Connected Health


Implementing digital health is more than just deploying new technologies or devices. The rapid advancement of technology in healthcare also requires a specialised workforce who understand and the significance of the sociotechnical dimensions in digital health implementations and have the capability to part of the digital transformation agenda.  Connected Health is a field in healthcare that seeks to use technology and health information to improve patient outcomes.  Digital health solutions to improve integrated care, community care and home-based care can be seen as connected health solutions. These solutions will record and gather data and health information (such as exercise, diet, vital signs, wellbeing data etc) about an individual from data gathered by applications, sensors and new or proposed other healthcare technology devices (smartphones etc). This vast array of health information can be valuable for making decisions about individual care, but also for managing the future of health services more broadly. Health services, researchers and companies are all keen to have access to this information. Important elements of connected health are healthcare ICT, Interoperability, healthcare Infrastructure; Processes; Solutions and Applications and health data and information standards. Connected Health is a paradigm shift looking after the individual in a process that speaks to the health journey of the person, through the entire lifespan, leveraging a variety of technologies, data, and information to do so. This module is intended to balance the enhancement of student’s ability to use data and technology effectively, with an understanding of the context of application in the evolving digital health landscape. 

Learning Outcomes

  1. Analyse how populations and individuals currently use health-related devices and apps to inform their health behaviour choices through the use of information & data 

  2. Critically appraise health information standards & common representations of health data & information (including ICD, SNOMED, ICNP)

  3. Analyse electronic healthcare system/healthcare application interoperability levels, policies;perspectives;approaches, models and standards

  4. Apply ethical considerations and approval processes related to dataset privacy when adopting a P5 Model of Healthcare for connected health.

  5. Assess the impact of Artificial Intelligence (AI) and the integration of this technology into processes and products used in connected health

  6. Interpret open innovation (OI) perspectives and how adoption can accelerate improvements in the quality of healthcare innovation & delivery. 

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