
AI assisted diagnosis
AI powered solution that listens to patients’ symptoms and health concerns and offers diagnosis support to the clinician, thereby reducing errors and accelerating the diagnosis. Solution can be further expanded into additional areas of decision support.

Key Benefits
Increased accuracy
of diagnoses leveraging AI technology, improving medical outcomes
Improved efficiency
of medical care, through more efficient and accurate diagnoses
Enabled opportunities
to explore more areas where AI and machine learning can provide decision making support to hospitals and care providers
Related Personas

Age
31
Status
Married
Country

About Maria
Maria just moved to Doha for the job of her dreams, together with her daughter, born just 6 months ago. Unfortunately, she has to stay away from her husband until he finds a new job in Doha. She’s found an apartment and settled down now, taking on a full-time job while making sure her baby grows up healthy. She’s hopeful and excited about this vibrant city.

Age
14
Status
Single
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About Rashed
Student & Amateur Football Player

Age
42
Country

About Salem
Being born and raised in Qatar, Salem is now in his 40’s and the thing he cares about the most is his family. His wife, son, daughter, father and mother all reside in the same household. While maintaining a busy work life, Salem needs to make sure he finds time to cater to his family’s needs, making sure each member of his family is happy and well. Salem makes an effort to spend quality time with his family, usually by attending local events and visiting local attractions. He feels responsible for the well-being of his family.

Age
46
Country

About Abdulaziz
Opening in 2022, the mall is expected to receive a high number of visitors in a short period of time. While the design phase is being finalized, the municipality will be closely monitoring energy usage through construction. Moreover, the mall will have to adapt to different seasonal trends including hot summers, unusual opening patterns during Ramadan months, and high visitor traffic from large events. This high-stress of managing this business has left Abdulaziz to retain his heavy smoking habits.

Age
34
Status
Single
Country

About Sajit
Sajit moved to Qatar only a few months ago with big hopes. It is his first time trying to make it in a big city, but he is determined to prove that he has what it takes. Not speaking any English nor Arabic is currently his biggest barrier, but as a hard worker, he manages to get by and make a humble living. He is hoping to start a family and have a decent income, one day, here in Qatar.

Age
42
Status
Divorced
Country

About David
Out from the UK office, David has been working at the same logistics company for many years. He is now a senior manager and responsible of all the company’s activities in Qatar. Due to his role, he visits Qatar about once every month. He is divorced with no kids.

Age
55
Country

About John
John has 20 years of experience in logistics. Before establishing his own business, he worked as a director in one of the sector’s leading companies. It is his fifth year in Qatar. His biggest ambition is to bring the best practices to his company and lead by adopting the latest technology trends. John has very little time to exercise or take care of his health. He is obese and has developed type 2 diabetes over the years.

Age
78
Status
Married
Country

About Omar
Being born and raised in Qatar, Omar is now in his late 70’s. His wife, son, and grand daughter/son all reside in the same household. His biggest supporter is his wife throughout the day. Omar needs to see his healthcare provider regularly and follow his recommendations for screening and preventative measures
User Journey
Potential Service Features
- •Diagnosis report
- •Automated reports
- •Patient file sharing
- •Electronic prescription
- •Insurance company synchronization
- •Predictive analytics
Implementation Analysis
IMPLEMENTATION TIMELINE
TECHNOLOGY COMMERCIAL VIABILITY
REGULATORY CONDUCIVENESS
INVESTMENT REQUIREMENTS
Key Implementation Considerations
High competence in UI/UX, big data analytics, AI, biomedical and genetic analytics, and database building and management.
Research phase to identify existing APIs that can be built on, entities with useful data and enablers for use case development, and a concept design phase to develop a comprehensive PoC
To be developed and scaled across all hospitals and clinics
UX/UI and medical score testing through focus groups to ensure rapid adoption and precise medical results.



