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From Theory to Practice: Viewpoint on Economic Indicators for Trust in Digital Health.

J Med Internet Res

January 2025

Department of Health Services Research Management, AI and Digital Health Lab (Centre for Healthcare Innovation Research), City St George's University, London, United Kingdom.

User trust is pivotal for the adoption of digital health systems interventions (DHI). In response, numerous trust-building guidelines have recently emerged targeting DHIs such as artificial intelligence. The common aim of these guidelines aimed at private sector actors and government policy makers is to build trustworthy DHI.

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Background: Adverse medicine events (AMEs) are unintended effects that occur following administration of medicines. Up to 70% of AMEs are not reported to, and hence remain undetected by, health care professionals and only 6% of AMEs are reported to regulators. Increased reporting by consumers, health care professionals, and pharmaceutical companies to medicine regulatory authorities is needed to increase the safety of medicines.

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Background: Strong partnerships, community engagement, and multisectoral collaboration in the health supply chain are synergistic pillars towards achieving universal health coverage. In Rwanda, the health supply chain involves the collaboration of various stakeholders, including distributors, manufacturers, wholesalers, and customers. However, since the eruption and ending of COVID-19, there has not been any study to assess stakeholders' perspectives on the status of the benefits, challenges, and best practices of collaborative partnerships among health supply chain stakeholders in Rwanda.

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