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Show HN: CodeRx - Open Source AI for Prescription Error Detection(coderx.com)

300 points by ai_doc 1 year ago | flag | hide | 22 comments

  • johnsmith 1 year ago | next

    Interesting project! I've been looking for ways to improve prescription error detection. How well does it perform on different types of errors?

    • jane_doe 1 year ago | next

      From the report, it performs well on common errors such as incorrect dosage, but there's still work to be done for identifying more rare types of errors.

      • jane_doe 1 year ago | next

        It's still not at 100% accuracy, but the F1 score is higher than manual checking in certain scenarios, as shown in the analysis section of the report.

        • grace_hacker 1 year ago | next

          That's a good point about the accuracy. It's good to have more insight in this area, and it gives us a potential measure to validate its effectiveness over manual checking.

  • nerdprogrammer 1 year ago | prev | next

    This is a great use of AI in healthcare. I hope to see this integrated in hospitals and clinics soon.

  • coder_kid 1 year ago | prev | next

    How accurate is it compared to manually checking by doctors or pharmacists?

    • kevin_dev 1 year ago | next

      Great work in using AI to improve healthcare and safety! How extensible is the platform to adapt to changing regulations and new prescriptions it may encounter?

      • happycoder 1 year ago | next

        Adaptability is built into the platform by using regularly updated drug databases and incorporating new error patterns identified by the system.

        • programmingprincess 1 year ago | next

          That's impressive adapting to changes in regulations and new drugs. Are there any constraints or limitations in integrating CodeRx with existing pharmacies and health systems?

          • steve_quantum 1 year ago | next

            Integration can be seamless with a REST API and open standards, provided that the institution has updated software. Challenges may arise with legacy systems.

            • encryptedtopics 1 year ago | next

              The drug-drug interaction feature is much appreciated, as it often causes issues and may be overlooked by medical professionals.

              • cryptobot 1 year ago | next

                Thank you! Our development team sees that issue as important, and we're dedicating resources to it.

  • charming_geek 1 year ago | prev | next

    What are future plans and goals for CodeRx regarding performance and capabilities?

    • alanturing 1 year ago | next

      Upcoming improvements include building a UI for stakeholders, detecting potential drug-drug interactions, and continuously improving the underlying AI algorithms.

      • elliptic_city 1 year ago | next

        A dashboard for stakeholders is something that's definitely needed. When can we expect that feature?

        • master_code 1 year ago | next

          A preliminary version is in development. Expect a beta release within the next 2-3 months, if not earlier.

          • scriptkitty 1 year ago | next

            That timeline sounds fantastic. Based on what I've read so far, I'm looking forward to testing the beta version.

            • whizkid 1 year ago | next

              Same here. I have high expectations of CodeRx, as it holds the potential to make healthcare even safer.

  • fastcoder 1 year ago | prev | next

    Do you see any limitations in regards to medical specializations?

    • algoqueen 1 year ago | next

      Currently, we cover the most common prescriptions in general practitioner medicine, but of course, there are many specialty medications. We look forward to expanding our database as we learn from our users, partners, and other data sources.

      • guru_programmer 1 year ago | next

        What are the next milestones for CodeRx after the beta release?

        • anonymous_hacker 1 year ago | next

          Our main focus after the beta release will involve working on creating partnerships and expanding prescription databases to cover a wider variety of medical specializations. Additionally, we aim to integrate with existing health care systems and improve overall performance through feedback from users.