Into the future
together
Visionaries see innovative possibilities for the future and break new ground. They inspire their fellow human beings and provide them with guidance in times of change. Get to know six of our VisioNears and discover their personal view of the future of healthcare.
“AI could identify the right specialist on the phone.”
After headaches, dizziness is the second most common reason why Germans go to the doctor. Despite this, the condition is not taken seriously by many general practitioners.
Yet these patients can be helped very successfully if you listen to them and work out an interdisciplinary treatment. Of course, this takes time, which we have to save elsewhere. The electronic patient file demonstrates an important step in the right direction.
I think the further digitalisation progresses, the more time we will be able to gain back for patients. For example, I would like to develop an AI that asks the caller on the phone what symptoms they are suffering from.
The right specialist could then be identified immediately, which would be particularly useful for GP practices.
However, my biggest vision is to further expand the “Dizziness Day Clinic” to be able to help even more people.
There are already other therapeutic approaches in the pipeline for the future that I would like to support with my experience there. These include, for example, imperceptible noisy galvanic vestibular stimulation (nGVS) and also vestibular implants to improve balance control. This could then significantly improve the treatment of dizziness.
“AI can translate laboratory values into a treatment strategy better than humans alone.”
Our laboratory is already largely digitalised, as we have many recurring processes that can be automated.
We even have robots that can operate a small emergency laboratory autonomously for many hours without human intervention.
Compared to analogue times, the error rate has decreased significantly and we can guarantee every analysis under uniform quality standards.
Microscopic examinations, which used to be assessed by humans with varying degrees of experience, are now prepared using digital pattern recognition, thus improving and speeding up the results.
The next step is to use AI to link laboratory results with data from digital patient records.
The integration of laboratory values and clinical information will use the broad, interdisciplinary knowledge base of an AI to guide specialised colleagues to faster diagnostics and improved therapy for our patients.
Reducing bureaucracy and improving interfaces with other departments would speed up the complex process of getting there.
“Machines will increasingly help with the physical work. That will leave more time for the important things.”
I often say to my cleaning team, “When we leave the patient’s room, the world will be all right again.”
After all, people don’t go to hospital voluntarily.
That’s why a positive atmosphere, a clean, lovingly furnished room and a smile are very important.
I hope that I will have more time for this in the future. Computers are already taking over some of the administrative work.
Sooner or later, more and more machines will help with the physical work – the first automatic cleaning machines are already available at Asklepios.
Then I’ll have more time for the important things, first and foremost ensuring a beautiful, well-structured hospital where you feel safe and can recover quickly.
“Robots could not only bring patients food, but also assist with operations and medical care.”
I find the management of a hospital incredibly exciting.
It’s the basis for the framework conditions and processes that make a hospital work in the first place. Digitalisation and AI are opening up many new opportunities for healthcare.
For example, it is conceivable that it will soon be possible to check into a hospital online, just like a hotel.
Medical information for patients, submitting their documents, everything could be handled digitally.
Robots could not only bring patients food, but also assist with operations and medical care.
In the event of an accident, vital signs would be sent live from the ambulance directly to the hospital. The right ward can then be selected or the trauma room prepared while the vehicle is still on the road.
Patients meet doctors who are optimally prepared for their health problems, without any waiting times. This means that everything is faster and better.
“Digitalisation will ensure that we have more time for patients again.”
Even as a child, I dreamed of wearing a white coat. That’s why I studied nursing in my home country of Turkey.
I came to Germany for love, because my wife grew up here. At Asklepios, I work in a multidisciplinary specialist department.
That’s why I need sound medical knowledge and must always be up to date with the latest developments in order to provide my patients with good care.
The electronic patient file is a major step forward, as comprehensive digital documentation enables faster and more accurate monitoring of the patient’s state of health. This can be particularly crucial in emergencies.
I am certain that digitalisation will allow us to save a lot more time, especially in terms of documentation, which will benefit patients.
This will further improve the quality of care and our patients will be able to go home healthy and happy sooner – and then I’ll be happy too.
“The more data and systems we network with each other, the better we can treat our patients.”
Nowhere else does IT have such a direct impact on people’s health as in a hospital.
I am very aware of this in every decision I make. This makes it all the more important to set the right course for the future.
We have already achieved a great deal with our hospital information system (HIS).
It documents all medical treatments from admission to treatment and discharge.
Thanks to its digital availability, it allows quick access to all information and facilitates communication.
But digitalisation can do even more. The more data and systems we network with each other, the better we can treat our patients in a targeted manner. AI will also help to significantly improve diagnostics and treatment.