Sprint 4 (mid sprint)
Sprint report for DHSC PIM Sprint 4 (mid sprint)
What we did last week
- Research outputs to date
- Design iterations for next round of testing (data consumers)
- Add back-end for flag/request in prototype
- Design a data model for representing data provenance
- Decide approach for data engineering pipeline
- Content questions for UR
- Get list of GMDN categories that look like single attributes with multiple values
- Content iterations of prototype
- Import full GAMINE data (including hierarchies!)
- Understand GMDN license agreement
- Output - outlining manufacture incentives
- Sorting of search results in the prototype, especially by manufacturer
- Authz requirements for PIM users
- Graphic for data collection workflows to show manufacturers
What we’re planning to do this week
- Investigate de-duplicating products
- Explore design approaches to data maintenance
- Get RC service map and data flows from MHRA [Waiting from 13/06/2024]
- Identity - identify users to PIM, can we re-use existing MHRA structures to allow NHS and manufacturing users to log in?
- Import full GMDN data (including hierarchies!)
- Plan manufacturer workshop for Sprint 5
- Draft design for a cloud architecture
- Appraise NHS Supply Chain
- Develop prototypes for data maintenance options
- Assess how we need to protect from or mitigate fraudulent or malicious activity
- Plan manufacturer workshop for Sprint 4
- Identify best approach to API provision
Goals
First prototype for data maintenance. In progress
Get better data for analysis and prototyping In progress
These are our currently identified risks and issues
- [Risk] Access to data
- [Risk] Differing Visions of what’ we’re doing (Beta, proof of concept)
- [Issue] Different people building different overlapping systems
- [Risk] NHS trust infrastructure to be able to consume data from PIM
- [Issue] What constitutes a medical device? How can we decide what is included and excluded from PIM
- [Risk] Lack of Engagement from manufacturers in a maintenance process
- [Issue] Some comms teams won’t distribute calls for researchers in pre-election period.
- [Risk] Quality of Data - beyond our control
- [Risk] User availability
- [Risk] Final ownership
- [Risk] Consumer perception