Before I explain how you can use ChatGPT and Generative AI in the Patient Journey, here is some background information on the new technologies.
What is ChatGPT?
ChatGPT is an advanced machine learning model designed to generate human-like text based on the prompts given to it. It works in a similar way to a neural network in the human brain, but in a digital environment, i.e. in the form of software. Here are some important features:
- Data and training: ChatGPT was trained with an enormous amount of text data. Much like a medical student who learns by studying books and clinical cases, ChatGPT has learned from this text data to generate human-like text.
- Neural networks: The underlying model of ChatGPT is based on so-called “transformers”. These are special types of neural networks that are able to recognize complex patterns and correlations in data. You can think of it as the synapses and neurons in the human brain that process and store information.
- Interaction: When you ask ChatGPT a question or give it a prompt, it searches through its “memories” (i.e. what it has learned during training) and tries to generate the most relevant and coherent answer. It’s like asking a colleague a question and they answer based on their knowledge and experience.
- Adaptability: Although ChatGPT has already been trained with a huge amount of data, it can still be adapted and trained for specific tasks. It is comparable to a doctor who specializes in a particular field after having received general medical training.
- Ethics and limitations: While ChatGPT is capable of answering a variety of questions, it has no emotion, awareness or ethical judgment. It is important to be aware of your limits, especially in sensitive areas such as medicine.
You can read more about ChatGPT in my ChatGPT explanation article.
What is Generative AI?
Generative artificial intelligence (AI) refers to AI models that are able to create new content similar to that with which they have been trained. These models can generate texts, images, music and other forms of data. Here is some background information to give you a better understanding of Generative AI:
- Basics: Generative AI models, such as those that could be used in medicine for imaging analyses or to predict the course of diseases, work by learning patterns in data. Instead of just classifying or analyzing data, they try to “generate” similar data on their own.
- Neural networks: Many generative models, including ChatGPT, are based on deep neural networks. These networks are roughly inspired by the structure of the human brain and can recognize complex patterns in large amounts of data.
- Connection to ChatGPT: ChatGPT is an example of Generative AI. It has been trained to generate text based on the prompts it is given. It does not really “think” or “understand” in the human sense, but uses statistical patterns from its training data to formulate answers.
- Training and data: Generative models are trained with large amounts of data. In the case of ChatGPT, this was extensive text data. The model has learned to generate human-like responses by recognizing patterns and relationships in these texts, much like a medical student can recognize patterns in symptoms or test results.
- Applications in medicine: Generative AI can also be useful in medicine, e.g. to improve medical images, create synthetic patient data for research or to recognize complex biological patterns.
- Ethics and limitations: As with any technology, it is important to consider the ethical considerations and limitations of generative AI, especially in medicine. It is crucial to constantly check the accuracy and reliability of such systems and to incorporate human judgment and experience into the decision-making process.
In the article ChatGPT and AI in the healthcare industry you will find further possible applications of Generative AI in the healthcare world. And in the article ChatGPT and AI in the doctor’s office there are even more use cases, especially for medical practices.
ChatGPT and generative AI in the patient journey
ChatGPT and generative AI can make day-to-day work in a doctor’s surgery or hospital much more efficient. The following graphic shows initial approaches on how you can benefit from the new technologies, ChatGPT and Generative AI.
The graphic shows the different steps of the patient journey and gives examples of the use of ChatGPT and Generative AI in the respective phases.
What do we learn from the graphic?
The graphic illustrates how versatile and broad the possibilities of ChatGPT and Generative AI in the healthcare industry already are today.
It is important that you find and develop your specific use cases. Although the graphic above shows a variety of use cases and possible applications, it is important for you to identify individual start use cases and then develop these further and add more use cases in further iterations.
What needs to be considered?
ChatGPT is developed by the American company OpenAI. All data that you enter in the input window will be processed by OpenAI.
You should therefore not enter any personal, sensitive or sensitive data in the input window. ChatGPT should only be used with anonymized data. You can anonymize the data yourself or use solutions such as PrivateGPT (product of AlpineAI.ch).
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In collaboration with other doctors and hospitals, I have created this guide to using ChatGPT and Generative AI in the patient journey.
The guide contains best practices, templates and workshop instructions.
Your one-off investment: CHF 50
Other useful templates
You may have heard that there are alternatives to ChatGPT. In my article on ChatGPT alternatives I show you other alternatives and you can also buy the comparison here.
And if you need even more useful prompts for your practice, then the “Prompts for Health” prompt list is sure to be of interest to you.
By the way, I also offer coaching and starter courses on ChatGPT.
And of course you can always contact me directly if you have any questions. Just send me a message via WhatsApp or e-mail.
Or come directly to my WhatsApp group – where I regularly post use cases, news, best practices, events and much more about chatbots, ChatGPT and co.
