Explained: How tech is transforming cancer care journey for patients and hospitals

Explained: How tech is transforming cancer care journey for patients and hospitals

Explained: How tech is transforming cancer care journey for patients and hospitals

New Delhi: The fight against cancer is a never-ending battle, but thanks to the tireless efforts of researchers, developers, technologists in the field of oncology, the world is making significant progress today. From the development of targeted therapies that attack cancer cells with precision to the use of artificial intelligence to analyse vast amounts of data and identify new treatment approaches, the potential for revolutionising cancer treatment is greater than ever.

In this article, we have listed five technical solutions that play an important role in supporting pharma and healthcare companies throughout a patient’s cancer care journey. With a focus on fast pacing drug discovery, improving patient outcomes, optimising care delivery, and advancing treatment options, tech companies are contributing massively to the nation’s fight against cancer.

Role of tech in cancer cure

The IBM Watson for Oncology (WFO) is an artificial intelligence (AI) tool that helps oncologists make evidence-based treatment decisions for their patients. It uses natural language processing to evaluate data in structured and unstructured formats and helps doctors evaluate a patient’s medical information to suggest treatment options. WFO uses natural language processing to analyse a patient’s medical records, lab results, and other data to provide treatment options customised to the needs of the patients.

Then there is ZS, with its deep insights on critical illnesses, ZS focuses on oncology care by partnering with pharmaceutical companies for drug discovery and collaborating with global healthcare providers to develop and commercialise cancer therapeutics. The firm leverages advanced technology, data and analytics to create insights-driven strategies that improve patient treatment and outcomes. With a “patients first” approach, such firms drive real-world progress, ensuring positive patient experiences throughout the treatment journey.

There are many global providers of healthcare technologies, such as Philips healthcare, that offer a range of oncology informatics solutions that integrate patients’ data Intellispace oncology platform, medical imaging and offers clinical decision-support tools for personalised oncology care. Similarly, the Siemens Healthineers, provides advanced diagnostic imaging solutions for oncology, including PET/CT, MRI, and ultrasound systems. Their technologies help healthcare providers detect and monitor cancer more effectively.

The big advantage of technology in the healthcare space is that it offers artificial intelligence-driven tools that aids in accurate diagnosis and treatment planning. Which in turn also helps ease the pressure on doctors and specialists.

While AI plays a major role in medicine, there is machine learning that can be handy too. Tempus, for instance, uses both AI and machine learning to critically analyse clinical and molecular data. The technology used can assist oncology providers in offering precision medicine by providing actionable insights from genomic sequencing, clinical data, and medical records.

It is true that technology is driving innovations in oncology, offering critical tools, resources, and therapies to transform the cancer journey for both patients as well as hospitals. These solutions also help accelerate research, diagnosis, treatment and supporting healthcare providers in delivering more accurate personalised treatments with better outcomes for cancer patients, re-imagining the future of cancer treatment for the world.

 The big advantage of technology in the healthcare space is that it offers artificial intelligence-driven tools that aids in accurate diagnosis and treatment planning. Which in turn also helps ease the pressure on doctors and specialists.   Health Conditions Health News: Latest News from Health Care, Mental Health, Weight Loss, Disease, Nutrition, Healthcare