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CARDIOVASCULAR INFORMATION SYSTEM MARKET ANALYSIS

Cardiovascular Information System Market, By Deployment (Cloud Based and On-Premise), By Component (Hardware, Software, and Services), By Application (Catheterization, Echocardiography, Electrocardiogram, Electrophysiology, and Others), By End User (Hospitals, Clinics, Cardiac Cath lab, Ambulatory Surgical Centers, and Diagnostic Centers), By Geography (North America, Latin America, Asia Pacific, Europe, Middle East, and Africa)

  • Published In : Jun 2024
  • Code : CMI20
  • Pages :175
  • Formats :
      Excel and PDF
  • Industry : Healthcare IT

Key Developments

  • On 17 June 2024, Cathtivity, a healthcare technology startup, is currently pursuing strategic investors, partnerships, and acquisition opportunities to advance its Cardiovascular Information System (CVIS). This phase aims to transition Cathtivity from a promising minimum viable product to a comprehensive, cloud-based application, significantly enhancing its functionality and expanding its market presence.
  • On 11 June 2024 Philips health technology company has launched the Cardiac Workstation in Europe, the Middle East, and Africa, a cutting-edge platform for cardiac care. It enhances clinical decision-making by utilizing advanced algorithms to access, analyze, and manage electrocardiograph (ECG) data either remotely or at the point of care. This technology builds on traditional cardiographs, aiming to streamline data collection and reduce administrative tasks, thereby enabling healthcare teams to focus more on direct patient care.
  • In September 2022, GE Healthcare, American multinational medical technology company has introduced the Optima IGS 320, its first 'Made in India', 'AI-powered' Cath lab aimed at enhancing cardiac care in India. Produced at Wipro GE Healthcare's new Bengaluru factory under the PLI scheme, this Cath lab utilizes GE's AutoRight technology, driven by the Edison platform. AutoRight employs AI through a neural network to optimize image and dose parameters in real time, allowing clinicians to prioritize patient care with greater efficiency and precision.

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