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Number of items: 30.


Crossfield, SSR, Lai, LYH, Kingsbury, SR et al. (4 more authors) (2019) Variation in methods, results and reporting in electronic health record-based studies evaluating routine care in gout: A systematic review. PLoS ONE. ISSN 1932-6203 (In Press)

Aldridge, M, Johnson, O and Scarlett, J (2019) Group testing: An Information Theory Perspective. Foundations and Trends in Communications and Information Theory. ISSN 1567-2190 (In Press)

Allsop, MJ, Johnson, O, Taylor, S et al. (4 more authors) (2019) Multidisciplinary Software Design for the Routine Monitoring and Assessment of Pain in Palliative Care Services: The Development of PainCheck. JCO Clinical Cancer Informatics. ISSN 2473-4276 (In Press)

Johnson, O (2019) General System Theory and the Use of Process Mining to Improve Care Pathways. Studies in health technology and informatics, 263. pp. 11-22. ISSN 0926-9630

Piotrkowicz, A, Johnson, O and Hall, G (2019) Finding Relevant Free-Text Radiology Reports at Scale with IBM Watson Content Analytics: a Feasibility Study in the UK NHS. Journal of Biomedical Semantics. ISSN 2041-1480 (In Press)

McLachlan, S, Dube, K, Johnson, O et al. (4 more authors) (2019) A Framework for Analysing Learning Health Systems: Are we removing the most impactful barriers? Learning Health Systems.

Johnson, O, Aldridge, M and Scarlett, J (2019) Performance of Group Testing Algorithms With Near-Constant Tests-per-Item. IEEE Transactions on Information Theory, 65 (2). pp. 707-723. ISSN 0018-9448

Kusuma, GP, Hall, M, Gale, C et al. (1 more author) (2018) Process Mining in Cardiology: A Literature Review. International Journal of Bioscience, Biochemistry and Bioinformatics, 8 (4). pp. 226-236. ISSN 2010-3638

McLachlan, S, Potts, HWW, Dube, K et al. (7 more authors) (2018) The Heimdall framework for supporting characterisation of learning health systems. Journal of Innovation in Health Informatics, 25 (2). pp. 77-87. ISSN 2058-4555

Johnson, J, Johnson, O, Heyhoe, J et al. (2 more authors) (2018) Parent Experiences and Preferences when Dysemlia is Identified During the Prenatal and Perinatal Periods: A Qualitative Study into Family Nursing Care for Rare Diseases. Journal of Family Nursing, 24 (2). pp. 271-293. ISSN 1074-8407

McLachlan, S, Dube, K, Buchanan, D et al. (6 more authors) (2018) Learning health systems: the research community awareness challenge. Journal of Innovation in Health Informatics, 25 (1). 038-040. ISSN 2058-4555

Holch, P, Warrington, L, Bamforth, L et al. (9 more authors) (2017) Development of an integrated electronic platform for patient self-report and management of adverse events during cancer treatment. Annals of Oncology, 28 (9). mdx317. pp. 2305-2311. ISSN 0923-7534

Johnson, J, Louch, G, Dunning, A et al. (5 more authors) (2017) Burnout mediates the association between depression and patient safety perceptions: A cross-sectional study in hospital nurses. Journal of Advanced Nursing, 73 (7). pp. 1667-1680. ISSN 1365-2648

Baker, K, Dunwoodie, E, Jones, RG et al. (8 more authors) (2017) Process Mining Routinely Collected Electronic Health Records to Define Real-Life Clinical Pathways during Chemotherapy. International Journal of Medical Informatics, 103. pp. 32-41. ISSN 1386-5056

Nathan, PA, Johnson, O, Clamp, S et al. (1 more author) (2016) Time to rethink the capture and use of family history in primary care. British Journal of General Practice, 66 (653). pp. 627-628. ISSN 0960-1643

Bewick, BM, Rumball, K, Birtwistle, JC et al. (4 more authors) (2014) Developing a web-based intervention to increase motivation to change and encourage uptake of specialist face-to-face treatment by hospital inpatients: Change Drinking. Drug and Alcohol Review, 33 (6). pp. 674-677. ISSN 0959-5236

Aldridge, M, Baldassini, L and Johnson, O (2014) Group Testing Algorithms: Bounds and Simulations. IEEE Transactions on Information Theory, 60 (6). pp. 3671-3687. ISSN 0018-9448

Danso, SO, Atwell, ES and Johnson, O (2013) A comparative study of machine learning methods for verbal autopsy text classification. IJCSI International Journal of Computer Science Issues, 10 (6). ISSN 1694-0784

Danso, S, Atwell, ES, Johnson, O et al. (11 more authors) (2013) A semantically annotated verbal autopsy corpus for automatic analysis of cause of death. ICAME Journal of the International Computer Archive of Modern and Medieval English, 37. 37 - 69.

Ashley, L, Jones, H, Thomas, J et al. (6 more authors) (2011) Integrating cancer survivors’ experiences into UK cancer registries: design and development of the ePOCS system (electronic Patient-reported Outcomes from Cancer Survivors). British Journal of Cancer, 105. S74-S81. ISSN 0007-0920

Godfrey, M and Johnson, O (2009) Digital circles of support: meeting the information needs of older people. Computers in Human Behavior, 25 (3). 633 - 642. ISSN 0747-5632

Lea, A, Pearson, D, Clamp, S et al. (1 more author) (2008) Using the electronic medical record within medical undergraduate education. Education for primary care, 19 (6). 656 - 659. ISSN 1473-9879

Proceedings Paper

Williams, R, Ashcroft, DM, Brown, B et al. (3 more authors) (2019) Process Mining in Primary Care: Avoiding Adverse Events Due to Hazardous Prescribing. In: Ohno-Machado, L and SĂ©roussi, B, (eds.) Studies in Health Technology and Informatics. MEDINFO 2019: 17th World Congress on Medical and Health Informatics, 25-30 Aug 2019, Lyon, France. IOS Press , pp. 447-451. ISBN 978-1-64368-002-6

Kurniati, AP, McInerney, C, Zucker, K et al. (3 more authors) (2019) A multi-level approach for identifying process change in cancer pathways. In: Proceedings of the 17th International Conference on Business Process Management (BPM 2019). 17th International Conference on Business Process Management (BPM 2019), 01-06 Sep 2019, Vienna, Austria. . (In Press)

Kurniati, A, Hall, G, Hogg, D et al. (1 more author) (2018) Process mining to explore variation in chemotherapy pathways for breast cancer patients. In: British Journal of Cancer. NCRI Cancer Conference 2018, 04-06 Nov 2018, Glasgow, Scotland. Springer Nature , p. 16.

Fox, F, Aggarwal, VR, Whelton, H et al. (1 more author) (2018) A Data Quality Framework for Process Mining of Electronic Health Record Data. In: 2018 IEEE 6th International Conference on Healthcare Informatics (ICHI). IEEE ICHI 2018, 04-07 Jun 2018, New York, NY, USA. IEEE , pp. 12-21. ISBN 978-1-5386-5377-7

Kurniati, AP, Hall, G, Hogg, D et al. (1 more author) (2018) Process mining in oncology using the MIMIC-III dataset. In: Journal of Physics : Conference Series. International Conference on Data and Information Science (ICoDIS) 2017, 05-06 Dec 2017, Bandung, Indonesia. IOP Publishing .

Alharbi, A, Bulpitt, A and Johnson, O (2017) Improving Pattern Detection in Healthcare Process Mining using an Interval-based Event Selection Method. In: Lecture Notes in Business Information Processing. BPM: International Conference on Business Process Management, 2017, 10-15 Sep 2017, Barcelona, Spain. Springer Nature , pp. 88-105. ISBN 978-3-319-65014-2

Smith, R, Xu, J, Hima, S et al. (1 more author) (2013) GATEway to the cloud: Case study: A privacy-aware environment for electronic health records research. In: Proceedings - 2013 IEEE 7th International Symposium on Service-Oriented System Engineering, SOSE 2013. IEEE 7th International Symposium on Service-Oriented System Engineering, SOSE , 25-28 March 2013, Redwood City. IEEE , 292 - 297. ISBN 978-1-4673-5659-6

Danso, S, Atwell, E and Johnson, O (2013) Linguistic and statistically derived features for cause of death prediction from verbal autopsy text. In: Gurevych, I, Biemann, C and Zesch, T, (eds.) Language Processing and Knowledge in the Web. 25th International Conference, GSCL, 25-27 Sep 2013, Darmstadt, Germany. Lecture Notes in Artificial Intelligence (8105). Springer , pp. 47-60. ISBN 978-3-642-40721-5

This list was generated on Sun Oct 13 18:18:31 2019 BST.