Doc@Hand

Doc@Hand is an advanced platform aiming to easily access a wide set of data such as clinical records, clinical cases and diseases correlated information, supporting Healthcare professionals in their day by day activities providing an transparent access to heterogeneous and geographically dispersed information, allowing to query the system using natural language.

In a scenario where Healthcare organizations tend to rapid decentralization, with multiple actors involved in the care delivery processes, the importance for professionals to collaborate, access and share data and knowledge becomes more and more stringent.

Information security and availability is then the first requisite; Healthcare systems and networks protecting information both in written, spoken, electronically recorded, or printed form from accidental or malicious modification, destruction or disclosure is a preliminary system requirements. Security and authorization guarantee that information are accessible and distributed to all interested actors, at the same time meeting the strictest requirements for data security and privacy. Doc@Hand provides a set of tools that help healthcare professionals in reducing time and associated costs to collect the information and knowledge required, optimising the decision making processes and also preserving security and privacy.

Doc@Hand intends to:

  • allow a transparent access to different and wide dispersed information;
  • allow a proactive search using push technologies for relevant information
  • provide an intuitive interfaces to easily filter and navigate through the information;
  • integrate existing decision support systems;
  • provide virtual communities for opinions' exchanges around patients or other issues;
  • protect patient's sensible data from possible unauthorized accesses

For further information, please visit:
http://www.doc-at-hand.org

Project co-ordinator:
TXT eSolutions

Partners:

  • TXT eSolutions (IT)
  • Nomos Sistema (IT)
  • University of Genova-DIMEL (IT)
  • British Maritime Technology (UK)
  • SSM (CY)
  • ANCO (GR)
  • Hospital Clinic Public Barcelona (ES)
  • Guy and St.Thomas Hospital (UK)

Timetable: from 01/04 - to 12/06

Total cost: € 4.132.800

EC funding: € 2.299.850

Instrument: STREP

Project Identifier: IST-200-508015

Most Popular Now

West Midlands to Digitally Transform Can…

NHS patients throughout the West Midlands are to benefit from a digital pathology programme, designed to help reduce cancer backlogs, transform services, and improve the speed and accuracy of cancer...

AI Transforms Smartwatch ECG Signals int…

A study published in Nature Medicine reports the ability of a smartwatch ECG to accurately detect heart failure in nonclinical environments. Researchers at Mayo Clinic applied artificial intelligence (AI) to...

Siemens Healthineers Splits Fast-Growing…

Siemens Healthineers is splitting its Asia Pacific operations into two to allow both China and the rest of the region to achieve their full potential. China, now its own region...

Siemens Healthineers Presents Two Revolu…

7 Tesla (T) Magnetom Terra.X(1) will offer excellent imaging of even the smallest structures 3T Magnetom Cima.X(2) more than doubles the gradient amplitude(3) AI algorithms which can reduce scanning...

3D Protein Structure Predictions Made by…

In a living being, proteins make up roughly everything: from the molecular machines running every cell's metabolism, to the tip of your hair. Encoded in the DNA, a protein may...

New Group to Advance Digital Twins in He…

EDITH (Ecosystem for Digital Twins in Healthcare) Coordination and Support Action (CSA) - a group made up of numerous internationally renowned research institutions, professional associations, companies, and hospitals of excellence...

Willingness to Use Video Telehealth Incr…

Americans' use and willingness to use video telehealth has increased since the beginning of the COVID-19 pandemic, rising most sharply among Black Americans and people with less education, according to...

Evaluating Use of New AI Technology in D…

Published in the Journal of the American Medical Informatics Association, University of Minnesota researchers led a study evaluating federated learning variations for COVID-19 diagnosis in chest x-rays. Federated learning is...

DMEA Call for Papers: Supporting Digital…

25 - 27 April 2023, Berlin, Germany. Health meets digitalisation: from 25 to 27 April 2023 at DMEA - Connecting Digital Health, all actors aiming to promote health IT will be...

Machine Learning can Help Predict Patien…

Predicting which patients will respond well to treatment is a quandary that has plagued the field of cancer immunotherapy for more than four decades. Now, researchers at the Johns Hopkins...

MEDICA 2022 and COMPAMED 2022: Internati…

14 - 17 November 2022, Düsseldorf, Germany. Next week sees the return of the date marked in extra thick outline in many yearly calendars of the international health and medical technology...

MEDICA and COMPAMED Present Themselves a…

14 - 17 November 2022, Düsseldorf, Germany. MEDICA and COMPAMED continue to develop in an extremely vital manner. The world's leading medical trade fair and the international No. 1 for the...