eHealth Terminal from SCM Microsystems Approved for German eHealth Card Program

SCM Microsystems, Inc.SCM Microsystems, Inc. (NASDAQ: SCMM, Prime Standard: SMY), a leading provider of solutions that open the Digital World, announced today that its eHealth200 BCS terminal has been approved by the gematik - the German healthcare organization overseeing the implementation of Germany's eHealth card program.

Beginning in October, SCM's eHealth terminals will be available in significant volumes for general practitioners, pharmacists, hospitals and other healthcare providers - just in time for the start of the rollout of the electronic health card, a program that is expected to include up to 82 million German citizens.

"SCM Microsystems continues to demonstrate technology leadership in developing secure terminals for the electronic health card program in Germany. We have continued to partner closely with gematik and the healthcare industry to develop and refine terminal specifications, ensuring that relevant medical data can be rapidly accessed while sensitive patient records are protected. Our eHealth200 BCS termimal is a device that also protects the investment of healthcare providers, as it addresses both current and future program requirements," said Dietmar Wendling, vice president eGovernment of SCM Microsystems.

The eHealth200 BCS terminal is an advanced version of SCM's eHealth100 terminal, which has been in wide use in field trials since 2006. It adheres to the "eHealth BCS" specifications of the gematik, which stipulate that the terminals must comply to the strict security requirements of the BSI. Not only must the devices work in the initial, offline environment within each healthcare facility, but they also must be firmware upgradable to operate within the planned "telematiks" structure that will eventually link all healthcare providers in Germany within a common network. This is a critical component of Germany's electronic health card program, as additional and extended applications will be dissiminated to healthcare providers through the tekematiks network. SCM's eHealth200 BCS terminal can be used throughout all stages of implementation of the electronic health card in Germany, as the program evolves and changes. In addition to the health insurance card (KVK) currently used in Germany, the eHealth200 BCS also reads the soon-to-be-deployed electronic health card. Furthermore, the terminal works with the health professional card (HPC), which allows every professional in the healthcare sector to securely access and edit patient data; and the Secure Module Card (SMC) in ID-000 format for secure data communication.

Based on the agreement of German health insurance companies and the National Association of Statutory Health Insurance Physicians, purchases of the terminals will be subsidized for approved general practitioners and care providers.

Related news articles:

About SCM Microsystems
SCM Microsystems is a leading provider of solutions that open the Digital World by enabling people to conveniently access digital content and services. The company develops, markets and sells the industry’s broadest range of contact and contactless smart card reader technology for secure PC, payment systems, network and physical access, and digital media readers for transfer of digital content to OEM customers in the government, financial, enterprise, consumer electronics and photographic equipment markets worldwide. Global headquarters are in Ismaning, Germany. For additional information, visit the SCM Microsystems web site at www.scmmicro.com.

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...