e.g. mhealth
Search Results (1 to 10 of 14 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 3 JMIR Aging
- 3 JMIR Formative Research
- 2 JMIR Diabetes
- 2 JMIR Medical Informatics
- 2 JMIR Research Protocols
- 1 JMIR Human Factors
- 1 JMIR Perioperative Medicine
- 0 Journal of Medical Internet Research
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Public Health and Surveillance
- 0 JMIR mHealth and uHealth
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
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
Download Citation: END BibTex RIS
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
Download Citation: END BibTex RIS
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
Download Citation: END BibTex RIS
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
Download Citation: END BibTex RIS
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
Download Citation: END BibTex RIS
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
Download Citation: END BibTex RIS
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
Download Citation: END BibTex RIS
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
Download Citation: END BibTex RIS
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
Download Citation: END BibTex RIS
Patients seen in our preoperative CVT program, which started in July 2014, were compared to patients who had in-person visits to evaluate the association of visit type (preoperative CVT versus in-person) with hospital length of stay, defined as hospital stay from postoperative day 0 to discharge. We extracted data from 2016 to 2017. Preoperative CVT involves a thorough history and a full airway exam.
JMIR Form Res 2022;6(7):e38054
Download Citation: END BibTex RIS