LogDoctor: an open and decentralized worker-centered solution for occupational management in healthcare

TL;DR

LogDoctor is a decentralized, open-source platform utilizing blockchain and machine learning to empower healthcare workers in occupational management, addressing current gaps in time-tracking and compliance.

Contribution

It introduces a novel worker-centered, decentralized solution combining blockchain and AI for occupational health monitoring in healthcare.

Findings

Successful pilot programs demonstrate improved worker autonomy.

Blockchain ensures compliance with data protection laws.

Stakeholder engagement increases adoption and trust.

Abstract

Occupational stress among health workers is a pervasive issue that affects individual well-being, patient care quality, and healthcare systems' sustainability. Current time-tracking solutions are mostly employer-driven, neglecting the unique requirements of health workers. In turn, we propose an open and decentralized worker-centered solution that leverages machine intelligence for occupational health and safety monitoring. Its robust technological stack, including blockchain technology and machine learning, ensures compliance with legal frameworks for data protection and working time regulations, while a decentralized autonomous organization bolsters distributed governance. To tackle implementation challenges, we employ a scalable, interoperable, and modular architecture while engaging diverse stakeholders through open beta testing and pilot programs. By bridging an unaddressed technological gap in healthcare, this approach offers a unique opportunity to incentivize user adoption and align stakeholders' interests. We aim to empower health workers to take control of their time, valorize their work, and safeguard their health while enhancing the care of their patients.