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    10BedICU Leverages OpenAI’s API, Creates AI Tools for Medical record entry

    What’s the news: 10BedICU, an initiative that seeks to create critical care ICUs in India’s rural government hospitals, uses OpenAI’s API to develop three AI-powered healthcare tools to deal with the recording of patients’ health data.

    According to Srikanth Nadhamuni, Founder of 10BedICU, the initiative has been developing software tools for its CARE platform to help medical providers in their daily work. “AI can take us many steps further by simplifying medical providers’ jobs so they have the capacity to serve more patients in a day,” he said.

    Three of 10BedICU’s AI tools are already being used in India:

    In a blog post by OpenAI, 10BedICU shared it is developing three tools:

    CARE Scribe: The tool uses OpenAI’s Whisper API and GPT-4 to automatically transcribe doctor-patient interactions and convert them into structured Electronic Medical Records (EMR) entries. The tool works for English, as well as Hindi, Malayalam, and Bengali, which makes it easier for people to talk in their native language. The tool is currently being tested in a palliative care center in Kerala.

    The tool is reminiscent of the HealthScribe software launched by Amazon in July 2023, although the service was only available in the US back then. Read more about the tool here.

    CARE Discharge Summary: The GPT-4 powered tool “automates the summarization of patient records to ensure seamless continuity of care.” As per the blog, CARE Discharge Summary is currently being piloted in 50 hospitals across India.

    CARE Device Connect: The tool employs GPT-4 Vision to integrate data from older, incompatible hospital monitors into the CARE platform. By capturing monitor readings with high-resolution cameras and uploading the data in real-time, CARE Device Connect enables continuous patient monitoring.

    “10BedICU is working with the State of Karnataka to pilot the tool across 43 hospitals and hopes to leverage CARE Device Connect to facilitate the transition of existing ICUs to SmartICUs,” stated the blog.

    Who has access to this data?

    Regarding the collection of data, 10BedICU said it does not collect “personally identifying information and partners with state governments to ensure compliance with privacy and data government laws.” However, the blog does not specify which data qualifies as “personally identifying information.” This is important in the context of health data because data points like age, sex, and sexual activity may need to be retained in a patient’s data file for health reasons.

    Moreover, the blog does not mention OpenAI’s position in all of this. Will OpenAI have access to the health data of Indian citizens? This is also important considering some of OpenAI’s employees recently resigned claiming the company prioritized product development over safety measures.

    What about accuracy and bias?

    There is also the question of an AI’s accuracy in its generated content and bias picked up from the datasets that the AI is trained on. In the health sector, training AI on such biased datasets can create inequities in healthcare software as well. Even ChatGPT and automated speech recognition tools that synthesize text or speech and generate outputs have exhibited tendencies to produce incorrect and biased information. In the case of Amazon’s HealthScribe, medical practitioners could review the data transcribed by the AI. What happens in case of CARE platforms’ AI tools?

    Also Read:

    The post 10BedICU Leverages OpenAI’s API, Creates AI Tools for Medical record entry appeared first on MEDIANAMA.

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