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

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...

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...

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...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

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...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...

Brain Imaging may Identify Patients Like…

By understanding differences in how people’s brains are wired, clinicians may be able to predict who would benefit from a self-guided anxiety care app, according to a new analysis from...