The Andalusian Public Health System's New Regional Enterprise Imaging Platform has so far Saved a Million and a Half Euros

CarestreamCarestream recently held a meeting attended by representatives of the public health system of Andalusia, medical specialists and representatives of several autonomous Spanish communities. At the meeting, they shared the results of the new regional digital medical imaging system, the implementation of which was completed at the end of 2015, after 15 months of work.

According to the data provided, the public health system of Andalusia has saved €1,580,000 during the first 15 months of the project’s implementation and it is anticipated that in the coming years an annual saving of 65% will be achieved, compared with the costs of managing and maintaining medical images before the introduction of this system. Given these levels of savings, it is calculated that the investment of €6.7 million will pay for itself in only a little over two years (12.25).

The new system, based on the bilateral cooperation agreement between the Andalusian Health Service (SAS) and Red.es, within the Development of the Digital Public Health System in Andalusia and developed by the UTE (a joint venture between Carestream and Accenture), has allowed the digitisation and storage of more than 30 million radiology and nuclear medicine tests. Access to these is available to 16,000 physicians from the 80 public hospitals in Andalusia and 1,600 health centres throughout the Community. The system also allows those tests performed in subsidised private medical centres to be included.

"This project is a benchmark for other communities, both Spanish and European, since Andalusia is one of the largest regions in Europe, both in extent and number of citizens attending the SAS," stated Santos López, Director of Healthcare IT Business Development, Carestream Iberia.

In Andalusia nearly 10 million radiology and nuclear medicine diagnostic imaging tests are carried out each year. In addition to the savings and advantages for health professionals, the system brings significant benefits to more than 8.5 million Andalusians, as it ensures the same level of medical care can be provided to all citizens, regardless of where they live, and can help avoid the need to repeat tests.

For their part, physicians can access images in less time and from anywhere, analyse the results alongside the clinical history of the patients and consult doctors from other hospitals or health centres.

Investment and other project data
Investment in the project amounted to more than €6.7 million and was based on the previous agreement between the Ministry of Industry, Energy and Tourism, through the public corporation, Red.es, with Andalusian Health Service in order to fulfill the objectives of the Digital Agenda for Spain, within the Digital Public Services Plan and the Health and Welfare Programme. Red.es has financed 80% through the Regional European Development Fund (ERDF) and the SAS the other 20%.

The necessary equipment and systems have been installed in two data centres, each with 1.4 petabytes of storage capacity, equivalent to 11,000 250GB personal computers. The number of radiology and nuclear medicine teams providing medical examinations amounts to 1,345.

Related news articles:

About Carestream Health
Carestream is a worldwide provider of dental and medical imaging systems and IT solutions; X-ray imaging systems for non-destructive testing; and advanced materials for the precision films and electronics markets - all backed by a global service and support network.

CARESTREAM is a trademark of Carestream Health.

Most Popular Now

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...