Special Report: Enterprise Imaging

In the digital age, healthcare, like so many other sectors, has become information-intensive. To seamlessly share this information, healthcare organizations need a solution that spans department, facility and even geographical boundaries. By bringing down the borders to interoperability, they can create opportunities to improve efficiency, productivity, decision making and patient care.

Agfa HealthCare shares this vision for healthcare. As the imaging expert, we see the importance to the healthcare providers of feature-rich, easy access to integrated, patient-centric medical imaging records. In our vision, clinical images from anywhere are available anytime to anyone involved in the patient's care.

We also know that adding clinical images to the patient record can increase the quality of diagnosis and the efficiency of treatment. But image-enabling the EMR isn't just about viewing, archiving and distribution. Instead it must combine all of these components into a single workflow, connecting departments and users.

In this Special Report on Enterprise Imaging, you'll hear from healthcare organizations that have implemented our ICIS enterprise imaging solution. They'll show you how it is supporting them to achieve their own healthcare visions and to meet the requirements and demands they face today, whether from carers, patients or national authorities.

You will hear from experts about how the healthcare model continues to evolve towards a more collaborative approach, and how IT can and is supporting this, offering a broader view of imaging.

Download: Special Report: Enterprise Imaging (.pdf, 4.120 KB).

Download from eHealthNews.eu Portal's mirror: Special Report: Enterprise Imaging (.pdf, 4.120 KB).

Most Popular Now

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...