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

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

Can Amazon Alexa or Google Home Help Det…

Computer scientists at the University of Rochester have developed an AI-powered, speech-based screening tool that can help people assess whether they are showing signs of Parkinson’s disease, the fastest growing...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

The Human Touch of Doctors will Still be…

AI-based medicine will revolutionise care including for Alzheimer’s and diabetes, predicts a technology expert, but it must be accessible to all patients. Healing with Artificial Intelligence, written by technology expert Daniele...