What is Generative AI?

Generative Artificial Intelligence (AI) is an advanced form of AI that enables machines to autonomously generate content such as text, images, music and even videos that can be very similar to that of humans. Unlike traditional AI systems, which are programmed to perform specific tasks based on the data they are given, Generative AI learns from a variety of data how to create new, original content that did not previously exist. This is made possible by complex algorithms that enable AI to understand and creatively apply patterns, styles and contexts. From the creation of personalized media to the development of innovative solutions in medicine and, of course, other industries. We currently believe that this technology has the potential to transform not only the way we work, but also how we think creatively and drive innovation. In this context, the healthcare industry as you know it today is also facing major changes.

Why should the healthcare market engage with Generative AI?

Generative AI is changing the roles of professionals in society in many industries. This also applies to professionals in the healthcare sector. Generative AI has the potential to revolutionize the way diseases are treated, new drugs are developed and treatments are tailored to individual patients. It will also fundamentally change the daily work of doctors, nurses and other clinical healthcare professionals, as well as their reputation in society. In the article on Generative AI in Healthcare you will find very broad applications of Generative AI in the healthcare industry. In the article on Generative AI in the patient journey, you will find specific applications of artificial intelligence along the patient journey.

I am convinced that human qualities such as compassion, communication and instinct are becoming increasingly important and will become a decisive competitive advantage on the labor market in the healthcare world. While repetitive tasks are increasingly being taken over by Generative AI, (inter)human skills are playing an ever greater role.

The AI health organization

In the following article, I would like to show you an example of how an entire healthcare organization – in this example, a medical practice – could use Generative AI in all processes and dialogues.

1. practice marketing

Almost every medical practice has a website with various informational texts and pictures about the medical practice. More and more medical practices are also active on popular social media channels such as Instagram. Some practices also write a blog for their patients or even send out regular newsletters. These are classic processes and activities in which generative AI can accompany or support employees. Generative AI can even assist with image creation.

2. making appointments with patients

More and more practices are already using Voicebot on the phone to automatically answer frequent patient queries. Making an appointment is also a verbal dialog that can be automated either via a form on the website or a voicebot on the phone. With a form on the website, this application usually doesn’t even need an AI. However, if it is an advanced voice bot, generative AI should definitely be used.

3. patient admission

When new patients come to the practice, they usually have a lot of questions. The doctor’s surgery also needs a range of information from the patient. For example, an intelligent chatbot with generative AI can simplify the patient admission process. It can record the patient’s information in a structured manner and create a summary of the most important patient information for the treating staff.

4. employee training

Employee training is also an important topic in healthcare companies. This can be further training on specific topics (e.g. changes to legislation without new treatment options) or the introduction of new employees. The first medical practices, such as Thomas Müller from Schaffhausen, have also started to use generative AI tools for training purposes. The micro-learning platform eggheads.ai is a well-known tool, especially in Switzerland, which offers both rule-based and AI-based chat learning training with the company’s own content.

5. in the treatment

During treatment, doctors often use the Internet to quickly query individual topics. For example, inquiring about the active ingredients for rare medications or the side effects of unknown medications. While such queries used to be made mostly with Google or other databases, today these queries can also be made with tools such as ChatGPT. The doctor can ask ChatGPT for information in natural language and even determine the type of content output.

6. diagnosis

The treating doctor is always fully responsible for making the diagnosis. Nevertheless, generative AI can supplement the diagnostic process and make it more efficient. Generative AI can have access to a large amount of previous treatments or diagnoses and transfer this knowledge to new treatments and issues. Generative AI can also compare X-ray images and derive diagnoses from them.

7. reporting

In healthcare companies, the creation of various types of reports, documentation or referral letters is usually an administrative task that takes a lot of time, is often even mandatory for regulatory reasons and is not a favorite activity for all employees. Tools with Generative AI can now take over this creation of documents. The medical staff usually only need to enter key points and the desired output and the Generative AI generates the text. Of course, data protection must be observed here and patient data must never be disclosed to third parties without being asked. However, there are good technical ways in which a medical practice can use generative AI in compliance with data protection regulations, increase productivity and relieve employees of administrative tasks.

8. answering further questions

Many patients contact the practice again after the treatment or visit to ask further questions. Many of these questions can be automated or at least partially automated with the help of Generative AI. Artificial intelligence can answer patients’ questions around the clock and patients have no waiting times. At the same time, medical staff have more time for other activities where human skills are more important.

9. accompanying the patient

Not all treatments are completed after one visit to the doctor. Generative AI can be used to create in-depth treatment plans. What is interesting here is not only the creation of specific measures, but also the way in which these are then communicated. Generative AI can adapt individually and specifically to different target groups and then communicate “at eye level”, so to speak. Patients feel that they are being addressed much more precisely and are then generally more motivated to follow the doctor’s instructions.

How do I find the right Generative AI application?

Above, I presented nine ways in which a medical practice could use Generative AI at various points. If this healthcare company functioned in the same way, it would probably be the practice of the future. Up to now, it has been more common for healthcare organizations to select individual applications for themselves and learn from experience in small steps.

My latest training course on the healthcare organization of the future offers you a good insight into the variety of different tools, the most important information on data protection and serves as a basis for selecting the Generative AI application in your company. You can find all the information about the medical practice and the hospital of the future under this link.

Questions about the workshop “Healthcare organization of the future”

What are the aims of the AI workshop?

After the workshop, you will know what opportunities Generative AI offers for healthcare organizations, what possible applications there are and what limits Generative AI has today (and in the future). You know how to find the right Generative AI solutions for your healthcare organization and how to measure the success of these new solutions. You will be able to introduce the appropriate generative AI tools in your practice, hospital or care facility and enable your employees to use the new tools. You know the most important basics about generative AI, data protection, prompting and ethics.

What about Generative AI and data protection?

Of course, we will only show you tools that you can use without violating data protection rules. We will give you all the important information on data protection and show you what you need to bear in mind to avoid jeopardizing any laws or ethical standards.

Who is the target group of the workshop?

We direct our AI offer to all doctors, hospitals and other healthcare institutions. These include: Medical practices, hospitals, day clinics, care facilities, beauty and wellness practices, psychologists, aesthetic medicine, alternative medicine facilities, alternative medicine facilities, cosmetic practices.

Does my company need so many generative AI tools?

Under no circumstances does your practice need all generative AI tools at once. We’ll show you what’s possible and how you can choose the right tool for you from the many available.

What prior knowledge do I need?

You don’t need any previous knowledge. However, a general understanding of digital topics and tools is an advantage.

Do I have to buy a license for each tool?

No, you don’t have to buy a single license. We have all the licenses for the workshop. We will give you instructions on which licenses you need for the introduction.

Further resources

Would you like further support with your AI project? Then hopefully these offers are just right for you.

Nothing there?

Then write me a message with your wishes and questions and we will find an offer for you. Just send me a message via WhatsApp or email.