Leveraging Iodine Software’s Cognitive Emulation approach to better understand current and future state
Iodine Software is a healthcare AI company that has pioneered a new machine learning approach— Cognitive Emulation—to help healthcare finance leaders build resilient organizations. To date, Iodine has partnered with over 600 hospitals in the United States to create a large and diverse clinical data set that can provide insights into the COVID-19 pandemic.
Iodine’s Cognitive Emulation approach analyzes the full clinical record for each patient much the way a clinician would, but on a massive scale. Coupled with proprietary technology that forecasts diagnosis-related groups (DRGs) for every patient still in the hospital, Iodine is able to look in real time at trends emerging in this data set without having to rely on final coded data that is typically only available post-discharge, after a considerable delay.
For this report, Iodine reviewed more than 60,000 COVID-19 cases from over 600 hospitals— spanning cases from the entire country, including both infection hot spots and emerging areas of concern. Using the Iodine CognitiveMLTM engine and Iodine ForecastTM product, the Iodine Data Science team identified likely COVID-19 patients and predicted the DRG for recently discharged, but not final-coded, cases. Both structured and unstructured data were leveraged to generate this analysis. The timeframe for this analysis is from March 4 through May 3, 2020. Within this data set, 50.1% of patients were male and 49.9% were female.
This information is meant to help healthcare providers nationwide more accurately forecast their resource needs (including staff, ICU beds, ventilators and other critical care equipment) and understand the demographics most vulnerable to COVID-19, as well as support healthcare finance leaders in determining the right strategies to ensure financial resilience both in the near- and long-term.