SPECIAL CARE

KU hospital acquires hi-tech cancer machine

It will drastically reduce the time taken to diagnose and treat patients.

In Summary

Dagane termed the introduction of the machine as a significant milestone for the hospital which handles 40 to 50 patients at the radiology department every week, a number that continues to rise.

KU hospital CEO Ahmed Dagane receives the equipment from AstraZeneca officials at the facility.
KU hospital CEO Ahmed Dagane receives the equipment from AstraZeneca officials at the facility.
Image: JOHN KAMAU

Kenyatta University Teaching Research and Referral Hospital has acquired an ultrasound machine for two-dimensional imaging.

The Sh7 million equipment donated by AstraZeneca was received by hospital chief executive Ahmed Dagane.

He said it will drastically reduce the time taken to diagnose and treat cancer patients.

Dagane said the hospital handles 40 to 50 patients at the radiology department every week, a number that continues to rise.

He said the additional ultrasound equipment will take care of 20 patients daily, which could have taken a week or two previously.

The CEO said the facility has a budget to secure more specialised medical equipment as it seeks to become a sub-specialty hospital for local and regional patients.

Dagane said no patient will require to travel abroad for medical attention, saying KUTRRH will be fully equipped to handle all manner of special care for patients.

“We do have a budget that the government provides and we will continue to buy more equipment and increase the number of machines we have,” he said.

"The support from our partners AstraZeneca with this machine will help us to serve more patients per day without having to book them for long periods. Ultimately, this will aid in early diagnosis of cancer cases and improve the turnaround time of treatment." 

Dr John Omito, a consultant urologist at the facility said the new machine is different from others because it gives two-dimensional images.

With prostate cancer increasingly becoming a high burden disease in the country, he said the new machine will enable adequate and efficient diagnosis for patients.

Omito said the advanced equipment will cut waiting time for cancer patients and enable efficient delivery of services.

“This machine will enable accurate and efficient diagnosis for patients. It will also cut waiting time for patients who are forced to queue to receive certain types of diagnosis,” he added.

WATCH: The latest videos from the Star