e.g. mhealth
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Skip search results from other journals and go to results- 6 Journal of Medical Internet Research
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Large language models (LLMs), like Open AI’s GPT models, can streamline the classification and coding of unstructured EHR text due to their massive training data sets and advanced text processing [11,12]. LLMs have been used to categorize unstructured text from EHR systems [13], assist with qualitative analysis [14,15], and perform deductive coding with and without context [16]. Preliminary evidence shows that LLMs outperform crowd workers in annotation of health texts [17,18].
JMIR Med Inform 2025;13:e65454
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Providing false information in the form of text is also possible but requires more effort than simply ticking a lower number on the questionnaire. In addition, natural language processing (NLP) with a sufficiently large database can be used to detect lying [10].
JMIR Serious Games 2024;12:e56663
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Reassessing AI in Medicine: Exploring the Capabilities of AI in Academic Abstract Synthesis
We propose that employing Chat GPT in a “layered progressive” manner for text generation could address this issue. This method involves dividing an article into smaller sections, having Chat GPT summarize each section individually, and then compiling these summaries into a cohesive whole. Such an approach is likely to yield better results than generating a summary from the entire text.
J Med Internet Res 2024;26:e55920
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Except for SMS text messages, all study recruitment and communication materials in this study were branded with standard Kaiser Permanente institutional affiliations, including the study flyer, emails, and portal messages. Patients who did not sign up on the day of vaccination received an invitation by SMS text message, email, or a notification through their online Kaiser Permanente health care portal account.
JMIR Mhealth Uhealth 2024;12:e58991
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Search strategies used for general databases were as follows:
Population: Psychosis OR Schizophrenia OR Schizoaffective OR Schizophrenia Spectrum OR Psychotic Disorders OR First-Episode Psychosis OR Early-Episode Psychosis
Intervention: SMS OR Short Message Service OR SMS-Survey OR Texting OR Text Message OR SMS Based System OR SMS Reminder OR Text Message Reminder OR Digital Health OR Telehealth OR Mobile Apps OR Mobile Applications OR Mobile Health OR e Health OR m Health OR Wearable Technology
Search strategies
JMIR Ment Health 2024;11:e57150
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A common method for information extraction using NLP is to treat it as a text classification task specific to each document type. However, document-specific text fine-tuning requires that each model be fine-tuned individually for each specific document type, which does not fully demonstrate the strength of automated processing. Fine-tuning a model requires labeled data, and since such data are unlikely to be available beforehand, it requires manual annotation by health care professionals.
JMIR Med Inform 2024;12:e58977
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The Ability of ChatGPT in Paraphrasing Texts and Reducing Plagiarism: A Descriptive Analysis
Text one consisted of 319 words, text two comprised 613 words, and text three encompassed 1148 words. The texts used in this study were selected from one of our previously published medical papers in a medical journal [13].
For each selected text, five distinct prompts were given to Chat GPT to rephrase the texts. These instructions were designed to test different aspects of rephrasing and reducing plagiarism. The prompts are shown in Table 1.
Prompts provided to Chat GPT.
JMIR Med Educ 2024;10:e53308
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The implementation of the electronic medical record (EMR) in health care systems has resulted in a remarkable increase in the amount of digital patient data [1], much of which is text-based and stored in an unstructured, narrative format [2-4]. While unstructured text is a rich data source, analyses of these data often require time- and cost-intensive manual processing [3].
JMIR Neurotech 2024;3:e51822
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Rapport Building in Written Crisis Services: Qualitative Content Analysis
As part of a larger study focused on building best practices for written hotlines, we worked with a child maltreatment-focused text or chat hotline. This analysis aims to categorize crisis counselors’ efforts to build rapport and convey active listening in written conversations. Using these categories, we identified characteristics associated with successful conversations, as reported by help-seekers.
J Med Internet Res 2024;26:e42049
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