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  • Development of an enhanced scoring system to predict ICU . . . - BMJ Open
    BMJ Open 2024;14: e074604 doi:10 1136 Protected by copyright, including for uses related to text and data mining, AI training, and similar technologies by guest on February 8, 2025 All the ICUs in this study use a Philips Healthcare CIS (Philips Healthcare, Eindhoven, the Netherlands) In addition, we used the linked datasets
  • Data’s big three: how learning health systems, artificial intelligence . . .
    Three areas transforming how we use data in healthcare, learning health systems (LHSs), artificial intelligence (AI) and predictive analytics, are enhancing the quality, efficiency and personalisation of care By leveraging data from everyday clinical practice, LHSs create a feedback loop where new knowledge is constantly generated and applied, ensuring best practices are embedded in care
  • Predicting 14-day readmission in middle-aged and elderly . . . - BMJ Open
    Objectives Unplanned pneumonia readmissions increase patient morbidity, mortality and healthcare costs Among pneumonia patients, the middle-aged and elderly (≥45 years old) have a significantly higher risk of readmission compared with the young Given that the 14-day readmission rate is considered a healthcare quality indicator, this study is the first to develop survival machine learning
  • Evaluation of an intervention targeted with predictive . . . - The BMJ
    Objectives To determine the associations between a care coordination intervention (the Transitions Program) targeted to patients after hospital discharge and 30 day readmission and mortality in a large, integrated healthcare system Design Observational study Setting 21 hospitals operated by Kaiser Permanente Northern California Participants 1 539 285 eligible index hospital admissions
  • AI-Powered Predictive Analytics in Healthcare: Advancing Patient . . .
    Through Readmission Forecasting Kenneth Brian, Nicholas Brandon Department of Computer and Health Sciences, University of Harvard Abstract: The increasing burden of hospital readmissions presents a significant challenge to healthcare systems worldwide This study explores the application of artificial intelligence (AI)-
  • 226 Co-designing in quality management: developing a data-driven . . .
    Introduction Reducing unplanned 14-day readmissions is crucial for enhancing patient safety and healthcare efficiency 1 Our medical center in Taiwan developed a visual dashboard integrating IDSS and BI to monitor readmissions by diagnosis, offering real-time insights for clinicians and administrators to identify trends and optimize care 2–5 Through Experience-Based Co-Design (EBCD), 6,7 we
  • Predictive modelling methods of hospital readmission risks . . . - BMJ Open
    Introduction Chronic obstructive pulmonary disease (COPD) is a significant chronic respiratory condition characterised by persistent airway obstruction, leading to substantial morbidity and mortality worldwide Patients with COPD frequently experience hospital readmissions shortly after discharge, mainly due to acute exacerbations This review aims to identify and synthesise the reported
  • TRIPOD+AI statement: updated guidance for reporting clinical . . . - The BMJ
    TRIPOD+AI prominently features open science practices 35 Open science practices are crucial for prediction model research in healthcare as they promote transparency, reproducibility, and collaboration between researchers 95 By registering research and making study materials such as protocols, data, code, and the prediction model open available
  • Data s big three: how learning health systems, artificial intelligence . . .
    Open access Data’s big three: how learning health systems, artificial intelligence and predictive analytics are transforming healthcare Kerryn Butler-Henderson , Salma Arabi , Wei Wang To cite: BMJ Health Care Informatics: first published as 10 1136 bmjhci-2024-101414 on 13 March 2025 Downloaded from https: informatics bmj com on 23
  • Open access Protocol Predictive modelling methods of hospital . . .
    TondefiB etal Open 22515e3771 doi11136bmopen-224-3771 1 Open access Predictive modelling methods of hospital readmission risks for patients with chronic obstructive pulmonary disease (COPD): a systematic review protocol Balkissa Tonde ,1,2,3,4 Metogara Mohamed Traore,2,4,5 Paolo Landa ,1,3,4 André Côté,2,3,4,5 Maude Laberge 2,4,6
  • Impact of time from discharge to readmission on outcomes: an . . . - BMJ Open
    the US National Readmission Database BMJ Open 2024;14:e085466 doi:10 1136 including for uses related to text and data mining, AI training, and similar technologies by guest on May 21, 2025 Definitions are listed on the Health-care Cost and Utilisation Project website (hcup-us ahrq gov) In the univariate analysis, we looked at
  • Promising algorithms to perilous applications: a systematic review of . . .
    BMJ Health Care Informatics: first published as 10 1136 bmjhci-2024-101065 on 19 June 2024 including for uses related to text and data mining, AI training, and similar technologies 2 OddyC, eal ealh are nr 22431e1165 doi11136bmjhci-224-1165 Open access stratification tools in the primary care setting reporting Open access study





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