Research Article
Towards a Trusted Collaborative Medical Decision-Making Platform
@INPROCEEDINGS{10.1007/978-3-030-67540-0_25, author={Hamza Sellak and Mohan Baruwal Chhetri and Marthie Grobler}, title={Towards a Trusted Collaborative Medical Decision-Making Platform}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 16th EAI International Conference, CollaborateCom 2020, Shanghai, China, October 16--18, 2020, Proceedings, Part II}, proceedings_a={COLLABORATECOM PART 2}, year={2021}, month={1}, keywords={Shared decision-making Clinical encounter Consensus building Privacy Accountability Trust Blockchain}, doi={10.1007/978-3-030-67540-0_25} }- Hamza Sellak
Mohan Baruwal Chhetri
Marthie Grobler
Year: 2021
Towards a Trusted Collaborative Medical Decision-Making Platform
COLLABORATECOM PART 2
Springer
DOI: 10.1007/978-3-030-67540-0_25
Abstract
Traditionally, shared decision-making has been considered as a one-off dyadic encounter between a patient and physician within the confines of the consultation room. In practice, several stakeholders are involved, and the decision-making process involves multiple rounds of interaction and can be influenced by different biopsychosocial, cultural, spiritual, financial, and legal determinants. Thus, there is an opportunity for developing an innovative digital platform for distributed collaborative medical decision-making. However, given the sensitive nature of data and decisions, there are several challenges associated with safeguarding the consent, privacy, and security of the contributors to the decision-making process. In this paper, we propose a conceptual framework and reference architecture for a trusted collaborative medical decision-making (TCMDM) platform that addresses some of these challenges by using a consensus building mechanism built on top of blockchain technology. We illustrate how the TCMDM platform functions by using a real-life use case scenario of an early stage breast cancer patient collaborating with other stakeholders to reach consensus on the best treatment plan.
