Background: Continuous improvement is based on fostering practitioners' suggestions to modify their own work processes This improvement strategy is widely applied in healthcare but difficult to maintain. The cross-disciplinary nature of many care processes constitutes an extra impediment.
Methods: The study had an explorative design with a qualitative single-case approach. The case presents a project to improve the treatment of patients with thrombotic stroke. Data was obtained via hands on involvement, documents, observations, and interviews with participants in a cross-functional improvement group. A thematic analysis method was employed.
Results: Through learning how tasks were carried out in other disciplines, the participants developed a common understanding of why it took so long to provide treatment to stroke patients. These insights were used to implement practical changes, leading to immediate improvements in stroke care delivery. The results were fed back so that successes became visible. Participants' understandings of the local context enabled them to convince peers of the rationale of changes, setting in motion a permanent improvement structure. The participants considered that mapping and then assessing the entire workflow across disciplines were relevant methods for improving the quality of patient care.
Conclusion: Starting an improvement project in a cross disciplinary environment requires deep engagement on the part of professionals. A quintessential prerequisite is therefore the realization that the quality of care depends on cross-disciplinary cooperation. A facilitated learning arena needs to (1) create insights into each other's colleagues' tasks and process interdependencies, (2) increase understanding of how the distribution of tasks among specialist units affects the quality of care, and (3) frequently report and provide feedback on results to keep the process going.
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http://dx.doi.org/10.1186/s12913-024-11327-y | DOI Listing |
Sci Rep
December 2024
Department of Informatics, University of Hamburg, Hamburg, Germany.
Central to the development of universal learning systems is the ability to solve multiple tasks without retraining from scratch when new data arrives. This is crucial because each task requires significant training time. Addressing the problem of continual learning necessitates various methods due to the complexity of the problem space.
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December 2024
Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, 03680, Kyiv, Ukraine.
The integration of Electric Vehicles (EVs) into power grids introduces several critical challenges, such as limited scalability, inefficiencies in real-time demand management, and significant data privacy and security vulnerabilities within centralized architectures. Furthermore, the increasing demand for decentralized systems necessitates robust solutions to handle the growing volume of EVs while ensuring grid stability and optimizing energy utilization. To address these challenges, this paper presents the Demand Response and Load Balancing using Artificial intelligence (DR-LB-AI) framework.
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December 2024
Civil Engineering Department, Shoolini University, Solan, Himachal Pradesh, 173229, India.
Geopolymer concrete (GPC) offers a sustainable alternative by eliminating the need for cement, thereby reducing carbon dioxide emissions. Using durable concrete helps prevent the corrosion of reinforcing bars and reduces spalling caused by chemical attacks. This study investigates the impact of adding 5, 10, and 15% silica fumes (SF) on the mechanical and durability properties of GPC cured at 60 °C for 24 h.
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December 2024
State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai, 200092, China.
Heavy metals complexed with organic ligands are among the most critical carcinogens threatening global water safety. The challenge of efficiently and cost-effectively removing and recovering these metals has long eluded existing technologies. Here, we show a strategy of coordinating mediator-based electro-reduction (CMBER) for the single-step recovery of heavy metals from wastewater contaminated with heavy metal-organic complexes.
View Article and Find Full Text PDFHere we report results of a phase 1 multi-institutional, open-label, dose-escalation trial (NCT02744287) of BPX-601, an investigational autologous PSCA-directed GoCAR-T® cell product containing an inducible MyD88/CD40 ON-switch responsive to the activating dimerizer rimiducid, in patients with metastatic pancreatic (mPDAC) or castration-resistant prostate cancer (mCRPC). Primary objectives were to evaluate safety and tolerability and determine the recommended phase 2 dose/schedule (RP2D). Secondary objectives included the assessment of efficacy and characterization of the pharmacokinetics of rimiducid.
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