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BMJ Health & Care Informatics
Scopus
ISSN 2632-1009 · BMJ Publishing Group · 591 artikel di indeks
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Artikel Jurnal Teks lengkap
Early detection of female-specific cancers using longitudinal healthcare records with a multichannel convolutional neural network
Objectives Female-specific cancers, including breast, ovarian, cervical and uterine malignancies, lack comprehensive early detection approaches, particularly for ovarian and endometrial cancers where effective population-level screening remains limited. This study aimed to develop and validate a…
Juga tersedia di: DOAJ
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Artikel Jurnal Teks lengkap
Data pipeline quality: development and validation of a quality assessment tool for data-driven algorithms and artificial intelligence in healthcare
Objectives To develop and validate a tool for standardised quality assessment of data-driven algorithms in healthcare, focusing on the underlying data pipeline.Methods Data Assessment Tool for Algorithm Critical Appraisal and Robust Evidence (DATA-CARE) was iteratively developed from the…
Juga tersedia di: DOAJ
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Artikel Jurnal Teks lengkap
Mechanistic interpretability of reinforcement learning in Medicaid care coordination
Objective To expose reasoning pathways of a reinforcement learning policy for Medicaid care coordination, develop an error taxonomy and implement fairness-aware guardrails.Design Retrospective interpretability audit using attention analysis, Shapley explanations, sparse autoencoder feature…
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Artikel Jurnal
Implementation strategy for data-driven surgical systems: a South African perspective
Surgical care is essential to achieving universal health coverage, yet many African low-income, lower-middle-income countries (LMICs) and upper-middle-income countries - including South Africa—struggle to harness healthcare data for surgical system strengthening. Despite global advocacy efforts and…
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Artikel Jurnal
Vision for the future education of healthcare professionals: human relationships at the centre – technology in a supportive role
In this time of rapidly-changing science, technology, healthcare and society, the education of aspiring professionals and the training of seasoned practitioners must intentionally place human relationships at the centre of service delivery. Reflecting on our own experiences, gained over many years…
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Artikel Jurnal
Smart scheduling of arthroplasty surgery with machine learning and optimisation improves operating room utilisation
Objectives Total hip and knee arthroplasty (THA and TKA, respectively) are effective procedures but are costly and resource intensive. As such, scheduling can have a significant impact on hospitals. The aim of this study was to evaluate the efficiency of a surgical schedule generated using machine…
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Artikel Jurnal
Electronic health record use in physiotherapy: adoption, perceived relevance and utilisation patterns—a cross-sectional study
Objectives This study aims to assess electronic health record (EHR) use in physiotherapy, identify factors influencing its adoption and evaluate physiotherapists’ perceptions of its relevance.Methods A cross-sectional study was conducted with 138 licensed physiotherapists recruited through digital…
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Effects of a bidirectional interoperability between electronic health records and smart infusion pumps in hospital settings: a systematic review
Objectives To explore the effects of bidirectional interoperability between electronic health records (EHR) and smart infusion pumps on medication errors (MEs), system compliance and workflow efficiency and economic aspects.Methods This systematic review followed the Preferred Reporting Items for…
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Artikel Jurnal
Unlocking digital health: inequalities in the adoption of a patient portal
Objective Digital health apps and patient portals are proposed as part of the drive from ‘analogue to digital’ care for the National Health Service (NHS) 10-Year Plan. Without mitigation strategies, digital inequalities could arise as a result, and more evidence is needed to understand how to…
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Impact of the Federated Data Platform’s digital surgery scheduling system on elective theatre utilisation at an NHS Trust: an interrupted time series analysis
Objectives To evaluate the National Health Service (NHS) Federated Data Platform (FDP) Inpatient (IP) Care Coordination Solution (CCS) digital scheduling tool on elective theatre utilisation.Methods An interrupted time series assessed changes in theatre utilisation and cancellations following tool…
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Artikel Jurnal
Artificial intelligence translation in healthcare: an urgent call for evidence-informed policy frameworks
The deployment of artificial intelligence (AI) translation tools in healthcare is accelerating rapidly, yet regulatory frameworks lag dangerously behind clinical practice. Recent data reveal that 57% of US physicians are already using or planning to adopt AI translation services within the next…
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Artikel Jurnal
By the book or beyond? Lessons on implementation fidelity in remote patient monitoring within a hybrid hospital-at-home feasibility study
Objectives Hybrid hospital-at-home (HaH) models, combining remote patient monitoring (RPM) with home visits, offer an alternative to inpatient care. Yet, evidence on how RPM is delivered is limited. This paper reports a substudy embedded within a feasibility study, examining RPM quality in a hybrid…
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Artikel Jurnal
Longitudinal multisource clinical model for early lung cancer risk stratification and screening
Objectives Lung cancer is the leading cause of cancer-related mortality worldwide, with poor prognosis largely due to late-stage diagnosis. Current screening methods such as low-dose CT face accessibility and cost barriers in resource-limited settings. This study develops a lightweight multichannel…
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Bringing AI to the OR: integrating a machine learning predictive model in the EHR – a pilot on user-friendliness
Objectives Evaluate the technical integration and usability of an intraoperative predictive machine learning model for colorectal anastomotic leakage within the Epic electronic health records (EHRs) at a single academic centre, with outputs blinded.Methods The system used 28 data elements from…
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Artikel Jurnal
Adoption, barriers and opportunities of interoperability and eHealth standards in Africa: a scoping review
Objectives Interoperability, the seamless exchange and use of data across digital health systems, is essential for integrated, efficient healthcare delivery. However, evidence on its adoption in Africa remains limited and fragmented. This scoping review aimed to map existing evidence, identify key…
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Artikel Jurnal
Explainable AI for mortality prediction: a comparative study using the MIMIC-III dataset
Objectives Predicting mortality is vital for tailoring treatments, improving care and reducing costs. Machine learning (ML) has shown strong potential, often outperforming traditional severity-of-illness scoring systems in intensive care units (ICUs). However, the black-box nature of ML limits…