DataLoch
@dataloch
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A data service supporting the responsible and secure use of health data to improve care. A partnership of @EdinburghUni and @NHS_Lothian based in @EdinUniUsher.
Joined February 2019
Discover DataLoch's latest updates: Learn about our new Heart Disease Registry and updated prescriptions data that enhance project possibilities. Explore our refreshed website including new Case Studies and a Publications list. https://t.co/EuDd6lsEFN
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Discover how we've played a small, but important, role in enhancing @NHS_Lothian's support for Cyrenians' efforts in tackling homelessness:
linkedin.com
Supporting individuals at risk of homelessness Through close collaboration with NHS Lothian's Analytical Services, the DataLoch team has improved data underlying the Cyrenians InReach service that...
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📢 Registration now open for our next Usher Connects event! The Sudlow Review | Uniting the UK’s Health Data: Implications for Scotland with Professor Cathie Sudlow 21 Aug | 16.00-19.00 | Hybrid | Free & open to all Details & registration 👉 https://t.co/hr4BcYGwnI
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We're excited for #pint25! Get your tickets for #divingintodata in #Edinburgh on Mon.19 May ! A fun night awaits with a pint and learning how data can assess commuting time/mode of transport and how that affects #nurses + #midwives choice of workplace. https://t.co/5kPMOOjiqO
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The application deadline for our Information Governance Coordinator role is 25 March 2025, so only a few days left to get those applications in! https://t.co/WfKHDmyag9
elxw.fa.em3.oraclecloud.com
DataLoch at the Usher Institute within The University of Edinburgh is looking for and Information Governance Coordinator.
Interested in working in a data service that supports research and innovation while ensuring confidentiality? Become our Information Governance Coordinator! More details and how to apply here: https://t.co/WfKHDmyag9
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Join us! We are #hiring here at the Usher Institute. #Vacancy: Information Governance (IG) Coordinator Closing date: 25 Mar 2025 Further details: https://t.co/WvreF4rDOI
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@dataloch @NHS_Lothian @EdinburghUni @atula_tweets @SusanShenkin 🧵(9) I would also like to thank the @dataloch team for their continued support as data providers throughout my PhD work and external collaborations.
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💡 I'm happy to share our latest paper that looks into relationships between in-hospital activity, multimorbidity and post-discharge outcomes in older patients. Now published in Scientific Reports ( https://t.co/CWOIB75gzQ)! 🧵Thread summary:
nature.com
Scientific Reports - Understanding hospital activity and outcomes for people with multimorbidity using electronic health records
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Interested in working in a data service that supports research and innovation while ensuring confidentiality? Become our Information Governance Coordinator! More details and how to apply here: https://t.co/WfKHDmyag9
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We'll be at the Scottish Cardiovascular Forum in Edinburgh on Sat 22 Feb: https://t.co/42L5bfnp4y. We'll present our collaboration with the @HighSTEACS team at @EdinUniCVS which has resulted in the DataLoch Heart Disease Registry (to be launched soon!) funded by @TheBHF
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@NHS_Lothian @HDR_UK @RedStarAI @DataLabScotland @dhiscotland @Ann_Wales @EdinburghUni @atula_tweets @SusanShenkin @HighSTEACS I would like to additionally thank the @dataloch team (part of the Data-Driven Innovation Initiative) for their continued support as our health service partner. 📜 If you're interested in reading more, check out our full article, now out in @braincomms! https://t.co/tIjl1i1dmR
academic.oup.com
Georgiev et al. use a machine learning approach to predict dementia risk in community-dwelling adults over 50 years old in Scotland. In the model’s highest
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🧠 Can Machine Learning reliably predict future dementia in the community? 🧠 🧾In our latest study, we evaluate a Machine Learning model for predicting dementia diagnosis up to 13 years before memory symptoms. 🧵Thread and full article below: https://t.co/tIjl1i1Lcp
academic.oup.com
Georgiev et al. use a machine learning approach to predict dementia risk in community-dwelling adults over 50 years old in Scotland. In the model’s highest
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🧾 ⛏️ Can Process Mining provide novel measures of care complexity in acute hospitalisations? ⛏️🧾 🧵In our latest work, we present a detailed analysis of care pathways in @NHS_Lothian patients presenting with COVID-19 infection. Article link: https://t.co/oGnvvRwvZF.
link.springer.com
Journal of Healthcare Informatics Research - The COVID-19 pandemic caused rapid shifts in the workflow of many health services, but evidence of how this affected multidisciplinary care settings is...
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@dataloch Wonderful collaboration with service providers @dataloch, funded by the The Sir Jules Thorn Charitable Trust. Major thanks to all co-authors for their support in this work: @atula_tweets @SusanShenkin @Jomcpeake22 @HighSTEACS @DDoudesis.
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Our recently published paper in @BioMedCentral Health Services Research looks into the use of routine healthcare data to understand rehabilitation delivery in @NHS_Lothian (Edinburgh) hospitals during the COVID-19 pandemic. Article link:
bmchealthservres.biomedcentral.com
Background Many hospitalised patients require rehabilitation during recovery from acute illness. We use routine data from Electronic Health Records (EHR) to report the quantity and intensity of...
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Discover our latest developments: - new prescriptions data for research; - data for research into social factors on health; - improving support for homelessness services; - collaborating with @CancerDataEdin; and - new @HSCDDITalent training. Visit: https://t.co/AlsDiDRsgk
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📣Our metadata catalogue has had some important updates! Browse to discover datasets from the West of Scotland Safe Haven, plus a wider range of datasets from @dataloch and @P_H_S_Official
https://t.co/uwtjJboYAe
researchdata.scot
RDS has updated its metadata catalogue, bringing closer alignment with partner organisations and adding new datasets for research in the public benefit.
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Following a recent funding call, we're delighted to announce that seven Data Partners will join our pilot UK Real-World Evidence Network. Confirmed Data Partners are: - @NHSBartsHealth - Clinical Practice Research Datalink (@MHRAgovuk) - @dataloch (@EdinburghUni) -
hdruk.ac.uk
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Join this week’s CVS Seminar to learn how routinely collected data can be used for cardiac research! 🗓️ 9 October, 12:00–13:00 Wellcome Auditorium, QMRI @EdinburghBQ Join on Teams ➡️ https://t.co/vWDwmMCsRj
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@Katheri31923970 @agescotland @DFEastLothian @DFPentlands @scottishautism @lcwicks @HWEngage @HeriotWattUni The break was a key opportunity for everyone to engage with stands from @agescotland, @alzscot/@brainhealthscot, @CWAScotland, @dataloch, @DFPentlands, @EnrichScotland, @innoscothealth, @scottishautism, @SULSAtweets and Tay Health Tech
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