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Asklepios and Aidoc Set New Standard for Patient Care with Germany’s Most Comprehensive Radiology AI Deployment in the Private Hospital Sector


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Asklepios has successfully deployed Aidoc’s award-winning aiOS™ platform and is rolling it out to more than 25 hospitals to improve patient care across Germany.

Aidoc, a global clinical leader in AI, today announced a strategic partnership with Asklepios, which is the first private hospital operator in Germany to implement a centralised AI platform in radiology, significantly improving patient care across more than 25 hospital locations in what is now the country’s most comprehensive AI deployment in the private hospital sector. 

The goal of this innovative partnership is to deploy Aidoc’s aiOS™ platform across the hospital group’s radiology departments, supporting care teams with critical decision making and expediting patient treatment. This joint initiative also plays a key role in Asklepios’ broader digital transformation strategy under the Hospital Future Act (KHZG), which is committed to modernising the digital infrastructure of Germany’s healthcare system.1 The KHZG-funded project is being piloted at Asklepios sites in Hamburg-Altona, Hamburg-Wandsbek and Sylt, where Aidoc’s aiOS™ is already in successful use. A nationwide rollout is expected to be completed by the end of the year.

“As one of the largest healthcare providers in Germany with over 170 facilities, Asklepios is pursuing several key objectives with this comprehensive implementation: shortening the time between diagnosis and treatment, quality assurance in diagnostics and reducing the workload of our doctors,” explains Marco Walker, CEO at Asklepios Kliniken Group. “The aim is to provide our medical and nursing staff with targeted support in their daily work — with the right information at the right time,” says Walker.

“The AI project in radiology is the first externally visible part of the largest digitalisation project at Asklepios: the Health Data Hub, which is currently being developed in five different areas, and, as the group’s new central analysis platform, will positively change many work and decision-making processes in everyday clinical practice,” adds PD Dr. Sara Sheikhzadeh, Chief Medical Officer (CMO) at Asklepios. In the Health Data Hub, Aidoc’s AI software serves as a clinical decision support system (CDSS). The use of AI in radiology, for example, supports prognosis and risk assessments and generates recommendations for action. Staff then have more time for patient care. This relieves the burden on hospital staff, particularly during night shifts. “These measures are also a direct response to the increasing workload and the shortage of specialists in radiology,” says PD Dr. Sheikhzadeh.

“The collaboration with Aidoc on the technical concept, the integration of the AI technology into the day-to-day work of our radiology departments and the overall project work is going extremely well,” explains Nadine Vermeerbergen, Project Manager at Asklepios. “The successful pilot has shown us that Aidoc’s AI platform works seamlessly and reliably with our radiology systems ,” says Vermeerbergen. Together with her team at Asklepios IT, she’s now working on the rollout at 25 additional Asklepios clinics. The implementation of the platform at all Asklepios sites with their own radiology department is expected to be completed by the end of 2025.

How Aidoc’s AI Works in Radiology

The AI solution uses algorithms to automatically analyse all relevant CT and X-ray images in real time and flags suspected cases of urgent pathologies, such as strokes, cerebral haemorrhages, chest lesions and bone fractures for radiologists. In the case of strokes, the system also provides quantitative assessments to quickly evaluate early changes in blood vessels and identify the progression of infarcts. These additional insights are critical to making faster, data-driven treatment decisions, especially in high-pressure emergency rooms (ERs) and during night shifts.

“The AI helps us to identify and prioritise life-threatening diseases. It continuously analyses all relevant CT and X-ray images, informs us of suspected positive cases and enables us to prioritise the patients who need care most urgently,” says Prof. Dr. Roman Fischbach, Chief Physician of Radiology at Asklepios. “Beyond speeding up critical diagnoses, AI also helps to optimise radiology workflows by reducing the unnecessary call volume for radiologists, especially during nights and weekends. It enables emergency department teams to speed up patient discharge decisions,” says Prof. Fischbach.

Positive Experiences with Aidoc AI in Europe and the USA

Asklepios is building on proven AI successes that have already been achieved in European and U.S. hospitals. For example, a retrospective study at Unfallkrankenhaus Berlin demonstrated a 12% increased disease awareness for intracranial haemorrhages.2 At the Yale School of Medicine, the processing time for emergency cranial CT scans was reduced by 36 minutes.3 At Ochsner Medical Center, AI-driven stroke prioritisation reduced the time to treatment by 34%,4 while Rennes University Hospital achieved a 27% reduction in the length of stay (LoS) in the ER.5

“Asklepios is taking a bold step to address the pressing challenges in German radiology. By deploying AI at this scale, they’re setting a new standard for how healthcare facilities can use technology to increase efficiency and improve patient outcomes — a future-proof solution with lasting impact,” said Robert Hite, Head of Sales DACH at Aidoc. “We’re proud to support this pioneering initiative and help drive AI-enabled transformation in the German healthcare sector.”

The implementation follows a secure, cloud-based approach with an on-site aiOS™ AI platform, which ensures compliance with strict data security and data protection regulations in accordance with the GDPR.

About Asklepios
Founded in 1985, Asklepios today has around 170 healthcare facilities and is one of the largest private-sector clinic operators in Germany. Our actions as a company have always been designed to deliver cutting-edge medicine based on the most rigorous safety standards to all the patients placed in our care. The broad range of services we provide ensure that our 67,000 employees enjoy varied work and exciting challenges. We have healthcare facilities in 14 of Germany’s federal states.

About Aidoc
Aidoc is a pioneer in clinical AI. We focus on aiding and empowering healthcare teams to optimise patient treatment, which results in improved economic value and clinical outcomes. Aidoc’s clinically proven AI solutions eliminate silos, increase efficiencies and improve outcomes by delivering critical information when and where care teams need it leading to immediate collective action. Built on Aidoc’s proprietary aiOS™, we analyse and aggregate medical data to enable care teams to operationalise the unexpected and work seamlessly with a continued focus on the patient. Aidoc AI is always on, running in the background to change the foreground.

References

  1. https://www.detecon.com/en/consulting/industries/health/hospital-future-act-khzg
  2. Kundisch A, Hönning A, Mutze S, et al. Deep learning algorithm in detecting intracranial hemorrhages on emergency computed tomographies. PLoS One.2021;16(11):e0260560. Published 2021 Nov 29. doi:10.1371/journal.pone.0260560
  3. Davis MA, Rao B, Cedeno PA, Saha A, Zohrabian VM. Machine Learning and Improved Quality Metrics in Acute Intracranial Hemorrhage by Noncontrast Computed Tomography. Curr Probl Diagn Radiol. 2022;51(4):556-561. doi:10.1067/j.cpradiol.2020.10.007
  4. Chokhawala, Himanshu. “Enhancing stroke care efficiency through AI vendor transition: a comparative study of workflow metrics before and after implementation” BMJ Journals, 21 Jul. 2024, jnis.bmj.com/content/16/Suppl_1/A98.2.info
  5. https://www.gleamer.ai/solutions/boneview

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