How real-time data management is revolutionizing healthcare

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Medical data flows continue to increase exponentially thanks to the influx of information from sensors and medical equipment. This has made the processing of clinical data increasingly complex. Electronic health records, medical imaging systems and clinical research databases generate large amounts of data, which presents a formidable challenge for healthcare professionals who need management, accuracy and effective data security.

Today, data analytics and self-learning artificial intelligence (AI) models have revolutionized the way we manage, analyze, and use data across industries. The healthcare industry is one where real-time data management and analytics are making great strides.

To meet the growing challenges of medical data management, the industry is moving towards a patient-centric and data-driven approach, where real-time data management plays a crucial role in facilitating patient services. patients and support medical research.

Real-time health data management uses historical and real-time data to predict trends, uncover actionable insights, drive medical advances, and fuel long-term growth. Real-time data access and analysis is essential for healthcare professionals to provide better patient care and enable medical breakthroughs.

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Implemented correctly, real-time data management can bring significant benefits, including reduced treatment costs, a complete understanding of patients and their conditions, and optimized workflows.

Real-time data management and analysis can dramatically improve quality of care by improving clinical workflows. Currently, the healthcare industry primarily analyzes clinical or billing data that is months old to find ways to improve future care. In contrast, real-time data allows providers to influence the clinical encounter as it unfolds.

Healthcare facilities are embracing real-time data analytics to reduce unnecessary expenses related to inefficient inventory management, patient care, and staff deployment.

"Harnessing real-time data can allow a clinician to ask better questions and take a comprehensive history, write comprehensive notes for the care team to review, and also take better clinical decisions that impact the patient's health trajectory," Dr. Shiv Rao, co-founder and CEO of medical AI platform Abridge, told VentureBeat.

Abridge’s AI for Medical Conversations ambiently “listens” to doctor-patient conversations and generates draft notes and structured data in real time.

"This data can be fed back into the EMR [electronic medical record], allowing clinicians not only to be relieved of documentation, but also [of] other aspects of their cli...