Advancements in Healthcare Data Science: Innovations, Challenges and Applications
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Biomedical Information and Health".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 1483
Special Issue Editor
Interests: artificial intelligence; smart healthcare; disease diagnosis; drug discovery; clinical decision support systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore the transformative impact of data science on healthcare, focusing on the latest innovations, challenges, and applications in the field. With the rapid evolution of healthcare technologies and the proliferation of healthcare data, data science has emerged as a powerful tool for revolutionizing healthcare delivery, improving patient outcomes, and enhancing clinical decision making. This Special Issue seeks to bring together cutting-edge research and practical insights from experts in academia, industry, and healthcare institutions to address key challenges, explore novel methodologies, and showcase successful applications of data science in healthcare settings.
Non-Exhaustive List of Contents for the Special Issue:
- Predictive Analytics for Disease Diagnosis: Focuses on the development and validation of predictive models using healthcare data for early disease detection, prognosis, and risk stratification.
- Personalized Medicine and Precision Healthcare: Explores personalized medicine approaches that leverage patient data, genomic information, and machine learning techniques to tailor treatments and interventions for individual patients.
- Drug Discovery and Development: Highlights innovative data science approaches for accelerating drug discovery, optimizing clinical trials, and repurposing existing drugs using computational methods and big data analytics.
- Clinical Decision Support Systems: Discusses the design, implementation, and evaluation of clinical decision support systems powered by artificial intelligence, natural language processing, and predictive analytics to assist healthcare providers in making evidence-based decisions.
- Healthcare Data Privacy and Security: Addresses the critical issues surrounding healthcare data privacy, security, and ethics, including data anonymization techniques, secure data sharing frameworks, and regulatory compliance in healthcare analytics.
- Telemedicine and Remote Monitoring: Examines the role of data science in enabling telemedicine platforms, remote patient monitoring systems, and virtual care delivery models for improving access to healthcare services and managing chronic conditions.
- Healthcare Data Visualization and Interpretation: Focuses on innovative data visualization techniques and interactive tools for interpreting complex healthcare data, communicating insights to stakeholders, and facilitating data-driven decision making in healthcare organizations.
- Case Studies and Applications: Features real-world case studies, success stories, and practical applications of data science in healthcare, showcasing the impact of data-driven approaches on patient care, population health management, and healthcare operations.
- Future Directions and Challenges: Discusses emerging trends, future directions, and unresolved challenges in healthcare data science, including opportunities for interdisciplinary collaboration, ethical considerations, and the adoption of innovative technologies in healthcare delivery.
Dr. Muneer Ahmad
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- predictive analytics
- personalized medicine
- clinical decision support systems
- drug discovery
- telemedicine
- remote monitoring
- healthcare data privacy
- data visualization
- machine learning
- artificial intelligence
- precision healthcare
- healthcare data security
- electronic health records
- population health management
- healthcare analytics
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