A new big data predictive Analytics solution for the ICU
everis and NTT DATA have started a joint project with the Virgen del Rocio University Hospital in Seville to develop a new medical analytics solution technology.
ehCOS SmartICU uses the ehCOS Healthcare IT Platform and the Big Data Analytics solutions of NTT Data.
everis and NTT DATA have started a joint project with the Andalusian Health Service and Virgen del Rocio University Hospital in Seville, Spain to develop a new medical analytics solution technology, ehCOS SmartICU, designed to improve the care process in intensive care units (ICU), ultimately to reduce patient morbidity and mortality as well as the rate of preventable adverse events.
Combining everis’ existing solution for medical institutions (ehCOS) and NTT DATA Big Data analytics solutions, ehCOS SmartICU is expected to provide a comprehensive solution based on predictive modeling systems that will provide healthcare professionals with an advanced tool for predicting outcomes and generating alerts to make real-time personalized clinical decision to support acute patients in the Emergency Resuscitation and Critical Care Units. Analyzing the data in real time will improve priority settings in the ICU.
An important challenge that many of our clients face is boosting their business by leveraging the value of big data. We think this is also the case of the ICU. How can we support their challenge? We believe that our 20 years experience of advanced analytics and our Big Data analytics solutions will be a big help. Our Big Data analytics solutions have the ability to process large amounts of biomedical streaming data with sophisticated analytics techniques like machine learning and statistical analytics. By combining our Big Data analytics expertise and solutions with ehCOS and doctors’ medical knowledge, we will build new ICU healthcare protocols that will contribute to improve patients’ care and enhance ICU operations.
Mr. Motohisa Tomura
Head of R&D Headquarters, NTT DATA Corporation.
If we could take all the information from continuous patient monitoring equipment, along with their electronic health records, the verbal commands specific to this care setting and other relevant data, and apply sufficiently evolved algorithms to generate and propose the most appropriate plans of treatment for the patient, such as medication, dosage, course of care, etc., based on experiences and decision-making best practices, we would have a solution that would allow us to generate new models for treatment planning, increase the quality of care, improve the efficiency of ICU professionals and reduce adverse effects on patients.
Dr. Francisco Murillo
Head of the Emergency and Critical Care Unit at the Virgen del Rocio University Hospital.
The Critical Care Units attend patients with serious, life-threatening illnesses and injuries that require highly specialized care, precise medications and constant monitoring with high-tech equipment and biomedical devices. However, the large volumes of data and bio-signals being generated by this equipment overwhelm doctors and nurses, and often oblige doctors to dedicate considerable time weighing out the different activities required in these units. Integrating all of this information in a comprehensive manner, based on the medical protocols, will bring about significant changes to the efficiency and accuracy of the medical decision-making. In addition, valuable information for new or improved protocols can be retrieved from the accumulated big bio-signal data thanks to the big data analytics technology.
The majority of the existing EHR systems do not incorporate specific solutions for Critical Care Units due to problems with interoperability, producing a lack of information in critical moments of the patient care process. ehCOS SmartICU will provide healthcare professionals with an advanced data analytics tool capable of predicting outcomes or generating relevant alerts for each patient, offering improvements in treatment protocols to maximize patient outcomes, and optimize resources in one of the most complex environments in a healthcare facility, says Mario Chao, CEO of ehCOS.