Title Name Date
Supporting better healthcare:
An overview of the East Midlands Academic Health Science Network and The Information Analysts Development Programme
Brief Introduction to the AHSN
and the current work
• Fifteen 5 year
licence framework - NHS England funded
• The AHSNs core
purpose is to enable the NHS and academia to work
collaboratively with industry and to identify, adopt and spread of innovation and best practice
What we have done so far
Employ a team of analysts
Procure a region wide data tool ‘Research’
Analysis service
Promote innovation
Develop a training programme for analysts, managers and clinicians
The Team
Gemma has worked in the NHS for over 10 years, starting in Data Quality before moving to Information Services and is now a Senior Information Analyst.
Her main projects include analysing Out of hours working, predicting a patients length of stay to help with capacity planning and investigating readmissions to identify those who are likely to be readmitted.
Pui-Shan has over 10 years experience in analysis in the Public Sector and has worked for
Nottinghamshire Probation Service, and in the NHS, for both Community and Mental Health Provider organisations.
She has worked for a PCT, working closely with Practice Based Commissioning and providing information support on the Countywide Community and Mental Health Contracts, and contributing to and monitoring of local
community PBC pathways.
Glen started his career as a nurse going on to work in professional development and liaison nursing before becoming involved in clinical IT projects.
He has spent most of the past decade working on NHS IT enabled change projects as a change manager and project manager and has managed business change and IT Training teams.
Julie has 20 years experience in Clinical research and trial design and management. Julie graduated this year from The Faculty of Medicine and Health Science at the University of Nottingham with a PhD in Medical
Informatics and Clinical Epidemiology, specialising in the extraction and analysis of medical information captured in electronic patient records using text mining and linguistic
analysis methodologies. In addition a post-doc researcher is
Region wide data tool
More cost effective and quicker to procure a
system than to build in-house and we also didn’t have the budget for a data warehouse team.
Specification was developed with the region. Tender was published Europe wide in March 2014 - 5 bidders, shortlisted to 4.
Evaluation day end of May 2014 with colleagues from primary and secondary care.
HED
In July 2014 the EMAHSN procured the HED tool from
University Hospitals Birmingham for all Providers in the East Midlands, for year one. We will work collectively to bespoke the system and add new data sources.
In year 2, organisations will be able to subscribe to use the system alone or together with services, such as training and analytics.
Costs are unknown because it will be dependant on the
number of organisations and how many years they subscribe. Best case scenario will lead to potential savings of £3m over 5 years compared to current subscriptions
Research
Analysing data using modern techniques, e.g. artificial intelligence, machine learning Links into the School of Computer Science at the University of Nottingham
Links to Experian (credit reference agency) to improve predictive models
Research : Already developed
ED prediction model
Patient acuity model
In Development
Readmission prediction tool
LoS Predictor
Out of hours workload tool
Paper on pollution, emergency
attendance and media
Service Provision
Offering analytical support to the East Midlands:
1. Advice – data sources/ statistics/ defining measures/ interpretation of other analysis
2. Basic data extract – table of data/ report (submission of returns)/ pivot table/ few charts/ meta data
3. Dashboard design
4. Analysis simple – extract plus commentary
5. Analysis complex – multiple datasets, drawing
experience/ expertise, applying specific frameworks, techniques (e.g. simulation, text mining)
Develop a training programme
for analysts, managers and
Background to the programme
Nothing previously existed- only one off courses.
We wanted to encourage analyst recruitment to the East Midlands.
Knowledge that analysts can offer better value if trained.
Move from data churn to data analysis and insight.
What do we mean by ‘professional?’
Professional standards to meet Patient safety and reassurance
Obligation to develop and maintain skills Expected standard of skills and of work Expectation of development opportunities Entry qualifications?
How we got here – what’s needed?
Fact finding
Analyse the training need
What already was out there? (not much) Is it a good idea? (yes)
Design the training programme with
Information leads, Health Education EM, training suppliers, University of
How we got here – design
Designed core programme picking the best available nationally.
Received feedback and tweaked.
Built in additional value – project, case studies, conference, etc.
This year: 5 cohorts (60 IAs)
+ 210 Managers / Clinicians (all funded by the AHSN).
Content: Overview
Day 1: Understand what people need 2 & 3: Statistics
4,5 & 8: Using and presenting information 6 & 7: Measurement for improvement
9 & 10: Data science 11: Presentations
Content
Day 1: Understand what people need 2 & 3: Statistics
4,5 & 8: Using and presenting information 6 & 7: Measurement for improvement
9 & 10: Data science
11: Presentations
Innovation
Foundation
Delivered by
Day 1: Understand what people need 2 & 3: Statistics
4,5 & 8: Using and presenting information 6 & 7: Measurement for improvement
9 & 10: Data science 11: Presentations
Very experienced NHS
Information Analysts /
educationalists
University departments e.g.
Horizon, Dept. of
Day 1 Data Conversations
Includes Managers & Clinicians How to plan, initiate and conduct conversations about data
Explore model for discussing data How to define the question:
Managers & Clinicians ask clearer questions Analysts better able to answer them
Day 2 & 3: Statistics
Demystifying statistics:
applying key elements of basic statistics to NHS problems
Visualising statistics:
exploring distributions, trends, margins of errors and relationships and tools to present this
University of Nottingham designing
Days 4 & 5: Analysing & presenting
The principles of information design:
how to design tables and charts, and use
PowerPoint to present information to include in documents and presentations
Arguing with numbers
how to present complex data succinctly using narratives (written documents)
Day 6 & 7: Measure to improve
Measurement for improvement:
range of tools and techniques to measure changes in practice
Capacity and demand
using process mapping and Statistical
Process Control to define activity, capacity
and demand and ideas for improving capacity and demand
Days 9 & 10: Data Science
Beginning data science:
basic introduction in to data science, introducing key concepts
Moving forward with data science:
overview of new tools and show how easy it is to apply these tools
Days 8 & 11: Presenting
Stand and deliver
how to present data clearly and effectively (spoken / audio-visual presentations)
Final day:
Present projects
Optional sessions available
Data science in depth course (5 days) Measurement for commissioning (1 day) Presentation skills
Report writing
Project presentations
Same format as management meeting
Share experiences and see other’s ideas Good way to try new things in safety
Provides a focus for the learning
Otherwise difficult to carve out time to try new things
It doesn’t only go up to 11….
Best practice conference Mentorship programme
Case studies & eLearning (in development)
Community of practitioners
Rotational secondments being explored Membership of ApHA
Evaluation and evolution
Skills self assessment:
Before starting At the end
6 months
Ongoing feedback – very positive Building into next iterations
Additional sessions being explored Potentially move this to formal
Feedback
“Infosynthesis cycle was very useful and logical, compliments what I am trying to do with my team – I’ll be building it in somehow” (Manager Day 1)
“Fantastic, moving us from Red, Amber, Green!”
“Providing skills that I can take away and really use” “Every time, I use something I’ve learned the next day”
Feedback
“Great building block for the future” “Builds nicely on skills learned over a career and ‘sitting with Nellie’”
“Should be compulsory”
“Practical, stimulating, useful and enjoyable”
Summary & next stages
“At last, something for analysts”
Supporting professional development of NHS Analysts
Considerable interest (oversubscribed) Ensure sustainability: ongoing refinement Share beyond East Midlands
Offer outside healthcare – interest from Rolls Royce
