Digital Health Transformation in Oncology

1. Digital Health Transformation in
Oncology
Harshad Mahesh Athare
Under the guidance of Mr. David Kereselidze

2. Abstract
• Digital pathology, digital radiography, next-
generation sequencing, and patient-reported
outcomes make oncology recognized for
innovation in research and therapy. Remote
patient monitoring, decentralized care and
research models, "hospital at home," and
machine learning strategies haven't been widely
used to enhance cancer care.

3. Introduction
• Every Cancer patients could readily receive timely
screening and the appropriate treatment at the
appropriate time. Patients' health state would be
continuously tracked to protect their safety and improve
their quality of life. Care partners would be invited into
the lifetime journey that a cancer diagnosis or prognosis
can bring. Digital health innovation in cancer care is still
in its infancy. The COVID-19 epidemic has highlighted
possible weaknesses in the ecosystem of digital health.
This article provides an overview of the current state and
strategies to enhance their clinical utility and
integration. It is based on the proceedings of a workshop
held in 2020 by the National Cancer Policy Forum.

4. Methods
• Eligibility was assessed using primary research and
peer-reviewed literature from the databases EBSCO,
PUBMED, CAMBRIDGE CORE, and SCOPUS. Titles
and abstracts of all papers obtained through a
systematic search were reviewed to capture relevant
publications. The papers' goals were divided into
themes overlooking: a few looked at solutions
towards providing better health care and their
characteristics; others looked at the influence of the
digital transformation on the health system or the
general public.

5. Result and discussion
• The easy sharing of massive amounts of data and
information is necessary for effective cancer therapy,
management, and research. The way we monitor the
progression of the disease makes it difficult to
standardize oncology data. Interoperability issues that
characterize our existing healthcare system have an
outsized detrimental effect on cancer patients. Oncology
clinical pathways have the potential to enhance
outcomes and save costs. Digital solutions that allow
both privacy and information exchange will help put
cancer patients at the center of their care. Decentralizing
and shifting the emphasis away from facility-based,
provider-centric model of health care are necessary for a
whole-person strategy.

6. • Participants highlighted a lack of confidence and
awareness in responding to questions about
things other than illness and treatment.
• Most participants voiced concerns about apps
undercutting the need of emotional support and
highlighted a lack of confidence and awareness
in responding to questions about things other
than illness and treatment.

7. Conclusion
• We must consider equity and inclusion as givens
when developing and deploying digital solutions
for geriatric oncology. We must address the lack
of data infrastructure and the fact that digital
innovation in cancer treatment and research do
not cure the disease. Additional research is
necessary to investigate appropriate solutions,
context and patient populations.

8. Thank
You!