Hybrid Conferencee

International Conference on Healthcare Data Analytics and Decision Support (ICHDADS - 26)

8th - 9th July 2026 | Toronto, Canada
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Toronto. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Toronto event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Toronto conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Toronto, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Toronto."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICHDADS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Analytics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Healthcare data analytics for decision support
02
Impact of big data on healthcare outcomes
03
Predictive modeling in healthcare settings
04
Data privacy in healthcare analytics
05
Telemedicine and data analytics integration
06
Patient engagement through data insights
07
Challenges in healthcare data management
08
Real-time analytics for patient care
09
Case studies of successful healthcare analytics
10
AI applications in healthcare decision making
11
Data interoperability in healthcare systems
12
Healthcare policy impacts on data usage
13
Ethics of data in healthcare research
14
Data-driven strategies for healthcare improvement
15
Collaboration between healthcare and technology
16
Future of healthcare analytics technologies
17
Impact of social determinants on health data
18
Healthcare analytics for operational efficiency
19
Data visualization in healthcare reporting
20
Role of analytics in public health initiatives