Health Scanner (Professionals)
Screenshot of Health Scanner

Health Scanner

Health Scanner consolidates medical records from multiple facilities, uses AI to identify health risks, and rewards patient engagement with tokens and

Screenshot

What is Health Scanner?

Health Scanner is a Patient Health Record system that consolidates medical information from different facilities into one place. It uses AI models like GPT-3, GPT-4, and Gemini to analyze text and images from health records, identify potential risks, and suggest treatments available at the patient’s current medical facility.

The system is platform-independent — it isn’t tied to a single hospital system and works from any device. It acts as a simulated Internal Medicine Consultant, working alongside — not replacing — the expertise of licensed healthcare professionals. Privacy and data security are core to its design.

Who created Health Scanner?

Health Scanner was developed by a team of developers and healthcare providers. It launched with a complete Patient Health Record system that lets users combine records from various facilities, share them securely, and receive treatment recommendations.

What is Health Scanner used for?

  • Consolidating records from multiple healthcare facilities into a single, accessible place.
  • Scanning and securely sharing medical records with healthcare practitioners.
  • Identifying potential health risks based on past health history.
  • Recommending additional treatments available at your medical facility.
  • Improving medication adherence insights for doctors, enabling quicker risk identification and better treatment outcomes.
  • Rewarding patient engagement with tokens and coupons.
  • Improving communication between patients and doctors through accurate, up-to-date records.

Benefits

For patients, Health Scanner offers more control over personal health data, easier conversations with doctors, and incentives for staying engaged with their health. For healthcare providers, it provides a clearer picture of medication adherence, faster risk detection, and the potential for improved treatment results. The stated goals are better healthcare delivery, improved patient outcomes, and strong protection of personal health data.

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