Andrea, Sean, Nick, and Alison presented an unofficial episode of the Hormesis Podcast at AAPM/COMP 2020. You can access it at <a href="https://www.aapm.org/students/.">https://www.aapm.org/students/.</a> Please share with any lost undergraduates that you know!

<description>&lt;p class="" style="white-space:pre-wrap;"&gt;Andrea, Sean, Nick, and Alison presented an unofficial episode of the Hormesis Podcast at AAPM/COMP 2020. You can access it at &lt;a href="https://www.aapm.org/students/."&gt;https://www.aapm.org/students/.&lt;/a&gt; Please share with any lost undergraduates that you know!&lt;/p&gt;</description>

An unofficial episode of the Hormesis Podcast

Andrea, Sean, Nick, and Alison presented an unofficial episode of the Hormesis Podcast at AAPM/COMP 2020 - here's how you access it!

Hormesis Podcast: The Lost Episode

Andrea and Nick discuss the new ABR MOC format - the ABR OLAABR OLA Website: <a href="https://ola.theabr.org/" target="_blank">https://ola.theabr.org/</a>

<description>&lt;p class=""&gt;Andrea and Nick discuss the new ABR MOC format - the ABR OLA&lt;/p&gt;&lt;p class=""&gt;ABR OLA Website: &lt;a href="https://ola.theabr.org/" target="_blank"&gt;https://ola.theabr.org/&lt;/a&gt;&lt;/p&gt;</description>

ABR OLA

Andrea and Nick discuss the new ABR MOC format - the ABR OLA

Micro Dose δ - ABR OLA

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. <a href="https://doi.org/10.1002/mp.13136" target="_blank">https://doi.org/10.1002/mp.13136</a>Mackie, T. R., Jackson, E. F., &amp; 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. <a href="https://doi.org/10.1002/mp.13135">https://doi.org/10.1002/mp.13135</a>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. <a href="https://doi.org/10.1002/mp.13114">https://doi.org/10.1002/mp.13114</a>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. <a href="https://doi.org/10.1002/mp.12817">https://doi.org/10.1002/mp.12817</a>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. <a href="https://doi.org/10.1002/mp.12811">https://doi.org/10.1002/mp.12811</a>Raghupathi, W., &amp; Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health Information Science and Systems, 2(1). <a href="https://doi.org/10.1186/2047-2501-2-3">https://doi.org/10.1186/2047-2501-2-3</a>Spector-Bagdady, K., &amp; Jagsi, R. (2018). Big data, ethics, and regulations: Implications for consent in the learning health system. Medical Physics, 45(10), e845–e847. <a href="https://doi.org/10.1002/mp.12707">https://doi.org/10.1002/mp.12707</a>Traverso, A., van Soest, J., Wee, L., &amp; 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. <a href="https://doi.org/10.1002/mp.12879">https://doi.org/10.1002/mp.12879</a>Vikram, B. (2018). Perspectives on potential research benefits from big data efforts in Radiation Oncology. Medical Physics, 45(10), e848–e849. <a href="https://doi.org/10.1002/mp.13109">https://doi.org/10.1002/mp.13109</a>Zou, W., Geng, H., Teo, B. K., Finlay, J., &amp; Xiao, Y. (2018). NCTN clinical trial standardization for radiotherapy through IROC and CIRO. Medical Physics, 45(10), e850–e853. <a href="https://doi.org/10.1002/mp.12873">https://doi.org/10.1002/mp.12873</a>

<description>&lt;p class=""&gt;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.&lt;/p&gt;&lt;p class=""&gt;&lt;/p&gt;&lt;p class=""&gt;References:&lt;/p&gt;&lt;p class=""&gt;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. &lt;a href="https://doi.org/10.1002/mp.13136" target="_blank"&gt;https://doi.org/10.1002/mp.13136&lt;/a&gt;&lt;/p&gt;&lt;p class=""&gt;Mackie, T. R., Jackson, E. F., &amp;amp; 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. &lt;a href="https://doi.org/10.1002/mp.13135"&gt;https://doi.org/10.1002/mp.13135&lt;/a&gt;&lt;/p&gt;&lt;p class=""&gt;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. &lt;a href="https://doi.org/10.1002/mp.13114"&gt;https://doi.org/10.1002/mp.13114&lt;/a&gt;&lt;/p&gt;&lt;p class=""&gt;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. &lt;a href="https://doi.org/10.1002/mp.12817"&gt;https://doi.org/10.1002/mp.12817&lt;/a&gt;&lt;/p&gt;&lt;p class=""&gt;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. &lt;a href="https://doi.org/10.1002/mp.12811"&gt;https://doi.org/10.1002/mp.12811&lt;/a&gt;&lt;/p&gt;&lt;p class=""&gt;Raghupathi, W., &amp;amp; Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health Information Science and Systems, 2(1). &lt;a href="https://doi.org/10.1186/2047-2501-2-3"&gt;https://doi.org/10.1186/2047-2501-2-3&lt;/a&gt;&lt;/p&gt;&lt;p class=""&gt;Spector-Bagdady, K., &amp;amp; Jagsi, R. (2018). Big data, ethics, and regulations: Implications for consent in the learning health system. Medical Physics, 45(10), e845–e847. &lt;a href="https://doi.org/10.1002/mp.12707"&gt;https://doi.org/10.1002/mp.12707&lt;/a&gt;&lt;/p&gt;&lt;p class=""&gt;Traverso, A., van Soest, J., Wee, L., &amp;amp; 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. &lt;a href="https://doi.org/10.1002/mp.12879"&gt;https://doi.org/10.1002/mp.12879&lt;/a&gt;&lt;/p&gt;&lt;p class=""&gt;Vikram, B. (2018). Perspectives on potential research benefits from big data efforts in Radiation Oncology. Medical Physics, 45(10), e848–e849. &lt;a href="https://doi.org/10.1002/mp.13109"&gt;https://doi.org/10.1002/mp.13109&lt;/a&gt;&lt;/p&gt;&lt;p class=""&gt;Zou, W., Geng, H., Teo, B. K., Finlay, J., &amp;amp; Xiao, Y. (2018). NCTN clinical trial standardization for radiotherapy through IROC and CIRO. Medical Physics, 45(10), e850–e853. &lt;a href="https://doi.org/10.1002/mp.12873"&gt;https://doi.org/10.1002/mp.12873&lt;/a&gt;&lt;/p&gt;</description>

Headbutt your way into medicine...

A discussion of Big Data as it relates to Radiation Oncology medical physics

Hormesis Podcast #7 - Big Data: Headbutt your way into medicine...

In this episode, Sean and Nick discuss IT in medicine, and are joined by Andrea and Alison for their experiences.References:Siochi, R. A., Balter, P., Bloch, C. D., Bushe, H. S., Mayo, C. S., Curran, B. H., ... &amp; Stern, R. L. (2009). Information technology resource management in radiation oncology. Journal of applied clinical medical physics, 10(4), 16-35. <a href="https://doi.org/10.1120/jacmp.v10i4.3116" target="">https://doi.org/10.1120/jacmp.v10i4.3116</a>NEMA DICOM Standard: <a href="http://dicom.nema.org/medical/dicom/current/output/html/part01.html" target="">http://dicom.nema.org/medical/dicom/current/output/html/part01.html</a>Crash Course Computer Science: https://www.youtube.com/playlist?list=PLME-KWdxI8dcaHSzzRsNuOLXtM2Ep_C7a

<description>&lt;p class=""&gt;In this episode, Sean and Nick discuss IT in medicine, and are joined by Andrea and Alison for their experiences.&lt;/p&gt;&lt;p class=""&gt;References:&lt;/p&gt;&lt;p class=""&gt;Siochi, R. A., Balter, P., Bloch, C. D., Bushe, H. S., Mayo, C. S., Curran, B. H., ... &amp;amp; Stern, R. L. (2009). Information technology resource management in radiation oncology. &lt;em&gt;Journal of applied clinical medical physics&lt;/em&gt;, &lt;em&gt;10&lt;/em&gt;(4), 16-35. &lt;a href="https://doi.org/10.1120/jacmp.v10i4.3116" target=""&gt;https://doi.org/10.1120/jacmp.v10i4.3116&lt;/a&gt;&lt;/p&gt;&lt;p class=""&gt;NEMA DICOM Standard: &lt;a href="http://dicom.nema.org/medical/dicom/current/output/html/part01.html" target=""&gt;http://dicom.nema.org/medical/dicom/current/output/html/part01.html&lt;/a&gt;&lt;/p&gt;&lt;p class=""&gt;&lt;/p&gt;&lt;p class=""&gt;Crash Course Computer Science: https://www.youtube.com/playlist?list=PLME-KWdxI8dcaHSzzRsNuOLXtM2Ep_C7a&lt;/p&gt;</description>

Turn it off and on again...

In this episode we discuss aspects of Information Technology and how it applies to our areas of experience in medical physics.

Hormesis Podcast #6 - IT in Medicine; Turn it off and on again...

Andrea and Sean discuss their experiences with ACR Site Reviews, the benefits of accreditation, and the role peer review plays in radiation oncology physics. To learn more about ACR Accreditation, please visit https://www.acr.org/Clinical-Resources/Accreditation. For Radiation Oncology accreditation specifics, visit https://www.acraccreditation.org/Modalities/Radiation-Oncology-Practice. To be considered for as an ACR Site Surveyor, you can email rad-onc-accred@acr.org.&nbsp; For information on APEx Accreditation, please visit https://www.astro.org/Daily-Practice/Accreditation. To learn the requirements to become an APEx surveyor, visit https://www.astro.org/Daily-Practice/Accreditation/APEx-Surveyor.&nbsp; Please note that as of 11/26/2019, both accrediting bodies are not accepting new site surveyors. However, there may be further need in the future.

<description>&lt;p class=""&gt;Andrea and Sean discuss their experiences with ACR Site Reviews, the benefits of accreditation, and the role peer review plays in radiation oncology physics.&lt;br&gt;&lt;br&gt;To learn more about ACR Accreditation, please visit https://www.acr.org/Clinical-Resources/Accreditation. For Radiation Oncology accreditation specifics, visit https://www.acraccreditation.org/Modalities/Radiation-Oncology-Practice. To be considered for as an ACR Site Surveyor, you can email rad-onc-accred@acr.org.&amp;nbsp;&lt;br&gt;&lt;br&gt;For information on APEx Accreditation, please visit https://www.astro.org/Daily-Practice/Accreditation. To learn the requirements to become an APEx surveyor, visit https://www.astro.org/Daily-Practice/Accreditation/APEx-Surveyor.&amp;nbsp;&lt;br&gt;&lt;br&gt;Please note that as of 11/26/2019, both accrediting bodies are not accepting new site surveyors. However, there may be further need in the future.&lt;/p&gt;</description>

ACR Site Reviews

Andrea and Sean discuss their experiences with ACR Site Reviews, the benefits of accreditation, and the role peer review plays in radiation oncology physics.

Micro Dose ɣ - ACR Site Reviews

Discussions about medical physics with 4 medical physicists across a range of subjects.

Hormesis Podcast

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