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

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/

Access to Document

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",

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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