Medicine is a continually evolving science where small changes can have a big impact on the lives of patients. In relation to a cancer diagnosis and treatment, every minute counts. Based on European Commission estimates, the cancer incidence by 2040 will impact just over three million people a 12 months. By significantly reducing treatment and recovery times with the assistance of technology, healthcare organizations will give you the option to supply higher and more compassionate care with the resources they’ve available.

Current cancer care is driven by manual processes from start to complete. Diagnostic tests – including laboratory and biopsies, pathology, and imaging services – are characterised by large volumes of paperwork and data handling. Ensuring each step is meticulously followed without hinderance and accompanied by the relevant information is important for patient conferences or specialist consultations.

By adopting automation, artificial intelligence, and digital staff into the cancer pathway, is technology the fitting solution to learn patients, healthcare teams and healthcare organizations?

This viewpoint will go on to debate:

• The cancer pathway process
• How IA can improve time to diagnosis
• How digital works can increased speed and accuracy
• The long run of oncology therapies
• The advantages of automation in outpatient discharge