Dundee Edinburgh Cancer Informatics Program Harnessing Excellent Research (DECIPHER) Lung cancer clinical analytics & big data

Rachel Knight, KM Swarski, Nicholas Conway, Deborah Wake, L Nicol, Catherine Kelly

    Research output: Contribution to conferencePoster

    Abstract

    Background: DECIPHER is a Big Data informatics platform linking phenotype genotype datasets from consented patient cohorts from Lothian and Tayside across a range of cancer types including Lung.It provides a research safe haven (RSH) analytics platform and associated clinical analytical functions developed around the needs of stakeholders.Methods: A multidisciplinary group of project stakeholders were consulted. These included clinicians, cancer audit staff and researchers from NHS Tayside & Lothian.Identified Project Goal included development of:• A Research Analytics Platform with a de-identified module• A real time Clinical Analytics Platform including:Configurable pathways (Figure 1) with integrated metrics Analytics dashboards to give clinicians and administrators realtime insight of service overview with downloadable reporttemplates Automated collection and real time view of Quality Performance Indicators Results: The RSH beta system was completed in September 2013 and contains 3 main datasets. The Tayside National Audit data from the eCase system has provided a selected view of Lung Cancer Care for direct use within the Clinical Analytics Platform. The beta clinical application is under construction and contains functioning pathways(Figure 1) with clinical metrics including the ability to automatically calculate over 80% of the Scottish Quality Performance Indicators as well as specific clinician-defined clinical metrics (including survival data and outcome metrics).Conclusions: The RSH and clinical applications have the potential to unlock the utility of data assets held within existing clinical datasets whilst providing clinicians and administrators with tools to develop and deliver better services for less. They also has the potential to increase understanding of cancer genomics through linkage to detailed phenotypic data. There is capacity to collate data from various geographical sources, which could be developed into a national research, audit and clinical management tool. Planned development work includes patient access to clinical information.
    Original languageEnglish
    Publication statusPublished - 2014
    Event12th Annual British Thoracic Oncology Group Conference - , United Kingdom
    Duration: 29 Jan 201431 Jan 2014

    Conference

    Conference12th Annual British Thoracic Oncology Group Conference
    CountryUnited Kingdom
    Period29/01/1431/01/14

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    Knight, R., Swarski, KM., Conway, N., Wake, D., Nicol, L., & Kelly, C. (2014). Dundee Edinburgh Cancer Informatics Program Harnessing Excellent Research (DECIPHER) Lung cancer clinical analytics & big data. Poster session presented at 12th Annual British Thoracic Oncology Group Conference, United Kingdom.