null John Kildea, M.Sc., PhD
patient portals • patient empowerment • patient-centred software development • health informatics • data donation • artificial intelligence • natural language processing • neutron dosimetry • radiation-induced carcinogenesis • single-cell sequencing
My research has three axes. The first two are in health informatics, focusing on the development of patient-centred data-sharing software (Opal) and exploitation of radiotherapy data (natural language processing, dose accumulation and radiomics). At the RI-MUHC I lead the Opal Health Informatics Group, the research team that designed, developed, clinically implemented and actively supports the Opal patient portal at the MUHC. The third axis is in biophysics and aims to use single-cell DNA sequencing to improve our understanding of the mechanism(s) underlying radiation-induced carcinogenesis.
All three axes are underpinned by strong connections I have established with clinicians, patients, other researchers, industry partners and nuclear regulators. All are well funded and productive. They involve students, software developers and multidisciplinary collaborations.
Opal patient portal
The Quebec SmartCare Consortium
Mathew F, Wang H, Montgomery L, Kildea J. Natural language processing and machine learning to assist radiation oncology incident learning. J Appl Clin Med Phys. 2021 Nov;22(11):172-184. doi: 10.1002/acm2.13437. Epub 2021 Oct 5. PMID: 34610206.
Montgomery L, Lund CM, Landry A, Kildea J. Towards the characterization of neutron carcinogenesis through direct action simulations of clustered DNA damage. Phys Med Biol. 2021 Oct 12;66(20). doi: 10.1088/1361-6560/ac2998. PMID: 34555818.
Kildea J, Battista J, Cabral B, Hendren L, Herrera D, Hijal T, Joseph A. Design and Development of a Person-Centered Patient Portal Using Participatory Stakeholder Co-Design. J Med Internet Res. 2019 Feb 11;21(2):e11371. doi: 10.2196/11371. PMID: 30741643.
Sepulveda E, Patrick H, Freeman CR, Kildea J. Implementation of a DVH Registry to provide constraints and continuous quality monitoring for pediatric CSI treatment planning. J Appl Clin Med Phys. 2021 Jan;22(1):191-202. doi: 10.1002/acm2.13131. Epub 2020 Dec 14. PMID: 33315306.
Naseri H, Kafi K, Skamene S, Tolba M, Faye MD, Ramia P, Khriguian J, Kildea J. Development of a generalizable natural language processing pipeline to extract physician-reported pain from clinical reports: Generated using publicly-available datasets and tested on institutional clinical reports for cancer patients with bone metastases. J Biomed Inform. 2021 Aug;120:103864. doi: 10.1016/j.jbi.2021.103864. Epub 2021 Jul 12. PMID: 34265451.