InferMed Announces successful collaboration with Siemens

InferMed Ltd, the leading global provider of advanced decision support and data capture solutions for clinical research and practice, today announced that they have successfully completed the first year of study in conjunction with Siemens AG and researchers at the Technical University of Munich that enables an immediate, scalable method of automatically transferring data from an EMR to an EDC system, reducing lag time and greatly increasing efficiency.

Historically, the capture of clinical trial data has been labour intensive and error-prone, requiring data to be manually transcribed into a paper case report form or, more recently, entered manually into Internet-based data capture systems. This innovative solution from InferMed and Siemens offers a scalable, automatic transfer of data between the electronic medical record system and MACRO® EDC from InferMed thereby overcoming interoperability challenges previously associated with systems that operate on different technical platforms or work from within distinct business environments.

The pilot implementation was designed at the Technical University of Munich's Frauenklink to create an automatic electronic data transfer platform for two studies focusing on women's health. One of the studies was to evaluate the effectiveness of the various types of chemotherapy on women with breast cancer. The second study was to evaluate the diagnostic value of the use of motion correction algorithms on magnetic resonance imaging (MRI). By using this highly flexible solution, clinicians and research staff were able to automatically view, retrieve and disseminate clean data, while reducing the effort of manually collecting and entering trial data.

Preliminary results of the study show an increase of efficiency for all involved parties. Those improvements include quality improvement resultant from interfaces to all data demonstrating improved data quality and integrated processes leading to improved process quality.

The Technical University of Munich's Medical Center has proved attractive for both researchers and trial sponsors leading to greater numbers of such trials and therefore increased population results, all of which ultimately leads to improved patient care due to the many high-quality trials being conducted there.

Professor Harbeck, Principal Investigator at The Frauenklink commented that "The Technical University of Munich's academic medical center benefits greatly from using data from our existing clinical information system for clinical trial activities and we will continue to explore and use all relevant data sources at the medical center to support our clinical research activities. Complying with national and international data safety regulations, external clinical trial sponsors can now access higher quality data more quickly and in an electronic format."

"Having a solution that significantly improves study efficacy whilst enabling real-time data availability for clinical trial sites can only serve to revolutionise study management" said Duane Lawrence, CEO InferMed Ltd. He continued "enabling adaptive mid-trial alterations and ensuring consistency across study sites will eventually yield more timely and accurate outcomes. We are extremely proud to be part of this innovative solution that will ultimately benefit more timely and personalised patient care."

Dr. Gudrun Zahlmann, the project lead from Siemens AG, Healthcare sector said that "This innovative solution has proven to be efficient in reducing the time effort of the study nurses for data documentation to one third compared to the old paper-based process. All clinical trial related data is available within 24 hours in a high quality, clean format and in accordance with the regulatory requirements. We have found two highly motivated and very reliable partners in the Frauenklinik of the Technical University Munich and in InferMed Ltd. This relationship together with the innovative and challenging solution made this pilot a success. This could prove to be the blueprint for the overall EHR – EDC integration for clinical trials."

About InferMed Ltd
Formed in 1999 InferMed is the leading global provider of advanced decision support and data capture solutions for clinical research and practice. InferMed offers a range of highly innovative software solutions for collecting and managing data. Through both their MACRO EDC application and Arezzo® decision support technology, InferMed’s products are designed to improve patient outcomes and deliver personalised drug and other therapies to healthcare providers. For more information visit www.infermed.com.

About The Technical University of Munich
The Technical University of Munich's Rechts der Isar hospital serves Munich and the world with a highly skilled team of dedicated doctors, nurses, research scientists, and technical assistants. With a workforce of over 3,700 personnel, the University hospital is a renowned center for the care of the sick, for medical research, and for the teaching of medicine. Rechts der Isar comprises more than 31 separate clinics and departments treating some 45,000 inpatients and 160,000 outpatients annually. Its department of obstetrics and gynecology, under the guidance of Prof. Dr. Marion Kiechle and her team is a certified breast center and is heavily involved in clinical research and clinical trials to bring innovative procedures to the patient, such as uPA/PAI measurements for chemotherapy decision support.

A 1,100-bed hospital, Rechts der Isar covers the entire spectrum of modern medicine with state-of-the-art efficiency. Through the close cooperation between healthcare and research, the latest advances in medical techniques can be quickly integrated into patient treatment procedures.

About Siemens Healthcare
Siemens Healthcare is one of the world's largest suppliers to the healthcare industry. The company is a renowned medical solutions provider with core competence and innovative strength in diagnostic and therapeutic technologies as well as in knowledge engineering, including information technology and system integration. With its laboratory diagnostics acquisitions, Siemens Healthcare will be the first fully integrated diagnostics company, bringing together imaging and lab diagnostics, therapy, and healthcare information technology solutions, supplemented by consulting and support services. Siemens Healthcare delivers solutions across the entire continuum of care - from prevention and early detection, to diagnosis, therapy and care. The company employs more than 49,000 people worldwide and operates in 130 countries. In the fiscal year 2007 (Sept. 30), Siemens Healthcare reported sales of €9.85 billion (on a pro forma basis including Dade Behring roughly €11 billion), orders of €10.27 billion, and group profit of €1.32 billion. Further information can be found by visiting http://www.siemens.com/healthcare.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...