Project description DEENESFRITPL Making the most of data from electronic health records Although highly valuable information can be extracted from electronic health records (EHRs), these remain unexploitable because they are unstructured and written in natural language. The EU-funded SAVANA project allows healthcare professionals to generate real-world evidence, make new discoveries, create personalised medicine and evaluate health outcomes. To achieve that, it will create a tool that uses natural language processing to extract data from massive amounts of EHRs’ clinical narratives. The new tool will satisfy the requirements of hospital ethics committees, national health services regulations and pharmaceutical industry policies and is addressed to managers, hospitals and researchers. Show the project objective Hide the project objective Objective In the last twenty years, the average return on R&D expenditure in the pharma industry has dropped from almost 18% to 3.7%. Moreover, annual funding for biomedical research has more than doubled while new drugs approvals have declined by one third. There is a wide consensus that the main cause of this problem is the exhaustion of a model intended to develop ‘broad indications’ and the need for a new ‘precision medicine’ model. We simply do not know enough about the underlying disease mechanisms involved, and more research is required to develop better disease classifications, which will enable a more targeted development approach for drugs and therapies. Electronic Health Records (EHRs) has been used for more than ten years in most developed countries, and they gather now exhaustive clinical information of millions of patients. Leveraging EHRs could accelerate clinical research, and improve healthcare quality. However, in order to uncover unknown disease models from EHRs, precision medicine requires massive research studies on thousands of patients (often in several countries). Currently there is no tool capable of: 1) automating the extraction of data from EHRs, and also, solving the privacy concerns raised by EHRs. SAVANA RESEARCH uses Natural Language Processing to extract data from massive amounts of EHRs’ clinical narratives. It has the following advantages intended to make a leap in clinical research efficiency: 1) It uses only de-identified clinical records and ensures state of the art technologies to protect data privacy; 2) It is capable of decoding ten times more EHRs in half of the time; 3) It is capable of identifying 100 times more variables from EHRs; 4) And it costs 40% less.The application of NLP to healthcare is a fast-growing market that is expected to reach 2.65 billion by 2021, by growing at a CAGR of 20.8%. SAVANA RESEARCH’s target markets are primary Europe and North America, which together comprises 75% of all clinical trials worldwide. Fields of science natural sciencescomputer and information sciencesdata sciencebig datanatural sciencescomputer and information sciencesdata sciencenatural language processingnatural sciencescomputer and information sciencessoftwaresoftware developmentmedical and health scienceshealth sciencespersonalized medicinemedical and health sciencesclinical medicinehepatology Keywords SAVANA Programme(s) H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs Main Programme H2020-EU.3. - PRIORITY 'Societal challenges H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies Topic(s) EIC-SMEInst-2018-2020 - SME instrument Call for proposal H2020-EIC-SMEInst-2018-2020 See other projects for this call Sub call H2020-SMEInst-2018-2020-2 Funding Scheme SME-2 - SME instrument phase 2 Coordinator MEDSAVANA SL Net EU contribution € 943 358,07 Address C/ JILOCA 4 PLANTA 5 DERECHA 28016 Madrid Spain See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Comunidad de Madrid Comunidad de Madrid Madrid Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 2 408 995,78 Participants (3) Sort alphabetically Sort by Net EU contribution Expand all Collapse all Third-party Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure. SAVANAMED FRANCE France Net EU contribution € 142 205,73 Address CENTRAL FORUM 10 PLACE ANDRE EMLING 64100 Bayonne See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Nouvelle-Aquitaine Aquitaine Pyrénées-Atlantiques Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 203 151,04 Third-party Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure. SAVANAMED DEUTSCHLAND GMBH Germany Net EU contribution € 19 404,13 Address PAPPELALLEE 78/79 10437 Berlin See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Berlin Berlin Berlin Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 27 720,18 Third-party Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure. Savanamed UK Limited United Kingdom Net EU contribution € 157 552,07 Address 10 Philpot Lane EC3M 8AA London See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region London Inner London — West Camden and City of London Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 225 074,38
