A percent of people who become infected with COVID-19 will have severe complications, require treatment with mechanical ventilators in intensive care units (ICUs) and possibly die. To prevent this – and prevent overloading the healthcare system – we need to identify those individuals now and find practical solutions to help them “shelter in place” so they don’t need to leave their homes.Learn More
COVID-19 is an acute respiratory disease that has been classified as a pandemic by the World Health Organization. Characterization of this disease is still in its early stages; however, it is known to have high mortality rates, particularly among individuals with preexisting medical conditions…
The C-19 Vulnerability Index (C-19 Index) is an open source, AI-based predictive model that identifies people who are likely to have a heightened vulnerability to severe complications from COVID-19 (commonly referred to as “The CoronaVirus”). The C-19 Index is intended to help hospitals, federal / state / local public health agencies and other healthcare organizations in their work to identify, plan for, respond to, and reduce the impact of COVID-19 in their communities.
To be absolutely clear – the C-19 Index does NOT predict who will become infected with COVID-19 or geographic locations where the virus might spread. It is meant to identify people with a heightened risk of severe complications should they become infected.
The risk of death has been difficult to calculate, but a small study of people who contracted Covid-19 in Wuhan suggests that the risk of death increases with age, and is also higher for those who have diabetes, disease, blood clotting problems, or have shown signs of sepsis. With an average death rate of 1%, the death rate rose to 6% for people with cancer, high blood pressure and chronic respiratory disease, 7% for people with diabetes, and 10% for people with heart disease. There was also a steep age gradient; the death rate among people aged 80+ was 15%.
The proxy endpoint includes diagnosis codes for Pneumonia, Influenza, Acute Bronchitis, and Other Respiratory Infections. They are specified using ICD-10-CM codes from International Classification of Diseases, 10th Revision, Clinical Modification and CCS categories from AHRQ’s Clinical Classifications Software CCS.
The C-19 Index uses medical claims data that reflects an individual’s medical history, chronic conditions, comorbidities, prior adverse events, recent medical treatments and procedures, functional limitations, and degree of frailty. It also integrates publicly-available data for several social determinants of health. More details on risk factors, known as “features” used in the model, such as Continuity of Care, Hospital Acquired Infections, and Fall-Related Injuries, along with other supporting technical details are available in the white paper here.
ClosedLoop has partnered with Ion Channel to ensure that COVID-19 Index code is continuously analyzed. The code and all its dependencies are checked for viruses, vulnerabilities and other risks every time the code is updated and no less frequently than once a day. New code, either from ClosedLoop developers or community contributors, all meet security criteria to be approved for addition to the code base.
Ion Channel is a software supply chain logistics and assurance platform that continuously monitors software used in critical infrastructure. Continuous monitoring gives customers immediate notice of vulnerabilities in vendor products and open source software and measures suppliers’ time-to-response when remediation is required.
Use of the C-19 Index in the ClosedLoop cloud hosted environment is HIPAA compliant. This requires a signed Business Associate Agreement, or BAA, available through the download and deploy process.
We are offering three deployment models
We are on a mission to mobilize health care systems to more effectively target their efforts to protect the vulnerable members of their community. Creating the C-19 Index is just the start. We need your help to truly make a difference. We need your help if it’s going to actually make a difference. Let us know how you would like to get involved. Specific areas where help is needed will be updated soon. In the meantime, please email email@example.com if you have questions or would like to help support these efforts.
ClosedLoop has recently published the COVID-19 Vulnerability Index (C-19 Index), an open-source tool for predicting vulnerability to complications arising from the COVID-19 virus. In my last post, I discussed a lot of the “what” questions surrounding the model. If you haven’t read that one, you might want to read it first to get an understanding of what the C-19 Index is...
With the spread of COVID-19 becoming an evermore assertive force in our lives, the healthcare data science community has an opportunity to play an important role in the mitigation of this emerging pandemic. History has shown response to such diseases can drastically alter the worst effects of such diseases. Many cities have imposed...
Wuhan has shown the rest of the world that ‘shelter in place’ can #flattenthecurve. Can it work here in the United States? While no one knows for sure, what we can say, at least statistically, is that a certain percent of people who become infected with COVID-19 will have severe complications, require treatment with mechanical ventilators in intensive care units (ICUs) and possibly die...