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Interdisciplinary Care: The Health Care Team-I01:21

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An interdisciplinary team includes many healthcare professionals working together and utilizing their skills, knowledge, and expertise to provide holistic and quality patient care.
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Managing big data in clinical research is crucial. New technologies integrate fragmented data, improving personalized medicine through artificial intelligence and comprehensive health records.

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Area of Science:

  • Health Informatics
  • Clinical Data Management
  • Artificial Intelligence in Medicine

Background:

  • Clinical research has expanded, generating vast datasets for review.
  • Data completeness is challenged by fragmented reporting, provider changes, and lost follow-up.
  • Existing data limitations hinder comprehensive analysis and personalized medicine.

Purpose of the Study:

  • To review current advancements in managing big data in clinical research.
  • To highlight technologies addressing data fragmentation and incompleteness.
  • To discuss the role of integrated data and AI in personalized medicine.

Main Methods:

  • Review of emerging technologies for data integration.
  • Analysis of methods for tracking health records and claims data.
  • Exploration of artificial intelligence applications in clinical data analysis.

Main Results:

  • New technologies are emerging to link disparate health care systems' records.
  • Medicare claims data tracking offers a method to improve data continuity.
  • AI can efficiently extract clinical and genomic data for personalized treatment.

Conclusions:

  • The future of healthcare relies on integrated data systems and AI.
  • Effective big data management is essential for advancing personalized medicine.
  • Technological solutions are key to overcoming data fragmentation in clinical research.