In this episode Sean and Nick lead our discussion of Big Data as it relates to Radiation Oncology medical physics. The discussion ranges from reasons to buy in, how we are starting to do it, and how we can proceed as a field in light of big data analytics.
References:
Matuszak, M. M., Fuller, C. D., Yock, T. I., Hess, C. B., McNutt, T., Jolly, S., Gabriel, P., Mayo, C. S., Thor, M., Caissie, A., Rao, A., Owen, D., Smith, W., Palta, J., Kapoor, R., Hayman, J., Waddle, M., Rosenstein, B., Miller, R., … Feng, M. (2018). Performance/outcomes data and physician process challenges for practical big data efforts in radiation oncology. Medical Physics, 45(10), e811–e819. https://doi.org/10.1002/mp.13136
Mackie, T. R., Jackson, E. F., & Giger, M. (2018). Opportunities and challenges to utilization of quantitative imaging: Report of the AAPM practical big data workshop. Medical Physics, 45(10), e820–e828. https://doi.org/10.1002/mp.13135
Mayo, C., Phillips, M., McNutt, T., Palta, J., Dekker, A., Miller, R., Xiao, Y., Moran, J., Matuszak, M., Gabriel, P., Ayan, A., Prisciandaro, J., Thor, M., Dixit, N., Popple, R., Killoran, J., Kaleba, E., Kantor, M., Ruan, D., … Lawrence, T. (2018). Treatment data and technical process challenges for practical big data efforts in radiation oncology. Medical Physics, 45(10), e793–e810. https://doi.org/10.1002/mp.13114
McNutt, T. R., Bowers, M., Cheng, Z., Han, P., Hui, X., Moore, J., … Quon, H. (2018). Practical data collection and extraction for big data applications in radiotherapy. Medical Physics, 45(10), e863–e869. https://doi.org/10.1002/mp.12817
El Naqa, I., Ruan, D., Valdes, G., Dekker, A., McNutt, T., Ge, Y., … Ten Haken, R. (2018). Machine learning and modeling: Data, validation, communication challenges. Medical Physics, 45(10), e834–e840. https://doi.org/10.1002/mp.12811
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health Information Science and Systems, 2(1). https://doi.org/10.1186/2047-2501-2-3
Spector-Bagdady, K., & Jagsi, R. (2018). Big data, ethics, and regulations: Implications for consent in the learning health system. Medical Physics, 45(10), e845–e847. https://doi.org/10.1002/mp.12707
Traverso, A., van Soest, J., Wee, L., & Dekker, A. (2018). The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques. Medical Physics, 45(10), e854–e862. https://doi.org/10.1002/mp.12879
Vikram, B. (2018). Perspectives on potential research benefits from big data efforts in Radiation Oncology. Medical Physics, 45(10), e848–e849. https://doi.org/10.1002/mp.13109
Zou, W., Geng, H., Teo, B. K., Finlay, J., & Xiao, Y. (2018). NCTN clinical trial standardization for radiotherapy through IROC and CIRO. Medical Physics, 45(10), e850–e853. https://doi.org/10.1002/mp.12873
Hormesis Podcast: The Lost Episode
Micro Dose δ - ABR OLA
Hormesis Podcast #6 - IT in Medicine; Turn it off and on again...
Micro Dose ɣ - ACR Site Reviews
Micro Dose β - ABR Part 3
Hormesis Podcast #5 - True Grit - A Recounting of the Radium Girls
Micro Dose α - AAPM Annual Meeting 2019
Hormesis Podcast #4 - Radiomics: How to (maybe) classify your future
Hormesis Podcast #3 - The Definition of Insanity...and TG-218
Hormesis Podcast #2 - Medical Physics 3.0
Hormesis Podcast #1 - End of the medical physics residency crunch?
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