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However, high-quality discharge predictions could alleviate this issue by predicting bed availability for surgical and ICU patients later in the evening, enabling decision makers to reduce the need to hold empty beds and enabling more efficient hospital capacity use.
Discharge prediction models have been previously proposed as an approach to improving operational and clinical outcomes [11-17].
J Med Internet Res 2025;27:e63765
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Predicting a patient’s readmission should be done from the beginning of hospitalization so that a patient-tailored discharge plan can be established and reflected in treatment. It is necessary to actively utilize nursing data containing comprehensive information [11,12].
Therefore, this study aimed to develop a readmission early prediction model utilizing nursing data, including physical, mental, and social information for high-risk discharge patients.
JMIR Med Inform 2025;13:e56671
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For syncope patients, admission carried a greater unadjusted risk than a discharge of 30-day revisits (RD=2.5%, 95% CI 0.0 to 5.0).
Unadjusted and adjusted estimates (95% CI) of risk differences (RD) for 30-day revisits, comparing admission to discharge (reference). Adjusted estimates account for latent health state and measured variables.
a UTI: urinary tract infection.
JMIR Aging 2025;8:e55929
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However, there is a scarcity of research comparing the perspectives of older adult patients and health care providers with concordance measures for a large-scale technology-based discharge communication tool. Measuring and comparing the alignment between patient and provider perspectives enables the unveiling of true shared understanding in terms of discharge education [14].
JMIR Aging 2025;8:e60506
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A growing body of evidence indicates that these individuals face high risks of adverse outcomes after ED discharge, including falls [2] and functional decline [3]. While guidelines aim to identify those at risk of poor outcomes [4], existing fall risk screening tools using data at the time of the ED encounter have limited ability to predict which patients will fall [2].
JMIR Aging 2024;7:e57601
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In parallel to primary health care, another entry point of SP could be hospital discharge time. Hospital discharge is a transition period of paramount importance, both in terms of hospital efficiency/effectiveness [16] and quality of care [17]. Discharge coordination (DC) has been tested for years, especially in North America and Japan, to reduce the rate of readmission within 30 days, also with mixed results [18-20].
JMIR Form Res 2024;8:e51728
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For example, Safavi et al [7] have suggested a feedforward neural network model comprising clinical and administrative data extracted from EHRs to predict discharge from inpatient surgical care. Zhang et al [8] have investigated a prediction model for next-day discharge using EHR access logs combined with gradient-boosted ensembles of decision trees. For this study, we refer to Stone et al [9] for a comprehensive review of the prediction of hospital LOS.
JMIR Med Inform 2023;11:e45377
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The POFU registry is maintained by PACU clerks and nurses, who record day-surgery patient information and short-term outcomes from PACU and then follow-up with families via telephone to gather patient-reported outcomes at 24 hours post discharge. These data are recorded using the Research Electronic Data Capture (REDCap) web application (Vanderbilt University) [11,12] hosted locally.
JMIR Perioper Med 2023;6:e47398
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The aim of the questions in this domain was to investigate current decision-making and whether the discharge AI-CDS tool could be of benefit in terms of the complexity of the discharge decision and the predicted outcome. The first 3 statement questions investigated the complexity of the decision to discharge ICU patients and the influence of readmission risk and bed availability on this decision.
JMIR Hum Factors 2023;10:e39114
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All patients received standard discharge instructions using the EMR, which features medication reconciliation, prescription generation, disease-specific instructions, and follow-up appointments. Hospital discharge was coordinated by the primary team and case manager, who arranged follow-up and any additional needs, such as transportation before discharge. A discharge summary is sent to the primary care provider of the records per routine practice.
JMIR Diabetes 2022;7(3):e33401
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