Digital Transformation of Rheumatology Care in Germany: Cross-Sectional National Survey.

Background: In recent years, health care has undergone a rapid and unprecedented digital transformation. In many fields of specialty care, such as rheumatology, this shift is driven by the growing number of patients and limited resources, leading to increased use of digital health technologies (DHTs) to maintain high-quality clinical care. Previous studies examined user acceptance of individual DHTs in rheumatology, such as telemedicine, video consultations, and mHealth.

German Version of the Telehealth Usability Questionnaire and Derived Short Questionnaires for Usability and Perceived Usefulness in Health Care Assessment in Telehealth and Digital Therapeutics: Instrument Validation Study.

Background: The exponential growth of telehealth is revolutionizing health care delivery, but its evaluation has not matched the pace of its uptake. Various forms of assessment, from single-item to more extensive questionnaires, have been used to assess telehealth and digital therapeutics and their usability. The most frequently used questionnaire is the "Telehealth Usability Questionnaire" (TUQ).

Artificial intelligence in rheumatology: status quo and quo vadis-results of a national survey among German rheumatologists.

Background: The development and potential of artificial intelligence (AI) is remarkable. Its application in all medical disciplines, including rheumatology, is attracting attention. To what extent AI is already used in clinical routine in rheumatology is unknown.

[Measurement of disease-related knowledge of patients with axial spondyloarthritis-Development and application of the G-ASKQ7 questionnaire].

Background And Objective: Patient education is an integral component of the treatment of axial spondyloarthritis (axSpA). However, the validated tools currently available for assessing disease-related knowledge are outdated and, in the case of axSpA, only available in English. The aims of this work were therefore (1) to develop a German-language tool for assessing disease-specific knowledge among axSpA patients and (2) to assess this tool in a pilot study.

Adoption and perception of prescribable digital health applications (DiGA) and the advancing digitalization among German internal medicine physicians: a cross-sectional survey study.

Background: Therapeutic digital health applications (DiGAs) are expected to significantly enhance access to evidence-based care. Since 2020, German physicians and psychotherapists have been able to prescribe approved DiGAs, which are reimbursed by statutory health insurance. This study investigates the usage, knowledge and perception of DiGAs as well as the growing digitalization among internal medicine physicians in Germany.

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

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.

Back on track - digital health applications to treat back pain of rheumatic patients? Results of a qualitative interview study.

Non-specific low back pain (NLBP) is prevalent among patients with rheumatic conditions. Digital health applications (DiGAs) provide reimbursed, personalized home treatment for patients, promising to overcome limitations of traditional healthcare systems. However, the adoption and effectiveness of back pain-specific DiGAs in rheumatology are not well understood.

Complementary App-Based Yoga Home Exercise Therapy for Patients With Axial Spondyloarthritis: Usability Study.

Background: Axial spondyloarthritis (AS) is a chronic inflammatory rheumatic disease characterized by potentially disabling inflammation of the spine and adjacent joints. Regular exercise is a cornerstone of treatment. However, patients with AS currently have little support.

[Digital health applications-What we should know as rheumatologists].

Digital health applications (DHAs) are revolutionising patient care by improving access to evidence-based therapy and promoting active self-management. The continuously growing number of DHAs enables patients to act more independently through digital support. The budget-neutral prescription and cost coverage by statutory health insurance companies reduce financial barriers for practitioners and patients.

Efficacy of a cognitive-behavioral digital therapeutic on psychosocial outcomes in rheumatoid arthritis: randomized controlled trial.

Cognitive behavioral therapy improves psychosocial outcomes in rheumatoid arthritis (RA), but access is limited. We conducted a randomized controlled trial to evaluate the efficacy of a cognitive-behavioral digital therapeutic, reclarit, on psychosocial outcomes in adult RA patients with impaired health-related quality of life. Participants were randomized to reclarit plus treatment as usual (TAU) or TAU plus educational and informational material (active control).

Comparison of Two Symptom Checkers (Ada and Symptoma) in the Emergency Department: Randomized, Crossover, Head-to-Head, Double-Blinded Study.

Background: Emergency departments (EDs) are frequently overcrowded and increasingly used by nonurgent patients. Symptom checkers (SCs) offer on-demand access to disease suggestions and recommended actions, potentially improving overall patient flow. Contrary to the increasing use of SCs, there is a lack of supporting evidence based on direct patient use.

Vignette-based comparative analysis of ChatGPT and specialist treatment decisions for rheumatic patients: results of the Rheum2Guide study.

Background: The complex nature of rheumatic diseases poses considerable challenges for clinicians when developing individualized treatment plans. Large language models (LLMs) such as ChatGPT could enable treatment decision support.

Objective: To compare treatment plans generated by ChatGPT-3.

Awareness and intention-to-use of digital health applications, artificial intelligence and blockchain technology in breast cancer care.

Emerging digital technologies promise to improve breast cancer care, however lack of awareness among clinicians often prevents timely adoption. This study aims to investigate current awareness and intention-to-use of three technologies among breast cancer healthcare professionals (HCP): (1) digital health applications (DHA), (2) artificial intelligence (AI), and (3) blockchain technology (BC). A 22-item questionnaire was designed and administered before and after a 30 min educational presentation highlighting technology implementation examples.

Evolution of publicly available large language models for complex decision-making in breast cancer care.

Purpose: This study investigated the concordance of five different publicly available Large Language Models (LLM) with the recommendations of a multidisciplinary tumor board regarding treatment recommendations for complex breast cancer patient profiles.

Methods: Five LLM, including three versions of ChatGPT (version 4 and 3.5, with data access until September 3021 and January 2022), Llama2, and Bard were prompted to produce treatment recommendations for 20 complex breast cancer patient profiles.