Cancer: Staffing

Baroness Merron Excerpts
Thursday 14th March 2024

(9 months, 1 week ago)

Lords Chamber
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Asked by
Baroness Merron Portrait Baroness Merron
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To ask His Majesty’s Government, in the light of warnings by the Parliamentary and Health Service Ombudsman, what assessment they have made of the risk to cancer patients in England presented by the staffing levels, workloads and working conditions of healthcare professionals.

Lord Markham Portrait The Parliamentary Under-Secretary of State, Department of Health and Social Care (Lord Markham) (Con)
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I express my regret about the cases referenced by the ombudsman. The department is taking steps to reduce cancer diagnosis and treatment waiting times across England and to improve survival rates across all cancer types. Through announcing the first ever NHS long-term workforce plan, we are taking meaningful steps to build the NHS workforce for the future. The Government are backing the plan, with over £2.4 billion of funding for additional education and training places.

Baroness Merron Portrait Baroness Merron (Lab)
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My Lords, the Minister will know that numerous complaints relating to patients with cancer that were investigated by the Parliamentary and Health Service Ombudsman included misdiagnosis, treatment delays, the mismanagement of conditions, poor communication and unsuitable end-of-life care. As the NHS is grappling with over 110,000 staff shortages, how is patient safety being compromised by the Government’s long delay in bringing forward the workforce plan? What immediate action will the Government take to deal with the continuing risk to cancer patients posed by a workforce that the ombudsman describes as “understaffed, under pressure and exhausted”?

Lord Markham Portrait Lord Markham (Con)
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As the noble Baroness says, we see increasing the workforce as a core component here. I was speaking to the president of the Royal College of Radiologists about this the other day, and we obviously need to make sure that the workforce can be as effective as possible at what it does. We are doing a lot of new diagnosis, and 80% of all the medical AI technologies are in the radiography space, which is making a huge difference to diagnosis and productivity. It is clearly fundamental that we get the treatment to these people as quickly as possible.