Should I Build It Should I Build It
03 May 2025
Artificial Intelligence Medical Health & Fitness

Senna it’s a medical tool similar to ChatGPT, the doctors can search ...

...medical tools like scales, dosages and more. In this tool you can write the medical record of the patient and get feedback on important points about the patient and recommendations for the treatment and management

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Run Away

Multiple attempts have failed with clear negative feedback. Continuing down this path would likely waste your time and resources when better opportunities exist elsewhere.

Should You Build It?

Don't build it.

Your are here

The idea of Senna, an AI-powered medical tool to assist doctors, falls into a crowded space. There are 22 similar products, which signals high competition. While this indicates a potential market need, it also suggests a higher barrier to entry. The engagement for these types of products is high, averaging 12 comments, suggesting active interest and discussion. However, the lack of positive signals regarding both user intent and purchase intent indicates that many similar products have failed to gain traction. You're in a tough spot, so tread carefully.

Recommendations

  1. Read through the negative comments from the similar product launches to understand the pain points and reasons for rejection. Common criticisms include concerns about data accuracy, AI hallucinations, and privacy/compliance (HIPAA, GDPR). Understand these shortcomings to avoid repeating mistakes.
  2. Talk to at least three doctors who have tried similar AI-based medical tools. Understand their specific needs, frustrations, and what would make such a tool truly valuable in their daily workflow. Don't rely on assumptions; gather direct user feedback.
  3. Consider how your skills and technology could be applied to a related but different problem within the medical field. Are there niche areas or unmet needs where AI could provide a more focused and impactful solution? This could involve focusing on a specific medical specialty or a particular type of patient care.
  4. If you've already started building Senna, evaluate if the underlying technology can be repurposed for a different healthcare application. Perhaps the AI engine could be used for medical coding assistance, drug interaction analysis, or personalized patient education materials.
  5. Explore if Senna can address concerns regarding privacy, data security, and compliance, which were frequently raised in the negative feedback for similar products. Implement robust security measures and transparency in data handling to build user trust.
  6. Carefully select your target audience. Will you initially focus on hospitals, clinics, or individual practitioners? Tailor your messaging and features to resonate with the specific needs of your chosen segment.
  7. Given concerns about AI hallucinations and accuracy, prioritize rigorous testing and validation of Senna's recommendations. Incorporate mechanisms for explainable AI (XAI) to increase transparency and trust in the AI's decision-making process.
  8. Address potential copyright and legal issues related to medical information and AI-generated content. Consult with legal experts to ensure compliance with regulations and prevent future lawsuits.
  9. Apply everything you've learned from analyzing the competitive landscape and gathering user feedback to iterate on Senna's design and features. Focus on creating a product that is not only innovative but also practical, reliable, and trustworthy.

Questions

  1. Given the strong concerns about data accuracy and AI hallucination in the comments of similar products, what specific measures will Senna implement to ensure the reliability and validity of its medical recommendations and prevent the dissemination of incorrect or misleading information?
  2. Considering the sensitivity of patient data and the regulatory requirements of HIPAA and GDPR, how will Senna ensure the privacy and security of patient information, and what steps will be taken to address the concerns raised about data breaches and unauthorized access?
  3. Given the criticisms of existing AI medical tools regarding their impact on the doctor-patient relationship and the potential for deskilling healthcare professionals, how will Senna be designed to complement and enhance the role of physicians, rather than replace them, and what training will be provided to ensure its responsible and effective use?

Your are here

The idea of Senna, an AI-powered medical tool to assist doctors, falls into a crowded space. There are 22 similar products, which signals high competition. While this indicates a potential market need, it also suggests a higher barrier to entry. The engagement for these types of products is high, averaging 12 comments, suggesting active interest and discussion. However, the lack of positive signals regarding both user intent and purchase intent indicates that many similar products have failed to gain traction. You're in a tough spot, so tread carefully.

Recommendations

  1. Read through the negative comments from the similar product launches to understand the pain points and reasons for rejection. Common criticisms include concerns about data accuracy, AI hallucinations, and privacy/compliance (HIPAA, GDPR). Understand these shortcomings to avoid repeating mistakes.
  2. Talk to at least three doctors who have tried similar AI-based medical tools. Understand their specific needs, frustrations, and what would make such a tool truly valuable in their daily workflow. Don't rely on assumptions; gather direct user feedback.
  3. Consider how your skills and technology could be applied to a related but different problem within the medical field. Are there niche areas or unmet needs where AI could provide a more focused and impactful solution? This could involve focusing on a specific medical specialty or a particular type of patient care.
  4. If you've already started building Senna, evaluate if the underlying technology can be repurposed for a different healthcare application. Perhaps the AI engine could be used for medical coding assistance, drug interaction analysis, or personalized patient education materials.
  5. Explore if Senna can address concerns regarding privacy, data security, and compliance, which were frequently raised in the negative feedback for similar products. Implement robust security measures and transparency in data handling to build user trust.
  6. Carefully select your target audience. Will you initially focus on hospitals, clinics, or individual practitioners? Tailor your messaging and features to resonate with the specific needs of your chosen segment.
  7. Given concerns about AI hallucinations and accuracy, prioritize rigorous testing and validation of Senna's recommendations. Incorporate mechanisms for explainable AI (XAI) to increase transparency and trust in the AI's decision-making process.
  8. Address potential copyright and legal issues related to medical information and AI-generated content. Consult with legal experts to ensure compliance with regulations and prevent future lawsuits.
  9. Apply everything you've learned from analyzing the competitive landscape and gathering user feedback to iterate on Senna's design and features. Focus on creating a product that is not only innovative but also practical, reliable, and trustworthy.

Questions

  1. Given the strong concerns about data accuracy and AI hallucination in the comments of similar products, what specific measures will Senna implement to ensure the reliability and validity of its medical recommendations and prevent the dissemination of incorrect or misleading information?
  2. Considering the sensitivity of patient data and the regulatory requirements of HIPAA and GDPR, how will Senna ensure the privacy and security of patient information, and what steps will be taken to address the concerns raised about data breaches and unauthorized access?
  3. Given the criticisms of existing AI medical tools regarding their impact on the doctor-patient relationship and the potential for deskilling healthcare professionals, how will Senna be designed to complement and enhance the role of physicians, rather than replace them, and what training will be provided to ensure its responsible and effective use?

  • Confidence: High
    • Number of similar products: 22
  • Engagement: High
    • Average number of comments: 12
  • Net use signal: -6.5%
    • Positive use signal: 5.8%
    • Negative use signal: 12.3%
  • Net buy signal: -9.9%
    • Positive buy signal: 0.3%
    • Negative buy signal: 10.2%

This chart summarizes all the similar products we found for your idea in a single plot.

The x-axis represents the overall feedback each product received. This is calculated from the net use and buy signals that were expressed in the comments. The maximum is +1, which means all comments (across all similar products) were positive, expressed a willingness to use & buy said product. The minimum is -1 and it means the exact opposite.

The y-axis captures the strength of the signal, i.e. how many people commented and how does this rank against other products in this category. The maximum is +1, which means these products were the most liked, upvoted and talked about launches recently. The minimum is 0, meaning zero engagement or feedback was received.

The sizes of the product dots are determined by the relevance to your idea, where 10 is the maximum.

Your idea is the big blueish dot, which should lie somewhere in the polygon defined by these products. It can be off-center because we use custom weighting to summarize these metrics.

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