September 2024 updates
From Musings to Action: Building a Marketplace for Health Data and Analytics
In our April 2024 blog, we explored the concept of leveraging the marketplace model -exemplified by digital giants like Amazon and Apple to create a dynamic and transformative platform for health data and analytics. The idea, while ambitious, holds immense potential to revolutionise the way we approach healthcare, research, and policymaking. But as we transition from the theoretical to the practical, the question arises: How do we begin to construct such a marketplace, particularly within a complex ecosystem like the NHS?
A Blueprint for Action
To move from musings to action, it is crucial to develop a strategic blueprint that addresses the unique challenges and opportunities within the healthcare sector. This blueprint should be built on several key pillars:
1. Data Governance and Ethical Frameworks
At the heart of any health data marketplace is the sensitive and personal nature of the data involved. Ensuring robust data governance is not just a technical necessity but a moral imperative. This means developing clear, enforceable policies around data security, privacy, and ethical use. The NHS, with its extensive and diverse datasets, must lead by example, establishing standards that prioritise patient confidentiality while enabling the responsible use of data for innovation.
2. Public-Private Collaboration
The marketplace model thrives on collaboration. In the context of health data, this means adopting strong public-private partnerships. The private sector brings technological innovation, agility, and a competitive edge, while the public sector offers oversight, access to comprehensive data, and a focus on public health outcomes. By working together, these sectors can create a platform that balances innovation with responsibility, driving both economic and health-related benefits.
3. Interoperability and Integration
One of the most significant barriers to creating a health data marketplace is the lack of interoperability between different IT systems. For the marketplace to function effectively, data must be able to flow seamlessly across different platforms and institutions. Developing and adopting interoperability standards is critical. This includes not only technical specifications but also agreements on data formats, exchange protocols, and semantic interoperability to ensure that data can be understood and utilised by all stakeholders.
4. User-Centric Design
For the marketplace to be successful, it must be designed with its end-users in mind - whether they are healthcare professionals, researchers, or patients. This requires a user-centric approach to design that prioritises ease of use, accessibility, and the specific needs of different user groups. Platforms should be intuitive, with clear interfaces and tools that make it easy to access, analyse, and share data. Engaging users in the design process can help ensure that the marketplace meets a wide range of needs and expectations.
5. Innovation Ecosystem
To stimulate the creation of new analytical tools and healthcare solutions, the marketplace must adopt an innovation ecosystem. This involves providing incentives such as funding, mentorship, and access to data for start-ups and innovators. By creating a supportive environment for experimentation and development, the marketplace can become a hub for cutting-edge healthcare solutions, much like the app ecosystems of Amazon and Apple.
Addressing the Challenges
While the potential benefits of a health data marketplace are significant, the challenges are equally substantial. Data protection regulations, such as GDPR, impose strict requirements on how personal data can be used and shared. Ensuring compliance while enabling innovation requires a nuanced approach that respects both legal obligations and the public’s trust.
Moreover, the NHS’s role as a steward of public health means that any marketplace initiative must be aligned with broader health outcomes. This requires ongoing dialogue with stakeholders, including patients, healthcare providers, and policymakers, to ensure that the marketplace evolves in a way that benefits all.
The Path Forward
Creating a health data marketplace is not a one-time effort but an ongoing journey. It will require investment, collaboration, and a willingness to adapt as new challenges and opportunities arise. By building on the successes of digital marketplaces in other sectors and tailoring these models to the unique needs of healthcare, we can create a platform that drives innovation, improves patient outcomes, and ultimately transforms the way we approach health and wellness.
As we move forward, it is crucial to maintain a focus on the core values that underpin the healthcare system: trust, transparency, and a commitment to improving the lives of patients. With these values at the forefront, the dream of a health data marketplace can become a reality, one that serves the needs of all and helps to usher in a new era of healthcare innovation. We urge you all to look at the Solution Exchange as a starter-for-ten for a marketplace NHS England ? Solution exchange.
#digitaltransformation #datatransformation #marketplace #solutionexchange #healthcare #analytics #data #analytics
And now on to all the great stuff the AnalystX community has been doing.
AnalystX update:
?Workforce professionalisation :
The professionalisation team have a busy September ahead. With one month until the one year anniversary of the NCF launch, September will be a bumper month for the team, with pod cast episodes being released and recorded, case studies being uploaded to AnalystX, and more Andy Lavelle videos on LinkedIn.?We will also be releasing the first results from the summers AnalystX Observatory focus groups.?
To receive updates, please visit
We also urge you to look at the work that the National Competency Framework Team has been undertaking. (add her linked in address) has a great blog here - https://www.dhirubhai.net/posts/national-competency-framework_careers-data-development-activity-7236349253617348608-DoQW
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AnalystX Observatory
Focus Group Frenzy
The AnalystX Observatory have had a busy month running a series of Focus Groups on the impacts of ineffective questions on data teams and how these could be structured better to get more effective and efficient outcomes.
The team are now beginning the analysis of the feedback received and will be producing a report in September 2024 on their findings.
More information on the AnalystX Observatory can be found here
Huddles:
Cecilia Lungu Harveen KC Waqas Ali MCMI, MIHM, CIPM, CICM, EICP Pilot (Flying Scholar)
We are back from summer holiday, Come and join us for a huddle all about Process Mining!
This session will introduce process mining, demonstrating how it can be leveraged to improve patient outcomes and operational efficiency in healthcare settings. The huddle will be led by the Process Mining AnalystX community of practice:
Ruby Nicholls , a Senior Analyst from NHSE East of England, who will share her experience applying process mining to elective data.
ZhiQian Huang and Nigel Cullumbine from Logan Tod & Co, specialists in engaging operational and clinical staff to utilise process mining for driving change and improvement in healthcare
During this session, we will cover:?
?1.??? An introduction to process mining and its fundamental concepts.
2.??? The application of process mining in healthcare, including real-world examples and case studies.
3.??? An update on our growing process mining community of practice.
4.??? Available resources for those interested in learning more or implementing process mining in their organisations.
5.??? Examples of ongoing work using process mining as an advanced analytical technique in the NHS.
?We'll showcase how process mining can help uncover what truly happens in patient journeys, analyse complete datasets in a matter of days or hours, and identify opportunities for better resource allocation. You'll learn how Trusts are using this technique to interrogate exceptions to patient journeys and improve care coordination. This huddle is suitable for any staff groups who are looking for different methods to explore patient journeys.
When:? Tuesday 10/09/2024,
Time:??? 11:00am – 12:00 noon?
Where: Microsoft Teams Meeting?
Communities update:
Data viz and BI community
Sonu Mittal Alistair Bullward Rozanne Addams Farhad Hossen
BI & Viz Community of Practice Meeting will be held on the 10th September 2024 between 13:00-14:00 to join this community, please visit Data Visualisation and BI - AnalystX - FutureNHS Collaboration Platform and join via the slack channel.
Data Engineering Community of practice
We’re meeting on the 26th September at 10:30 to discuss Data Vault. Paul and Nick from NHS England will be taking us through it.? To site up for this event, please visit? NHS Data Engineering - AnalystX - FutureNHS Collaboration Platform and join via the slack channel.
Our data engineering steering group would like to hear from our data and analytics colleagues to refine our deliveries. Please complete the questionnaire here ?
Process mining community
Our community launch event will be held on the 10th September between 11-12pm, please sign up to the email via our huddles invite, AnalystX Huddles - AnalystX - FutureNHS Collaboration Platform. To find out more about how you can adopt process mining, visit Process mining - AnalystX - FutureNHS Collaboration Platform for introduction, current projects and learning and development material.
Nhs.pycom
The next show and tell will be held on the 1st October, title: A Python resource for modelling short-term demand for emergency beds.
领英推荐
Dr Zella King, Health Data Scientist in the Clinical Operational Research Unit at UCL is the lead researcher on this work. In this webinar, she will show an example of how to do this modelling in Python including:??
For more details see the repo here https://github.com/zmek/patientflow?and watch Zella's recent webinar on how to turn your EHR data into predictions of emergency demand
If you are interested to join the nhs.pycom community or to learn more about the development in python within the NHS, please visit NHS.pycom - AnalystX - FutureNHS Collaboration Platform
Generative AI working group.
The next Gen AI working group presentation will be held on the 25th September 2024, Adam Byfield will be presenting the overview of Artificial Intelligence Quality (AIQ) CoP
To learn more about our Gen AI use cases and example, or if you would like to join our team, please visit? Generative AI - AnalystX - FutureNHS Collaboration Platform
To sign up for future events for the Gen AI working group, please use this form.
Strategic partners events and updates:
Databricks world tour
Databricks Data & AI World Tour 2024
Wednesday 11 September 2024 from 09:00 to 17:00
The Data and AI world tour from Databricks is a great opportunity to learn more about Databricks; exploring opportunities to get hands on with our platform, understanding more about our learning and enabling opportunities and finally to see where our Generative AI capabilities enabling and increasing productivity, self service and flexibility and scalability with auto provisioning.
South East Digital Skills Development Network
Our latest events mailer is out now! Click here for the latest events and opportunities from the South East! What's on in the South East this Autumn? | LinkedIn
HDR UK learning news and opportunities
ESRI UK
Interworks
Go! Tableau
Wed, 4th Sept, 2-3:30pm
Join us for a free, 90-minute hands-on introduction to Tableau Desktop and learn how self-service analytics can evolve and transform your business.
Whether you’re an Excel wizard or completely new to analysis, this interactive webinar will have you ready to Go! Tableau.
Zoom registration link: https://interworks.zoom.us/webinar/register/5217016975793/WN_aoy_5AukRR23vF_pAJn5dA#/registration
(Please note attendees will require a tableau Creator licence or they can sign up for a trial licence
Snowflake
The Snowflake Data Cloud World Tour will be held on the 11th October 2024, To attend this event, please visit https://www.snowflake.com/events/snowflake-world-tour-london/
Developer Workshops: Learn. Build. Connect. Free half a day workshop on 12th of September 2024
Learning and development opportunities
Below is a list of strategic partner academies with free learning for NHS colleagues.
Snowflake
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Microsoft
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Databricks
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Celonis
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Oracle
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Special thanks to all our AnalystX supporters:
Ming Tang Ayub Bhayat Emmi Poteliakhoff MBE Ed Kendall Sukhmeet Panesar Alex Cheung Janet Broome Benjamin Tucker Rowan Bradnum Danny Silk Lauretta Anderson Peter Rodgers Steve Adams Aslam Atcha Tilly Allen Abigail Leachman Hugh Neylan Sarah Culkin Ian Townend Shabs (Shabbir) Lorgat Steve Faro Sarah BlundellSamantha Menot Paul Reid Paul Parker Hassan Chaudhury Alex Lawrence Robert Walker Elisa Anastasi Dr Mustafa Ghafouri Tristi Tanaka Leontina Postelnicu James Aitman Simon Wellesley-Miller Charlotte Lewis Angela McFarlane Rony Arafin Rosalind Way Libby Duane Adams Sukhmeet Panesar Ruth Holland Steven Totman Lauren Chadwick Filipe Santos Filipe Gracio, PhD Filipe McManus Mark Bailey Tiffany Young Phillip Akers Chris Howarth Christine Banks Chris Habberley Karina Gajewska Kwesi Afful Mark Shill David Bibbs Chris Love Zo? Turner Chris Mainey Emma Karoune nicola troup Liam Mahon MSc North West Skills Development Network Skills Development Network Yorkshire & Humber Branch Skills Development Network North East and North Cumbria
Head of Coding and Data Standards (and RAP guy) at NHS England
2 个月Some great thoughts in here! Crucial to getting the most out of our patient data, and hence most benefitting the public will be, as you raised, clear and enforceable standards around reuse and interoperability, not just for the data themselves, but also the methods used to process them, e.g. Making an open library of reusable platform agnostic python and R code so that people are not just bystanders, but they can see, and contribute to, the very tools we use to analyse and curate the data, and make use of those in their own usecases.