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Dr George LaliotisAI is transforming the world. With the creation of ChatGPT and other such chatbots, it’s interesting to see the impact of AI on healthcare as a whole. But trusting ChatGPT with a medical diagnosis would be dangerous.
Luckily, many chatbots in healthcare do the job better.
Are there AI-powered chatbots in healthcare that can be as reliable as a med-school-trained doctor? How can an individual get a timely consultation from a chatbot that will not misdiagnose them?
Due to the controversial nature of chatbots in healthcare, we are here to bust the myths surrounding medical AI chatbots.
Chatbots in healthcare are relatively new, just like other AI-powered chatbots like ChatGPT. But what is the role of these healthcare chatbots in today’s landscape of patient care? What gap are they filling in the market?
Ultimately, medical chatbots are tackling 3 main issues:
Artificial Intelligence Healthcare Chatbot Systems can answer FAQs, provide second opinions on diagnosis, and help out in appointment scheduling. This is a win-win situation for both patients and healthcare providers.
With all the disadvantages of chatbots in healthcare, it’s crucial to look at the good side as well. What are the benefits of using an AI chatbot for healthcare? Let us tell you about the 3 main benefits you should take note of.
Now that you know about the main benefits of chatbots in healthcare, let us tell you about a couple of the best chatbots that exist today.
We’ve covered most of the theoretical ins and outs of medical chatbots. So, it’s now time to put it to practice and show you the 4 top AI-powered chatbots in healthcare you can see today.
The best healthcare chatbots available today have different missions, and consequently, different pros and cons. If you’re interested in learning about an alternative source of medical advice or simply want to learn about the top health chatbots that exist today, let us show you the way.
One of the first healthcare chatbot companies we wanted to talk about is Google’s Med-PaLM 2. As a state-of-the-art healthcare chatbot, this technology is the predecessor to Med-PaLM, which only scored 67.5% on the US medical exam.
This AI-powered chatbot is certainly growing under the supervision of Google’s Research team. When testing is complete and this product hits the market, it will be an amazing alternative medical advice tool.
Next up, we have one of the best examples of chatbots in healthcare - Docus.ai. It is trained on a large dataset and provides a list of possible diagnoses for your healthcare needs. It also provides the other side of the coin, which is human oversight. How so?
Docus.ai hosts a base of 300+ top doctors from 15+ countries who are ready to give you a consultation and validate your diagnosis in a timely manner.
The chatbot is available 24/7 and features a free version.
Babylon Health is an all-in-one digital healthcare app. It features many tools, such as online doctor consultations, appointment settings, and, most importantly, a symptom checker.
On paper, the company is claiming that it provides a greater level of accuracy in its recommendations, but government bodies are worried about the narrative they are perpetuating.
In any case, this AI-powered chatbot is able to analyze symptoms, find potential causes for them, and follow up with the next steps. While the app is overall highly popular, the symptom checker is only a small part of their focus, leaving room for some concern.
Buoy has a very heartwarming story regarding how it all started. They are trying to improve the front door of healthcare. In other words, they’re trying to fix the first step people take when they start feeling bad.
While most people would use Google and probably misdiagnose themselves, Buoy has come up with a solution. They built one of the most highly intuitive AI-powered chatbots in healthcare, which could come up with possible diagnoses for a patient’s symptoms by asking around 20 questions.
With each answer you give the chatbot, it eliminates a couple of diagnosis options until it finally lands on the most likely ones. Afterward, the chatbot helps you decide on the next steps and choose the best follow-up variant that suits you the best, both in terms of money and convenience.
Here you have it folks - the 4 top AI-powered chatbots in healthcare today.
While most of them revolve around generating a quick diagnosis and helping you decide on the next steps, there are still other use cases for medical chatbots. So, without further ado, let’s talk about them
We’ve already discussed the role of top health chatbots, but what are their use cases? Well, you can find anything from a chatbot for medical diagnosis to chatbots for mental health support.
What else can chatbots in healthcare do? Let’s dive a little deeper and talk about a couple of the top chatbot use cases in healthcare.
AI-powered chatbots in healthcare can provide an initial symptom assessment when provided with answers to relevant questions. This simply streamlines the process of patient care by moving things along and directing patients to the relevant specialists in a quicker way.
Chatbots like Docus.ai can even validate these diagnoses with top healthcare professionals from the US and Europe.
Another top use of chatbots in healthcare is in the sphere of appointment scheduling. This way, you don’t need to call your healthcare provider to get an appointment anymore.
AI-powered chatbots in healthcare can handle all your appointment bookings, cancellations, and rescheduling needs. Ultimately, this reduces wait times and improves convenience in patient care.
The third use case for medical chatbots is mental health support. In a world where an anxiety attack can happen at any time, you can rest easy knowing that you have AI-powered chatbots in healthcare to rely on.
They are trained to have empathetic conversations with patients, so when you’re experiencing a mental health issue, they’re there to provide mental support, and necessary resources, and teach you coping methods to help you deal with almost any situation.
Last but not least, the 4th top use case for AI healthcare chatbots is medication reminders. These automated chatbot medical assistants can send you timely reminders for many things, including medication schedules, instructions for dosages, and potential interactions between drugs you’re taking.
Now that you know more about chatbot healthcare use cases, let’s move on and talk a bit about what the future holds.
The potential of healthcare chatbots is unimaginable. But don’t worry, they won’t be replacing doctors anytime soon. So what does the future of chatbots in healthcare look like?
Currently, and for the foreseeable future, these chatbots are meant to assist healthcare providers - not replace them altogether. At the end of the day, human oversight is required to minimize the risk of inaccurate diagnoses and more.
There are advancements in natural language understanding, emotional intelligence, and the integration of chatbots with wearable devices and telemedicine platforms. This means that the capabilities of AI-powered chatbots in healthcare will continue to grow.
The healthcare chatbot's market size was valued at around $211 million as of 2022. With a CAGR of 15% over the upcoming couple of years, the healthcare chatbot market growth is astonishing.
Nevertheless, everything good can have a bad side as well. For healthcare chatbots, this comes in the form of ethical issues, data privacy, and the requirement for human oversight.
Chatbot technology in healthcare is undergoing advancements on a daily basis, and we’re excited to see the importance of chatbots in healthcare changes as we develop new technologies.
AI-powered chatbots in healthcare have a plethora of benefits for both patients and healthcare providers. Top health chatbots can enhance patient engagement, provide personalized approaches and recommendations, save time and resources for doctors, and improve the overall healthcare experience for everyone involved.
On top of all that, they are available 24/7 to anyone with an internet connection.
Usually, chatbots in healthcare use natural language processing (NLP) algorithms or large language models (LLM) and ML techniques to understand user queries and generate relevant responses.
Different types of chatbots in healthcare require different advantages, and the strengths of these algorithms are dependent on the training data they are provided.
With all the benefits of AI-powered chatbots in healthcare, there are bound to be some downfalls. The biggest disadvantage of chatbots in healthcare are the potential biases in their responses. Although there is no human error here, there can still be discrepancies that lead to misdiagnoses.
Since medical chatbots learn from the training data they were given, the projections of this data can lead to inequalities and inaccuracies. Therefore, the biggest challenge that healthcare chatbot developers face is ensuring the accuracy of responses.
AI-powered chatbots in healthcare are changing the game. From Docus.ai to MedPaLM 2, these chatbots improve almost every aspect of patient care. They streamline workflows for healthcare staff, engage patients in their own health, and give 24/7 assistance to virtually anyone in the world.
Use cases for healthcare chatbots vary from diagnosis and mental health support to more routine tasks like scheduling and medication reminders.
While there are some challenges left to be addressed, we’re more than excited to see how the future of chatbots in healthcare unfolds.
Chatbots will not replace doctors in medicine anytime soon, but they will likely become indispensable tools in patient care as AI continues to undergo major breakthroughs.
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Talk to Docus AI Doctor, generate health reports, get them validated by Top Doctors from the US and Europe.