RHÖN-KLINIKUM AG Diligently Presses Ahead with Digitalization

RHÖN-KLINIKUM AGRHÖN-KLINIKUM AG is forging ahead with the implementation of its digitalization strategy and is launching a new collaboration with Austrian enterprise search and big data provider Mindbreeze, a subsidiary of the publicly listed Fabasoft AG. The clinic group will use Mindbreeze’s AI-based (artificial intelligence) search engine technology.

With this application - in the form of a medical cockpit - that has been further developed in close cooperation with RHÖN-KLINIKUM AG, the entire medical staff can orient themselves more quickly and their workload is immediately alleviated. "This new approach to medical information will help us to structure the increasing amount of data and then make the information analyzable and evaluable. This is another aspect in which digitalization presents a tangible, concrete benefit," says Stephan Holzinger, CEO of the group. The medical cockpit is initially being introduced at the new Campus Bad Neustadt; use at the group's other clinic locations is planned.

With the application, the company implements an intelligent system for automatic document processing. The application can collect data from very diverse and unstructured medical documents - medical reports, laboratory or surgical reports, radiology tests - glean what is relevant to the doctor in a precise and targeted way, and filter and prepare the data.

Using semantic analysis, the system supports information retrieval in heterogeneous and predominantly free text-based patient records, taking into account medical terminology and syntax as well as networked searching. This has far-reaching implications in the clinical sector and the field of research, allowing patterns in clinical findings, illnesses, and medication to be accurately detected, and providing doctors with a quick overview of voluminous cases. All patient records and structured current patient data are presented to the physician chronologically on a central user interface, a so-called medical cockpit.

RHÖN-KLINIKUM AG will also be joining forces with other partners in the future to work on more advanced AI-based systems. To this end, the company is establishing a corresponding cooperation platform to develop solutions with measurable added value.

"Because of the consistently high level of regulatory and budgetary pressure, we strongly believe in the use of intelligent assistance systems for becoming even more efficient. That is the future - there is no getting around this, both in administrative processes like the clinical documentation and calculation of patient care services, as well as perspectively for diagnosis support. Accordingly, we are driving the digitalization strategy forward, and are also incorporating telemedicine and robotics. Our new digital transformation department integrates the medical staff and other users extensively into this process - that is essential for internal acceptance," says Holzinger.

The previous collaboration with IBM Watson will not be continued after the completion of the pilot project.

About RHÖN-KLINIKUM AG
RHÖN-KLINIKUM AG is one of the largest healthcare providers in Germany, employing approximately 16,500 staff members. The clinic group provides top-quality healthcare with a direct link to universities and research facilities. More than 800,000 patients are treated annually at the five locations in the Zentralklinik Bad Berka, Campus Bad Neustadt, the Klinikum Frankfurt (Oder), and the University Hospital Giessen and Marburg.

With the RHÖN campus concept, the company is currently implementing an innovative and forward-looking project that aims to elevate cross-sectoral medical care in rural areas to a new level of excellence, oriented to growing patient needs.

Mindbreeze GmbH
Mindbreeze GmbH, headquartered in Linz, Austria, is a leading European provider of enterprise search, big data, and knowledge management appliances. The Mindbreeze products understand information and enable a consolidated view of corporate knowledge, regardless of where (data sources) and how (structured, unstructured) the information is stored.

Most Popular Now

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...