April 13, 2020
In reporting scientific data, drug trials and research articles require a statistical calculation to prove the researchers’ data is not occurring from random chance. Researchers apply a statistical analysis to the data conclusions. The CV19 Lab Testing Dashboard is not intended to be used for scientific research. Instead, it is intended to provide reasonable guidance to local public health and hospital officials as to when to take action in a local area (county or PUMA) based on increasing % Detected (+) COVID-19 testing results rates in that area or its surroundings.
The amount of testing going on nationally is very limited. Every state has less than 1% of the population tested. We are not referring to statistically evaluated data when reporting important trends from the limited COVID-19 testing data thus far in the United States. We do not intend for the dashboard to be an epidemiologist research tool with statistical probability values of < 0.5.
The CV19 Lab Testing Dashboard powered by hc1 is raw SARS-CoV-2 test results data, assembled in a web-cloud data repository, and reported as charts, graphs, and mapping that communicates direct knowledge to suggest what to do, when to do it, and where to do it.
“The focus is on saving lives and getting ahead of this!”
Mayor of New York City, Bill de Blasio on April 7, 2020
About the Author
Peter J. Plantes, M.D. has three decades of experience creating service and delivery solutions that enhance marketplace success and clinical performance for clinical practice groups, academic faculty group practices, hospitals, health systems, and health care organizations. His success stems from his ability to blend and synergize clinical knowledge, operational expertise, financial performance, and collaborative methodology with his deep commitment to serve patients and improve the health of the community. Dr. Plantes has served in CEO & Physician Executive roles for a number of large healthcare clinical delivery networks including regional community networks, academic practices, national hospital networks, international health systems (Chile, Colombia), and corporate managed care/HMO networks.
