AI COVID Patient Data Analysis Healthcare Assessment Report Announced

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Using real-world data on COVID19, Self Care Catalysts begins work as part of the Roche Data Science Coalition to predict human behavior for pandemic mitigation using Machine Learning. Data on COVID19 is limited and there are emerging behaviors that could inform decisions on public policy.


Self Care Catalysts, a company specializing in cutting-edge digital therapeutics and healthcare analytics solutions, launched a white paper on using Machine Learning and AI to analyze COVID-19 patient experience and use the data to improve patient outcome and optimize the healthcare process.

More details can be found at

The announcement comes amid continuing public concern over the severe impact of the current pandemic on the global health system. Using advanced AI technologies to create patient-centered healthcare strategies can be an important step towards improving the quality of COVID-19 health care and reducing the rate of life-threatening complications.

A collaboration between Self Care Catalysts,, and the Roche Data Science Coalition, the white paper outlines the benefits of using Machine Learning to gain crucial insights into coronavirus patient experiences.

The study suggests practical ways in which data can be collected and analyzed in-depth at scale using AI and other advanced technologies.

While governments throughout the world have implemented data collection initiatives monitoring the impact of the pandemic on patients and communities, gathering data on real-world patients and their experiences has not been a priority.

This has resulted in limited data on aspects including patient sentiment and behavior, coupled with a complete lack of data from potential patients who attribute their symptoms to other conditions and are not tested for COVID-19.

The Self Care Catalysts effort to develop AI patient experience data collection strategies aims to provide healthcare providers and decision makers with actionable insights in key areas. These include COVID-19 exposure, symptoms, pandemic impact on physical and mental health, and others.

The company has also partnered with to develop an advanced patient behavior prediction model. A detailed description of the even-based model and its significance can be found in the white paper.

A spokesperson for Self Care Catalysts said: “By continuing the integrated analysis of the patient experience taking into account longitudinal data on patient sentiment, preference, and experience, Self Care Catalysts is developing tools that will allow the prediction of which patients require additional surveillance for COVID-19 symptoms in case they are at risk of serious outcomes, as well as where opportunities for education or proactive outreach to patients may be useful to minimize burden on the health system and unnecessary worry.”

Interested parties can find more information on the project and its numerous potential applications by visiting the above-mentioned website, as well as at

Contact Info:
Name: Grace Castillo-Soyao
Email: Send Email
Organization: Self Care Catalysts
Address: 477 Richmond St West Ste 306, Toronto, Ontario M5V 3E7, Canada
Phone: +1-647-795-8210

Source: PressCable

Release ID: 88970552