Human-Centric Data Science for Innovations in Intelligent Healthcare and Remote Monitoring: Methods, Approaches and Technologies

Dear Colleagues,

In today's era of digital transformation, the convergence of data science and healthcare has led to significant advancements in intelligent healthcare systems and remote monitoring technologies. This Special Issue invites submissions exploring the intersection of human-centric data science and healthcare innovation, with a focus on methods, approaches, and technologies that prioritize the well-being and needs of patients and healthcare providers.

The proposed topic encompasses a broad spectrum of research areas within human-centric data science applied to healthcare. It seeks to explore innovative methodologies and technologies that leverage data science techniques to enhance healthcare delivery, promote patient-centered care, and facilitate remote monitoring solutions. Submissions are encouraged to address various aspects of human-centric data science, including, but not limited to, the following areas:

1. Patient-Centric Healthcare Delivery: It focuses on methods and technologies designed to empower patients and prioritize their needs in healthcare delivery systems. Research may include patient engagement strategies, shared decision-making tools, and personalized treatment approaches.
2. Intelligent Monitoring and Predictive Analytics: Submissions in this area explore the application of predictive analytics and machine learning algorithms in remote monitoring systems. Topics may include real-time health monitoring, predictive modeling for disease progression, and early detection of health issues.
3. Ethical Considerations in Healthcare Data Science: This area covers the ethical implications of using data science in healthcare settings. Papers may discuss privacy concerns, data security measures, and ethical guidelines for collecting and analyzing healthcare data while prioritizing patient confidentiality and autonomy.
4. Interpretability and Explainability in Healthcare AI: Submissions in this category focus on methods and techniques to enhance the interpretability and explainability of AI models used in healthcare. Topics may include model transparency, interpretability techniques for clinical decision support systems, and user-friendly interfaces for healthcare professionals.
5. Human–Computer Interaction in Healthcare Systems: This area explores the design and usability of human–computer interaction interfaces in healthcare applications. Research may include user-centered design approaches, interactive visualization tools for health data analysis, and usability studies in clinical settings.
6. Digital Health Technologies for Remote Monitoring: Submissions in this category investigate the role of digital health technologies in enabling remote monitoring solutions. Topics may include wearable devices, mobile health applications, telemedicine platforms, and Internet of Things (IoT) technologies for remote patient monitoring.
7. Data Quality and Reliability in Healthcare Analytics: This area examines methods to ensure data quality and reliability in healthcare analytics. Papers may discuss data preprocessing techniques, quality assessment methods for healthcare datasets, and strategies for mitigating bias and errors in healthcare data analysis.

This Special Issue welcomes original research articles, review papers, case studies, and perspective articles that contribute to advancing knowledge in human-centric data science for innovations in intelligent healthcare and remote monitoring. Submissions should demonstrate a clear relevance to the umbrella topic and provide novel insights, methodologies, or technologies that have the potential to impact healthcare practice and patient outcomes positively. This Special Issue aims to serve as a platform for disseminating cutting-edge research and fostering dialogue among researchers, practitioners, and policymakers in the fields of data science and healthcare. Accepted papers will undergo rigorous peer review by experts in the field to ensure scientific rigor and relevance to this Special Issue's scope.

Authors are encouraged to consider interdisciplinary approaches and collaborations that bridge the gap between data science, healthcare delivery, and patient-centered care. Submissions should adhere to this Journal's guidelines for manuscript preparation and formatting. Authors are invited to submit their manuscripts electronically through this Journal's online submission system. Detailed submission guidelines, including manuscript formatting requirements and submission deadlines, can be found on the Journal's website. For inquiries or further information, authors may contact the Editorial Office or Handling Editor ([email protected]). We look forward to receiving your contributions and fostering collaboration and innovation in human-centric data science for intelligent healthcare and remote monitoring.

Dr. Ayan Chatterjee
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net 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. Algorithms 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.

• human-centric data science
• healthcare innovation
• remote monitoring
• predictive analytics
• ethical considerations
• human–computer interaction
• digital health technologies
• data quality