This article presents a dynamic new model of health informatics. Within the model, the focus of health informatics changes from the provider to the consumer and incorporates the dynamic relationship of technological change to health care. Bioinformatics is the scientific discipline that is translated into care through the practice of health informatics. The loci of health informatics practices are the consumer (consumer informatics), the patient (clinical informatics), and the community (public health informatics). The continuum from individual to community interacts with and contributes to health care technology, which is represented as a constantly changing progressive wave.
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http://dx.doi.org/10.1097/ANS.0000000000000101 | DOI Listing |
Bioinform Adv
December 2024
Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, United States.
Motivation: The expansion of genetic association data from genome-wide association studies has increased the importance of methodologies like Polygenic Risk Scores (PRS) and Mendelian Randomization (MR) in genetic epidemiology. However, their application is often impeded by complex, multi-step workflows requiring specialized expertise and the use of disparate tools with varying data formatting requirements. Existing solutions are frequently standalone packages or command-line based-largely due to dependencies on tools like PLINK-limiting accessibility for researchers without computational experience.
View Article and Find Full Text PDFJ Gen Fam Med
January 2025
Background: Deprescribing is a critical component of clinical practice, especially in geriatric medicine. Nevertheless, the attributes of patients who are prepared for, interested in, and could potentially benefit from deprescribing have not been well examined. The Patient Perceptions of Deprescribing (PPoD) evaluates patients' overall readiness for deprescribing and is complemented by an 11-item validated short form (SF-PPoD).
View Article and Find Full Text PDFFront Cardiovasc Med
December 2024
Department of Pharmacy, Institute of Health Science, Wallaga University, Nekemte, Ethiopia.
Background: Heart failure (HF) is a leading cause of morbidity and mortality worldwide. Various factors can exacerbate disease progression in patients with HF and negatively impact treatment outcomes. This study aims to evaluate the pooled prevalence and contributing factors associated with poor heart failure treatment outcomes in Ethiopia.
View Article and Find Full Text PDFPatterns (N Y)
December 2024
Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA.
Guidelines in statistical modeling for genomics hold that simpler models have advantages over more complex ones. Potential advantages include cost, interpretability, and improved generalization across datasets or biological contexts. We directly tested the assumption that small gene signatures generalize better by examining the generalization of mutation status prediction models across datasets (from cell lines to human tumors and vice versa) and biological contexts (holding out entire cancer types from pan-cancer data).
View Article and Find Full Text PDFInfect Drug Resist
January 2025
Department of Orthopedics, First Affiliated Hospital, Chongqing Medical University, Chongqing, People's Republic of China.
Background: Early differentiation between spinal tuberculosis (STB) and acute osteoporotic vertebral compression fracture (OVCF) is crucial for determining the appropriate clinical management and treatment pathway, thereby significantly impacting patient outcomes.
Objective: To evaluate the efficacy of deep learning (DL) models using reconstructed sagittal CT images in the differentiation of early STB from acute OVCF, with the aim of enhancing diagnostic precision, reducing reliance on MRI and biopsies, and minimizing the risks of misdiagnosis.
Methods: Data were collected from 373 patients, with 302 patients recruited from a university-affiliated hospital serving as the training and internal validation sets, and an additional 71 patients from another university-affiliated hospital serving as the external validation set.
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