Results 191 to 200 of about 40,791,955 (306)

Automated Text Messages to Link Emergency Department Patients With Public Benefits Navigators.

JAMA Netw Open
Dixon EL, Harrison J, Haider A, Berkowitz M, Southwick L, Rareshide C, Carroll C, Kaledin C, De La Rosa W, Merchant RM, Kilaru AS.   +10 more
europepmc   +1 more source

Effects of small airtime rewards linked to unsolicited text messages on uptake of a tuberculosis self-screening app in South Africa: a randomised trial. [PDF]

BMJ Open
Rich K, Burger R, Boulle A, Goldberg D, Gqada N, Hynek JP, Loff A, Naidoo P, Nair D, von Delft A, Rieger M.   +10 more
europepmc   +1 more source

Estimating the Prevalence and Incidence of Symptomatic Hand Osteoarthritis in the Netherlands Using Primary Care Electronic Health Records

Arthritis Care &Research, EarlyView.
Objective Estimating the incidence and prevalence of symptomatic hand osteoarthritis (OA) in the Dutch population using a validated algorithm that integrates free‐text data from primary care electronic health records (EHRs). Methods This retrospective cohort study used the Integrated Primary Care Information database, including EHRs from approximately ...
Onur Kaya, Jacoline van den Driest, Laura Struik, Margreet Kloppenburg, Ruud Selles, Daniel Prieto Alhambra, Sita Bierma‐Zeinstra, Dieuwke Schiphof   +7 more
wiley   +1 more source

Implementation and Impact of Postdischarge Support of Cardiovascular Patients Using Text Messages The HeartHealth Program. [PDF]

JACC Adv
Sheahen B, Marschner S, Min H, Thiagalingam A, Pryce D, Denniss R, Kovoor P, Wynne D, Balasuriya Indrawansa A, Chow CK.   +9 more
europepmc   +1 more source

Text messages

, 2019
openaire   +2 more sources

Generative Artificial Intelligence in Clinical Practice: How Should Rheumatologists Evaluate and Monitor Emerging Tools?

Arthritis Care &Research, EarlyView.
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo, Mrinalini Dey, Jinoos Yazdany   +2 more
wiley   +1 more source

Read. This. Slowly: mimicking spoken pauses in text messages. [PDF]

Front Psychol
Poirier RC, Cook AM, Klin CM.
europepmc   +1 more source

The Content and Reporting Completeness of Physical Therapist–Led Interventions for Glenohumeral Osteoarthritis: A Systematic Review

Arthritis Care &Research, EarlyView.
Objective This study synthesized the content and reporting completeness of published physical therapist–led interventions for glenohumeral osteoarthritis (GHOA). Methods This systematic review undertook electronic database searches in PubMed, EMBASE, Cochrane, CINAHL, and PEDro (until June 2025) for any peer‐reviewed articles or studies describing ...
Daha G. Muhammad, Nadine E. Foster, Mickylle Pelaez, Karina O'Leary, Ilana N. Ackerman, Jonathan G. Quicke   +5 more
wiley   +1 more source

Caring Text Messages for Suicide Prevention in Urban American Indian Youth: Protocol for a Randomized Controlled Trial. [PDF]

JMIR Res Protoc
Morgan ER, Bogic M, Hebert L, Poole E, Tsosie N, Tsosie N, Garcia K, O'Leary M, Mettler R, Johnson G, Son-Stone L, Parker T, Buchwald D, Manson S.   +13 more
europepmc   +1 more source

Artificial Intelligence‐Driven Extraction of Patient‐Reported Pain Outcomes in Osteoarthritis Using Large Language Models

Arthritis Care &Research, Accepted Article.
Objective Patient‐reported outcome measures (PROMs) are central to assessing symptom burden and treatment response in Osteoarthritis (OA) but are often embedded in unstructured clinical notes. We evaluated whether prompt‐engineered large language models (LLMs) could accurately extract or infer pain scores on a 0‐10 scale from routine OA clinical ...
Jainesh Doshi, Stephen Batter, Yiyuan Wu, William Salerno, Alice Santilli, Sandhya Kannayiram, Susan Goodman, Bella Mehta   +7 more
wiley   +1 more source