In Sweden, the national telehealth line (Healthcare Guide 1177) offers interpretation in Arabic and Somali. We compared calls by language to identify differences in healthcare use for immigrant populations, focusing on three contact causes: pregnancy; vomiting or nausea in children...
Corporate-speak infests healthcare. Buzzwords invaded medicine thirty years ago, but the infection was contained to hospital administration. Now healthcare is controlled by insurance companies, global technology firms and for-profit outfits of all sorts. Business slang, the jargon of greed, is foulin...
Submit a collection of text documents for extractive summarization Async Healthcare (2022-05-01) Submit a collection of text documents for health care analysis. Async KeyPhrases (2022-05-01) Submit a collection of text documents for key phrase extraction analysis. Async PiiEntityRecognition (...
The Azure platform offers a wealth of services for partners to enhance, extend, and build industry solutions. Here we describe how SyTrue, a Microsoft partner focusing on healthcare uses Azure to empower healthcare organizations to improve efficiency, reduce costs, and improve patient outcomes. Bil...
While ML and “Big Data” are touted as revolutionizing healthcare29, clinicians regularly deal with too many patients in too little time30. Yet, they make hundreds of decisions each day that are primarily based on eminence and not on published data or studies31. Consequently, a valid and re...
It is a long-standing dream for physicians to have AI assistants observing care along with them and chiming in with predictions and advice. To take a step towards this futuristic vision, we trained an LLM, NYUTron, on the entire EHR of a large healthcare system to read physician notes an...
Recent advances in the field of large language models (LLMs) underline their high potential for applications in a variety of sectors. Their use in healthcare, in particular, holds out promising prospects for improving medical practices. As we highlight in this paper, LLMs have demonstrated remar...
import guidance @guidance def one_line_thing(lm, thing, topic): lm += f'Here is a one-line {thing} about {topic}: ' + gen(stop='\n') return lm # return our updated model # pick either a joke or a poem lm = llama2 + f"Do you want a joke or a poem? A {select(['joke...
Google Cloud Healthcare Natural Language API (v1) Azure Text Analytics for Health (v3.1) Amazon Comprehend Medical (v2) Scoring We then compared our labeled annotations to the output annotations of each solution, using the annotation taxonomy, and noted: False Negatives, True Positives, and False...
One broad goal of biomedical informatics is to generate fully-synthetic, faithfully representative electronic health records (EHRs) to facilitate data sharing between healthcare providers and researchers and promote methodological research. A variety of methods existing for generating synthetic EHRs, but the...