Intelligent Diagnosis and Treatment
How can Artificial Intelligence transform access to healthcare for underserved patients?
What is disruptive technology doing for better health outcomes?
Artificial intelligence (AI) has the potential to change diagnoses and treatment of diseases, improving outcomes and costs. It can, for example, strengthen medical imaging diagnosis by detecting diseases earlier, or predict the most effective treatment option. AI can thus support doctors to make faster and more accurate diagnoses or design more effective treatment options within seconds by building on and learning from huge amounts of data, such as medical papers and patient records. At the same time, digital health chatbots have already been changing the way patients approach simple medical questions.
Why do we need more inclusive solutions?
The need for more accurate and cost-effective diagnoses is especially pressing in regions with a chronic shortage of well-trained health professionals. In many rural areas in Africa and Asia, doctors' visits are irregular, and hospitals are a long and costly day’s journey away. For the most part, the best healthcare options are health workers, who can perform basic medical diagnoses. Artificial intelligence has the potential to support them in bringing better diagnosis and treatment options to more patients in underserved areas. For example, AI can support local health workers to decide whether a patient can be attended to by simple measures, or needs to be referred to a specialist.
Who would we like to attend?
ii2030 aims to bring together experts and organizations who will contribute to creating a new solution that will improve access to diagnosis and treatment options for underserved patients – and continue its development and implementation following the 2-day event. They may include
- Companies developing AI software or digital health chatbots addressing doctors or patients
- Artificial intelligence experts
- Social enterprises with networks of health workers that reach out to patients in underserved markets in Africa or Asia
- Companies working on telemedicine
- Data specialists, particularly those working on patient health records
- Corporate representatives with a focus on digital health
- Experts running incubators or consultancies specializing in mhealth, digital health or AI and health
If you fit one of these profiles, please apply for an invitation through our registration process.
How will we create impact?
This track aims to develop a project idea that will translate the potential of AI technology to the realities in rural Africa or Asia. Concretely, the output shall help customize the technology to the needs of health workers (e.g. those employed by social enterprises or NGOs), and thus improve access to and quality of diagnosis and treatment for their patients.
Andreas Flensborg - Executive Director of UNUMED,
Olivier Jarry - Founder of 3xBL
The promise of artificial intelligence in healthcare should be leveraged to make an impact for the population in not only resourceful settings. To unlock this potential we need one core ingredient- data. Unumed aims to be the largest aggregator of electronic health records on the planet and invite partners to innovate around this potential. -Andreas
Proper healthcare requires a combination of medical knowledge and proximity with the patient. Both are in short supply in many regions. Technology is now mature to provide access to medical resources as well as to stay close to the patients and their needs. -Olivier
Our tour guides take participants on an exploration of Berlin’s buzzing inclusive innovation scene to provide inspiration and information for each track.
The 4-hour tour takes participants to 3 visionary organizations, where hosts will lead a discussion on how greater inclusion in their sector will impact society in 2030.
The day will end with a “Meet & Greet” networking dinner. Participants from all tracks reconvene over dinner to share what they have learned and get to know one another.
Participants gain inspiration from and knowledge on the various perspectives of how inclusive innovation will create positive change. They gain an up-close-and-personal look into the three organizations, connect with their leaders and use the inspiration to guide and motivate them through their co-creation journey at the Inclusive Innovation Factory and beyond.
Patient and doctor perspective
Talk to patients and doctors in low-income markets to understand the challenges they face.
Experience using an AI chatbot for solving simple health issues.
AI platform supporting chronic patients
Talk to doctors and AI experts to understand how AI can improve health outcomes for chronic patients.
In a design-thinking workshop of up to 10 participants, we will work out how technology can drive inclusive innovation, and what is needed to achieve a solution. Participants are carefully selected to bring together those actors who can make the change.
Throughout the day, a networking assembly line, factory whistle speeches and a canteen exhibition will allow participants to get inspired and connect outside their workshop.
An ii2030 online platform will be used for participants to start connecting and preparing for the workshop prior to the event and to continue their collaboration following the co-creation workshop. In the follow-up, the team will receive support from Endeva as they work on improving and implementing the solution in the field.
Design-thinking methodology is a collaborative solution-based approach to solving complex challenges. The strategic process will guide the team of like-minded partners in co-creating concrete, innovative and user-friendly solutions in a 1-day, action-packed workshop.
At the conclusion of the 1-day co-creation workshop, participants of the track will have developed a concrete solution that will be implemented with support from Endeva.