#DigitalHealth

spainnews.co.uk

Catalonia proposes AI ban for pupils under 14

President Salvador Illa seeks to codify health guidelines into law to curb screen time and compulsive internet use among young students.

buff.ly

Prospective evidence for conversational medical AI is hard, but non-negotiable

Trust in clinical artificial intelligence (AI) cannot be benchmarked into existence. It must be earned through rigorous prospective studies in real-world clinical settings, where the hardest lessons often...

healthcaretoday.com

Greater than the individual: The anatomy of EPR workflow risk

Electronic Patient Records promise safer, faster care - but when systems fail, poorly configured software and fragmented governance can put patients at serious risk. Simon Bowgen from Maulin Group’s i...

social.heise.de

Original post on social.heise.de

buff.ly

MEDI:CUS-Plattform wird zukunftsfest aufgestellt

Die Gesundheitsplattform MEDI:CUS geht in eine dauerhafte Organisationsstruktur über. Im Innenministerium Baden-Württemberg erfolgte die Gründung des Vereins MEDI:CUS e. V. als langfristige…

dlvr.it

Clinical Implementation of Wearable-Derived Sleep and Activity Reporting for Inpatient Psychiatric Monitoring

Background: Sleep is a core component of psychiatric assessment, yet inpatient monitoring typically relies on brief observational checks that are subjective, variable, and sometimes disruptive. Wearable devices offer a means of capturing continuous, objective sleep and activity data without disturbing patients. Although digital health technologies are increasingly used in psychiatric research, little is known about how wearable-derived data can be integrated into routine inpatient workflows or used meaningfully by clinicians. Objective: This implementation aimed to evaluate the #feasibility, #usability, and workflow integration of a wearable-derived sleep and activity reporting system within an adult psychiatric inpatient unit. Methods: The implementation unfolded in 2 phases at a single 21-bed adult inpatient unit at a psychiatric hospital in Massachusetts. Patients were offered a wrist-worn GENEActiv actigraphy device upon admission. Raw accelerometry data were processed using the DPSleep pipeline to derive daily sleep and activity metrics for patients participating in the implementation. Sleep and activity reports combining graphical summaries and natural language summaries of sleep, activity, and medication data were iteratively refined and delivered to psychiatrists providing patient care. Semistructured qualitative interviews were conducted with clinicians and unit staff to gather feedback on the sleep and activity report prototype and discuss barriers to and facilitators of implementation. Interview data were coded and analyzed by a team of 2. Implementation (Results): During phase 1 of the implementation, 155 patients were admitted, of whom 88 (56.8%) were offered a device and 68 (77.3%) accepted it. Sleep and activity reports were generated for 61.8% (42/68) of patients wearing a device during this phase. During phase 2 of the implementation, automation reduced report generation time from approximately 5 days to under 24 hours. Only 1 of the 3 psychiatrists on the unit regularly used the reports in routine care. Reports were most useful for reconciling discrepancies between patient and nursing sleep estimates and for supporting clinical conversations about sleep patterns and medication adherence between clinician and patient. Clinicians who had not yet used the reports expressed conceptual interest but emphasized the need for integration in the electronic medical record, reliably available “last-night” sleep data, and simplified design. Barriers included challenges in the speed, reliability, and clarity of the data; variable staff buy-in; and disconnects between the research and clinical teams running the implementation. Conclusions: This implementation suggests that wearable-derived sleep and activity data reporting is technically feasible in inpatient psychiatry. This data reporting potentially offers clinically meaningful insights. Use of the reports was concentrated in 1 of the 3 psychiatrists on the unit, who served as an early adopter and project champion (AGY). Sustainable use and broad clinical uptake are more likely with reliable, near-instantaneous data transfer; electronic medical record integration; and shared implementation ownership across staff levels.