Clinical Workflow Adaptation

Clinical workflow adaptation is the systematic modification of healthcare processes, roles, and information pathways to accommodate new technologies, changing clinical needs, or operational constraints. In bioengineering, adaptation typically involves mapping the existing workflow, identifying bottlenecks and points of failure, then redesigning procedures, device interfaces, data exchange, and user responsibilities while evaluating effects on safety, efficiency, and usability. This approach supports the integration of diagnostic tools, medical devices, digital health systems, and engineered therapies into routine care. By aligning technical innovations with clinical practice, workflow adaptation can improve implementation, reduce disruption, and generate evidence for effective, sustainable healthcare delivery.

Clinical Workflow Adaptation - Related Videos

Research

JoVE Journal - Bioengineering
Free Sample

Generating Whole Bacterial Genomes from Clinical Samples using a Target Enrichment Workflow

0 Views •

Cited by 1 •

2025

Here, we present a protocol to enable whole-genome sequencing of bacterial sexually transmitted infections from clinical samples using target enrichment. This novel, syndromic panel-based method overcomes challenges of abundant human DNA and low bacterial loads, facilitating genomic surveillance for Chlamydia trachomatis, Neisseria gonorrhoeae, Treponema pallidum, and Mycoplasma genitalium.

Research

JoVE Journal - Medicine

Adaptation of Semiautomated Circulating Tumor Cell (CTC) Assays for Clinical and Preclinical Research Applications

0 Views •

Cited by 11 •

2014

Circulating tumor cells (CTCs) are prognostic in several metastatic cancers. This manuscript describes the gold standard CellSearch system (CSS) CTC enumeration platform and highlights common misclassification errors. In addition, two adapted protocols are described for user-defined marker characterization of CTCs and CTC enumeration in preclinical mouse models of metastasis using this technology.

Research

JoVE Journal - Medicine
Free Sample

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

0 Views •

Cited by 27 •

2014

Adaptive deep brain stimulation (aDBS) is effective for Parkinson’s disease, improving symptoms and reducing power consumption compared to conventional deep brain stimulation (cDBS). In aDBS we track a local field potential biomarker (beta oscillatory amplitude) in real time and use this to control the timing of stimulation.

Research

JoVE Journal - Medicine
Free Sample

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

0 Views •

Cited by 2 •

2011

We are developing a dynamic adaptive exposure technique using our scanning beam digital X-ray system. Rather than exposing an object uniformly, the exposure is adapted depending on the opacity of the object. Here we show an experiment on an anthropomorphic phantom that resulted in a dose saving of 30%.

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

0 Views •

Cited by 4 •

2023

The protocol shows a prototype of the at-home multi-modal data collection platform that supports research optimizing adaptive deep brain stimulation (aDBS) for people with neurological movement disorders. We also present key findings from deploying the platform for over a year to the home of an individual with Parkinson's disease.

View All Results

FAQs

Related Topics