[ad_1] Abstract Background Despite the increasing availability of electronic healthcare record (EHR) data and wide availability of plug-and-play machine learning (ML) Application Programming Interfaces, the adoption of data-driven decision-making within routine hospital workflows thus far, has remained limited. Through the lens of deriving clusters of diagnoses by age, this study investigated the type of ML analysis that can be performed

[ad_1] Abstract In the following narrative review, we discuss the potential role of large language models (LLMs) in medical device innovation, specifically examples using generative pretrained transformer-4. Throughout the biodesign process, LLMs can offer prompt-driven insights, aiding problem identification, knowledge assimilation and decision-making. Intellectual property analysis, regulatory assessment and market analysis emerge as key LLM applications. Through case examples, we

[ad_1] The Nilgiris is synonymous with the Ooty apple. The fruit, known for its numerous health benefits, was introduced by the British who settled in the Nilgiris. Though suited to the climate of the Nilgiris, the cultivation of the fruit went through trials and tribulations. W. Francis, the British officer who authored the Gazette of the Nilgiris, says that English

[ad_1] My article titled ‘Mixed methods protocol for a realist evaluation of electronic personal health records design features and use to support medication adherence (ePHRma)’ was published in BMJ HCI.1 I was in the third year of my PhD programme, coming from a technologically heavy background, and trying to publish a protocol for a mixed methodology mostly qualitative study in

[ad_1] My article titled ‘Mixed methods protocol for a realist evaluation of electronic personal health records design features and use to support medication adherence (ePHRma)’ was published in BMJ HCI.1 I was in the third year of my PhD programme, coming from a technologically heavy background, and trying to publish a protocol for a mixed methodology mostly qualitative study in

[ad_1] Methods Protocol and registration This systematic review conducted was designed and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement31 and AMSTAR (Assessing the methodological quality of systematic reviews) 2 Guidelines.32 The protocol was registered on International Platform of Registered Systematic Review and Meta-analysis Protocols database (INPLASY Number: INPLASY202370080) and Research Registry

[ad_1] Abstract Objectives We assessed the feasibility of ChatGPT for patients with type 2 diabetes seeking information about exercise. Methods In this pilot study, two physicians with expertise in diabetes care and rehabilitative treatment in Republic of Korea discussed and determined the 14 most asked questions on exercise for managing type 2 diabetes by patients in clinical practice. Each question

[ad_1] Objective The study aimed to develop natural language processing (NLP) algorithms to automate extracting patient-centred breast cancer treatment outcomes from clinical notes in electronic health records (EHRs), particularly for women from under-represented populations. Methods The study used clinical notes from 2010 to 2021 from a tertiary hospital in the USA. The notes were processed through various NLP techniques, including

[ad_1] Abstract Background The detrimental repercussions of the COVID-19 pandemic on the quality of care and clinical outcomes for patients with acute coronary syndrome (ACS) necessitate a rigorous re-evaluation of prognostic prediction models in the context of the pandemic environment. This study aimed to elucidate the adaptability of prediction models for 30-day mortality in patients with ACS during the pandemic

[ad_1] Abstract Background The detrimental repercussions of the COVID-19 pandemic on the quality of care and clinical outcomes for patients with acute coronary syndrome (ACS) necessitate a rigorous re-evaluation of prognostic prediction models in the context of the pandemic environment. This study aimed to elucidate the adaptability of prediction models for 30-day mortality in patients with ACS during the pandemic

[ad_1] Jung In Park<br />Jul 1, 2024; 31:e100966-e100966<br /> [ad_2] Source link

[ad_1] Maplai virundhu at Madras Maplai | Photo Credit: Special Arrangement High school buddies, Jerome Fenelon and D Badrinarayan, were always interested in the world of cooking and food. Five years ago, they decided to pursue this passion more seriously. After attempting to understand this industry, they have now launched their fine dining restaurant, Madras Maplai. The strategic location, close

[ad_1] Discussion In our original study, we presented a case study of an LHS within an Australian primary care setting and showed that it was operating within several dimensions of the LHS framework, and that its staff were willing to embrace additional elements of the LHS.24 In this secondary analysis, we used the TDF to describe barriers and facilitators to

[ad_1] Discussion In our original study, we presented a case study of an LHS within an Australian primary care setting and showed that it was operating within several dimensions of the LHS framework, and that its staff were willing to embrace additional elements of the LHS.24 In this secondary analysis, we used the TDF to describe barriers and facilitators to

[ad_1] Systematic review Our review identified 3897 publications eligible for screening after duplicates were removed (figure 2). Of these, 3636 were excluded on the basis of their title or abstract alone leaving 261 that were sought for retrieval. Full texts could not be retrieved for 10 publications, thus 251 were reviewed in full. A total of 51 publications met our

[ad_1] Discussion Referring providers have been criticised for writing poor-quality referrals for many years.1–3 This study identified inconsistencies and ambiguities within Canadian referral guidelines. No referral data type was consistently identified for inclusion by all referral guidelines. Surprisingly, only 7 of 13 (54%) referral guidelines specifically recommended the patient’s name and 8 of 13 (62%) recommended the patient’s contact information,

[ad_1] Systematic review Our review identified 3897 publications eligible for screening after duplicates were removed (figure 2). Of these, 3636 were excluded on the basis of their title or abstract alone leaving 261 that were sought for retrieval. Full texts could not be retrieved for 10 publications, thus 251 were reviewed in full. A total of 51 publications met our