In association with
An on-demand version of this webinar is available.
“Garbage in, garbage out” is a phrase often used about big datasets. However slick IT systems are, they can only produce the desired results if the data they are manipulating is accurate and as up-to-date as possible. That’s true in the NHS, where basic patient data can often be inaccurate — not through the failings of individuals or systems but because it has become outdated over time.
That presents problems when that data is relied on — for example, in sending out appointment information to patients — and can be embedded when electronic patient record systems are installed or upgraded. Not preparing data before migration can lead to difficulties, including delays to “go live”. But what can be done to improve this?
This HSJ webinar, in association with Experian Data Quality, asked:
- How much of a problem is inadequate, incorrect, or outdated patient data for the NHS? What are the consequences of this?
- How can trusts ensure that the basic data they hold about patients — such as correct names and addresses — is as up-to-date as possible?
- How can “data silos” be overcome so that everyone involved in a patient’s care is seeing the same basic data?
- What can be learnt from organisations that have made a concerted attempt to “cleanse” their data? What sort of improvements have they seen, and what does this mean for the NHS?
Panellists
Richard Sutcliffe, principal data consultant, ThinkTribal
Richard Sutcliffe is an experienced healthcare data quality professional, with extensive expertise in data governance, metadata management, and data strategy. He has led numerous large-scale data projects, notably in his role at NHS Digital, where he managed the development of the Data Access Environment and orchestrated the migration of more than 200 external customers to this platform. His leadership in healthcare data services also includes the creation of scalable metadata repositories and enhancing data quality across systems. Richard has a proven track record of applying Agile methodologies and delivering innovative healthcare data solutions.
May Rowe-Spencer, principal population health analyst, Lewisham and Greenwich Trust
May has worked in population health for the past three years, before which she worked in performance analytics for North Central London.
Both areas involve sharing data across organisations, and May has broad experience with the range of challenges this can throw up and the ways data quality issues can be mitigated and improved. In population health in particular, sharing patient-level records across provider organisations can highlight discrepancies, and also makes many more things possible.
Rachel Tavener, senior account manager, Experian Data Quality
Rachel is a senior healthcare specialist with more than 15 years’ of experience in the industry. Partnering with a variety of UK NHS trusts, she’s passionate about showing clients the value of their data, helping them solve problems in areas such as counter fraud and data quality.
Alison Moore, contributor, HSJ (webinar chair)
Alison is an HSJ correspondent covering the South East and ambulance services nationally. She has worked in health journalism, mainly as a freelance, for many years and was previously deputy editor of a magazine for doctors.
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