Clinical Monitoring
Clinical Monitoring - Related Videos
09:54
A Model to Simulate Clinically Relevant Hypoxia in Humans
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Cited by 1 •
2016
Hypoxia simulation in humans has usually been performed by inhaling hypoxic gas mixtures. For this study, apneic divers were used to simulate dynamic hypoxia in humans. Additionally, physiological changes in desaturation and re-saturation kinetics were evaluated with non-invasive tools such as Near-Infrared-Spectroscopy (NIRS) and peripheral oxygenation saturation (SpO2).
05:58
Application of an Amplitude-integrated EEG Monitor (Cerebral Function Monitor) to Neonates
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Cited by 28 •
2017
Here, we show how to apply amplitude-integrated electroencephalography to monitor cerebral function in neonates.
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.
14:37
Accessibility to Clinical Care for People who use Wheelchairs
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2023
Source: Yetsa Tuakli-Wosornu1,2, Jaideep Talwalkar1; 1Yale School of Medicine, 2University of Pittsburgh In the United States, 25% of the general population suffers from one or another type of disability. Ambulatory disabilities, or mobility impairments, represent the most common subcategory, comprising 14% of the country's populace. Different mobility-assistive devices, ranging from canes to scooters, enable increased independence and improved quality of life for those suffering from mobility...
05:28
Clinical Imaging of Microwave Mammography
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2025
This protocol describes the imaging procedure of a microwave imaging device for breast imaging.
FAQs
Comparing current findings with baseline reveals whether a patient’s condition is changing rather than simply describing one moment. Trends in temperature, oxygen status, white blood cell counts, inflammatory markers, pathogen tests, or immune responses can show emerging deterioration, treatment response, or possible treatment effects. This longitudinal comparison supports more individualized decisions than relying on an isolated result.
Interpretation depends on the combined pattern and timing of repeated observations. Changes in symptoms, oxygen status, inflammatory markers, pathogen tests, and antibody or cellular immune responses may indicate different aspects of the host-pathogen interaction. Reviewing these measures together helps clinicians assess whether findings are more consistent with worsening disease, immune activation, therapeutic response, or adverse effects.
Pathogen tests provide information about the infectious process, whereas antibody or cellular immune responses provide information about how the patient’s immune system is responding. Following both over time gives a broader view than either category alone. In immunology and infection, this combination can help relate microbial findings to host responses and clarify how disease or therapy is evolving.
The monitoring plan may include repeated assessment of temperature, symptoms, oxygen status, white blood cell counts, inflammatory markers, pathogen tests, and antibody or cellular immune responses. These measures address clinical condition, laboratory evidence, pathogen-related findings, and immune activity. Selecting and comparing them over time helps connect observable changes with disease progression or treatment response.
Clinicians compare serial clinical findings, laboratory results, pathogen tests, and immune measurements with the patient’s baseline to judge whether therapy is producing the intended response. The same process can reveal deterioration or adverse effects that require attention. This supports treatment decisions tailored to the individual rather than decisions based only on a single pre-treatment or follow-up measurement.
A practical workflow begins with establishing baseline signs, symptoms, laboratory results, and relevant immune or pathogen measurements. Clinicians then repeat selected assessments, compare new findings with earlier results, and interpret the direction and combination of changes. The resulting longitudinal picture guides decisions about disease status, treatment response, possible adverse effects, and the need for continued assessment.
Longitudinal monitoring generates data that connect clinical changes with laboratory, pathogen, and immune findings across time. Researchers can use these patterns to improve understanding of host-pathogen interactions and to evaluate how antimicrobial or immunomodulatory therapies affect patients. Repeated observations also preserve the sequence of disease and treatment-related changes, which isolated measurements cannot provide.