Search results for: 'analytics market'

01 Jun 2020  |  North America  |  Market Research

Growth Opportunities in Artificial Intelligence and Analytics in Surgery, 2020

Landscape and Opportunity Assessment in an Emerging Area

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Artificial intelligence (AI) and analytics technologies are now being well accepted in healthcare, with bellwether clinical application areas (e.g., radiology), and operational application areas (e.g., revenue cycle management). One area of the hospital that perhaps needs the most attention, is the hospital operating room (OR). The OR is a hospital...

23 Aug 2019  |  Global  |  Market Outlook

Global Digital Health Outlook, 2020

Artificial Intelligence, Care Coordination, Cybersecurity, Data Analytics, Digital Therapeutics, and Telehealth Will Drive the Market

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This study predicts the ways that artificial intelligence, care coordination cybersecurity, data analytics, digital therapeutics, and telehealth will drive the digital health market in 2020. The report presents 9 predictions that are likely to prevail by 2020. Frost & Sullivan defines digital health as the application of data to the delivery of hea...

26 Dec 2017  |  Latin America  |  Market Research

PACS and Integrated PACS Market Assessment in Brazil, Forecast to 2021

SaaS Models, Integrated Analytics Tools on the Rise, Further Advancing Market Maturity

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Brazil currently spends over $80 million on PACS and integrated PACS systems, considering only the software involved. The overall penetration is increasing, although adoption varies significantly among geographical regions and by the size of institutions. While large-size hospitals and diagnostic centers are almost fully penetrated and are almost e...

17 Dec 2020  |  North America  |  Market Research

Advanced Analytics and Integrated Sensors Transforming the US and Western European Next-Gen Patient Safety Solutions Market

Growth Strategies Driven by Increasingly Advanced and Integrated Tools

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Patient safety is the cornerstone of high-quality healthcare and depends upon procedures linked to the detection, prevention, reduction, documentation, and evaluation of errors that otherwise can lead to adverse events, both preventable and non-preventable. Beyond the high volume or morbidity and mortality associated with patient safety adverse ev...

The discovery of new drug targets for diseases with unmet medical needs has long been hindered by the complexity of processing and interpreting massive volumes of biological data. The increasing volume and veracity of clinical and research data compels the use of enabling tools and technologies, such as cloud computing, AI, machine learning, natura...

Digital Twin technology, or the application of predictive analytics to fields as diverse as manufacturing and space science, is now being considered in the context of healthcare. The attraction is obvious: if one can develop a computer model of a patient, perhaps one can test treatments on the model before applying them to the individual. Rather t...

Computed tomography, X-ray radiography, and magnetic resonance imaging have been invaluable tools in disease diagnosis and treatment efficacy assessments, but the practice of manual viewing and grading medical images to identify abnormalities is time-consuming and can delay diagnosis for critical patients. Intelligent imaging analysis systems that...

A digital biomarker refers to measurable data about physiological functions or behaviors collected through digital devices and technologies, such as wearables, implants, ingestible sensors, smartphones, and mobile applications. These biomarkers provide continuous, real-time insights into an individual’s health status and are used to monitor normal ...

The global POCT market is rapidly evolving from standalone rapid diagnostics to connected, AI-enabled clinical intelligence ecosystems that support decentralized healthcare delivery. Growth is driven by the increasing demand for faster clinical decision-making, early disease detection, personalized treatment, and expanded access to testing across h...