Andaman7 Launches AI Supercharged Personal Health Record v5

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Andaman7, the free app transforming healthcare communications and bridging the gap between patients and researchers, has launched an update with advanced artificial intelligence (AI) capabilities. Version 5 of the app offers patients deeper insights into their own data, allowing researchers to leverage increased patient engagement for easier, faster, and better-quality studies and post market research.

Andaman7 v5 offers patients an enhanced understanding of their health record documents through three new AI tools:

  • Simplification: Andaman7 AI streamlines complex medical information, converting medical jargon into text which is easier for patients to understand.
  • Summarization: An AI-powered summarization extracts key insights allowing patients to quickly grasp the content of lengthy reports.
  • Translation: A translation tool ensures health information is always accessible and understood, regardless of the document’s original language or the reader’s language.

All the new features work on multiple formats, including photos and scans of paper documents.

Patient Advocate and Andaman7 Founder Vincent Keunen said: “Andaman7 v5 is the next significant stride towards empowering patients to become actors in their own health by increasing not just access to data but understanding of medical records. It highlights how AI can be groundbreaking for patients, giving them more autonomy and improving communication with providers. Andaman7 v5 also has important implications for the industry. It allows greater insight into a patient’s medical history, offers new opportunities for real-world data (RWD) collection, and allows researchers to leverage the increased patient engagement which comes with increased understanding.”

Andaman7 is committed to continuous innovation and is already working on the next groundbreaking AI features. First, a hybrid Personal Health Record (PHR) summary combining structured data from the PHR with unstructured data extracted from documents using AI. Second, codification of unstructured data which, among other applications, will facilitate patient recruitment to clinical trials by identifying candidates based on inclusion and exclusion criteria. Third, data collection via AI-enabled scraping to allow patients around the world to scrape their patient portal and download data into their PHR. Watch this space for more on these exciting developments soon.