Are all possible IT innovations in healthcare desirable?

From artificial kidneys to robots as nursing staff in hospitals, information technology (IT) is becoming increasingly important in preventive healthcare and the treatment of diseases. But not everything that is technically possible will also be accepted, say researchers from the German Fraunhofer Institute for Systems and Innovation Research (ISI).

The scientists have just published a study, entitled "Future Information Technology for the Healthcare Sector", addressing the questions: Which IT applications will be technically feasible in the healthcare branch by 2020? And: Do patients actually want them? By questioning 200 experts from research institutions, businesses and associations, the Fraunhofer researchers found 36 applications which participants considered to be feasible, meaningful for the patients and economically profitable.

In just six years time, for instance, the experts expect that IT systems will be used for remotely monitoring high risk patients, analysing the information obtained and alerting a doctor should an emergency arise. It should take the same time to develop an implantable chip on which the data necessary for the treatment of the patient will be stored. In 2016, there will be emergency genetic testing in order to quickly identify people who cannot identify themselves, experts predicted. And robots will relieve nursing staff of heavier duties in many hospitals in 2018.

Due to these innovations, new markets will develop, interviewees said. This applies, for instance, to radio-frequency identification (RFID) chips, which already play a large role in logistics today. These wireless labels could help Alzheimer patients to find lost objects, or they could store treatment data and the medication doses of patients in hospitals.

The questionnaire also revealed that most IT innovations in the healthcare sector were considered highly desirable. These included the standard use of virtual reality in training medical staff (predicted for 2012) and the development of a retina implant helping the blind to orientate themselves in a room (feasible by 2018). Other possible IT applications, however, met with less enthusiasm - mainly due to data protection concerns or a loss of 'human touch'.

For example, 64% of interviewees did not like the idea of having a chip implanted which stored their medical data. 20% did not approve of emergency genetic testing. Robots in nursing met with criticism from 54% of persons interviewed. Nevertheless, they also agreed that demographic change and the lack of trained nursing staff might make robot nurses an inevitable fact. Prototypes are already being tested.

For further information, please visit:
http://www.isi.fhg.de/homeisi.htm

For the complete study (in German), visit:
http://www.fazit-forschung.de

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

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...

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...

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...

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...

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...

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...

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...

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...

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...

To be Happier, Take a Vacation... from Y…

Today, nearly every American - 91% - owns a cellphone that can access the internet, according to the Pew Research Center. In 2011, only about one-third did. Another study finds...

Researchers Find Telemedicine may Help R…

Low-value care - medical tests and procedures that provide little to no benefit to patients - contributes to excess medical spending and both direct and cascading harms to patients. A...