A systematic review of the adoption and acceptance of eHealth in Saudi Arabia: views of multiple stakeholders.

Background: eHealth is defined as “the use of information and communication technology for health”. Adoption and acceptance are key concepts to measure the level of eHealth impact. The aim of this systematic review was to critically appraise, synthesise and present evidence of the status of eHealth adoption and acceptance in Saudi Arabia from the perspectives of multiple stakeholders. Methods: Based on a Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) guided protocol published with the international prospective register of systematic reviews (Prospero), five databases were searched for articles published between 1993 and 2017. Inclusion and exclusion criteria of studies were applied in which only peer-reviewed, full-text primary research articles in English language were included. One reviewer performed the searches; two reviewers independently screened the titles then abstracts followed by full articles. Studies excluded were recorded with reasons. Critical appraisal tools appropriate to study design were applied. Eleven items from every study were extracted for further synthesis. Results: After duplicates were removed, 110 papers were screened, and 15 studies met the inclusion criteria. Studies were generally of good quality. Thirty-nine factors were identified as influences affecting the adoption and acceptance of eHealth in Saudi Arabia. Lack of eHealth studies from the perspective of health managers and the limitation of studies to few geographical areas were identified as knowledge gaps. Conclusion: eHealth field in Saudi Arabia showed evidence of continual growth in both publications and awareness of significance. Therefore, findings from this review may help key professionals to address the current challenges and barriers and prioritise the main areas for improvement

IAPMA 2011: 2nd Workshop on information access to personal media archives

Towards e-Memories: challenges of capturing, summarising, presenting, understanding, using, and retrieving relevant information from heterogeneous data contained in personal media archives. Welcome to IAPMA 2011, the second international workshop on "Information Access for Personal Media Archives". It is now possible to archive much of our life experiences in digital form using a variety of sources, e.g. blogs written, tweets made, social network status updates, photographs taken, videos seen, music heard, physiological monitoring, locations visited and environmentally sensed data of those places, details of people met, etc. Information can be captured from a myriad of personal information devices including desktop computers, PDAs, digital cameras, video and audio recorders, and various sensors, including GPS, Bluetooth, and biometric devices

Experiences of living with chronic myeloid leukaemia and adhering to tyrosine kinase inhibitors: A thematic synthesis of qualitative studies

Purpose: To investigate the experiences of adults living with chronic myeloid leukaemia and treated with tyrosine kinase inhibitors, with particular reference to factors influencing adherence. Methods: A thematic synthesis of all published qualitative studies examining adults with chronic myeloid leukaemia, receiving tyrosine kinase inhibitors. Eligible publications were identified by searching five electronic databases using defined criteria. The synthesis involved complete coding of extracted data and inductive theme development. Results: Nine studies were included and three overarching themes defined. Overarching themes were: 1) Disease impacts whole life; 2) Disease management strategies; and 3) Valued aspects of care. Side-effects often required physical and psychological adaptation. Patients developed individual decision-making processes to promote adherence and manage side effects. Unintentional non-adherence occurred due to forgetfulness and system failures. Intentional omission also occurred, which together with side effects, was unlikely to be reported to healthcare professionals (HCPs). HCP reassurance about missed doses could reinforce non-adherence. Information needs varied over time and between individuals. Knowledge among patients about treatment was often lacking and could lead to misunderstandings. Patients valued psychological support from HCPs and suggested an individualised approach, facilitating discussion of symptoms, adherence and their perspectives about living with chronic myeloid leukaemia, would improve care. Conclusions: Patients with chronic myeloid leukaemia experienced significant side-effects from treatment and changes to their psychological and physical well-being. They developed their own strategies to manage their disease and treatment. This should be recognised in interventions to improve education, support and the delivery of care that is compassionate and adequately resourced

Data science, analytics and artificial intelligence in e-health : trends, applications and challenges

Acknowledgments. This work has been partially supported by the Divina Pastora Seguros company.More than ever, healthcare systems can use data, predictive models, and intelligent algorithms to optimize their operations and the service they provide. This paper reviews the existing literature regarding the use of data science/analytics methods and artificial intelligence algorithms in healthcare. The paper also discusses how healthcare organizations can benefit from these tools to efficiently deal with a myriad of new possibilities and strategies. Examples of real applications are discussed to illustrate the potential of these methods. Finally, the paper highlights the main challenges regarding the use of these methods in healthcare, as well as some open research lines

Efficient Decision Support Systems

This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues. This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers