A disruptive method to free physicians from Hospital Information Systems by generating fault free patient diagnostic documents in real-time using natural language

Informations projet

REALM

N° de convention de subvention: 698959

DOI

10.3030/698959

Projet clôturé

Date de signature de la CE 3 Septembre 2015

Date de début 1 Octobre 2015

Date de fin 31 Mars 2016

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Coût total

€ 71 429,00

Contribution de l’UE

€ 50 000,00

Coordonné par

DIKTAMEN OY
Finland

Periodic Reporting for period 1 - REALM (A disruptive method to free physicians from Hospital Information Systems by generating fault free patient diagnostic documents in real-time using natural language)

Période du rapport: 2015-10-01 au 2016-03-31

Résumé du contexte et des objectifs généraux du projet

Physicians spend up to 30 % of their time typing data into Hospital Information Systems (HIS), which causes financial, qualitative and societal costs. There is growing need to increase quantity of physicians and decrease costs. The population is aging and patients spend less time in care after treatment causing patient visits to increase approx. 2 – 4 % per year. Speech recognition technology is seen as a solution for effective patient document creation, though it has yet to fill its goal. During SME instrument phase I of project REALM we conducted a feasibility study on how to create fault free patient document for physicians for real-time sign-off without them having to use a keyboard and mouse.

Travail effectué depuis le début du projet jusqu’à la fin de la période considérée dans le rapport et principaux résultats atteints jusqu’à présent

We conducted a technical and commercial feasibility whilst also ensuring that we have freedom to operate. The results were that we were able to confirm and prove that we are technically able to produce real-time patient documentation and that the model is commercially feasible. The results was to positively evaluate our feasibility study.

Progrès au-delà de l’état des connaissances et impact potentiel prévu (y compris l’impact socio-économique et les conséquences sociétales plus larges du projet jusqu’à présent)

Speech recognition technology is seen as a solution for effective patient document creation, though it has yet to fill its goal. We solve issues facing speech recognition and address the needs of physicians, patient and hospitals better than competing solutions on the market. Our proposed solution is able to increase physician turnover by up to 25 % and reduce costs per diagnostic document by 40 – 80 %. Real-time sign-off completes consultation visit in one action and improves the quality of the patient documentation. These figures are equivalent to creating 13 888 new physicians inside EU-27 by the year 2020 according to project business plan.

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