TACIT

The TACIT project aim is to unlock the tacit knowledge of Europe's senior clinicians both by linguistically analysed multimedia recording and by expert location and communications.

The objective of TACIT is to unlock some of the tacit knowledge of Europe’s highly experienced senior clinicians and to combine that knowledge with readily accessible explicit knowledge. This will enhance decision making at all levels of care delivery – including the experts themselves – by facilitating sharing of expertise within Healthcare Communities of Practice, with the goal to reduce clinical risk and improve the quality of service for the patient throughout the care delivery process.

The emphasis of this approach is on the clinician, providing instruments to allow him/her to take better and more informed decisions. It will be fully prototyped and experimented within the key clinical process of cancer care, addressing the substantial problems of bridging clinical expertise between secondary (hospital) care and after care led by the general practitioner and supporting specialist community nurses.

The challenges to achieving this vision are:

  • Defining what knowledge is required – TACIT, as its name implies, will focus on the tacit knowledge held by experienced clinicians and will analyse exactly how this gets applied in clinical decision processes within the user partners. In addition, a key feature of TACIT will be a self-learning capability, recognising that clinical decisions are iterative, reducing uncertainty and imprecision through stages of tests, analysis and the generation of further ideas.
  • Eliciting tacit knowledge – TACIT will prototype ubiquitous knowledge elicitation tools which will monitor, record, film and capture the actions, words and results of the senior clinicians as they work with patients, and store this in a multimedia database.
  • Applying the knowledge – the aim of TACIT is to try to apply the latest thinking in "expertise" management to tapping into the tacit knowledge base in unstructured and interactive ways.
  • Locating expertise when systems for knowledge fail - a major aspect of tacit knowledge management is the identification of who holds the expertise, and the provisioning of communications with that person when required (expert location). TACIT will include a peer-to-peer expertise location and sharing network to enable experts to be quickly identified and communicated with.
  • Taking cultural and linguistic differences into account – TACIT aims to cross linguistic and cultural boundaries as far as possible in the sharing of clinical experience, ensuring that expertise can be shared across Europe’s health organisations.

For further information, please visit:
http://www.tacit-ist.org

Project co-ordinator:
Guys and St Thomas' Hospital (UK)

Partners:

  • Guys and St Thomas' Hospital, (UK)
  • COGENTA Limited, (UK)
  • FOURSIGHT Limited, (UK)
  • EXPERT SYSTEM S.P.A., (IT)
  • METAWARE S.P.A., (IT)
  • Libera Universita "Campus Bio-Medico" Di Roma, (IT)
  • Center for Usability Research & Engineering, (AT)
  • AIRIAL CONSEIL, (FR)
  • Corpora Plc, (UK)

Timetable: from 06/04 – to 08/06

Total cost: € 4.271.940

EC funding: € 2.500.000

Instrument: STREP

Project Identifier: IST-2002-507691

Source: FP6 eHealth Portfolio of Projects

Most Popular Now

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...

Bayer Acquires HiDoc Technologies and Ca…

Bayer is today announcing that it plans to acquire HiDoc Technologies GmbH in the first quarter of 2025 and to start commercialization of the digital health application, Cara Care®. Cara...