Objectives: Our study documented communication workflows across adult day care centers (ADCs) and primary care providers (PCPs) around complex needs of persons living with dementia (PLWD). We also identified barriers and facilitators to productive communication in clinical decision support and clinical information systems.
Materials And Methods: We conducted 6 focus groups with ADC staff (N = 33) and individual semistructured interviews with PCPs (N = 22) in California. The eHealth Enhanced Chronic Care Model was used to frame the directed qualitative content analysis.
Results: Our results captured cumbersome and ineffective workflows currently used to exchange information across PCPs and ADCs. Stakeholders characterized current communication as (1) infrequent, (2) delayed, (3) incomplete, (4) unreliable, (5) irrelevant, and (6) generic. Conversely, communication that was bidirectional, relevant, succinct, and interdisciplinary was needed to elevate the standard of care for PLWD.
Discussion And Conclusion: ADCs possess a wealth of information that can support clinical decision-making across community-based providers involved in the care of PLWD, especially PCPs. However, effective information exchange is mired by complicated workflows that rely on antiquated technologies (eg, facsimile) and standard templates. Current information exchange largely focuses on satisfying regulatory guidelines rather than supporting clinical decision-making. Integrating community-based services into the health care continuum is a necessary step in elevating the standard of care for PLWD. In the absence of interoperable electronic health records, which may not be financially viable for ADCs, other options, such as mobile health, should be explored to facilitate productive information exchange of personalized relevant information.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006686 | PMC |
http://dx.doi.org/10.1093/jamia/ocab284 | DOI Listing |
Antimicrob Steward Healthc Epidemiol
August 2024
Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Objective: To summarize available literature and highlight research gaps pertaining to the role of a pharmacist in providing antimicrobial stewardship (AMS) interventions for antibiotics at transitions of care (TOC) from inpatient hospital settings to home.
Design: Scoping review.
Methods: This scoping review follows the Arksey and O'Malley methodological framework.
BMC Nurs
January 2025
Nursing Administration, Faculty of Nursing, Helwan University, Cairo, Egypt.
Introduction: Artificial Intelligence (AI) is increasingly being integrated into healthcare, particularly through predictive analytics that can enhance patient care and operational efficiency. Nursing leaders play a crucial role in the successful adoption of these technologies.
Aim: This study aims to assess the readiness of nursing leaders for AI integration and evaluate their perceptions of the benefits of AI-driven predictive analytics in healthcare.
BMC Nurs
January 2025
Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
Background: Telehealth services are becoming increasingly popular at primary healthcare centres. Some examples include text-based digital triage and health guidance using chats, emails, images and pre-filled forms. Telephone-based communication has until recent years been the predominant means for triage and health guidance, but now includes written communication via computer or smartphone.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
University Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Avenue, BSH 5056, Cleveland, OH, 44106, USA.
The objective of this study is to implement an actionable incidental findings (AIFs) communication workflow integrated into the electronic health record (EHR) using dictation macros to improve the quality of radiology reports and facilitate delivery of findings to clinicians. The workflow was implemented across an academic multi-hospital health system and used by over 100 radiologists from 12 divisions. Standardized macros were created for different organ systems including the thyroid, lungs, liver, pancreas, spleen, kidney, female reproductive, and others, designed based on the ACR Novel Quality Measure Set.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Machine learning interatomic potentials (MLIPs) promise quantum-level accuracy at classical force field speeds, but their performance hinges on the quality and diversity of training data. An efficient and fully automated approach to sample chemical reaction space without relying on human intuition, addressing a critical gap in MLIP development is presented. The method combines the speed of tight-binding calculations with selective high-level refinement, generating diverse datasets that capture both equilibrium and reactive regions of potential energy surfaces.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!