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Learn R, Python & Data Science Online

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Learn Data Science & AI from the comfort of your browser, at your own pace with DataCamp’s video tutorials & coding challenges on R, Python, Statistics & more.

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A machine learning and data science community

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Discover what actually works in AI. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons.

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Microsoft support define and describe all the functions available in Excel
(you may need to log in to your NHS Office 365 account to access the page)

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A complete list of all Excel functions in alphabetical order.

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To host an MSc student submit a project idea to ABCi by the 18 th February 2022 using the attached template to ABCi.ABB@wales.nhs.uk

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MAT099 Project Brief Template Summer 2022

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#PlotTheDots Making Data Count for the NHS

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#PlotTheDots Making Data Count for the NHS

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NHSImprovement have developed a range of tools, how to guides, resources  and videos to enable NHS Teams and Boards to make better use of their data.

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Health and high quality care for all, now and for future generations

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This video describes what is OR and examples it can be used in

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What is Operational Research? – Full feature

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This video describes how to improve your skills in storytelling with data

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HOW TO IMPROVE YOUR SKILLS IN STORYTELLING WITH DATA WITH COLE NUSSBAUMER KNAFLIC

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This video describes what geographical modelling is and where it can be implemented

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This video describes the difference between data and statistics

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What's the difference between data and statistics

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Video which describes what is simulation and why is it used for decision making

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What is simulation_ Why is it used for decision-making

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COVID-19: Test, Trace and Protect in Wales

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COVID-19: Test, Trace and Protect in Wales

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Publication on the work supported by Modelling Unit

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CONTACT TRACING IS AN ACKNOWLEDGED STRATEGY to limit the spread of Covid-19 in the community by breaking potential transmission links. In Wales, the Test, Trace, Protect (TTP) strategy includes an approach to testing people with symptoms in the community, tracing those they have come into close contact with, who may be at risk of having the virus, and protecting family, friends and our community by self-isolating. While so-called tracers collect all relevant information from symptomatic people only once, TTP advisors stay connected with (asymptomatic) contacts of Covid-19 cases for up to a fortnight - unless these contacts become cases themselves.

Aneurin Bevan University Health Board (ABUHB) is responsible for all healthcare needs of nearly 650,000 residents across Gwent, an area covering five boroughs in the South-East of Wales, and parts of neighbouring Powys. The Gwent TTP Service (GTTPS) is a collaboration between five Local Authorities (Caerphilly, Blaenau Gwent, Monmouthshire, Newport and Torfaen) and ABUHB.

The GTTPS asked the Modelling Team at ABUHB's Continuous Improvement Centre (ABCi) to develop a tool assisting long-run workforce planning. It was intended that this tool would ensure that the GTTPS would better understand and anticipate workforce demand through autumn and winter 2020/21 to allow timely recruiting and training of contact tracers and advisors.

COPRODUCING A DECISION-SUPPORT TOOL

Informed by intensive discussions and continuous adaption to the GTTPS's needs, an Excel tool 'translating' the forecasted number of Covid-19 cases into workforce requirements was jointly developed. A screenshot of the tool can be seen in Figure 1. The expected (weekly) numbers of tracers and advisors (needed to turn around 99.9% of all service requests in 24 hours) were expressed in whole-time equivalents (WTE). The user must identify the following information before running the tool: 'Utilisation of Service (in %)', 'Baseline number of contacts per case', 'Average length of tracer call', 'Average length of first advisor call', 'Average length of contact follow-up advisor calls', 'Effective weekly working hours' and 'Proportion of contacts opting in for a follow-up call'. Some of these parameters are included as stationary values, others as time series, like the number of contacts per case.

All parameter values were initially calibrated based on expert opinion/experience and updated continuously, guided by the GTTPS's observations. For example, around 65% of contacts preferred to be followed up via phone - not via text message. The number of contacts per case varied substantially. It came down from 6 to 7 in summer 2020 to a median of 1.9 through autumn 2020, dwindling to 1.4 since Wales went into lockdown on 20 th December 2020. Also, for every four people hired to work fulltime (37.5 hours per week), a fifth person accounts for all sick leave, annual leave, etc. This results in a WTE ratio of 1.25. In other words, if a person is employed to work 37.5 hours full-time, the time effective for workforce planning is equal to 30 hours.

ENABLING DIALOGUE AND INFORMED DECISIONS

The number of positive cases can be entered into the TTP Workforce Planning tool to compute the (modelled) number of tracers and advisors over time. These numbers enable decision-makers to come together and test the impact of their assumptions - embodied in parameter choices - on recommendations. The process of how parameters 'translate' into the expected workload becomes transparent. Additionally, (automatically updating) charts compare observed and forecasted case numbers. Likewise, the tool visualises modelled staff numbers and those recruited (and planned to be recruited) throughout the pandemic. So far, these visualisations enabled fruitful conversations between members of Local Authorities and ABUHB, mathematicians, epidemiologists, and public health experts − and empowered effective decision-making.

UNDERSTANDING THE PITFALLS OF PLANNING WITH AVERAGES

Another issue was made transparent in discussions using the tool. The 'fuzz-free' modelling utilising average numbers for strategic planning anticipates implicitly service provision at full capacity. In other words, the recommended workforce size returned by the model can cope with averaged demand, not with peaks in demand. The latter leads to delays, which are highly counterproductive for contact tracing. The tool enabled insightful dialogue about this often-ignored fact. As a way out, the TTP Workforce Planning tool provided the inbuilt functionality to dial down utilisation from 100% to a lower level, e.g. 85%, to also account for training.

COLLABORATING FOR SUCCESS

By early February 2021, the strategic Workforce Planning tool had demonstrated the ability to support decision-making for scale-up approaches within the GTTPS. Jonathan Keen, Head of the Coordination Unit for the Gwent Test Trace Protect Service (GTTPS): 'The TTP Workload model was an invaluable tool to assist the Gwent Test Trace Protect Service to determine the additional recruitment required to deliver contact tracing at a time of increasing case numbers. It provided a clear understanding of the potential trajectory for the number of Covid-19 cases and contacts of cases. It then estimated the workforce required to manage this level of demand effectively. This was used to provide a rationale for the final decision on numbers to be recruited, and therefore for the additional financial cost that was to be incurred'.

The TTP Workload model was an invaluable tool to assist the Gwent Test Trace Protect Service to determine the additional recruitment required to deliver contact tracing at a time of increasing case numbers

The tool has also been able to project staffing ratios (using epidemiological models) required to deliver an effective service for the Gwent communities. Looking into the GTTPS's future, the tool enables a forward-thinking look of future scale up and scale down approaches for workforce planning that will require utilising different staff ratios as we progress through this pandemic.

Doris A. Behrens is a Professor at the Danube University Krems, Austria, and head of the department for Economy and Health. She holds Postdoc positions at Cardiff University and Aneurin Bevan University Health Board.Daniel Gartner is a Senior Lecturer of Operational Research and a researcher-in-residence at the Aneurin Bevan University Health Board's Mathematical Modelling Unit.Jeff Brown is Programme Manager for the Regional Cell Delivery Programme (part of the Gwent Test Trace and Protect Service) and Director of JBPS Advisory Solutions Limited.Eryl Powell is a Consultant in Public Health for Public Health Wales. During the Covid-19 pandemic she is the lead for the Aneurin Bevan University Health Board Incident Coordination Centre and is the Health Board lead for the Gwent Test Trace Protect Service.Daniel Westwood, Senior Project Manager within Aneurin Bevan Health Board for the Test, Trace and Protect Programme is based at the Aneurin Bevan University Health Board Incident Coordination Centre.Izabela Spernaes is a service lead for the Mathematical Modelling team within the Aneurin Bevan Continuous Improvement team (ABCi). As part of this role, she is raising the awareness of modelling in the health board.

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CONTACT TRACING IS AN ACKNOWLEDGED STRATEGY to limit the spread of Covid-19 in the community by breaking potential transmission links. In Wales, the Test, Trace, Protect (TTP) strategy includes an approach to testing people with symptoms in the community, tracing those they have come into close contact with, who may be at risk of having the virus, and protecting family, friends and our community by self-isolating.

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Frameworks for Evaluating Education Programmes and Work Related Learning: a Scoping Review

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Frameworks for Evaluating Education Programmes and Work Related Learning: a Scoping Review

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Publication on AMA training evaluation. Work suppoerted by the Health Foundation and Swansea University

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To read the full version of this content please select one of the options below:

Abstract

Purpose

It has become accepted practice to include an evaluation alongside learning programmes that take place at work, as a means of judging their effectiveness. There is a tendency to focus such evaluations on the relevance of the intervention and the amount of learning achieved by the individual. The aim of this review is to examine existing evaluation frameworks that have been used to evaluate education interventions and, in particular, assess how these have been used and the outcomes of such activity.

Design/methodology/approach

A scoping review using Arskey and O'Malley's five stage framework was undertaken to examine existing evaluation frameworks claiming to evaluate education interventions.

Findings

Forty five articles were included in the review. A majority of papers concentrate on learner satisfaction and/or learning achieved. Rarely is a structured framework mentioned, or detail of the approach to analysis cited. Typically, evaluations lacked baseline data, control groups, longitudinal observations and contextual awareness.

Practical implications

This review has implications for those involved in designing and evaluating work-related education programmes, as it identifies areas where evaluations need to be strengthened and recommends how existing frameworks can be combined to improve how evaluations are conducted.

Originality/value

This scoping review is novel in its assessment and critique of evaluation frameworks employed to evaluate work-related education programmes.

Keywords

Citation

Caley, L., Williams, S.J., Spernaes, I., Thomas, D., Behrens, D. and Willson, A. (2021), "Frameworks for evaluating education programmes and work related learning: a scoping review", Journal of Workplace Learning, Vol. 33 No. 6, pp. 486-501. https://doi.org/10.1108/JWL-09-2020-0157

Publisher
:
Emerald Publishing Limited

Copyright

© 2021 Emerald Publishing Limited

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Frameworks for evaluating education programmes and work related learning: a scoping review

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To read the full version of this content please select one of the options below: It has become accepted practice to include an evaluation alongside learning programmes that take place at work, as a means of judging their effectiveness.

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Text Annotation using Textual Semantic Similarity and Term-Frequency (Twitter).

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Text Annotation using Textual Semantic Similarity and Term-Frequency (Twitter).

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Abstract

Researchers on social-media understandably assert that the contributions social media has made on various sectors is massive. Business development managers today have directed a huge amount of effort in strategizing efficient collaboration with both customers and other organizations using social-media. Despite the visible impact social media has made, a lot of digitally shared information is yet to be revealed. Gradually twitter has become the main hub for many Information system researchers because tweets can freely be accessible in real-time by anyone. Motivated by earlier studies where IS researchers addressed big-data analysis and management by employing content analysis techniques, this paper proposes a novel approach to perform unsupervised classification of the tweets into different labels. It introduces a unique algorithm that uses semantic similarity between texts, Term-frequency and a determinant threshold to perform content analysis. The goal of this approach to extract relevant features from a tweet thus reducing dimension and preparing training datasets that would be used to build classifiers.

Recommended Citation

Abaho, Michael; Gartner, Daniel; Ceruti, Federico; and Boulton, John, "Text Annotation using Textual Semantic Similarity and Term-Frequency (Twitter)." (2018). Research Papers. 205.
https://aisel.aisnet.org/ecis2018_rp/205

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Text Annotation using Textual Semantic Similarity and Term-Frequency (Twitter).

# data[].attributes.attachment_link.description
Researchers on social-media understandably assert that the contributions social media has made on various sectors is massive. Business development managers today have directed a huge amount of effort in strategizing efficient collaboration with both customers and other organizations using social-media. Despite the visible impact social media has made, a lot of digitally shared information is yet to be revealed.

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Near real-time bed modelling feasibility study

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Near real-time bed modelling feasibility study

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Near real-time bed modelling feasibility study

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ABSTRACT Hospital bed management is crucial to ensure that patients do not have to wait for the right bed for their care. A simulation model has been developed that mimics the bed management rules applied to the Trauma & Orthopaedic wards of a busy Welsh hospital.

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Build Skills with Online Courses from Top Institutions

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Coursera | Degrees, Certificates, & Free Online Courses

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Learn new job skills in online courses from industry leaders like Google, IBM, & Meta. Advance your career with top degrees from Michigan, Penn, Imperial & more.

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Online Courses - Learn Anything, On Your Schedule

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The NHS WMC is a driven community of health analysts, planners, manager and clinicians working to inspire good practice across NHS Wales

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the Association of professional healthcare analysts

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AphA - Association of Professional Healthcare Analysts

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Member Benefits

AphA Membership brings many benefits in the form of professional support and personal development.

We are continually looking at advancing our offer, as soon as you join you'll start to experience a variety of excellent benefits:

Stay in the know about all kinds of relevant opportunities, events, policy updates, research, and more by reading our email newsletters and magazine.

Take advantage of exclusive member's content and discounted training offers.

Find relevant analytical learning materials and keep your knowledge up to date.

Discounts - attend our events and conference at a low or free member rate.

Website exclusive member's only section, keeping you up to date with the latest news and content.

Receive the only analytical magazine in town! As a member you'll receive our monthly magazine with excellent articles and relevant analytical work examples.

News alert email every two weeks - keeping you updated with the latest healthcare analytical news and stories.

Build your profile by volunteering to serve as an assessor to review professional registration applications.

Receive a certificate of professional registration accreditation to showcase your achievement and commitment to analytics.

Email signature with AphA logo.

Be ahead of the game and help shape AphA's journey.

Find out more

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AphA Home - AphA - Association of Professional Healthcare Analysts

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Member Benefits AphA Membership brings many benefits in the form of professional support and personal development. We are continually looking at advancing our offer, as soon as you join you'll start to experience a variety of excellent benefits: Stay in the know about all kinds of relevant opportunities, events, policy updates, research, and more by reading our email newsletters and magazine.

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Some great articles

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The Health Foundation is an independent charity committed to bringing about better health and health care for people in the UK

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The Health Foundation is an independent charity committed to bringing about better health and health care for people in the UK. Find out more about us.

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Understanding analytical capability in health care

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Understanding analytical capability in health care

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A Monte Carlo Simulation Model for Evaluating the Effectiveness of Interventions along the ‘Diabesity’ Pathway

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A Monte Carlo Simulation Model for Evaluating the Effectiveness of Interventions along the ‘Diabesity’ Pathway

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Discrete-Event Simulation Modeling of Critical Care Flow: New Hospital, Old Challenges

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Discrete-Event Simulation Modeling of Critical Care Flow: New Hospital, Old Challenges

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Publication on the work completed by MSc student working with CCU at the Royal Gwent Hospital

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NHS-R Community - Promoting the use of R in the NHS

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By Tom Jemmett R is a highly capable GIS tool, thanks to the {sf} pacakge. In this post I am going to show you how you can use {sf} with openly available data to calculate catchment areas and population sizes, and then how to calculate travel time isochrone's with {osrm}....

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NHS-R provides funding to Solutions - R packages or training that will help the NHS to take advantage of the huge benefits of R. If you have a Solution you think NHS-R should consider - Please see here.

The NHS-R community continue to seek ways to promote and reward all the kind and talented people using R all over health and social care. You can apply to become a NHS-R Community Fellow, Associate or Champion. More information can be found here

Registration for our July webinar: Assessing the impact of covid-19 on hip replacement rates using R and R Markdown is now open! Click here for more information

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NHS-R Community - Promoting the use of R in the NHS

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The NHS-R community aims to support the learning, application, and exploitation of R, and promoting the use of R in the NHS through workshops, video tutorials and providing a platform for discussion and sharing of developing best practice solutions to NHS problems.

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A professional membership body for operation researchers, data scientists and analysts

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Our diverse global community of operational researchers and analysts is the ga teway to a thriving career. As a member, you will access the tools you need to thrive in your profession at every stage of your career. You will enjoy di s tinct networking opportunities, an ever-developing library of insight and resource, and a rich programme of events and training.

Explore our member benefits in full to choose the right fit for you .

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Our diverse global community of operational researchers and analysts is the ga teway to a thriving career. As a member, you will access the tools you need to thrive in your profession at every stage of your career. You will enjoy di s tinct networking opportunities, an ever-developing library of insight and resource, and a rich programme of events and training.

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The European Working Group on
Operational Research Applied to Health Services

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ORAHS 2022

The 48th annual meeting of the EURO Working Group on Operational Research Applied to Health Services (ORAHS 2022) will take place in Bergamo (IT) (hopefully on site) organized by Ettore Lanzarone from the University of Bergamo and Giovanni Righini from University of Milano

Visit these pages regularly for updates!

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The 48th annual meeting of the EURO Working Group on Operational Research Applied to Health Services (ORAHS 2022) will take place in Bergamo (IT) (hopefully on site) organized by Ettore Lanzarone from the University of Bergamo and Giovanni Righini from University of Milano Visit these pages regularly for updates!