JOURNAL OF CLINICAL MONITORING AND COMPUTING

Scope & Guideline

Advancing clinical knowledge through innovative monitoring technologies.

Introduction

Explore the comprehensive scope of JOURNAL OF CLINICAL MONITORING AND COMPUTING through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore JOURNAL OF CLINICAL MONITORING AND COMPUTING in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1387-1307
PublisherSPRINGER HEIDELBERG
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1997 to 2000, 2002, from 2004 to 2024
AbbreviationJ CLIN MONIT COMPUT / J. Clin. Monitor. Comp.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY

Aims and Scopes

The 'Journal of Clinical Monitoring and Computing' focuses on the integration of technology into clinical monitoring and anesthesia practices, emphasizing the importance of accurate measurement and innovative methodologies in improving patient care. The journal aims to disseminate cutting-edge research that enhances clinical outcomes through advanced monitoring techniques and computational approaches.
  1. Clinical Monitoring Technologies:
    The journal publishes research on various clinical monitoring devices, including non-invasive and invasive techniques that enhance patient safety and treatment efficacy.
  2. Anesthetic Depth Monitoring:
    A significant focus is on the development and validation of tools to monitor anesthetic depth, including EEG-based systems and indices that predict patient responses to anesthesia.
  3. Artificial Intelligence and Machine Learning:
    Research on the application of AI and machine learning methods for predicting clinical outcomes, optimizing monitoring processes, and improving decision-making in anesthesia and critical care.
  4. Hemodynamic Monitoring:
    The journal covers advancements in hemodynamic monitoring, including novel techniques for assessing cardiac output, blood pressure, and fluid responsiveness in various surgical contexts.
  5. Postoperative Care and Outcomes:
    Research addressing the implications of monitoring technologies on postoperative care, including pain management, recovery trajectories, and the prediction of complications.
  6. Innovative Monitoring Approaches:
    The journal emphasizes innovative methodologies in monitoring, such as wearable technologies, remote monitoring systems, and the integration of real-time data analysis into clinical practice.
The 'Journal of Clinical Monitoring and Computing' has been increasingly focusing on several emerging themes that reflect the evolving landscape of clinical monitoring and anesthesia. These trends highlight the integration of advanced technologies and methodologies aimed at improving patient outcomes and safety.
  1. Wearable Monitoring Technologies:
    There is a growing trend towards the use of wearable devices for continuous monitoring of vital signs, allowing for real-time data collection and analysis in various clinical settings.
  2. Artificial Intelligence Applications:
    The incorporation of AI in clinical monitoring is on the rise, with studies exploring its potential in predicting adverse events, automating monitoring processes, and enhancing decision-making.
  3. Patient-Centered Outcomes:
    Research increasingly emphasizes patient-centered outcomes, focusing on how monitoring technologies can improve recovery experiences and reduce postoperative complications.
  4. Integration of Big Data and Analytics:
    The journal is seeing more studies that utilize big data analytics to enhance monitoring practices, leading to improved predictive capabilities and tailored patient management.
  5. Multimodal Monitoring Approaches:
    There is a trend towards multimodal monitoring, combining various technologies and techniques to provide a comprehensive view of patient status and improve clinical decision-making.
  6. Remote and Telemonitoring:
    The COVID-19 pandemic has accelerated interest in remote monitoring solutions, with studies focusing on telemonitoring strategies to manage patients in outpatient settings or during recovery.

Declining or Waning

While the journal continues to explore a wide array of topics, certain themes appear to be declining in prominence, reflecting shifts in clinical focus and technological advancements. These waning areas may signal a transition towards more innovative and effective practices in clinical monitoring and anesthesia.
  1. Traditional Invasive Monitoring Techniques:
    There is a noticeable decline in the publication of studies focused solely on traditional invasive monitoring techniques, as more emphasis is placed on non-invasive and continuous monitoring methods.
  2. Basic Physiological Monitoring:
    Research focusing on basic physiological parameters without advanced analytical techniques is becoming less common, as the field shifts towards more sophisticated and data-driven approaches.
  3. General Anesthesia Practices:
    Studies that merely describe general anesthesia practices without introducing new monitoring technologies or methodologies are less frequently published, indicating a move towards more innovative research.
  4. Static Monitoring Methods:
    The journal is seeing fewer articles on static monitoring methods, with a shift towards dynamic and continuous monitoring that provides real-time data to clinicians.
  5. Single-Center Studies:
    There is a reduction in the number of single-center studies, as the journal encourages more multicenter collaborations to validate findings and improve generalizability.

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