Medtech Industry Calls on All Stakeholders to Support Digital Health Interoperability Standards Specified by the European Commission

MedTech EuropeMedTech Europe released today a call to action towards digital health interoperability, endorsing the European Commission's Electronic Health Record Exchange Format released on 6 February 2019. The statement also called on European national and regional health authorities, payers and procurers, and adjacent industries, to do the same.

The largest medical technology industry trade association in Europe also asked for more public investment in digital health infrastructures including electronic health record systemsand requested the EU to tie cohesion and other funds for digital health to adherenceto these standards.

"With this initiative we contribute to a more widespread and accelerated digital health deployment in Europe," says Serge Bernasconi, CEO of MedTech Europe. "Patients will benefit from better interoperability of medical technologies through better quality of care and improved outcomes."

The call for action specifically references specifications and profiles released by DICOM (Digital Imaging and Communications in Medicine), HL7 (Health Level 7), and IHE (Integrating the Healthcare Enterprise). It invites adjacent industries to embrace an interoperable data ecosystem and open, international standards, and make data (sometimes called "real world data" or RWD) available to the healthcare sector.

"The interoperability of Electronic Health Records in the EU will make it easier for citizens to access their health data securely across borders" said Commissioner Mariya Gabriel, "and medical professionals will be able to assist citizens more efficiently and effectively. The development of these systems will require support from all stakeholders."

The paper titled "MedTech Europe's call to action for an interoperable data ecosystem for digital health" was released at the 2nd Health Tech Roundtable hosted by Commission Gabriel in Brussels, convening industry and consumer associations as well as many health technology companies for an informal discussion on ways to advance the digital transformation of health and care.

The paper can be downloaded from the MedTech Europe website.

About MedTech Europe

MedTech Europe is the European trade association for the medical technology industry including diagnostics, medical devices and digital health. Our members are national, European and multinational companies as well as a network of national medical technology associations who research, develop, manufacture, distribute and supply health-related technologies, services and solutions.

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...