98%
921
2 minutes
20
To date, most HIE studies have investigated user perceptions of value prior to use. Few studies have assessed factors associated with the value of HIE through its actual use. This study investigates provider perceptions on HIE comparing those who had prior experience vs those who had no experience with it. In so doing, we identify six constructs: prior use, system complexity, system concerns, public/population health, care delivery, and provider performance. This study uses a mixed methods approach to data collection. From 15 interviews of medical community leaders, a survey was constructed and administered to 263 clinicians. Descriptive statistics and analysis of variance was used, along with Tukey HSD tests for multiple comparisons. Results indicated providers whom previously used HIE had more positive perceptions about its benefits in terms of system complexity ( = .001), care delivery ( = .000), population health ( = .003), and provider performance ( = .005); women providers were more positive in terms of system concerns ( = .000); patient care ( = .031), and population health ( = .009); providers age 44-55 were more positive than older and younger groups in terms of patient care ( = .032), population health ( = .021), and provider performance ( = .014); while differences also existed across professional license groups (physician, nurse, other license, admin (no license)) for all five constructs ( < .05); and type of organization setting (hospital, ambulatory clinic, medical office, other) for three constructs including system concerns ( = .017), population health ( = .018), and provider performance (p = .018). There were no statistically significant differences found between groups based on a provider's role in an organization (patient care, administration, teaching/research, other). Different provider perspectives about the value derived from HIE use exist depending on prior experience with HIE, age, gender, license (physician, nurse, other license, admin (no license)), and type of organization setting (hospital, ambulatory clinic, medical office, other). This study draws from the theory of planned behavior to understand factors related to physicians' perceptions about HIE value, serving as a departure point for more detailed investigations of provider perceptions and behavior in regard to future HIE use and promoting interoperability.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508630 | PMC |
http://dx.doi.org/10.1007/s10796-020-10064-x | DOI Listing |
JMIR Cancer
September 2025
iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
Background: Electronic health records (EHRs) are a cornerstone of modern health care delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end users.
View Article and Find Full Text PDFJ Chem Inf Model
September 2025
Department of Chemistry, Delaware State University, Dover, Delaware 19901, United States.
The calculation of the highest occupied molecular orbital-lowest unoccupied molecular orbital (HOMO-LUMO) gap for chemical molecules is computationally intensive using quantum mechanics (QM) methods, while experimental determination is often costly and time-consuming. Machine Learning (ML) offers a cost-effective and rapid alternative, enabling efficient predictions of HOMO-LUMO gap values across large data sets without the need for extensive QM computations or experiments. ML models facilitate the screening of diverse molecules, providing valuable insights into complex chemical spaces and integrating seamlessly into high-throughput workflows to prioritize candidates for experimental validation.
View Article and Find Full Text PDFChannels (Austin)
December 2025
Biorheology Research Laboratory, Faculty of Health, Griffith University, Gold Coast, Australia.
The hallmarks of mechanosensitive ion channels have been observed for half a century in various cell lines, although their mechanisms and molecular identities remained unknown until recently. Identification of the bona fide mammalian mechanosensory Piezo channels resulted in an explosion of research exploring the translation of mechanical cues into biochemical signals and dynamic cell morphology responses. One of the Piezo isoforms - Piezo1 - is integral in the erythrocyte (red blood cell; RBC) membrane.
View Article and Find Full Text PDFJ Phys Chem B
September 2025
National Research Institute of Chinese Medicine, Ministry of Health and Welfare, Taipei 11221, Taiwan, ROC.
The synthesis of -tetrakis(3,4,5-trimethoxyphenyl)porphyrin [HT(3,4,5-OCH)PP] and cobalt(II) -tetrakis(3,4,5-trimethoxyphenyl)porphyrin [Co(T(3,4,5-OCH)PP)] has been successfully accomplished. The oxidation properties of [Co(T(3,4,5-OCH)PP)] have been assessed through UV-vis, NMR, and EPR techniques. It can be seen in the UV-vis spectrum that adding SbCl caused extra peaks to appear at 674 nm, which means that a π-cation radical was formed.
View Article and Find Full Text PDFCrit Care Sci
September 2025
Universitätsklinikum Carl Gustav Carus - Dresden, Sachsen, Germany.
The PROtective VEntilation (PROVE) Network is a globally-recognized collaborative research group dedicated to advancing research, education, and collaboration in the field of mechanical ventilation. Established to address critical questions in intraoperative and intensive care ventilation, the network focuses on improving outcomes for patients undergoing mechanical ventilation in diverse settings, including operating rooms, intensive care units, burn units, and resource-limited environments in low- and middle-income countries. The PROVE Network is committed to generating high-quality evidence through a comprehensive portfolio of investigations, including randomized clinical trials, observational research, and meta-analyses.
View Article and Find Full Text PDF