How We Work
How We Work
5-6 team members with diverse background
3-10 hours per week per participant
Customized assignment (minimum 3 months)
A final report with advice and recommendations
Professional support from our partners
Knowledge sharing and networking
5-6 team members with diverse background
3-10 hours per week per participant
Customized assignment (minimum 3 months)
A final report with advice and recommendations
Professional support from our partners
Knowledge sharing and networking
5-6 team members with diverse background
3-10 hours per week per participant
Customized assignment (minimum 3 months)
A final report with advice and recommendations
Professional support from our partners
Knowledge sharing and networking
Our process
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1
1
Hospital presents a problem
Hospital presents a problem
2
2
We forms a multidisciplinary team based on clinical problem
We forms a multidisciplinary team based on clinical problem
Lorem ipsum dolor sit amet consectetur. Egestas nibh ipsum volutpat sit. Neque blandit dictum phasellus amet gravida neque sagittis.
Lorem ipsum dolor sit amet consectetur. Egestas nibh ipsum volutpat sit. Neque blandit dictum phasellus amet gravida neque sagittis.
3
3
Team clarifies the problem statement
Team clarifies the problem statement
4
4
Data collection & Data analysis
Data collection & Data analysis
Lorem ipsum dolor sit amet consectetur. Egestas nibh ipsum volutpat sit. Neque blandit dictum phasellus amet gravida neque sagittis.
Lorem ipsum dolor sit amet consectetur. Egestas nibh ipsum volutpat sit. Neque blandit dictum phasellus amet gravida neque sagittis.
5
5
Prepare consultancy report and final presentation
Prepare consultancy report and final presentation
5-6 team members with diverse background
3-10 hours per week per participant
Customized assignment (minimum 3 months)
A final report with advice and recommendations
Professional support from our partners
Knowledge sharing and networking
Our process
1
Hospital presents a problem
A healthcare institution approaches us with a specific challenge they're facing. This could range from improving diagnostic accuracy to streamlining patient flow. We listen carefully to understand the nuances of their unique situation and the potential for AI-driven solutions.
2
We forms a multidisciplinary team based on clinical problem
Drawing from our diverse pool of student talent, we assemble a team tailored to the specific challenge. This may include medical students, data scientists, engineers, and business analysts. Our interdisciplinary approach ensures we consider the problem from all angles - clinical, technical, and operational.
3
Team clarifies the problem statement
Our team works closely with the healthcare provider to refine and clearly articulate the problem statement. This crucial step involves in-depth research, stakeholder interviews, and on-site observations. By thoroughly understanding the context, we set the foundation for developing targeted, effective AI solutions.
4
Data collection & Data analysis
We gather relevant data from various sources, ensuring accuracy and completeness. Our team then performs a thorough analysis, identifying trends, patterns, and insights that are critical for developing effective AI solutions tailored to the specific needs of the healthcare provider.
5
Prepare consultancy report and final presentation
After analyzing the data, we compile our findings into a comprehensive consultancy report. We then prepare a final presentation, summarizing key insights, recommendations, and actionable steps. This ensures that the healthcare provider is equipped with the knowledge and tools needed to successfully implement the proposed AI solutions.
Case Studies
Protocolling Radiology
Our project at the LUMC Radiology Department aimed to improve the protocoling workflow for radiological examinations, focusing on efficiency and accuracy. By implementing solutions like a structured request form and an NLP protocol selection tool, we received positive stakeholder feedback, setting the stage for future refinement and testing.
Interested in transformative projects?
Explore further to see innovation in action!
Protocolling Radiology
Our project at the LUMC Radiology Department aimed to improve the protocoling workflow for radiological examinations, focusing on efficiency and accuracy. By implementing solutions like a structured request form and an NLP protocol selection tool, we received positive stakeholder feedback, setting the stage for future refinement and testing.
Interested in transformative projects?
Explore further to see innovation in action!
Protocolling Radiology
Our project at the LUMC Radiology Department aimed to improve the protocoling workflow for radiological examinations, focusing on efficiency and accuracy. By implementing solutions like a structured request form and an NLP protocol selection tool, we received positive stakeholder feedback, setting the stage for future refinement and testing.
Interested in transformative projects?
Explore further to see innovation in action!
Case Studies
Protocolling Radiology
Our project at the LUMC Radiology Department aimed to improve the protocoling workflow for radiological examinations, focusing on efficiency and accuracy. By implementing solutions like a structured request form and an NLP protocol selection tool, we received positive stakeholder feedback, setting the stage for future refinement and testing.
Interested in transformative projects?
Explore further to see innovation in action!
For Organizations
How we work
Our Team
© 2024 HealthInnovaitors
Term of Use
Privacy Policy
Cookie Policy
For Organizations
How we work
Our Team
© 2024 HealthInnovaitors
Term of Use
Privacy Policy
Cookie Policy
For Organizations
How we work
Our Team
© 2024 HealthInnovaitors
Term of Use
Privacy Policy
Cookie Policy
For Organizations
How we work
Our Team
© 2024 HealthInnovaitors
Term of Use
Privacy Policy
Cookie Policy