HIC- AI road map
Sara Valencia
Created on October 12, 2023
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Radiology analysisAutomatic audiometryPrediction of hearing health condition
Sara Valencia Cadavid PhDBRC HH Translational research manager
Road map HIC - AI
Front End Developer(s)
Staff required
Back End Developer(s)
User Story and Acceptance Criteria Researcher
Scientific /Clinical Analyst
Coordinator
ACTIONS
- Characterisation of the user population
- Define users needs and expectations
- Workshops
- Focus groups
- Interviews.
- Creation of User Stories
- Graphic prototypes and visualisation (Mockups)
ACTIONS
- Define Database infrastructure
- Request acces to additional DB
- Technological requirements (storage. processing capability, graphic interfase etc.)
Understanding of user experience and navigation requirements (Front-End)
Stage 4
Datasets and technological requirements
ACTIONS
- Expert consensus
- Advisor Scientific Commitee
- Literature Review.
- Defining input values
- Defining outputs
- Outpust presentation (predictive value or recomendation )
Identifying appropriate predictors and outpus
Stage 2
Defining the clinical question(s) or outcome(s) of interest (output).
Road Map
Stage 3
Stage 1
ACTIONS
- Medicines and Healthcare products Regulatory Agency (MHRA) approval.
- Meet NICE stardars
ACTIONS
- Model training.
- Connecting the back end to the front end.
- Optimisation and validation of the model.
- Traffic and stability testing of the platform.
- User story validation tests.
DOCUMENTS
- System architecture document.
- User manuals, technical manual, installation manual
- Data dictionary
Licensing the AI predictive model.
Stage 8
Integracion and Validation of the Model
Stage 7
Documentation
Stage 6
Developing the AI predictive model
Stage 5
ACTIONS
- Bussines case - Bussines Model
- Training
- Adoption
ACTIONS
- Updates
- Complaince with NICE rules
- UK Medical Research Council’s guidance for developing and evaluating complex interventions.
Commercialization or OpenLicencing of the product
Stage 9
Maintaining and evaluating the AI predictive model.
Stage 10
Key decisions
Experts to keep in the loop and invite to the initial stages and validation process
Identify additional sources of funding to develop the steps.
4. Funding
Define times to start and complete each stage
3. Time table
2. Population
Define the person or team that could support the activiy
1. Who?
Thank you