COMPANY / A la carte medicine makes another leap in phenotyping and early prognosis thanks to the technology of mass analysis of clinical histories

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

Precision medicine has given a new impetus to state-of-the-art scientific and clinical knowledge to deal with the world’s diseases with much more effective procedures. Medical analysis, treatment guidelines, disease symptoms, drugs: clinical records in hospitals, if mostly written as simple notes of doctors, through unstructured texts, or an established order, contain, however, data of immense value to be clinically reused. Machines are already able to understand the content and meaning of medical histories and become a great ally of the medical community, an essential tool for accessing knowledge to move towards faster and more successful management of each patient. .

The Spanish clinical research company Savana, which has so far analyzed with artificial intelligence, and natural language processing technologies nearly 900 million clinical documents of patients anonymously, works in coordination with about 150 hospitals of Europe, the United States, Canada and Latin America (present in 14 passes) to make their technology available to the medical-scientific community, within the framework of different medical collaboration initiatives at an international level, which are launching key responses in the fight against diseases, especially with coronavirus. Technology allows machines to be able to understand the annotations of toilets, 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) from deep learning techniques for large-scale processing of thousands of medical data in free text, without import the media on which they have been processed and with data in several languages. The data is anonymized to ensure maximum privacy and patient safety.

Thanks to the continuous updating of data received from regional hospitals and health systems that are part of the Savannah 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 available patient variables.

The technology allows researchers to carry out statistical studies in a collaborative, demographic, retrospective way … Also to make correlations between clinical variables, prognoses on the spread of diseases, to check the effectiveness of pharmacological treatments or to predict available health resources.

With this system, research is currently being carried out worldwide on almost twenty different therapeutic areas (pulmonologist, oncologist, cardiologist, etc.). Studies range from multiple myeloma, heart and kidney failure to type 2 diabetes. multiple sclerosis, to the impact of coronavirus in respiratory diseases such as COPD or asthma and the patient profile COVID-19 ms more likely to be admitted to the Intensive Care Unit (ICU) due to coronavirus.

This system reinforces a scientific-medical collaboration alongside technology, a key to personalized medicine. In this sense, Savana has promoted the international research “Big COVIData” and “Big COPData”, the latter co-financed with funds from the European program Horizon 2020. Its conclusions are being of great help to know and treat patients with coronavirus and others. chronic respiratory pathologies. Their findings have been published in The European Respiratory Journal, a high-impact journal belonging to Quartile 1.

“If one stops to think, for a moment, about the amount of data contained in electronic medical records, and these are multiplied by the thousands of clinical documents generated by each health institution in dozens of passes, the potential is enormous. of all this information, both for doctors and researchers, and of course, for patients, “says Jorge Tello CEO and Founder of Savannah. “In Savannah, we work to improve global health care, and therefore it was our obligation to launch such studies 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 more forcefully if possible, in the use of all available clinical information to reuse it with the maximum guarantees of efficiency and agility in diagnosing and treating diseases and saving as many lives as possible.

About SAVANA

Founded in 2014, Savana is an international medical company whose goal is to accelerate health science, placing 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. Savana’s EHRead © technology applies clinical and multilingual Natural Language Processing to real-world evidence generation; thanks to the Savannah Research Network, an ecosystem of more than 100 hospitals in Europe, and North America.

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