Evidence map›Paper›PMID 39482466›Full record

ReviewNature reviews. Rheumatology2024

Rheumatology in the digital health era: status quo and quo vadis?

Johannes Knitza, Latika Gupta, Thomas Hügle

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. OsteoCHAT: real-world patient evaluation and benchmarking of a guideline-grounded osteoporosis chatbot.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Johannes KnitzaInstitute for Digital Medicine, University Hospital of Giessen and Marburg, Marburg, Germany. knitza@uni-marburg.de.ORCID http://orcid.org/0000-0001-9695-0657
Latika GuptaDepartment of Rheumatology, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK.ORCID http://orcid.org/0000-0003-2753-2990
Thomas HügleDepartment of Rheumatology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatology faces a critical shortage of health-care professionals, exacerbated by an ageing patient population and escalating costs, resulting in widening gaps in care. Exponential advances in digital health technologies (DHTs) in the past 5 years offer new opportunities to address these challenges and could contribute to overall improved health care. However, keeping pace with innovations and integrating them into clinical practice can be challenging. This Review explores the transformative potential of DHTs for rheumatology in reshaping the entire patient pathway and redefining the roles of patients and providers, and discusses the potential barriers to DHT integration. Key technologies, such as large language models, clinical decision-support systems, digital therapeutics, electronic patient-reported outcomes, digital biomarkers, robots, self-sampling devices and artificial intelligence-based scribes, can be implemented along the patient pathway. A digital-first hybrid stepped-care patient pathway could combine in-person and remote care, enabling personalized and continuous monitoring through a digital safety net. The potential benefits and risks of transforming the traditional patient-provider relationship into a digital health triad with technology are discussed. Collaborative efforts are needed to navigate the evolving digital health landscape and harness the potential of DHTs to improve rheumatology care.

Indexed as

RheumatologyArtificial IntelligenceBiomedical TechnologyDecision Support Systems, ClinicalDigital HealthDigital TechnologyHumansRheumatic DiseasesTelemedicine

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.