics has been included in this thesis to detail my transition. This is my journey from one contented realm to a turbulent one

A qualitative study of workflow and information systems within Emergency Departments in the UK

Background: Health Information Technology (HIT) has the potential to improve the quality and efficiency of healthcare delivery and reduce costs. However, the integration of HIT into healthcare workflows has experienced a range of issues during its implementation. It can adversely impact healthcare workflows, therefore reducing efficiency and safety in healthcare delivery. As healthcare settings are characterised by its own workflow, an in-depth understanding of the workflows of where the HIT to be implemented is crucial in order to avoid complexities that can arise. As there is a lack of research investigating an overall ED workflow, both clinical and non-clinical processes and practices, this research aims to gain an in-depth understanding of emergency care workflow which includes the work processes and practices of its clinicians and non-clinicians and its information artefacts. Methodology: This research employed a fieldwork case study approach analysing the work processes and practices of clinicians and non-clinicians in the delivery of emergency care. The approach was used in order to capture the situated nature of the ED workflow. The study was conducted in two emergency care settings located in the UK. Data were collected using semi-structured interviews, non-participant observations and documents. A multiple triangulation technique: data triangulation and within-methods triangulation were employed in order to gain an in-depth understanding of the topic. The data were analysed using thematic analysis. Findings: The emergency care workflow consisted of multidisciplinary ED team members’ work processes. These work processes were comprised of collaborative clinical and non-clinical tasks and activities in delivering care treatment governed and defined by time-related activities, organisational rules, exceptions and variability. The workflow was supported by both computerised systems and non-computerised information artefacts, such as non-electronic whiteboards and paper-based records and forms, which needed to be used in conjunction with each other. Additionally, the hybrid implementation had also been utilised to support collaborative work of the clinicians and non-clinicians, hence giving the implication that HIT systems should not be designed as purely technical system focusing on single users, but also as a collaborative work system. Conclusion: An ED workflow consists of interrelated care processes, clinical and non-clinical processes. These processes are executed semi-autonomously by clinicians and non-clinicians and governed by time-related organisational constraints, variable and exception-filled, relying on hybrid information architecture. The architecture presented workflow with a number of integration issues. However, its implementation does not only support the functionalities for the delivery of emergency care processes but also the collaborative practices of the clinicians and non-clinicians

A qualitative study of workflow and information systems within Emergency Departments in the UK

Background: Health Information Technology (HIT) has the potential to improve the quality and efficiency of healthcare delivery and reduce costs. However, the integration of HIT into healthcare workflows has experienced a range of issues during its implementation. It can adversely impact healthcare workflows, therefore reducing efficiency and safety in healthcare delivery. As healthcare settings are characterised by its own workflow, an in-depth understanding of the workflows of where the HIT to be implemented is crucial in order to avoid complexities that can arise. As there is a lack of research investigating an overall ED workflow, both clinical and non-clinical processes and practices, this research aims to gain an in-depth understanding of emergency care workflow which includes the work processes and practices of its clinicians and non-clinicians and its information artefacts. Methodology: This research employed a fieldwork case study approach analysing the work processes and practices of clinicians and non-clinicians in the delivery of emergency care. The approach was used in order to capture the situated nature of the ED workflow. The study was conducted in two emergency care settings located in the UK. Data were collected using semi-structured interviews, non-participant observations and documents. A multiple triangulation technique: data triangulation and within-methods triangulation were employed in order to gain an in-depth understanding of the topic. The data were analysed using thematic analysis. Findings: The emergency care workflow consisted of multidisciplinary ED team members’ work processes. These work processes were comprised of collaborative clinical and non-clinical tasks and activities in delivering care treatment governed and defined by time-related activities, organisational rules, exceptions and variability. The workflow was supported by both computerised systems and non-computerised information artefacts, such as non-electronic whiteboards and paper-based records and forms, which needed to be used in conjunction with each other. Additionally, the hybrid implementation had also been utilised to support collaborative work of the clinicians and non-clinicians, hence giving the implication that HIT systems should not be designed as purely technical system focusing on single users, but also as a collaborative work system. Conclusion: An ED workflow consists of interrelated care processes, clinical and non-clinical processes. These processes are executed semi-autonomously by clinicians and non-clinicians and governed by time-related organisational constraints, variable and exception-filled, relying on hybrid information architecture. The architecture presented workflow with a number of integration issues. However, its implementation does not only support the functionalities for the delivery of emergency care processes but also the collaborative practices of the clinicians and non-clinicians