European scientists to develop healthcare robot

IWARD targets mainly hospitals and healthcare centres to overcome the shortages of healthcare staff - a major issue in European healthcare. Our aging society and economic pressure increase the patients-to-medics' ratio, having an adverse effect on healthcare quality and performance. Not being able to attend all patients at the right time and not keeping the hospitals clean enough (e.g. MRSA Transmission) also increases recovery time and cost.

To improve the quality of healthcare, these focal issues emerge: fast identification and location of patients needing immediate attention; reduction of human errors; effective cleaning in hospitals; wider reach of specialist medics, possibly attending patients remotely. To achieve this, IWARD presents a robot swarm delivering support to oversee activities in healthcare environments, providing a multipurpose, cost-effective and scalable solution to enhance quality of healthcare.

Four major tasks are: attendance, recognition, communication and support (assisting/cleaning). Attendance means to monitor hospital wards by robots acting as a dynamic swarm. Recognition points out, that the swarm is able to recognize patients or objects needing attention, providing immediate information about the location and needs of the concerned patients. The robots can be equipped with different adaptable hardware components for floor cleaning and delivery of food, linen, medicine etc. All mobile robots are capable of providing patients and visitors with guidance and information. It provides easy to use but high tech interaction interfaces like voice control through mobile and fix-mounted robots.

Each robot will consist of a basic platform mounted with a module of sensors and equipment for different tasks. So for example, a robot could be fitted with a laser thermometer to measure body heat from a distance or cleaning equipment to mop up spills. Another task could be to guide visitors around the hospital.

While the hardware and modules will use off-the-shelf technology, the swarm-based intelligence will require groundbreaking work, as will the software platform to allow the robots to operate semi-autonomously.

"The idea is not only to have mobile robots but also a full system of integrated information terminals and guide-lights, so the hospital is full of interaction and intelligence," said Thomas Schlegel, the project leader from the Fraunhofer Institute.

"Operating as a completely decentralised network means that the robots can co-ordinate things between themselves, such as deciding which one would be best equipped to deal with a spillage or to transport medicine," he continued.

Each robot would be fitted with a suite of sensors, allowing it to move around the hospital, using proximity sensors to avoid collisions and inbuilt cameras to explore its environment. One robot would be able to warn another if its cameras see a collision.

Information could be communicated between the robots by using either a wireless Local Area Network (LAN) or Bluetooth technology or even infrared lasers.

The robots could then communicate with patients and pass messages on to staff.

Dr Schlegel said "IWARD will mean that hospital staff will be able to spend more time with their patients rather than doing other basic tasks."

The project began this month and the team hopes to have developed a three-robot prototype system by 2010.

For further information, please visit IWARD Project Fact Sheet

Copyright ©European Communities, 2007
Neither the Office for Official Publications of the European Communities, nor any person acting on its behalf, is responsible for the use, which might be made of the attached information. The attached information is drawn from the Community R&D Information Service (CORDIS). The CORDIS services are carried on the CORDIS Host in Luxembourg - http://cordis.europa.eu. Access to CORDIS is currently available free-of-charge.

Most Popular Now

European Artificial Intelligence Act Com…

The European Artificial Intelligence Act (AI Act), the world's first comprehensive regulation on artificial intelligence, enters into force. The AI Act is designed to ensure that AI developed and used...

Patient Safety must be Central to the De…

An EPR system brings together different patient information in one place, making it easier to access for healthcare professionals. This information can include patients' own notes, test results, observations by...

ChatGPT Shows Promise in Answering Patie…

The groundbreaking ChatGPT chatbot shows potential as a time-saving tool for responding to patient questions sent to the urologist's office, suggests a study in the September issue of Urology Practice®...

AI can Help Rule out Abnormal Pathology …

A commercial artificial intelligence (AI) tool used off-label was effective at excluding pathology and had equal or lower rates of critical misses on chest X-ray than radiologists, according to a...

Survey: Most Americans Comfortable with …

Artificial intelligence (AI) is all around us - from smart home devices to entertainment and social media algorithms. But is AI okay in healthcare? A new national survey commissioned by...

AI Spots Cancer and Viral Infections at …

Researchers at the Centre for Genomic Regulation (CRG), the University of the Basque Country (UPV/EHU), Donostia International Physics Center (DIPC) and the Fundación Biofisica Bizkaia (FBB, located in Biofisika Institute)...

Video Gaming Improves Mental Well-Being

A pioneering study titled "Causal effect of video gaming on mental well-being in Japan 2020-2022," published in Nature Human Behaviour, has conducted the most comprehensive investigation to date on the...

New Diabetes Research Links Blood Glucos…

As part of its ongoing exploration of vocal biomarkers and the role they can play in enhancing health outcomes, Klick Labs published a new study in Scientific Reports - confirming...

Machine learning helps identify rheumato…

A machine-learning tool created by Weill Cornell Medicine and Hospital for Special Surgery (HSS) investigators can help distinguish subtypes of rheumatoid arthritis (RA), which may help scientists find ways to...

New AI Software could Make Diagnosing De…

Although Alzheimer's is the most common cause of dementia - a catchall term for cognitive deficits that impact daily living, like the loss of memory or language - it's not...

A New AI Tool for Cancer

Scientists at Harvard Medical School have designed a versatile, ChatGPT-like AI model capable of performing an array of diagnostic tasks across multiple forms of cancers. The new AI system, described Sept...

Vision-Based ChatGPT Shows Deficits Inte…

Researchers evaluating the performance of ChatGPT-4 Vision found that the model performed well on text-based radiology exam questions but struggled to answer image-related questions accurately. The study's results were published...