AI System ‘Dora’ Enhances Patient Care Post-Cataract Surgery – Study Finds

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Oxford NHS trust researchers have developed an innovative AI system to improve post-surgery care for patients undergoing cataract surgery. The artificial intelligence, named Dora, was created by the Oxford University Hospitals NHS Foundation Trust and Imperial College Healthcare NHS Trust.

Dora interacts with patients through telephone calls, asking them questions to assess their recovery progress and identify any symptoms that may require further medical attention. Over 200 patients participated in the study, receiving a follow-up call from Dora three weeks after their cataract surgery. The AI system’s assessments were compared with those of ophthalmologists, with Dora demonstrating a high level of accuracy in determining the need for additional clinical review.

Dr. Kanmin Xue, a consultant ophthalmologist at OUH, highlighted Dora’s effectiveness in autonomously gathering essential information from patients to facilitate medical assessments. Following the successful trial, an updated version of Dora has been implemented at OUH for post-cataract surgery assessments, streamlining the patient care process.

While patients generally embraced the use of Dora, some expressed concerns about the absence of a human element in cases of complications. However, the telemedicine follow-up with Dora was found to be cost-efficient, saving approximately £35 per patient compared to standard care.

The development of Dora was supported by Health Innovation Oxford and Thames Valley, with Ufonia, an Oxford spin-out company responsible for its creation. Dr. Nick de Pennington, CEO of Ufonia, emphasized the AI system’s accuracy in identifying patients requiring clinical intervention, paving the way for its expansion across various eye care pathways.

Overall, the research demonstrates the significant benefits of incorporating artificial clinical intelligence like Dora in healthcare settings, enhancing patient safety, cost-efficiency, and accessibility to medical services. With its success in post-operative assessments, Dora’s application in pre-operative screenings is underway, further optimizing patient care pathways in the NHS and beyond.

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Frequently Asked Questions (FAQs) Related to the Above News

What is Dora and how does it enhance patient care post-cataract surgery?

Dora is an artificial intelligence system developed by Oxford NHS trust researchers to improve post-surgery care for patients undergoing cataract surgery. It interacts with patients through telephone calls to assess their recovery progress and identify any symptoms that may require further medical attention.

How accurate is Dora in determining the need for additional clinical review?

Dora demonstrated a high level of accuracy in determining the need for additional clinical review, as compared to assessments done by ophthalmologists.

Who developed Dora and where is it currently being implemented?

Dora was created by the Oxford University Hospitals NHS Foundation Trust and Imperial College Healthcare NHS Trust. An updated version of Dora has been implemented at OUH for post-cataract surgery assessments.

Are patients receptive to the use of Dora in their post-surgery care?

Generally, patients have embraced the use of Dora. However, some patients expressed concerns about the absence of a human element in cases of complications.

How cost-efficient is the telemedicine follow-up with Dora compared to standard care?

The telemedicine follow-up with Dora was found to be cost-efficient, saving approximately £35 per patient compared to standard care.

What was the role of Ufonia in the development of Dora?

Ufonia, an Oxford spin-out company, was responsible for creating the AI system Dora. Their CEO, Dr. Nick de Pennington, emphasized Dora's accuracy in identifying patients requiring clinical intervention.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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