Search Results - "Lawley, Michael"

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  1. 1

    Towards achieving semantic interoperability of clinical study data with FHIR by Leroux, Hugo, Metke-Jimenez, Alejandro, Lawley, Michael J

    Published in Journal of biomedical semantics (19-09-2017)
    “…Observational clinical studies play a pivotal role in advancing medical knowledge and patient healthcare. To lessen the prohibitive costs of conducting these…”
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  2. 2

    Ontoserver: a syndicated terminology server by Metke-Jimenez, Alejandro, Steel, Jim, Hansen, David, Lawley, Michael

    Published in Journal of biomedical semantics (17-09-2018)
    “…Even though several high-quality clinical terminologies, such as SNOMED CT and LOINC, are readily available, uptake in clinical systems has been slow and many…”
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    Symbolic rule-based classification of lung cancer stages from free-text pathology reports by Nguyen, Anthony N, Lawley, Michael J, Hansen, David P, Bowman, Rayleen V, Clarke, Belinda E, Duhig, Edwina E, Colquist, Shoni

    “…To classify automatically lung tumor-node-metastases (TNM) cancer stages from free-text pathology reports using symbolic rule-based classification. By…”
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  5. 5

    Pathling: analytics on FHIR by Grimes, John, Szul, Piotr, Metke-Jimenez, Alejandro, Lawley, Michael, Loi, Kylynn

    Published in Journal of biomedical semantics (08-09-2022)
    “…Health data analytics is an area that is facing rapid change due to the acceleration of digitization of the health sector, and the changing landscape of health…”
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  6. 6

    Computer-Assisted Diagnostic Coding: Effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings by Nguyen, Anthony N, Truran, Donna, Kemp, Madonna, Koopman, Bevan, Conlan, David, O'Dwyer, John, Zhang, Ming, Karimi, Sarvnaz, Hassanzadeh, Hamed, Lawley, Michael J, Green, Damian

    “…Computer-assisted (diagnostic) coding (CAC) aims to improve the operational productivity and accuracy of clinical coders. The level of accuracy, especially for…”
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  7. 7

    Indigenous data governance approaches applied in research using routinely collected health data: a scoping review by Engstrom, Teyl, Lobo, Elton H., Watego, Kristie, Nelson, Carmel, Wang, Jinxiang, Wong, Howard, Kim, Sungkyung Linda, Oh, Soo In, Lawley, Michael, Gorse, Alain-Dominique, Ward, James, Sullivan, Clair

    Published in NPJ digital medicine (15-03-2024)
    “…Globally, there is a growing acknowledgment of Indigenous Peoples’ rights to control data related to their communities. This is seen in the development of…”
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  8. 8

    Developing a national emergency department data reference set based on SNOMED CT by Hansen, David P, Kemp, Madonna L, Mills, Sandra R, Mercer, Megan A, Frosdick, Paul A, Lawley, Michael J

    Published in Medical journal of Australia (21-02-2011)
    “…Emergency departments around Australia use a range of software to capture data on patients’ reason for encounter, presenting problem and diagnosis. The data…”
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  9. 9

    Using Australian medicines terminology (AMT) and SNOMED CT-AU to better support clinical research by McBride, Simon J, Lawley, Michael J, Leroux, Hugo, Gibson, Simon

    “…A large scale, long term clinical study faced significant quality issues with its medications use data which had been collected from participants using paper…”
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  10. 10

    Mapping the Queensland Health iPharmacy Medication File to the Australian Medicines Terminology Using Snapper by Michel, Jude, Lawley, Michael J, Chu, Amy, Barned, John

    “…An exploratory exercise in mapping approximately 8000 medication terms from the Queensland Health iPharmacy Medication File to the Australian Medicines…”
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    Identifying symptom groups from Emergency Department presenting complaint free text using SNOMED CT by Wagholikar, Amol S, Lawley, Michael J, Hansen, David P, Chu, Kevin

    “…Patients presenting to Emergency Departments may be categorised into different symptom groups for the purpose of research and quality improvement. The grouping…”
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  12. 12

    Information retrieval as semantic inference: a Graph Inference model applied to medical search by Koopman, Bevan, Zuccon, Guido, Bruza, Peter, Sitbon, Laurianne, Lawley, Michael

    Published in Information retrieval (Boston) (01-04-2016)
    “…This paper presents a Graph Inference retrieval model that integrates structured knowledge resources, statistical information retrieval methods and inference…”
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  13. 13

    FHIR OWL: Transforming OWL ontologies into FHIR terminology resources by Metke-Jimenez, Alejandro, Lawley, Michael, Hansen, David

    “…The FHIR specification provides a mechanism to access clinical terminologies using a standard API, and many existing terminologies, such as SNOMED CT, are well…”
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    An Approach for Generating Realistic Australian Synthetic Healthcare Data by Diouf, Ibrahima, Grimes, John, O'Brien, Mitchell J, Hassanzadeh, Hamed, Truran, Donna, Ngo, Hoa, Raniga, Parnesh, Lawley, Michael, Bauer, Denis C, Hansen, David, Khanna, Sankalp, Reguant, Roc

    “…Healthcare data is a scarce resource and access is often cumbersome. While medical software development would benefit from real datasets, the privacy of the…”
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  17. 17

    SnoMAP: Pioneering the Path for Clinical Coding to Improve Patient Care by Lawley, Michael, Truran, Donna, Hansen, David, Good, Norm, Staib, Andrew, Sullivan, Clair

    “…The increasing demand for healthcare and the static resources available necessitate data driven improvements in healthcare at large scale. The SnoMAP tool was…”
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    A Decision Support System for Pathology Test Result Reviews in an Emergency Department to Support Patient Safety and Increase Efficiency by Nguyen, Anthony, Hassanzadeh, Hamed, Zhang, Yushi, O'Dwyer, John, Conlan, David, Lawley, Michael, Steel, Jim, Loi, Kylynn, Rizzo, Peter

    “…The review of pathology test results for missed diagnoses in Emergency Departments is time-consuming, laborious, and can be inaccurate. An automated solution,…”
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    Classification of pathology reports for cancer registry notifications by Nguyen, Anthony, Moore, Julie, Zuccon, Guido, Lawley, Michael, Colquist, Shoni

    “…To develop a system for the automatic classification of pathology reports for Cancer Registry notifications. A two pass approach is proposed to classify…”
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  20. 20

    Towards semantic search and inference in electronic medical records: An approach using concept--based information retrieval by Koopman, Bevan, Bruza, Peter, Sitbon, Laurianne, Lawley, Michael

    Published in Australasian medical journal (01-01-2012)
    “…This paper presents a novel approach to searching electronic medical records that is based on concept matching rather than keyword matching. The concept-based…”
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