nhsengland · amaiaita · Dec 20, 2024
diff --git a/docs/our_work/a_and_e_forecasting_tool.md b/docs/our_work/a_and_e_forecasting_tool.md
@@ -2,7 +2,7 @@
 title: 'Accident and Emergency (A&E) Forecasting Tool'
 summary: 'A probabilistic model which gives a three-week forecast for A&E departments, predicting their expected admissions loads.'
 origin: ''
-tags: ['FORECASTING', 'HOSPITAL',  'URGENT CARE', 'WIP', 'PYTHON']
+tags: ['SECONDARY CARE', 'FORECASTING', 'MODELLING', 'TIME SERIES', 'STRUCTURED', 'PYTHON', 'WIP', DEPLOYED]
 ---
 
 ![Image showing plot of historical and predicted admissions rates. The plot shows the confidence intervals for the model's fit to historical data, and for its predictions.](../images/a_and_e_forecasting/forecast.png)

diff --git a/docs/our_work/adrenal-lesions.md b/docs/our_work/adrenal-lesions.md
@@ -3,7 +3,7 @@ title: 'Using deep learning to detect adrenal lesions in CT scans'
 summary: 'This project explored whether applying AI and deep learning augment the detection of adrenal incidentalomas in patients’ CT scans.'
 category: 'Projects'
 origin: 'Skunkworks'
-tags: ['CLASSIFICATION','COMPUTER VISION', 'ACCURACY']
+tags: ['DISEASES', 'CLASSIFICATION', 'COMPUTER VISION', 'MODELLING', 'VISUAL DATA', 'PYTHON', 'COMPLETE']
 ---
 
 <figure markdown >

diff --git a/docs/our_work/ai-deep-dive.md b/docs/our_work/ai-deep-dive.md
@@ -3,7 +3,7 @@ title: 'AI Deep Dive Workshops'
 summary: 'The NHS AI Lab Skunkworks team have developed and delivered a series of workshops to improve confidence working with AI.'
 category: 'Playbooks'
 origin: 'Skunkworks'
-tags : ['BEST PRACTICE']
+tags : ['WORKFORCE','BEST PRACTICE', 'OPEN DATA', 'COMPLETE']
 ---
 
 <figure markdown >

diff --git a/docs/our_work/ai-dictionary.md b/docs/our_work/ai-dictionary.md
@@ -3,7 +3,7 @@ title: 'AI Dictionary'
 summary: 'A simple dictionary of common AI terms with a health and care context.'
 category: 'Projects'
 origin: 'Skunkworks'
-tags : ['DOCUMENTATION', 'WEBDEV']
+tags : ['WORKFORCE', 'DOCUMENTATION', 'WEBDEV', 'COMPLETE']
 ---
 
 [![Image of a browser showing the AI dictionary.](../images/ai-dictionary.png)](https://nhsx.github.io/ai-dictionary)

diff --git a/docs/our_work/ai-ethics.md b/docs/our_work/ai-ethics.md
@@ -2,7 +2,7 @@
 title: 'AI Ethics in Practice at NHS England'
 summary: 'Defining ethical AI development best practice for data practitioners in the NHS'
 origin: 'NHS England'
-tags: ['ETHICS', 'QUALITY', 'DOCUMENTATION', 'RESEARCH', 'BEST PRACTICE']
+tags: ['ETHICS', 'BEST PRACTICE', 'DOCUMENTATION', 'RESEARCH', 'BEST PRACTICE', WIP]
 ---
 !!! warning
 

diff --git a/docs/our_work/ai-skunkworks.md b/docs/our_work/ai-skunkworks.md
@@ -3,7 +3,7 @@ title: 'NHS AI Lab Skunkworks'
 summary: 'The NHS AI Lab Skunkworks team demonstrates the potential for AI in health and social care through practical experience'
 category: 'Overview'
 origin: 'Skunkworks'
-tags: ['CLASSIFICATION', 'PYTHON']
+tags: ['POPULATION HEALTH', 'CLASSIFICATION','RESEARCH','OPEN DATA', 'PYTHON', 'COMPLETE']
 ---
 
 ![AI Skunkworks website homepage](../images/ai-skunkworks.png)

diff --git a/docs/our_work/ambulance-delay-predictor.md b/docs/our_work/ambulance-delay-predictor.md
@@ -3,7 +3,7 @@ title: 'Ambulance Handover Delay Predictor'
 summary: 'Predict ambulance delays at hospital, with reasons, to allow them to influence hospitals'' behaviour to mitigate against queues before they happen.'
 category: 'Projects'
 origin: 'Skunkworks'
-tags: ['AMBULANCE','FORECASTING','MACHINE LEARNING', 'CLASSIFICATION', 'TIME SERIES', 'PYTHON']
+tags: ['SECONDARY CARE','FORECASTING', 'MACHINE LEARNING', 'TIME SERIES', 'PYTHON']
 ---
 
 ![Ambulance Handover Delay Predictor screenshot showing the handover times expected for different hospitals, with the high times highlighted in orange.](../images/ambulance-delay-predictor.png)

diff --git a/docs/our_work/bed-allocation.md b/docs/our_work/bed-allocation.md
@@ -3,7 +3,7 @@ title: 'Bed allocation'
 summary: 'Machine learning to effectively aid bed management in Kettering General Hospital.'
 category: 'Projects'
 origin: 'Skunkworks'
-tags: ['HOSPITAL','FORECASTING', 'PYTHON', 'WEBDEV']
+tags: ['SECONDARY CARE','FORECASTING', 'PYTHON', 'WEBDEV', 'SIMULATION', MODELLING, PSEUDONYMISED, COMPLETE]
 ---
 
 ![Browser showing the dashboard for Kettering General Hospital that shows the forecasting of their bed occupancy.](../images/bed-allocation.png)

diff --git a/docs/our_work/c245_synpath.md b/docs/our_work/c245_synpath.md
@@ -3,7 +3,7 @@ title: Building the Foundations for a Generic Patient Simulator (SynPath)
 summary: Developing an agent-based simulation for generating synthetic patient pathways and scenario modelling for healthcare specific implementations.
 category: Projects
 permalink: c245_synpath.html
-tags: ['SYNTHETIC DATA','SIMULATION']
+tags: ['SYNTHETIC DATA','SIMULATION', GENERATION, STRUCTURED DATA, PYTHON, ON PAUSE]
 ---
 
 ![](../images/c245fig1.png)

diff --git a/docs/our_work/c250_nhscorpus.md b/docs/our_work/c250_nhscorpus.md
@@ -2,7 +2,7 @@
 title: Considerations for Building a Language Corpus with a Focus on the NHS
 summary: What are the available tools that could be used to build an NHS-focussed collection of texts which could help developers build better NLP tools for the healthcare system.
 permalink: c250_nhscorpus.html
-tags: ['NLP']
+tags: ['NLP', RESEARCH, UNSTRUCTURED DATA, TEXT DATA, OPEN DATA, PYTHON, IN PROGRESS, EXPERIMENTAL]
 ---
 
 ![Ingest box containing the logo for scrapy and a screenshot of the NHS.uk website, Enrich box including logos for Helin, brat, and doccan, Share box including huggingface, database. Under the boxes there are the docker, SQLPad, elasticsearch and caddy logos.](../images/c250fig1.png)

diff --git a/docs/our_work/c338_poud.md b/docs/our_work/c338_poud.md
@@ -2,7 +2,7 @@
 title: How to Assess the Privacy of Unstructured Data
 summary: What are the privacy considerations that need to be addressed when dealing with unstructured healthcare text data
 permalink: c338_poud.html
-tags: ['UNSTRUCTURED DATA', 'ETHICS', 'PII', 'BEST PRACTICE', 'STRUCTURED DATA']
+tags: ['UNSTRUCTURED DATA', 'ETHICS', 'PII', 'BEST PRACTICE', NLP, RESEARCH, TEXT DATA, OPEN DATA, PYTHON, COMPLETE]
 ---
 
 <figure markdown>

diff --git a/docs/our_work/c339_sas.md b/docs/our_work/c339_sas.md
@@ -2,7 +2,7 @@
 title: Creating a Generic Adversarial Attack for any Synthetic Dataset
 summary: Can the privacy of a generated dataset be assessed through downstream adversarial attacks to highlight the risk of re-identification
 permalink: c339_sas.html
-tags: ['SYNTHETIC DATA','STRUCTURED DATA']
+tags: ['SYNTHETIC DATA','STRUCTURED DATA', ETHICS, DATA VALIDATION, STRUCTURED DATA, PYTHON, COMPLETE]
 ---
 
 ![](../images/sas.png)

diff --git a/docs/our_work/c399_privfinger.md b/docs/our_work/c399_privfinger.md
@@ -2,7 +2,7 @@
 title: Building a Tool to Assess the Privacy Risk of Text Data
 summary: Can we generate usable privacy scores for text data to support understanding of privacy concerns and the anonymisation process
 permalink: c399_privfinger.html
-tags: ['TEXT DATA', 'LLM','PYTHON', ]
+tags: ['LLM','PYTHON', NLP, LLM, RESEARCH, DATA VALIDATION, UNSTRUCTURED, TEXT DATA, PYTHON, ON PAUSE, SYNTHETIC DATA]
 ---
 
 This work was undertaken as an external commission aiming to build a pipeline of components which firstly generated unstructured medical notes using a structured output from [Synthea:tm:](https://github.com/synthetichealth/synthea) and then running these through [GPT-3.5](https://platform.openai.com/docs/models/gpt-3-5) models to transform these into human readable notes.

diff --git a/docs/our_work/casestudy-recruitment-shortlisting.md b/docs/our_work/casestudy-recruitment-shortlisting.md
@@ -3,7 +3,7 @@ title: 'Examining whether recruitment data can, and should, be used to train AI
 summary: 'Identify where bias has potential to occur when using machine learning for shortlisting interview candidates and mitigate it'
 category: 'CaseStudies'
 origin: 'Skunkworks'
-tags: ['NLP', 'NEURAL NETWORKS', 'SYNTHETIC DATA']
+tags: [WORKFORCE, 'NLP', LLM, 'NEURAL NETWORKS', RESEARCH, 'SYNTHETIC DATA', STRUCTURED DATA, PYTHON, COMPLETE ]
 ---
 
 ## Info

diff --git a/docs/our_work/casestudy-synthetic-data-pipeline.md b/docs/our_work/casestudy-synthetic-data-pipeline.md
@@ -3,7 +3,7 @@ title: 'Exploring how to create mock patient data (synthetic data) from real pat
 summary: 'The generation of safe and effective synthetic data to be used in technologies that improve health and social care.'
 category: 'CaseStudies'
 origin: 'Skunkworks'
-tags: ['SYNTHETIC DATA','NEURAL NETWORKS','ETHICS','QUALITY','PYTHON', 'MIMIC']
+tags: ['SYNTHETIC DATA', GENERATION, 'NEURAL NETWORKS', STRUCTURED, PII, SYNTHETIC DATA,'PYTHON', 'COMPLETE']
 ---
 
 ![Example graphs studying the fidelity of the synthetic data to the artificial data.](../images/example_report_output.png)

diff --git a/docs/our_work/data-linkage-hub/index.md b/docs/our_work/data-linkage-hub/index.md
@@ -2,7 +2,7 @@
 title: 'Overview - Data Linkage Hub'
 summary: 'The data linkage hub encompasses all things data linkage, from documenting the existing state of linkage in NHS England in the Person_ID handbook, to exploring better matching algorithms using probabilistic models and Splink, to creating a Quality Assurance Framework for Data Linkage.'
 origin: 'NHS Digital'
-tags: ['BEST PRACTICE', 'LINKAGE', 'PYTHON', 'QUALITY']
+tags: ['BEST PRACTICE', 'LINKAGE']
 ---
 ![Diagram representing the four current areas of the data linkage hub: DL Quality Assurance, Better Matching Algorithm, MPS Documentation, and the DL Community of Practice.](../../images/linkage_visual_abstract.png)
 

diff --git a/docs/our_work/data-linkage-hub/linkage-projects/better-matching.md b/docs/our_work/data-linkage-hub/linkage-projects/better-matching.md
@@ -3,7 +3,7 @@ title: 'Probabilistic Linkage Model'
 summary: 'This project is creating a probabilistic linkage model using Splink, in order to improve linkage outcomes, and by extension, patient outcomes. The aim is for this to be used to link data in a range of NHS datasets.'
 category: 'Projects'
 origin: 'NHSD'
-tags: ['LINKAGE', 'PYTHON', 'PII', 'WIP','STRUCTURED DATA']
+tags: ['POPULATION HEALTH', 'LINKAGE', 'PYTHON', 'PII', 'WIP','STRUCTURED DATA']
 ---
 
 ## Crafting a model that suits NHS England data linkage needs

diff --git a/docs/our_work/data-linkage-hub/linkage-projects/cop.md b/docs/our_work/data-linkage-hub/linkage-projects/cop.md
@@ -3,7 +3,7 @@ title: 'Data Linkage Community of Practice (DL CoP)'
 summary: 'We are creating and leading a community of practice to help people do the best linkage they can, with support from the data linkage team, but also from fellow analysts who are actively working on data linkage.'
 category: 'Projects'
 origin: 'NHSD'
-tags: ['BEST PRACTICE','EXPLAINABILITY','LINKAGE', 'WIP']
+tags: ['POPULATION HEALTH', 'BEST PRACTICE', 'EXPLAINABILITY', 'ETHICS', 'LINKAGE', 'WIP']
 ---
 
 ## Why do we want a Community of Practice?

diff --git a/docs/our_work/data-linkage-hub/linkage-projects/mps-handbook.md b/docs/our_work/data-linkage-hub/linkage-projects/mps-handbook.md
@@ -3,15 +3,17 @@ title: 'MPS Documentation - the Person_ID handbook'
 summary: 'Documenting how the Person_ID is generated via the Master Person Service (MPS), to make the current process of linking data in the NHS more transparent and easy to understand.'
 category: 'Projects'
 origin: 'NHSD'
-tags: ['BEST PRACTICE','EXPLAINABILITY','LINKAGE', 'COMPLETE']
+tags: ['SECONDARY CARE', 'EXPLAINABILITY', 'DOCUMENTATION', 'LINKAGE', 'COMPLETE', 'STRUCTURED', 'PII', 'PYTHON']
 ---
 
 The Person_ID is a unique patient identifier used by NHS England with the objective of standardising the approach to patient-level data linkage across different data sets.
 The Data Linkage team has produced a detailed documentation of the data linkage algorithm used to create the Person_ID, namely the Master Person Service (MPS).
-The figure below is an overview of the process. The full documentation is available in [this NHS England site](https://digital.nhs.uk/services/personal-demographics-service/master-person-service/the-person_id-handbook).
+The figure below is an overview of the process. The full documentation is available in [this NHS England site](https://digital.nhs.uk/services/personal-demographics-service/master-person-service/the-person_id-handbook). The MPS handbook particularly focuses on how this algorithm is applied to Hospital Episode Statistics (HES). 
 
 ![Creation of Person_ID via the Master Person Service process flow, high-level representation](../../../images/MPS_fig1.png)
 
+To contact us about this work, email: [[email protected]](mailto:[email protected])
+
 |Output | Link|
 |---|---|
 MPS Diagnostics|[Github](https://github.com/NHSDigital/mps_diagnostics)

diff --git a/docs/our_work/data-linkage-hub/linkage-projects/qaf.md b/docs/our_work/data-linkage-hub/linkage-projects/qaf.md
@@ -3,7 +3,7 @@ title: 'Quality Assurance Framework for Data Linkage'
 summary: 'This project aims to create, test, and distribute a quality assurance framework for data linkage to ensure robust, transparent and auditable results.'
 category: 'Projects'
 origin: 'NHSD'
-tags: ['BEST PRACTICE','EXPLAINABILITY','LINKAGE', 'WIP']
+tags: ['BEST PRACTICE','POPULATION HEALTH', 'EXPLAINABILITY', 'LINKAGE', 'WIP']
 ---
 
 Data Linkage is a business-critical process within many government organisations, including NHS England. Research publications, official statistics, but also many direct care applications depend on data linkage. Its importance is further amplified when considering privacy preserving principles that require to minimise the use of patients' personal identifiable information. Consequently, data linkage is initiated early in the data lifecycle, establishing a substantial **reliance of downstream applications on the quality of the linkage process**.

diff --git a/docs/our_work/tags.md b/docs/our_work/tags.md
@@ -71,6 +71,7 @@ Below the tags are sorted by **categories** (Project Status, Data Sources, Domai
     * [Patient Identifiable](#pii)
     * [Synthetic](#synthetic-data)
     * [Open Data](#open-data)
+    * [Pseudonymised](#pseudonymised)
 
 -   :material-language-python:{ .lg .middle } __Coding Language__
 
@@ -88,4 +89,11 @@ Below the tags are sorted by **categories** (Project Status, Data Sources, Domai
     * [Complete](#complete)
     * [On Pause](#paused)
 
+    **Deployment Level**
+
+    * [In Development](#in-development)
+    * [Retired](#retired)
+    * [Deployed](#deployed)
+    * [Experimental](#experimental)
+
 </div>