Skip to main content

Accelerating Personalized Medicine Adoption in Oncology: Challenges and Opportunities

  • Chapter
  • First Online:
Healthcare Policy, Innovation and Digitalization

Abstract

Cancer therapy has been shifting away from “one-size-fits-all” approaches to treatment decisions that are predicated on the molecular profile of the patient’s cancer. Personalized medicine, precision medicine, precision oncology, or “omics-guided” therapy are expressions used for this paradigm shift often interchangeably. The uptake of precision medicine, while advancing in cancer care, has faced several adoption challenges, including education, policy, and practical factors. Facilitating the transformation toward personalized medicine that will improve patient outcomes in the oncology setting requires a coordinated effort among policymakers, cancer agencies, health systems, and industry. To implement precision medicine effectively in cancer practice requires an informatics solution beyond the legacy electronic medical record platforms currently available to clinical teams.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Ashbury FD (2021) Covid-19 and supportive cancer care: key issues and opportunities. Curr Opin Oncol 33(4):295–300

    Article  Google Scholar 

  • Ashbury FD, Thompson K, Williams C, Williams K (2021) Challenges adopting next-generation sequencing in community oncology practice. Curr Opin Oncol 33(5):507–512

    Article  Google Scholar 

  • Bernstam EV, Warner JL, Krauss JC, Ambinder E, Rubinstein WS, Komatsoulis G, Miller RS, Chen JL (2022) Quantitating and assessing interoperability between electronic health records. JAMIA 29(5):753–760

    Google Scholar 

  • Bronfenbrenner U (1977) Experimental toward an ecology of human development. Am Psychol 32:513–531. https://doi.org/10.1037/0003-066X.32.7.513

  • Bustillos H, Indorf A, Alwan L, Thompson J, Jung L (2022) Xerostomia: an immunotherapy-related adverse effect in cancer patients. Supp Care Cancer 30:1681–1687

    Google Scholar 

  • Cannon C (2018) Telehealth, mobile applications, and wearable devices are expanding cancer care beyond walls. Sem Oncol Nursing 34(2):118–125

    Google Scholar 

  • Challinor JM, Alqudimat MR, Teixeira TOA, Oldenmenger WH (2020) Oncology nursing workforce: challenges, solutions, and future strategies. Lancet Oncol 21(12):e564–e574

    Article  Google Scholar 

  • Chan A, Ashbury FD, Fitch MI, Koczwara B, Chan RJ (2020) Cancer survivorship care during COVID-19—perspectives and recommendations from the MASCC Survivorship Study Group. Support Care Cancer 28(8):3485–3488

    Article  Google Scholar 

  • Chua IS, Gaziel-Yablowitz M, Korach AT, Kehl KL, Levitan NA, Arriaga YE, Jackson GP, Bates DW, Hassett (2021) Artificial intelligence in oncology: path to implementation. Cancer Med 10(12):4138–4149

    Google Scholar 

  • Clarke CN (2022) Disparities in creating a diverse surgical oncology physician workforce: just a leaky pipeline? Surg Oncol Clinics 31(1):21–27

    Article  Google Scholar 

  • Coschi CH, Juergens RA (2021) The price of success: immune-related adverse events from immunotherapy in lung cancer. Curr Oncol 28(6):4392–4407

    Article  Google Scholar 

  • Druel V, Gimenez L, Paricaud K, Delord J-P, Grosclaude P, Boussier N, Rouge Bugat M-E (2020) Improving communication between the general practitioner and the oncologist: a key role in coordinating care for patients suffering from cancer. BMC Cancer 20:495. https://doi.org/10.1186/s12885-020-06993-0

  • Elkhader J, Elemento O (2022) Artificial intelligence in oncology: from bench to clinic. Semin Cancer Biol 84:113–128

    Article  Google Scholar 

  • Gray S, Park E, Najita J et al (2016) Oncologists’ and cancer patients’ views on whole-exome sequencing and incidental findings: results from the CanSeq study. Genet Med 18:1011–1019

    Article  Google Scholar 

  • Kaspers GJL (2022) 20 years of expert review of anticancer therapy. Expert Rev Anticancer Ther 22(1):1–2. https://doi.org/10.1080/14737140.2022.2019019

    Article  Google Scholar 

  • Luo X, Chen YZ, Chen J, Zhang Y, Li MF, Xiong CX, Yan (2022) Effectiveness of mobile health-based self-management interventions in breast cancer patients: a meta-analysis. Supp Care Cancer 30:2853–2876

    Google Scholar 

  • Lwin Z, Broom A, Sibbritt D, Francis K, Karapetis CS, Karikios D, Harrup R (2018) The Australian medical oncologist workforce survey: the profile and challenges of medical oncology. Sem in Oncol 45(5–6):284–290

    Article  Google Scholar 

  • Mathew A (2018) Global survey of clinical oncology workforce. JCO Global Oncol 4:1–12

    Google Scholar 

  • Mooney K, Titchener K, Haaland B, Coombs LA, O’Neil B, Nelson R, McPherson JP, Kirchhoff AC, Beck AC, Ward JH (2021) Evaluation of oncology hospital at home: unplanned health care utilization and costs in the Huntsman at Home real-world trial. J Clin Oncol 39(23):2586–2593

    Article  Google Scholar 

  • Nefreteri S, Elmore C, Praijogi B, Polo Rubio JA, Zubizarreta E (2019) The global radiation oncology workforce in 2030: estimating physician training needs and proposing solutions to scale up capacity. Appl Rad Oncol, 9–16

    Google Scholar 

  • Ngusie HS, Kassie SY, Chereka AA, Enyew (2022) Healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase. BMC Heal Serv Res 22. https://doi.org/10.1186/s12913-022-07688-x

  • Nipp RD, Shulman E, Smith M, Brown PMC, Johnson PC, Gaufberg E, Vyas C, Qian CL, Neckermann I, Hornstein SB, Reynolds MJ, Green J, Temel JS, Areej E-J (2022) Supportive oncology care at home interventions: protocols for clinical trials to shift the paradigm of care for patients with cancer. BMC Cancer 22:383. https://doi.org/10.1186/s12885-022-09461-z

  • Noteboom EA, Perfors LAA, May AM, Stegmann ME, Duijts SFA, Visserman EA, Engelen V, Richel C, van der Wall E, de Wit N, Helsper CW (2021) GP involvement after a cancer diagnosis; patients’ call to improve decision support. BJGP Open 5(1). https://doi.org/10.3399/bjgpopen20X101124

  • Ohno-Machado L, Kim J, Gabriel RA, Kuo GM, Hogarth MA (2018) Genomics and electronic health record systems. Hum Mol Genet 27:R48–R55

    Article  Google Scholar 

  • Parikh RB, Teeple S, Navathe AS (2019) Addressing bias in artificial intelligence in health care. JAMA 322:2377–2378

    Article  Google Scholar 

  • Patt DA, Wilfong L, Toth S, Broussard S, Kanipe K, Hammonds J (2021) Telemedicine in community cancer care: how technology helps patients with cancer navigate a pandemic. JCO Oncol Pract 17(1):e11–e15

    Google Scholar 

  • Penson A, Camacho N, Zheng Y et al (2020) Development of genome-derived tumor type prediction to inform clinical cancer care. JAMA Oncol 6:84–91

    Article  Google Scholar 

  • Rapoport B, Cooksley T, Johnson DB, Anderson R (2021) Supportive care for new cancer therapies. Curr Opin Oncol 33(4):287–294

    Article  Google Scholar 

  • Raza A (2019) The first cell: and the human costs of pursuing cancer to the last. Basic Books, New York

    Google Scholar 

  • Roberts MC, Spees LP, Freedman AN, Klein WMP, Prabhu Das I, Butler EN, de Moor JS (2021) Oncologist-reported reasons for not ordering multimarker tumor panels: results from a nationally representative survey. JCO Prec Oncol 5:701–709

    Article  Google Scholar 

  • Shah C, Royce TJ (2021) Chicken little or goose is cooked.? the state of the US radiation oncology workforce: workforce concerns in US radiation oncology. Int J Rad Oncol Biol Phys 110(2):268–271

    Google Scholar 

  • Shih Y-CT, Kim B, Halpern MT (2021) State of physician and pharmacist oncology workforce in the United States in 2019. JCO Oncol Pract 17(1):e1–e10

    Article  Google Scholar 

  • Sing S, Farrelly A, Chan C, Nicholls B, Nazeri-Rad N, Bellicoso D (2022) Prevalence and workplace drivers of burnout in cancer care physicians in Ontario, Canada. JCO Oncol Pract 18(1):e60–e71

    Article  Google Scholar 

  • Stefan DC (2015) Cancer care in Africa: an overview. JCO Global Oncol 1:30–3a

    Article  Google Scholar 

  • Sturgill EG, Misch A, Lachs R, Jones CC, Schlauch D, Jones SF, Shastry M, Yardley DA, Burris HA III, Spigel DR, Hamilton EP, McKenzie AJ (2021) Next-generation sequencing of patients with breast cancer in community oncology clinics. JCO Prec Oncol 5:1297–1311

    Article  Google Scholar 

  • Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3):209–249

    Article  Google Scholar 

  • Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A (2015) Global cancer statistics, 2012. CA Cancer J Clin 65:87–108

    Article  Google Scholar 

  • Wu CHD, Malik N, Kim M, Stuckless T, Halperin R, Archambault J, Thompson R, Ringash J, Brundage M, Loewen SK (2022) Employment outcomes for Canadian radiation oncology graduates: 2020 assessment and longitudinal trends. Adv Rad Oncol 7(3). https://doi.org/10.1016/j.adro.2022.100915

  • Yates M, Samuel V (2019) Burnout in oncologists and associated factors: a systematic literature review and meta-analysis. Eur J Cancer Care. https://doi.org/10.1111/ecc.13094

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fredrick D. Ashbury .

Editor information

Editors and Affiliations

Ethics declarations

Conflict of Interest Disclosure

I, Fredrick Ashbury, disclose that my affiliation with VieCure, a company I have co-founded and invested in that operates within the oncology space. Aside from this, I have no personal, financial, or professional conflicts of interest. I certify that all my current and foreseeable conflicts of interest, or their absence, have been disclosed here.

I, Keith Thompson, disclose that my affiliation with VieCure, is a company I have invested in that operates with the oncology space. Aside from this, I have no personal, financial, or professional conflicts of interest. I certify that all my current and foreseeable conflicts of interest, or their absence, have been disclosed here.

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ashbury, F.D., Thompson, K. (2023). Accelerating Personalized Medicine Adoption in Oncology: Challenges and Opportunities. In: Çetin, E., Özen, H. (eds) Healthcare Policy, Innovation and Digitalization. Accounting, Finance, Sustainability, Governance & Fraud: Theory and Application. Springer, Singapore. https://doi.org/10.1007/978-981-99-5964-8_4

Download citation

Publish with us

Policies and ethics