The limitations and benefits of patient-reported
outcome measures, in defining the merits of arthroplasty surgery,
are discussed. Cite this article:
Cite this article:
The OpenAI chatbot ChatGPT is an artificial intelligence (AI) application that uses state-of-the-art language processing AI. It can perform a vast number of tasks, from writing poetry and explaining complex quantum mechanics, to translating language and writing research articles with a human-like understanding and legitimacy. Since its initial release to the public in November 2022, ChatGPT has garnered considerable attention due to its ability to mimic the patterns of human language, and it has attracted billion-dollar investments from Microsoft and PricewaterhouseCoopers. The scope of ChatGPT and other large language models appears infinite, but there are several important limitations. This editorial provides an introduction to the basic functionality of ChatGPT and other large language models, their current applications and limitations, and the associated implications for clinical practice and research. Cite this article:
The effective capture of outcome measures in
the healthcare setting can be traced back to Florence Nightingale’s
investigation of the in-patient mortality of soldiers wounded in
the Crimean war in the 1850s. Only relatively recently has the formalised collection of outcomes
data into Registries been recognised as valuable in itself. With the advent of surgeon league tables and a move towards value
based health care, individuals are being driven to collect, store
and interpret data. Following the success of the National Joint Registry, the British
Association of Spine Surgeons instituted the British Spine Registry.
Since its launch in 2012, over 650 users representing the whole
surgical team have registered and during this time, more than 27 000
patients have been entered onto the database. There has been significant publicity regarding the collection
of outcome measures after surgery, including
