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Pim20240617
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j-maynard authored Jun 17, 2024
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70 changes: 70 additions & 0 deletions content/en/pim/project-reports/sprint4/index.md
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---
title: Sprint 4
date: 2024-06-17
description: Sprint report for DHSC PIM Sprint 4
---

Weekly report - elderberries
============================

![Elderberries](elderberries.jpg)

What we did last week
---------------------

- Delivered a report giving advice on estimation strategies for PIM cash
benefits
- Design a data model for representing data provenance
- CSV/XLS export
- GMDN hierarchy
- Output - outlining manufacture incentives
- CSV/XLSX/ODS download
- Understand GMDN license agreement

What we're planning to do this week
-----------------------------------

- Explore design approaches to data maintenance
- Plan manufacturer workshop for Sprint 4
- Import full GMDN data (including hierarchies!)
- Get RC service map and data flows from MHRA
- Sorting
- Appraise NHS Supply Chain
- Decide approach for data engineering pipeline
- Research outputs to date
- Plan manufacturer workshop for Sprint 5
- Graphic for data collection workflows to show manufacturers
- Investigate deduplicating products
- Analyse data consumer survey responses
- Identify best approach to API provision
- Authz requirements for PIM users
- Identity
- Design iterations for next round of testing (data consumers)

Goals
-----

- First prototype for data maintenance.
<span class="badge bg-info">_**In progress**_</span>

- Get better data for analysis and prototyping
<span class="badge bg-info">_**In progress**_</span>

These are are 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

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