The healthcare sector continually yields a consequential amount of discrete and complex data that is hard to capitalize upon, and the secret to solve those complexities is to find patterns in it. “In effect, it has become imperative for healthcare institutions to look at data analytics to improve efficiencies in patient care, patient outcomes, and many other use-cases,” proclaims Jeff Glattstein, CEO, Solvati. Mounting on advanced technologies in machine learning and data science, Solvati—an Atlanta-based company solves diverse challenges in healthcare with pattern-based analytics and predictive learning.
Solvati’s robust automated data science engine, SOLVE, powered by real-time machine learning algorithms, acts on complex data to conjure up meaningful information for organizations. SOLVE’s intuitive interface deducts relationships among the structured or unstructured data fed into it and maps them onto a graphical and statistical model using sophisticated mathematics. Leveraging predictive analytics, the platform finally generates information that client companies can readily act upon to combat their challenges pertaining to healthcare.
“Most healthcare organizations do not utilize external consumer information with internal patient data while analyzing, and this creates a gap in delivering better patient outcomes,” remarks Scott Saturday, CIO at Solvati. The company, therefore, offers an utterly new source of information as-a-service to healthcare institutions, including SOLVE platform to develop and predict better patient outcomes by improving internal operational efficiencies.
Solvati can help develop a unified control platform for the provider to effortlessly manage multiple domains and reduce business risks
Internal patient data generated by an institution is enriched with information from extrinsic sources like consumer interests, purchase and lifestyle choices, and marketing. This spawns an instructive 360-degree view of the organization’s patient population, aiding in crucial challenges like streamlining medication, readmissions, length of stay prediction, claim denials, and care customization using predictive analytics. An effective application of Solvati is in the allocation of limited hospital infrastructures, like oxygen cylinders to select patients among a larger population, by predicting and assessing risk factors of each patient.
Solvati strongly focuses on flexible and high-quality data solutions that are offered in an analytics-as-a-service model, reducing heavy investments in data science for organizations, and having expedite impact on patients and healthcare systems. Exploiting predictive analytics, data science, and machine learning, Solvati sheds off all complexities in the healthcare field thereby gathering information to be readily available to organizations. According to Glattstein, these technologies combined with telemedicine could revolutionize patient care, fostering individualized care - right care to the right patient at right time and place. Solvati can help develop a unified control platform for the provider to effortlessly manage multiple domains and reduce business risks, rendering care immediately, and improving the quality of care and life.
In a world of connected devices or IoT, and big data, Solvati witnesses tremendous opportunities that could result in an exponential surge in demand for a data science platform with machine learning applications. Combining Machine Learning and Predictive Analytics with AI, therefore, defines a pivotal goal in Solvati’s roadmap. Saturday opines that such a comprehensive solution would foster faster data collections, advanced file searches, finding latest protocols and treatments, and standardizing repetitive tasks in diagnostics and research. Doctors, for instance, instead of going through thousands of treatment articles and case files manually, can utilize AI to speed up information collections and match the required treatment options for them. This would allow doctors to spend more time with the patients rather than researching new solutions. Solvati also partners with multiple organizations that have complementary technologies and works in the field of remote telemedicine to streamline the patient experience.