Reaching the full potential of applying a common data model to Scottish clinical data to support research feasibility queries

Carole Morris; Gordon Milligan; Erum Masood; James Watson; Bianca  Prodan; Charlotte Weaver; Kostas Kavoussanakis; Michael Jackson; Giulia Deiana; Alex Knight

doi:10.20933/100001464

Reaching the full potential of applying a common data model to Scottish clinical data to support research feasibility queries

Carole Morris
, Gordon Milligan
, Erum Masood
, James Watson
, Bianca Prodan
, Charlotte Weaver
, Kostas Kavoussanakis
, Michael Jackson
, Giulia Deiana
, Alex Knight

Health and Clinical Services

Research output: Contribution to conference › Poster › peer-review

28 Downloads (Pure)

Abstract

We established a scalable cohort discovery environment, expanded the range of population-wide Scottish clinical data for researcher feasibility queries, and embedded semi-automated processes to support the transformation and flow of data to the HDR UK Cohort Discovery Tool.

Original language	English
DOIs	https://doi.org/10.20933/100001464
Publication status	Published - 2025
Event	Health Data Research UK Conference - Scottish Event Campus (SEC), Exhibition Way, Glasgow, United Kingdom Duration: 15 Oct 2025 → 16 Oct 2025 https://www.hdruk.ac.uk/about/hdr-uk-conference/

Conference

Conference	Health Data Research UK Conference
Country/Territory	United Kingdom
City	Glasgow
Period	15/10/25 → 16/10/25
Internet address	https://www.hdruk.ac.uk/about/hdr-uk-conference/

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10.20933/100001464Licence: CC BY-NC

Reaching the full potential of applying a common data model to Scottish clinical data to support research feasibility queriesFinal published version, 2.08 MBLicence: CC BY-NC

Health Informatics Centre
Health and Clinical Services
Facility/equipment: Facility

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Morris, C., Milligan, G., Masood, E., Watson, J., Prodan, B., Weaver, C., Kavoussanakis, K., Jackson, M., Deiana, G., & Knight, A. (2025). Reaching the full potential of applying a common data model to Scottish clinical data to support research feasibility queries. Poster session presented at Health Data Research UK Conference, Glasgow, United Kingdom. https://doi.org/10.20933/100001464

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title = "Reaching the full potential of applying a common data model to Scottish clinical data to support research feasibility queries",

abstract = "We established a scalable cohort discovery environment, expanded the range of population-wide Scottish clinical data for researcher feasibility queries, and embedded semi-automated processes to support the transformation and flow of data to the HDR UK Cohort Discovery Tool.",

author = "Carole Morris and Gordon Milligan and Erum Masood and James Watson and Bianca Prodan and Charlotte Weaver and Kostas Kavoussanakis and Michael Jackson and Giulia Deiana and Alex Knight",

year = "2025",

doi = "10.20933/100001464",

language = "English",

note = "Health Data Research UK Conference ; Conference date: 15-10-2025 Through 16-10-2025",

url = "https://www.hdruk.ac.uk/about/hdr-uk-conference/",

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Morris, C, Milligan, G, Masood, E, Watson, J, Prodan, B, Weaver, C, Kavoussanakis, K, Jackson, M, Deiana, G & Knight, A 2025, 'Reaching the full potential of applying a common data model to Scottish clinical data to support research feasibility queries', Health Data Research UK Conference, Glasgow, United Kingdom, 15/10/25 - 16/10/25. https://doi.org/10.20933/100001464

TY - CONF

T1 - Reaching the full potential of applying a common data model to Scottish clinical data to support research feasibility queries

AU - Morris, Carole

AU - Milligan, Gordon

AU - Masood, Erum

AU - Watson, James

AU - Prodan, Bianca

AU - Weaver, Charlotte

AU - Kavoussanakis, Kostas

AU - Jackson, Michael

AU - Deiana, Giulia

AU - Knight, Alex

PY - 2025

Y1 - 2025

N2 - We established a scalable cohort discovery environment, expanded the range of population-wide Scottish clinical data for researcher feasibility queries, and embedded semi-automated processes to support the transformation and flow of data to the HDR UK Cohort Discovery Tool.

AB - We established a scalable cohort discovery environment, expanded the range of population-wide Scottish clinical data for researcher feasibility queries, and embedded semi-automated processes to support the transformation and flow of data to the HDR UK Cohort Discovery Tool.

U2 - 10.20933/100001464

DO - 10.20933/100001464

M3 - Poster

T2 - Health Data Research UK Conference

Y2 - 15 October 2025 through 16 October 2025

ER -

Reaching the full potential of applying a common data model to Scottish clinical data to support research feasibility queries

Abstract

Conference

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Health Informatics Centre

Cite this