Unfortunately, this can be a time-consuming process which requires the attention of a subject specialist, and relies on various measures of inter-rater reliability to ensure that the results are valid and reproducible to serve as a basis for further study. We describe a system we have ...
Even state-of-the-art proprietary LLMs perpetuate historic biases41, cite inappropriate medical articles42 and fail to perform information-driven administrative tasks like medical coding43. Other attacks against LLMs have been developed and analyzed in recent years. During training or fine-tuning, ...
it is unlikely that any contemporary LLM is completely free of medical misinformation. Even state-of-the-art proprietary LLMs perpetuate historic biases41, cite inappropriate medical articles42and fail to perform information-driven administrative tasks like medical coding43. ...
The GALEN project aims to bridge the gap between different terminology systems through a terminology server, which contains a conceptual model and mapping facilities to natural language expressions and coding schemas [19,20]. Several projects have been launched to converge clinical terminologies towards ...
The convergence of these terminologies towards a single coding system seems highly unrealistic, so final technologies to facilitate or automate interoperability will be needed. Ontologies are also powerful tools to represent knowledge about the semantic interrelations of the clinical concepts contained in ...
A 2024 study by NEJM AI showed that using an LLM, with zero-shot prompting, for medical coding tasks generally leads to poor performance. Using Amazon Comprehend Medical with an LLM can help mitigate these performance issues. Amazon Comprehend Medical results are helpful context for an LLM that...
That’s where computer-assisted coding steps in. AI advancements and promised benefits Computer-assisted coding (CAC) software can be both rule-based and AI-based. Rule-based systems work like keyword search tools with predefined parameters, so expert coders need to write new rules whenever the ...
Active inference is the generic theory that originated with the computational neuroscience model of predictive coding10,11. In the network architecture of the human cerebral cortex, this model proposes that the process of perception begins not with sensory input but rather with the brain’s prediction...
In some embodiments, the medical billing codes derived by the NLU engine may be suggested to a human user such as a medical coding professional (“coder”) coding the patient encounter via a computer-assisted coding (CAC) system; examples of possible functionality for such a CAC system are ...
A keyboard specifically designed to reduce errors in medical coding and aid in the coding process by making it easier to locate only the keys needed to accomplish coding. The keyboa