The Impact of Patient Access to Electronic Health Records on Health Care Engagement: Systematic Review.

Background: Health information technologies, including electronic health records (EHRs), have revolutionized health care delivery. These technologies promise to enhance the efficiency and quality of care through improved patient health information management. Despite the transformative potential of EHRs, the extent to which patient access contributes to increased engagement with health care services within different clinical setting remains a distinct and underexplored facet.

Applying Co-Design Principles for the Development of Health Education and Workforce Development.

The digital transformation of the UK's healthcare system necessitates the development of digital capabilities across the workforce. This ranges from basic digital literacy through to advanced skills with data and analytic methods. We present two projects that apply co-design to work with end-users and other stakeholders to produce a digital healthcare technologies capability framework aimed at the wider NHS workforce and a post graduate Clinical Data Science course aimed at bridging the gap between clinicians and the data-centric professions (e.

Educating the Healthcare Workforce to Support Digital Transformation.

Digital transformation of the healthcare workforce is a priority if we are to leverage the potential of digital technologies, artificial intelligence in clinical decision support and the potential of data captured within electronic health records. Educational programmes need to be diverse and support the digital novices through to the champions whom will be responsible for procuring and implementing digital solutions. In order to professionalise the workforce in this area, digital competencies need to be built into training from early on and be underpinned by frameworks that help to guide regulators and professional bodies and support educational providers to deliver them.

Modeling Data Journeys to Inform the Digital Transformation of Kidney Transplant Services: Observational Study.

Background: Data journey modeling is a methodology used to establish a high-level overview of information technology (IT) infrastructure in health care systems. It allows a better understanding of sociotechnical barriers and thus informs meaningful digital transformation. Kidney transplantation is a complex clinical service involving multiple specialists and providers.

Artificial intelligence projects in healthcare: 10 practical tips for success in a clinical environment.

There is much discussion concerning 'digital transformation' in healthcare and the potential of artificial intelligence (AI) in healthcare systems. Yet it remains rare to find AI solutions deployed in routine healthcare settings. This is in part due to the numerous challenges inherent in delivering an AI project in a clinical environment.

Using interactive digital notebooks for bioscience and informatics education.

Interactive digital notebooks provide an opportunity for researchers and educators to carry out data analysis and report the results in a single digital format. Further to just being digital, the format allows for rich content to be created in order to interact with the code and data contained in such a notebook to form an educational narrative. This primer introduces some of the fundamental aspects involved in using Jupyter notebooks in an educational setting for teaching in the bio/health informatics disciplines.

Data journeys: Identifying social and technical barriers to data movement in large, complex organisations.

Managers in complex organisations often have to make decisions on whether new software developments are worth undertaking or not. Such decisions are hard to make, especially at an enterprise level. Both costs and risks are regularly underestimated, despite the existence of a plethora of software and systems engineering methodologies aimed at predicting and controlling them.