BlockMed Pro provides a patient-centric EHR platform leveraging AI and blockchain for secure health data management. It empowers patients to control and monetize their data for research, while enabling pharmaceutical companies to access longitudinal, consented datasets for advanced analytics and drug development.
Funding
$50K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current electronic health record (EHR) systems often lack patient control over their data and struggle with secure, transparent data sharing for research. This limits patients' ability to leverage their health information and hinders pharmaceutical companies' access to comprehensive, longitudinal data for advanced analytics and medical research.
Solution
BlockMed Pro offers a patient-centric EHR platform that integrates AI and blockchain technology to provide secure, transparent, and auditable health record management. Patients gain granular control over their medical data, with the option to monetize it for research purposes through advanced pseudonymization and encryption. Pharmaceutical companies can access detailed, long-term patient data for sophisticated analytics, cohort selection, and predictive modeling. The platform's interoperability ensures seamless data flow between patients, providers, and researchers, facilitating improved treatment planning and health outcomes.
Target Audience
The primary target audience includes pharmaceutical companies and medical research institutions seeking high-quality, patient-consented data for drug development and clinical research, as well as healthcare providers and patients looking for a secure and empowering EHR solution.
Features
- Blockchain-secured EHR system ensuring data immutability and tamper-proof records.
- AI-powered analytics for pattern identification, trend prediction, and data visualization from aggregated health data.
- Patient-controlled data access with granular permissions and audit trails for all record interactions.
- Secure data monetization framework allowing patients to consent to and be compensated for sharing their health information for research.
- Advanced encryption and pseudonymization techniques to protect patient privacy while enabling data utility.
- Interoperability features designed for seamless data exchange with existing healthcare systems and providers.
- Machine learning models for cohort identification, outcome analysis, and treatment response tracking.