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Medimate: Where Generative AI Meets Holistic Health

The world of healthcare is highly reactive and MediMate wants to offer a solution to this. MediMate wants to offer Generative AI-driven personalized, proactive and preventive care. Diseases such as diabetes, cardiovascular and stress disorders still have a tight hold on global mortality rates (WHO, 2024). At the same time, health apps are compartmentalized: one analyzes nutrition, another monitors sleep and a third manages prescriptions. MediMate brings them all together. 

MediMate is an AI-powered health platform that combines pharmaceutical safety, holistic wellness, and personalized AI guidance into a single trusted platform. The user can put in symptoms or goals and MediMate’s GenAI engine constructs individualized recommendations including mindfulness, diet and safe use of medication. For acute symptoms, MediMate puts users in direct contact with proven physicians. By combining evidence-based medicine with holistic wellness, the platform empowers users to make healthier choices in their lives. 

MediMate uses a freemium model, so everyone can access free symptom guidance and lifestyle advice. If you want to pay you will unlock more features like: personalized advice, thorough drug-interaction checks, and comprehensive health tracking. Next to subscriptions, MediMate partners with pharmacies and wellness brands and offers institutional licences to insurers, universities and healthcare organizations.

MediMate’s biggest advantage is scalable personalization. Generative AI transforms scattered health data into actionable intelligence for each person. The AI adaptively refines its recommendations as users provide continuous input and feedback, following the “economics of learning” articulated by Shapiro & Varian (1999). The platform benefits from more users, the more users engage with the platform, the stronger the predictions/recommendation will be. This will add to the customer confidence and competitive dominance. 

The prototype is developed using Google’s Gemini API and connects to validated medical databases like RxNorm and the National Center for Complementary and Integrative Health. The chatbot emulates actual consultation by providing natural, context-relevant conversations and cross-checking data for appropriate, holistic suggestions. It also maintains privacy with encryption and adherence to GDPR and HIPAA standards. 

From a social perspective, MediMate responds to the UN’s call for healthier, more equitable platforms. It is directly involved in Good Health and Well-Being (SDG 3), Industry Innovation and Infrastructure (SDG 9) and Reduced Inequalities (SDG 10). In addition to offering free and premium plans, we engage users ranging from students to professionals. 

MediMate is not only a digital helper; it’s a revolutionary way to manage your health. MediMate uses smart AI to connect you, your doctor and your devices. In this way if any problems arise, they are spotted before they become serious. MediMate is the future for medical care in the digital world, which is evolving every day.  

Hereby the link to our prototype: MediMate – Personalized Health Recommendations

References: 

Shapiro, C., & Varian, H. R. (1999). Information rules: A strategic guide to the network economy. Harvard Business School Press. (PDF) Information Rules: A Strategic Guide to The Network Economy 

World Health Organization. (2024). Noncommunicable diseases: Fact sheet. WHO. https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases 

5/5 (1)

When I first started using ChatGPT I used it more for questions I normally asked Google, I saw it as a smart assistant, which answered really fast. After that I found out, it might be useful to use on repetitive tasks like composing emails or summarizing large amounts of text. The more I worked with it, though, my experience taught me that generative AI is so much more than a productivity tool. It’s changed the way I work when it comes to creativity, problem-solving, and even collaboration.

One feature I like best is its flexibility. For a course last year, I requested ChatGPT to rewrite an academic essay for me and other times, to generate brainstorming questions on concepts in visual design. Testimony confirms its flexibility, while ChatGPT and the rest of its peer models are deeply suited to text-to-text applications, its transformer architecture allows it to generalize to a broad set of tasks across a broad set of domains, from coding to translation and reasoning (OpenAI, 2023). This flexibility makes generative AI a “general-purpose technology” with sweeping consequences (Brynjolfsson, Li & Raymond, 2023).

Positive things aside, ChatGPT has his own limits. Occasionally ChatGPT provides you with information that sounds true but is not actually true, what researchers refer to as “hallucinations” (Ji et al., 2023). When I employed it to produce some literature review, for example, I had to check each reference extremely carefully. It does make one faster, but you cannot trust it 100% so the accuracy is still your problem. Another disadvantage is that it is context-sensitive. If the assignment becomes too lengthy or complex, the questions must be properly written, otherwise, the system resorts to generic replies. This is of course only a problem when you must use ChatGPT, if you have to write your own assignments it is not smart to use ChatGPT.

There is the less obvious downside in my opinions. This is that sometimes I find myself relying on it too much. ChatGPT is able to spit out answers rapidly, and I can catch myself accepting them without actually having a good look at them in greater detail. It makes me “a little stupider” as a result, since I do not learn things myself. That has taught me how much we need to use AI critically, as a tool of thinking and not a replacement for it. Still, I catch myself being lazy and simply believe what the chat said.

To be reliable in the future on ChatGPT can do three things, only use trusted academic and professionals databases, so the hallucinations will be less. Second should be showing users how he came to the answer.  Third make the software an open-source so developers and communities can improve the AI. The question is do we want this. If ChatGPT can use all databases, writing something of your own will be harder and if the Chat can do it way quicker than you can why would you do it.

As of this moment, in my opinion ChatGPT and other generative AI should be like an smart and quick assistant. It should not give you the feeling that you do not have to think for yourself anymore. I am curious what the future of ChatGPT will bring and how everybody will adapt to the changes of AI.

References

• Brynjolfsson, E., Li, D., & Raymond, L. (2023). Generative AI at work. Stanford Digital Economy Lab Working Paper. w31161.pdf
• Ji, Z., Lee, N., Fries, J., Yu, T., & Jurafsky, D. (2023). Survey of hallucination in natural language generation. ACM Computing Surveys, 55(12), 1–38. Survey of Hallucination in Natural Language Generation
• OpenAI. (2023). GPT-4 Technical Report. Retrieved from 2303.08774

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Generative AI apps such as ChatGPT are no longer simply about helping you with emails or lines of code today, no they are more than that for example they are increasingly being used in medicine. Medical clinics and hospitals are experimenting with them to compose patient messages, summarize medical reports, and even assist doctors in making diagnostic recommendations (Miliard, 2023). This new insights represents a new stage. Instead of AI being used to automate outlying business functions, it can be used on more critical areas where a human life is at stake.

The potential advantage of this is clear. Doctors and nurses now spend hours dictating reports, filling out forms, and performing administrative work that takes time away from direct patient care. If repetitive documentation was something AI could accomplish all the time, physicians would then have more time to focus on the human side of medicine listening to patients, making difficult decisions, and performing procedures. Moreover, AI can scan medical data in seconds, detecting correlations and patterns that may be invisible to even the most experienced physicians (Jiang et al., 2017).  Especially in the fields off radiology, dermatology, or genomics, the use of AI could lead to faster diagnoses and potentially better outcomes for the patients.

But risks are a real concern. An AI built on partial or prejudiced data could offer incorrect diagnoses, which could endanger some patient lives. Ethical questions come up as well: should patients be told if their discharge note or treatment plan was partly created by a computer program? And what if it goes wrong? Who is accountable the doctor, the hospital, or the tech company? Legal and accountability frameworks for AI in medicine are needed, Gerke, Minssen, and Cohen (2020) argue this and liability finds itself in a troubling gray area.

For these reasons, healthcare AI needs to be accorded with respect and in my opinion as an supportive tool at the moment and not a substitute for professional judgment. The function of the AI needs to be clarified and the responsibility of the patients should still be by the competent professionals

The question is are we ready to accept a medical report or treatment plan if you know this has been prepared partly by AI, I know I need some more clarification and prove before I can accept this.

Gerke, S., Minssen, T., & Cohen, G. (2020). Ethical and legal challenges of artificial intelligence–driven healthcare. Nature Medicine, 26(9), 1327–1334. Ethical and legal challenges of artificial intelligence-driven healthcare – ScienceDirect

Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., … & Wang, Y. (2017). Artificial intelligence in healthcare: Past, present and future. Stroke and Vascular Neurology, 2(4), 230–243. Artificial intelligence in healthcare: past, present and future – PMC

Miliard, M. (2023, March 17). Hospitals test ChatGPT for patient communication and medical records. Healthcare IT News. https://www.healthcareitnews.com