COMPANY / A la carte medicine makes an additional leap in phenotyping and early prognosis thanks to the technology of massive analysis of medical records

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Millions of electronic medical records in hospitals are processed in real time with EHRead technology from the scientific company Savana. This is a milestone, consolidated in the new era of coronavirus, when it comes to making personalized and early medical diagnoses and forecasts, based on anonymized data from millions of patients.

Precision medicine has given a new direction to the latest scientific and clinical knowledge to address the world’s diseases with much more effective procedures. Medical tests, treatment guidelines, symptoms of the disease, medications: hospital clinical records, mostly written as simple medical notes, using unstructured texts, no set order, still contain data of immense value for clinical reuse. Machines are now able to understand the content and significance of medical records and thus become a great ally of the medical community, an essential tool for accessing knowledge to move to a faster and more accurate management of each patient.

The Spanish clinical research company Savana, which has so far analyzed almost 900 million patient clinical documents anonymously with artificial intelligence and natural language processing technologies, works in coordination with almost 150 hospitals in Europe, the United States United States, Canada and Latin America (present in 14 countries) to make their technology available to the medical-scientific community, as part of various international medical collaboration initiatives, which provide key answers in the fight against diseases, especially coronavirus. The technology allows machines to understand the annotations of health workers, managing to automate the conversion of these texts into structured and reusable content for research purposes.

The keys to Savana’s EHRead technology are as follows:

It is a system based on artificial intelligence and natural language processing specialized in clinical reading (NLP) based on deep learning techniques for large-scale processing of thousands of medical data in free text, regardless of the environment in which it is used. they were also processed with data in different languages. The data is anonymized to ensure maximum privacy and patient safety.

Thanks to the continuous updating of data received from hospitals and regional health systems that are part of the Savana Research Network, EHRead is able to read the most relevant terminology and concepts related to COVID-19. Predictive models are developed once trained with a multitude of data and all variables available to patients.

The technology allows researchers to conduct collaborative statistical studies, demographics, retrospectives … Also, to make correlations between clinical variables, predictions of the spread of diseases, to verify the effectiveness of pharmacological treatments or to predict the resources available for healthcare.

Currently, with this system, research is carried out around the world around almost twenty different therapeutic fields (pneumology, oncology, cardiology, etc.). Studies range from multiple myeloma, heart and kidney failure due to type 2 diabetes or sclerosis. multiple, to the impact of coronavirus on respiratory diseases such as COPD or asthma and the profile of the patient with COVID-19 more likely to be hospitalized in the Intensive Care Unit (ICU) due to coronavirus.

This system consolidates a scientific-medical collaboration together with technology, the key to personalized medicine. In this regard, Savana has promoted international research “Big COVIData” and “Big COPData”, the latter co-financed with funds from the European Horizon 2020 program. Its conclusions are very helpful for the knowledge and treatment of patients with coronavirus and other chronic respiratory diseases. Their findings were published in The European Respiratory Journal, a high-impact quartile journal.

“If you stop to think, for a moment, about the amount of data contained in electronic medical records and they are multiplied by thousands of clinical documents that each health institution generates in dozens of countries, the potential is enormous. from all this information, both for doctors and researchers, and, of course, for patients “, assures Jorge Tello CEO and founder of Savannah. “In Savannah, we are working to improve global healthcare and, therefore, it was our obligation to launch this type of study with which to respond in real time to growing clinical needs.”

The tragic pandemic, with thousands of deaths worldwide, has reaffirmed the need to act with even greater force, even if possible, in using all available clinical information to reuse it with maximum guarantees of efficiency and agility in diagnosis and treat diseases and save as many lives as possible.

About SAVANA

Founded in 2014, Savana is an international medical company whose goal is to accelerate health science, putting in the hands of health professionals the power to unlock all the clinical value that exists in electronic medical records using artificial intelligence for the benefit of patients. Savannah’s EHRead © technology applies clinical and multilingual natural language processing to generate real-life evidence (real-world evidence); thanks to the Savana Research Network, an ecosystem of more than 100 hospitals in Europe and North America.

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