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Polish iDocly’s AI-Powered System Aims to Free Up Hours for Doctors

понеделник, 04 ноември 2024 14:14
  • Polish startup iDocly (Coraz Zdrowiej in Polish) announced they have raised around €2.4 million (PLN 10.5 million) to streamline doctors’ work by automating medical records.
  • Malopolska Centre for Entrepreneurship and a private investor were participating in the round. 

€2.4 million to streamline doctor workflows

The startup iDocly (PL – Coraz Zdrowiej) aims to give doctors back as much as two hours per day by relieving them of tasks that machines can handle. The company’s CORA system is designed to streamline doctors’ workflows by automating medical documentation. 

The startup announced they have raised around €2.4 million with Malopolska Centre for Entrepreneurship, in a competition that selected 19 projects from more than 300 applications, and an undisclosed private investor.

“Our company focuses on making doctors’ work more efficient, as they currently have to spend a significant part of each visit on medical documentation, often called “paperwork.” We decided to change this, so we developed the CORA system, which acts as a medical assistant. CORA listens to the doctor-patient conversation and automatically completes medical documentation. This allows doctors to fully focus on the patient rather than the computer,” shared Hubert Zielinski, co-founder of Coraz Zdrowiej.

The AI-powered assistant CORA

Zielinski explained that their system is fundamentally based on artificial intelligence, distinguishing it from simple overlays on popular tools like ChatGPT. 

They’re working on a specialized model tailored to grasp the complexities of Polish medical language, which he noted is essential, as no existing global technology fully supports Polish medical terminology at this level. “The team responsible for CORA’s development comprises experts from various fields, including doctors and AI specialists. Collaboration with researchers from AGH University in Kraków allows us to continuously improve the system,” he shared.

Furthermore, Zielinski highlighted that the model can extract critical information from casual doctor-patient conversations, converting it into clear, concise medical notes. Doctors have the option to edit or directly approve the final document, maintaining complete control over the content.

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