Merge pull request #77 from nhsengland/aib-add-linkage-project-page

data linkage enhancement project page

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','PREDICTOR','RANDOM FOREST', 'CLASSIFICATION', 'TIME SERIES', 'PYTHON']
+tags: ['AMBULANCE','PREDICTION','RANDOM FOREST', 'CLASSIFICATION', 'TIME SERIES', 'PYTHON']
 ---
 
 ![Ambulance Handover Delay Predictor screenshot](../images/ambulance-delay-predictor.png)

docs/our_work/linkage.md

@@ -0,0 +1,34 @@
+---
+title: 'Data Linkage Enhancement'
+summary: 'The data linkage enhancement project 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']
+---
+![Diagram representing the three current areas of the data linkage project: Quality Assurance, Better Matching Algorithm, and Data Linkage as a service.](../images/linkage_visual_abstract.png)
+
+Data Linkage is a business-critical process within many government organisations, including NHS England. Being able to link patients across their care journey, making sure that underrepresented populations are not lost in the cracks, and ensuring compatibility when using several data sets for the same purpose is a pillar of why the Data Linkage Enhancement team exists. 
+
+## **Work we do**
+### Quality Assurance Framework
+If we want to achieve a consistent and high quality approach to linking data, which allows for robust, transparent and auditable results, we also need a framework to operate within. Hence, this workstream aims at creating, testing and implementing in the business process a Quality Assurance Framework for Data Linkage.
+
+### Better Matching Algorithm
+We're currently working on implementing a [probabilistic linkage model](https://www.bristol.ac.uk/media-library/sites/cmm/migrated/documents/problinkage.pdf) using [Splink](https://moj-analytical-services.github.io/splink/index.html), in order to improve linkage outcomes, and by extension, patient outcomes. 
+
+### Data Linkage as a service
+This is the umbrella covering everything else we do. This stream of work encompasses:
+
+- identifying points of collaboration with other government departments 
+- mapping the stakeholders involved in data linkage - both internal and external
+- feeding user needs into an overall Data Linkage vision
+
+Part of this stream of work was also [documenting how the Person_ID is generated via the Master Person Service](https://digital.nhs.uk/services/personal-demographics-service/master-person-service/the-person_id-handbook), to make the current process of linking data in the NHS more transparent and easy to understand. 
+
+[comment]: <> (The below header stops the title from being rendered (as mkdocs adds it to the page from the "title" attribute) - this way we can add it in the main.html, along with the summary.)
+#
+
+|Output | Link|
+|---|---|
+MPS Diagnostics|[Github](https://github.com/NHSDigital/mps_diagnostics)
+Person_ID Handbook | [NHS England Website](https://digital.nhs.uk/services/personal-demographics-service/master-person-service/the-person_id-handbook)
+ Quality Assurance Framework | [Work in Progress Link](https://musical-journey-mzj2woo.pages.github.io/) 

docs/our_work/long-stay.md

@@ -3,7 +3,7 @@ title: 'Long Stayer Risk Stratification'
 summary: 'Machine learning using historical data from Gloucestershire Hospitals NHS Foundation Trust to predict how long a patient will stay in hospital upon admission.'
 category: 'Projects'
 origin: 'Skunkworks'
-tags: ['LOS','NEURAL NETWORK','RISK MODEL','PYTHON']
+tags: ['LOS','NEURAL NETWORKS','RISK MODEL','PYTHON']
 ---
 
 ![Long Stayer Risk Stratification screenshot](../images/long-stay.png)