Brief Introduction to the AHSN and the current work

Transcription

1 Supporting better healthcare: An overview Title of the East Midlands Academic Health Name Science Network and The Information Analysts Date Development Programme Jim Hatton

2 Brief Introduction to the AHSN and the current work

3 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

4 EMAHSN on a Page

5 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

6 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. 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. 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. In addition a post-doc researcher is starting in October

7 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 bidders, shortlisted to 4. Evaluation day end of May 2014 with colleagues from primary and secondary care.

8 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

9 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 Links to Rolls Royce and Lockheed Martin.

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11 Research : Already developed ED prediction model Patient acuity model Simulator software for junior doctors

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13 In Development Readmission prediction tool LoS Predictor Out of hours workload tool Paper on pollution, emergency attendance and media Whole hospital early warning system

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15 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)

16 Promote best practice

17 Develop a training programme for analysts, managers and clinicians

18 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. Professionalise Analysts in the NHS.

19 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?

20 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 Nottingham.

21 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) Managers / Clinicians (all funded by the AHSN).

22 What the programme looks like

23 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

24 Content Day 1: Understand what people need 2 & 3: Statistics Foundation 4,5 & 8: Using and presenting information 6 & 7: Measurement for improvement 9 & 10: Data science 11: Presentations Innovation

25 Delivered by Day 1: Understand what people need Very experienced NHS 2 & 3: Statistics Information Analysts / 4,5 & 8: Using and presenting information 6 & 7: Measurement for improvement 9 & 10: Data science 11: Presentations educationalists University departments e.g. Horizon, Dept. of Epidemiology and Statistics

26 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

27 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 bespoke content for Cohort 5 onwards

28 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)

29 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

30 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

31 Days 8 & 11: Presenting Stand and deliver how to present data clearly and effectively (spoken / audio-visual presentations) Final day: Present projects Introduction to mentorship

32 Optional sessions available Data science in depth course (5 days) Measurement for commissioning (1 day) Presentation skills Report writing Change management

33 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

34 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

35 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 qualification if accredited by a University

36 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 Best course I ve ever been on

37 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

38 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

39 Thank you for listening