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The Patient Journey Mapping Tool for Vaccine Hesitancy challenge would focus on building a solution that helps Medical Affairs understand and address the specific factors influencing vaccine hesitancy throughout a patient’s decision-making process.
Challenge: Mapping the Patient Journey to Overcome Vaccine Hesitancy.
Background: Vaccine hesitancy can be influenced by a variety of factors, including personal beliefs, cultural background, previous health experiences, and exposure to misinformation. Understanding where patients are in their journey—from initial hesitancy to acceptance—can help Medical Affairs create targeted interventions and deliver messages that resonate at each stage.
Project Objective: Develop an AI-powered tool that
1. Maps patient journeys by analyzing diverse data sources like social media, patient forums, and survey data, identifying common milestones in the journey from hesitancy to vaccine acceptance.
2. Identifies key touchpoints where Medical Affairs can intervene effectively to provide supportive information, address misconceptions, or respond to frequently asked questions.
3. Personalizes engagement strategies based on where individuals or communities are in their journey.
Approach and Features:
Data Analysis and Segmentation: Gather and analyze data on public sentiment regarding vaccines, leveraging NLP to identify common concerns and misbeliefs. Segment patients by demographics, health conditions, and psychographic factors (e.g., health beliefs, sources of information) to tailor interventions.
Journey Mapping and Touchpoint Identification: Use AI to map common stages in the journey, from initial hesitation to active research, consultation with healthcare providers, and eventual acceptance or refusal. Identify touchpoints such as moments of heightened concern (e.g., news of side effects) where Medical Affairs could deliver impactful messages.
Dynamic Engagement Strategies: The tool could provide recommendations for Medical Affairs on the best timing, format, and messaging tone for each stage in the journey, ensuring support is offered at critical decision points. Customize strategies for specific subgroups, like age, risk level, or geographic location, based on their unique vaccine hesitancy drivers.
Feedback and Continuous Learning: Measure the effectiveness of various interventions through real-time feedback on engagement metrics, helping refine future approaches and identifying what resonates with hesitant groups. The tool could adjust its recommendations over time by learning from new patient data and insights, staying responsive to evolving attitudes.
Deliverables:
- Patient Journey Dashboard: A visualization tool displaying segmented patient journeys, highlighting critical decision points and suggested interventions.
- Engagement Strategy Module: An AI-driven assistant that generates tailored messaging and outreach suggestions for Medical Affairs based on patient sentiment trends and journey stages.
Benefits: The tool would empower Medical Affairs to:
Proactively address vaccine hesitancy by engaging patients at the right moments with the right information. Create more personalized and effective messaging strategies, enhancing trust and increasing vaccine uptake. Build a deeper understanding of patient motivations, allowing for data-driven strategic planning and resource allocation. Additional Information : You can post all your queries in the #innovation-labs channel on Discord.
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You can find more interesting integrations and example on our gitHub Repo.
Requirements
What to Build
Design and implement a solution that leverages Fetch AI technology to provide real-time, context-aware recommendations for users in a specific domain. The goal is to create an application that uses Fetch AI's capabilities to deliver personalized and dynamic suggestions based on user input and contextual data.
What to Submit
2-Minute video demo of your software hack
Judging Criteria
Each row is scored 1 to 5, with a total score being your final score.| Parameters | Definition | Example |
| Technology | How technically sound the use of technology is? | Best case as per the Success Tree |
| Engagement/ Direction | How engaging the project is for community? | Use-case solving a real life problem |
| Efficiency | How well the project takes use of technology? Could there have been more efficient ways of doing the same solution? | Chaining of tasks |
| Practicality | Is the project practical from business point of view? | Implementing the travel use-case for car-hire where everything is done by simple message |
| Scalability | Is there a demand for this solution in the chosen market? | A solution for recruitment which would connect to linkedin for professional profile |
| Impact | How impactful the project is? Both options to be evaluated ( large number of people with low impact or small amount of people with profound impact) | Flights booking through multi-agent system with cost effective solution. This will impact large amount of people |
Prizes
£1,000 in prizes
Winner Team Fetch.Ai Beyond Boundaries AI Agent Prize
Winner Team Fetch.Ai Beyond Boundaries AI Agent Prize
1 winner
Smartest AI Agent Prize
Smartest AI Agent Prize
1 winner
Best use of Fetch.Ai Tech
Best use of Fetch.Ai Tech
1 winner
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Sana Wajid
CDO at Fetch.ai
Judging Criteria
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Technical Implementation
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Functionality & Features
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Creativity & Innovation
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Real-World Impact
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Presentation & Pitch
Questions? Email the hackathon manager
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