JCO Clinical Cancer Informatics

Scope & Guideline

Unlocking the potential of cancer data for better health outcomes.

Introduction

Welcome to the JCO Clinical Cancer Informatics information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of JCO Clinical Cancer Informatics, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN2473-4276
PublisherLIPPINCOTT WILLIAMS & WILKINS
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2017 to 2024
AbbreviationJCO CLIN CANCER INFO / JCO Clin. Cancer Info.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTWO COMMERCE SQ, 2001 MARKET ST, PHILADELPHIA, PA 19103

Aims and Scopes

JCO Clinical Cancer Informatics focuses on advancing cancer care through the integration of informatics, data science, and technology. The journal emphasizes the use of innovative methodologies to enhance patient outcomes, streamline clinical processes, and improve research in oncology.
  1. Natural Language Processing (NLP) Applications:
    A significant portion of the journal's articles explores the use of NLP to extract clinical information from unstructured data sources, facilitating the analysis of patient records and enhancing decision-making in oncology.
  2. Machine Learning and Artificial Intelligence in Oncology:
    Research frequently employs machine learning and AI techniques to predict patient outcomes, optimize treatment protocols, and develop personalized care strategies, highlighting the journal's commitment to cutting-edge technology.
  3. Real-World Data Utilization:
    The journal emphasizes the importance of real-world data in understanding treatment effectiveness, patient experiences, and health disparities, showcasing studies that leverage electronic health records and other data sources.
  4. Patient-Centered Outcomes and Experiences:
    A core focus is on understanding and improving patient-centered outcomes through the analysis of patient-reported outcomes, patient experiences, and engagement in their care processes.
  5. Innovations in Clinical Decision Support Systems:
    The journal explores developments in clinical decision support tools that utilize informatics to assist healthcare providers in making evidence-based decisions for cancer treatment.
The journal is witnessing a rise in several key themes that align with current advancements in technology and an increasing focus on patient-centered approaches. These emerging scopes reflect the evolving landscape of cancer informatics.
  1. Integration of Digital Health Tools:
    There is a growing interest in the development and evaluation of digital health tools, such as mobile applications and telehealth platforms, which aim to enhance patient engagement and remote monitoring.
  2. Advanced Predictive Analytics:
    The trend towards using advanced predictive analytics, including AI and machine learning, is gaining momentum as researchers seek to improve prognostic models and treatment recommendations.
  3. Health Disparities and Equity in Cancer Care:
    An increasing number of studies focus on health disparities and the impact of social determinants on cancer outcomes, emphasizing the need for equitable approaches in research and clinical practice.
  4. Patient-Reported Outcomes Integration:
    The integration of patient-reported outcomes into clinical decision-making is becoming more prevalent, highlighting the importance of patient experiences and preferences in treatment plans.
  5. Interoperability and Data Sharing:
    Emerging themes include the need for improved interoperability between systems and data-sharing initiatives that enhance collaborative research and clinical care across institutions.

Declining or Waning

While JCO Clinical Cancer Informatics has seen growth in various areas, certain themes appear to be declining in prominence. This trend reflects a shift towards more technologically advanced methodologies and a focus on patient-centered care.
  1. Traditional Statistical Methods:
    The reliance on conventional statistical methods for data analysis is decreasing as more researchers adopt machine learning and AI approaches, which offer enhanced predictive power and insights.
  2. Basic Laboratory Research:
    There is a noted decline in publications centered around basic laboratory research, as the journal increasingly focuses on applied informatics and technology-driven studies that directly impact clinical practice.
  3. General Health Policy Discussions:
    While health policy remains important, the focus on broad policy discussions without specific applications to informatics or technology in oncology has waned, giving way to more specialized research.

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