ChatGPT can Produce Medical Record Notes Ten Times Faster than Doctors

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at Uppsala University Hospital and Uppsala University in collaboration with Danderyd Hospital and the University Hospital of Basel, Switzerland. They conducted a pilot study of just six virtual patient cases, which will now be followed up with an in-depth study of 1,000 authentic patient medical records.

"For years, the debate has centred on how to improve the efficiency of healthcare. Thanks to advances in generative AI and language modelling, there are now opportunities to reduce the administrative burden on healthcare professionals. This will allow doctors to spend more time with their patients," explains Cyrus Brodén, an orthopaedic physician and researcher at Uppsala University Hospital and Uppsala University.

Administrative tasks take up a large share of a doctor’s working hours, reducing the time for patient contact and contributing to a stressful work situation. Researchers at Uppsala University Hospital and Uppsala University, in collaboration with Danderyd Hospital and the University Hospital of Basel, Switzerland, have shown in a new study that the AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality.

The aim of the study was to assess the quality and effectiveness of the ChatGPT tool when producing medical record notes. The researchers used six virtual patient cases that mimicked real cases in both structure and content. Discharge documents for each case were generated by orthopaedic physicians. ChatGPT-4 was then asked to generate the same notes. The quality assessment was carried out by an expert panel of 15 people who were unaware of the source of the documents. As a secondary metric, the time required to create the documents was compared.

"The results show that ChatGPT-4 and human-generated notes are comparable in quality overall, but ChatGPT-4 produced discharge documents ten times faster than the doctors," notes Brodén.

"Our interpretation is that advanced large language models like ChatGPT-4 have the potential to change the way we work with administrative tasks in healthcare. I believe that generative AI will have a major impact on healthcare and that this could be the beginning of a very exciting development," he maintains.

The plan is to launch an in-depth study shortly, with researchers collecting 1,000 medical patient records. Again, the aim is to use ChatGPT to produce similar administrative notes in the patient records.

"This will be an interesting and resource-intensive project involving many partners. We are already working actively to fulfil all data management and confidentiality requirements to get the study under way," concludes Brodén.

Rosenberg GS, Magnéli M, Barle N, Kontakis MG, Müller AM, Wittauer M, Gordon M, Brodén C.
ChatGPT-4 generates orthopedic discharge documents faster than humans maintaining comparable quality: a pilot study of 6 cases.
Acta Orthopaedica, 95, 152-156. 2024. doi: 10.2340/17453674.2024.40182

Most Popular Now

Commission Joins Forces with Venture Cap…

The Commission has launched a Trusted Investors Network bringing together a group of investors ready to co-invest in innovative deep-tech companies in Europe together with the EU. The Union's investment...

Philips and Medtronic Advocacy Partnersh…

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, and Medtronic Neurovascular, a leading innovator in neurovascular therapies, today announced a strategic advocacy partnership. Delivering timely stroke...

Wearable Cameras Allow AI to Detect Medi…

A team of researchers says it has developed the first wearable camera system that, with the help of artificial intelligence (AI), detects potential errors in medication delivery. In a test whose...

New AI Tool Predicts Protein-Protein Int…

Scientists from Cleveland Clinic and Cornell University have designed a publicly-available software and web database to break down barriers to identifying key protein-protein interactions to treat with medication. The computational tool...

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

New Research Shows Promise and Limitatio…

Published in JAMA Network Open, a collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia studied...

G-Cloud 14 Makes it Easier for NHS to Bu…

NHS organisations will be able to save valuable time and resource in the procurement of technologies that can make a significant difference to patient experience, in the latest iteration of...

Start-Ups will Once Again Have a Starrin…

11 - 14 November 2024, Düsseldorf, Germany. The finalists in the 16th Healthcare Innovation World Cup and the 13th MEDICA START-UP COMPETITION have advanced from around 550 candidates based in 62...

Hampshire Emergency Departments Digitise…

Emergency departments in three hospitals across Hampshire Hospitals NHS Foundation Trust have deployed Alcidion's Miya Emergency, digitising paper processes, saving clinical teams time, automating tasks, and providing trust-wide visibility of...

MEDICA HEALTH IT FORUM: Success in Maste…

11 - 14 November 2024, Düsseldorf, Germany. How can innovations help to master the great challenges and demands with which healthcare is confronted across international borders? This central question will be...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...