e.g. mhealth
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Skip search results from other journals and go to results- 9 JMIR Medical Informatics
- 9 Journal of Medical Internet Research
- 8 JMIR Human Factors
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- 4 JMIRx Med
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- 3 JMIR mHealth and uHealth
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Artificial intelligence (AI) automation in low- to mid-level tasks like patient education and initial therapy screening emerges as a strategic response to mitigate this shortage, reallocating medical staff to higher-priority tasks [2,3].
The advent of advanced multimodal large language models (LLMs) such as GPT-4 introduces a paradigm shift, promising scalable, cost-effective chatbot solutions, which are particularly helpful for tasks that require the provider to interact with the patient [4].
JMIR Nursing 2025;8:e63058
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Automated Process for Monitoring of Amiodarone Treatment: Development and Evaluation
In this study, we present a model for the automation of repetitive follow-up of patients with amiodarone treatment. First, we constructed an automated solution including the whole surveillance process, using a robotic process automation (RPA) software tool. We then compared the RPA to standard manual amiodarone follow-up as presently practiced.
J Med Internet Res 2025;27:e65473
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Trust in automation, defined as “the attitude that an agent will help achieve an individual’s goals in situations characterized by uncertainty and vulnerability” [26], is one of the most crucial factors determining the use of automation [27,28]. There is a growing body of research examining people’s trust in autonomous and robotic technologies in various domains, including transportation [29-31], health care [32,33], education [34], and defense [35,36].
JMIR Hum Factors 2025;12:e60273
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For this study, using SQL automation within the EDW allowed us to accurately identify and regularly update lists of eligible participants without ongoing human input or intervention.
JMIR Form Res 2025;9:e58628
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A recent statement by the National Institute for Health and Care Excellence highlights the potential of AI in the systematic review process automation [17].
This study was created and revised following the recommendation of PRISMA-Sc R (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) and updated JBI (formerly known as Joanna Briggs Institute) guidance for the conduct of scoping reviews [16,18-20].
JMIR Ment Health 2025;12:e67192
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Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study
automation
JMIR AI 2024;3:e60020
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The primary outcome of this study was to assess the feasibility of using computer automation to obtain, to the fullest extent, long-term pediatric outcomes from patients who underwent FLP for TTTS at a fetal center (FC) over a 2-year period.
Approval was obtained from the Institutional Human Research Ethics Committee (IRB) (HSC-MS-19‐0363), and the study was conducted between June 1, 2019, and September 30, 2020. The IRB determined that our study did not need ethical approval.
JMIR Pediatr Parent 2024;7:e60039
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