Introduction to Digital Oncology




Introduction to Digital Oncology

COVID-19 created unique challenges in the care of cancer patients, such as the risk of their cancers going undetected or progressing due to delays, cancellations or postponements of screenings and treatment. Additionally, patients abstained from hospital visits and oncology clinicians cancelled or delayed surgeries and chemo/radiation therapies due to the potential risk of getting COVID-19. The unexpected “side-effect” of the pandemic was the acceleration and massive adoption of digital health technologies in cancer care and management.


It is becoming clear that digital oncology innovations are becoming one of the hottest trends in cancer care – from improving cancer diagnoses to predicting drug responses and personalizing therapies. We are in an era of healthcare whereby digitalization is no longer just about the newest piece of technology, but rather how the technological innovation can shape the design and management of healthcare. Digital oncology innovations can provide both hope and promise to clinicians, patients, and caregivers in terms of improved cancer care and management in the new normal.


So how has COVID-19 impacted the care and management of patients with cancer? How have digital health technologies shaped the field of oncology? How will such technologies benefit cancer care as we embark on the new normal? In this course, you will gain an understanding of how COVID-19 has changed the cancer care landscape and the field of digital oncology. We shall also explore some of the latest and upcoming digital health innovations and trends that target the cancer care space.

How can digital health technologies benefit cancer care? Learn about current and upcoming trends in digital oncology.

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What you will learn
  • Understand the prevalence of cancer before COVID-19
  • Gain an insight into how COVID-19 has impacted cancer care and management
  • Understand how digital health technologies can improve cancer care

Rating: 4.5

Level: Beginner Level

Duration: 1 hour

Instructor: Kevin Yap


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