COMPANY / “A la carte” medicine makes a new leap in phenotyping and early prognosis thanks to the technology of mass analysis of medical records

Medicine

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

Precision medicine has taken a new turn towards the most modern scientific and clinical knowledge to deal with diseases in the world with much more effective procedures. Medical analyzes, treatment guidelines, disease symptoms, drugs: Clinical records in hospitals, usually written as simple medical notes, using neither unstructured text, nor established order, nevertheless contain data of great value for clinical reuse. The machines are now able to understand the content and significance of clinical histories, becoming a great ally of the medical community, an essential tool for accessing knowledge for faster and more accurate management of each patient.

The Spanish clinical research company Savana, which has so far analyzed almost 900 million clinical records from patients in an anonymous manner using artificial intelligence and natural language processing technologies, collaborates in a coordinated manner with nearly 150 hospitals in Europe, the United States, Canada and Latin America (present in 14 countries) to make their technology available to the medical science community, in the context of various medical cooperation initiatives at the international level, which provide important answers in the fight against diseases, especially with the coronavirus. The technology enables the machines to understand health workers’ annotations and 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 an artificial intelligence and natural language processing system specialized in clinical reading (NLP) based on deep learning techniques for the large-scale processing of thousands of medical data in free text, regardless of the medium in which they are used. are processed and with data in different languages. The data is anonymized to ensure maximum privacy and patient safety.

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

The technology enables researchers to conduct collaborative, demographic, retrospective statistical studies … Also to make correlations between clinical variables, forecast disease spread, check the efficacy of pharmacological treatments or predict available medical resources .

Currently, this system is conducting worldwide research around nearly twenty different therapeutic areas (pneumology, oncology, cardiology, etc.). Studies range from multiple myeloma, heart and kidney failure due to type 2 diabetes or sclerosis. multiple, down to the impact of the coronavirus on respiratory diseases such as COPD or asthma and the profile of the COVID-19 patient who is more likely to enter Intensive Care (ICU) due to the coronavirus.

This system strengthens scientific-medical collaboration along with technology, the key to personalized medicine. In this sense, Savana has promoted the international studies “Big COVIData” and “Big COPData”, the latter co-funded with resources from the European program Horizon 2020. The conclusions are a great help in getting to know patients with coronavirus and other respiratory diseases and treat. chronic. Their conclusions are published in The European Respiratory Journal, a journal with a high impact factor, belonging to quartile 1.

“When you consider the amount of data in electronic health records for a moment, and multiply it by the thousands of clinical records generated by each health facility in dozens of countries, the potential is enormous. of all this information, both for doctors, researchers and of course for patients, ”said Jorge Tello CEO and founder of Savana. “At Savana, we are working to improve global healthcare, so it was our duty to initiate this type of research that will allow us to respond in real time to growing clinical needs.”

The tragic pandemic, with thousands of deaths around the world, has confirmed the need to act with even more force, even if possible, using all available clinical information to reuse it with the maximum guarantees of efficiency and agility in diagnose. and treat illness and save as many lives as possible.

About SAVANA

Founded in 2014, Savana is an international medical company that aims to accelerate health science and empower healthcare professionals to unlock all the clinical value that exists in electronic health records for the benefit of patients with the help of artificial intelligence. Savana’s EHRead © technology applies clinical and multilingual natural language processing to generate evidence in real life (Real World Evidence); thanks to the Savana Research Network, an ecosystem made up of more than 100 hospitals in Europe and North America.

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