Health data generated by apps and devices are increasingly popular and expected to affect various aspects of doctor-patient relationships. No longer confined to medically authorised and certified health technologies, a range of biomedical data-from heart rate to blood pressure or oxygen saturation-are captured and processed by consumer health devices. This article outlines different responses of physicians to patients collecting data with popular consumer devices and considers how the data may challenge or reify medical authority. Based on semi-structured interviews with doctors and chronically ill patients in Germany from 2021 to 2023, we compare cases from diabetes, sleep disorders, cardiovascular conditions, obesity and ME/CFS and explore when, how and for what reasons different medical specialists consider patient-generated data (PGD) from consumer devices in outpatient settings. Their response registers vary: whereas some physicians reject PGD that seem to compete with their diagnostic activities, others tolerate the data (collection), whereas still others more readily include them into their diagnostic practices. This suggests nuanced strategies for navigating the demarcation between accepting or rejecting 'uninvited' participation through PGD from consumer apps and devices.
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http://dx.doi.org/10.1111/1467-9566.13864 | DOI Listing |
J Imaging Inform Med
January 2025
Leiden University Medical Center (LUMC), Leiden, the Netherlands.
Rising computed tomography (CT) workloads require more efficient image interpretation methods. Digitally reconstructed radiographs (DRRs), generated from CT data, may enhance workflow efficiency by enabling faster radiological assessments. Various techniques exist for generating DRRs.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Department of Radiology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Integration demands the ability to seamlessly incorporate AI-derived measurements into radiology reports. Common data elements (CDEs) define standardized, interoperable units of information.
View Article and Find Full Text PDFBreast Cancer Res Treat
January 2025
Department of Breast Surgery, Thyroid Surgery, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, No.141, Tianjin Road, Huangshi, 435000, Hubei, China.
Background: The heterogeneity of breast cancer (BC) necessitates the identification of novel subtypes and prognostic models to enhance patient stratification and treatment strategies. This study aims to identify novel BC subtypes based on PANoptosis-related genes (PRGs) and construct a robust prognostic model to guide individualized treatment strategies.
Methods: The transcriptome data along with clinical data of BC patients were sourced from the TCGA and GEO databases.
Int J Qual Health Care
January 2025
Faculdade de Medicina, Universidade de São Paulo (USP), Av. Dr. Arnaldo, 455 - Sala 4107, São Paulo, São Paulo 01246-903, Brazil.
Patients continue to suffer from preventable harm and uneven quality outcomes. Reliable clinical outcomes depend on the quality of robust administrative systems and reliable support processes. Critically ill patient handoffs from the operating room (OR) to the intensive care unit (ICU) are known to be high-risk events.
View Article and Find Full Text PDFJAMA Pediatr
January 2025
Vascular Assessment and Management Service, Department of Anaesthesia and Pain, Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, Queensland, Australia.
Importance: Pediatric peripheral intravenous catheter (PIVC) insertion can be difficult and time-consuming, frequently requiring multiple insertion attempts and often resulting in increased anxiety, distress, and treatment avoidance among children and their families. Ultrasound-guided PIVC insertion is a superior alternative to standard technique (palpation and visualization) in high-risk patients.
Objective: To compare first-time insertion success of PIVCs inserted with ultrasound guidance compared with standard technique (palpation and visualization) across all risk categories in the general pediatric hospital population.
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