Overview

Details

This session contains two 40 minute panels.

Historically the field of health informatics has led in the creation and implementation of new technology, as well as in raising ethical and legal issues related to healthcare. With the worldwide growth in clinical information systems, person-generated health information, genomic data management systems, similar systems and frameworks can provide insights around the innovation and adoption of new technology. Although the growth in artificial intelligence and machine learning have enabled new tools, health systems and patients still are subject to the same life and death stakes. This panel will identify weaknesses in existing ethical, legal, and social paradigms with regard to clinical information systems, genomics-related technologies, patient safety and quality systems, and person-generated health data collection and consider ethical concerns affecting individual citizens and societies as a whole. Discussion with the audience will focus on identifying potential approaches to manage these ethical issues across cultures with varying legal standards and cultural expectations.

This panel will first provide an overview of telehealth, showing its scope and possibilities and explain how implementation needs a change management approach. The different panellists have had experience in reskilling existing health workers on digital care besides creating a de-novo digital health workforce, One key learning imbibed from previous project implementations has been that the local care provider, who seeks tele-support for his/her respective patient should also be capable of performing some basic health related tasks like blood pressure or sugar checks etc, ensuring that need for visits to a distant facility is minimized further, reserved for more complex needs.

We plan a structured discussion of people with different methodological approaches to discuss, in a series of rounds, what they think when it comes to building capacity for telehealth digital assistants. First, each panellist will describe their own work in this direction and relevant learnings. Thereafter, discussions will focus on overlaps and/or divergences of the different experiences. Finally, we request the audience to comment on what they learned, to offer further suggestions and comments besides asking questions about individual methodologies.

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