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HIC- AI road map

Sara Valencia

Created on October 12, 2023

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Transcript

Road map HIC - AI

Radiology analysisAutomatic audiometry Prediction of hearing health condition

Sara Valencia Cadavid PhD BRC HH Translational research manager

Staff required

Coordinator

Scientific /Clinical Analyst

User Story and Acceptance Criteria Researcher

Back End Developer(s)

Front End Developer(s)

Road Map

ACTIONS

  1. Characterisation of the user population
  2. Define users needs and expectations
    1. Workshops
    2. Focus groups
    3. Interviews.
  3. Creation of User Stories
  4. Graphic prototypes and visualisation (Mockups)

ACTIONS

  1. Expert consensus
    1. Advisor Scientific Commitee
  2. Literature Review.
  3. Defining input values
  4. Defining outputs
  5. Outpust presentation (predictive value or recomendation )

Datasets and technological requirements

Stage 3

Defining the clinical question(s) or outcome(s) of interest (output).

Stage 1

ACTIONS

  1. Define Database infrastructure
  2. Request acces to additional DB
  3. Technological requirements (storage. processing capability, graphic interfase etc.)

Stage 4

Stage 2

Understanding of user experience and navigation requirements (Front-End)

Identifying appropriate predictors and outpus

DOCUMENTS

  1. System architecture document.
  2. User manuals, technical manual, installation manual
  3. Data dictionary

Integracion and Validation of the Model

Licensing the AI predictive model.

Stage 6

Stage 8

Stage 5

Developing the AI predictive model

ACTIONS

  1. Medicines and Healthcare products Regulatory Agency (MHRA) approval.
  2. Meet NICE stardars

Stage 7

ACTIONS

  1. Model training.
  2. Connecting the back end to the front end.
  3. Optimisation and validation of the model.
  4. Traffic and stability testing of the platform.
  5. User story validation tests.

Documentation

ACTIONS

  1. Bussines case - Bussines Model
  2. Training
  3. Adoption

Stage 10

Maintaining and evaluating the AI predictive model.

Stage 9

ACTIONS

  1. Updates
  2. Complaince with NICE rules
  3. UK Medical Research Council’s guidance for developing and evaluating complex interventions.

Commercialization or OpenLicencing of the product

Key decisions

1. Who?

3. Time table

Define the person or team that could support the activiy

Define times to start and complete each stage

4. Funding

2. Population

Identify additional sources of funding to develop the steps.

Experts to keep in the loop and invite to the initial stages and validation process

Thank you