Clinical Implementation
Clinical Implementation - Related Videos
08:46
Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
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Cited by 2 •
2015
Drug resistance to targeted therapeutics is widespread and the need to identify mechanisms of resistance--prior to or following clinical onset--is critical for guiding alternative clinical management strategies. Here, we present a protocol to couple derivation of drug-resistant lines in vitro with sequencing to expedite discovery of these mechanisms.
01:15
Nursing Implementation
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2023
Implementation is the execution of the nursing care plan developed during the planning phase. The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions. The first step is reassessing the client, a continuous process every time a nurse interacts with a patient, obtains new data,...
10:34
Designing and Implementing Nervous System Simulations on LEGO Robots
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Cited by 7 •
2013
An approach to neural network modeling on the LEGO Mindstorms robotics platform is presented. The method provides a simulation tool for invertebrate neuroscience research in both the research lab and the classroom. This technique enables the investigation of biomimetic robot control principles.
07:50
Establishment of a Clinic-based Biorepository
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Cited by 4 •
2017
Cutaneous tumors are often discarded following Mohs micrographic surgery. A protocol is described here that enables clinical support staff to effectively process and store cutaneous tumor (e.g., squamous cell carcinoma, basal cell carcinoma, and melanoma) samples for downstream laboratory applications without interfering with clinical operations.
09:52
A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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2025
Clinical metaproteomics offers insights into the human microbiome and its contributions to disease. We harnessed the computational power of the Galaxy platform to develop a modular bioinformatics workflow that facilitates complex mass spectrometry-based metaproteomic analysis and characterization of diverse clinical sample types relevant to studies of disease.
FAQs
Clinical implementation balances adaptation with fidelity: services can modify an intervention to fit local workflows, resources, clinical expertise, and patient needs, but must preserve its essential components. This balance helps distinguish practical tailoring from changes that may undermine the intervention. In neuroscience, it is especially relevant when translating research-based assessment, treatment, rehabilitation, or prevention approaches into routine care.
Organizational readiness influences whether a neurological intervention can move beyond a promising study. Readiness includes the setting’s available resources, provider expertise, workflow capacity, and willingness to adopt new practices. Considering these conditions early helps identify barriers, align training and procedures with the service, and improve the likelihood that adoption will be feasible and sustainable.
Evaluation determines whether an intervention remains effective when delivered through routine services rather than controlled research conditions. It can also show whether the approach is feasible for providers, suitable for patients, and sustainable across different clinical settings. These findings help distinguish an intervention that works under research conditions from one that can reliably improve neurological care in practice.
A plan begins by examining local patient needs, resources, expertise, workflows, and organizational readiness. Teams then adapt procedures without removing essential intervention components, train providers, and integrate the approach into existing services. Monitoring fidelity and evaluating effectiveness provide feedback about whether the intervention is being delivered as intended and producing useful outcomes in the clinical setting.
Provider training builds the clinical expertise needed to deliver an evidence-based approach within routine care. Fidelity monitoring then checks whether its essential components remain intact as staff apply it through local workflows. Together, these activities can reveal implementation barriers, support more consistent delivery, and clarify whether observed outcomes reflect the intervention rather than major differences in how it was provided.
In neuroscience, clinical implementation can guide the adoption of advances in neurological assessment, treatment, rehabilitation, and prevention. Its value extends beyond initial uptake because it examines whether these approaches remain effective, feasible, and sustainable across diverse services. This context helps connect laboratory and clinical findings with the practical conditions that shape patient care and outcomes.