Medical Informatics Corp.’s (MIC) mission is to deliver next-generation technologies to unify patient monitoring workflows for healthcare systems. MIC’s decade of innovation with its clinical platform, Sickbay, integrates over 30,000 vendor-neutral signals on two percent of hospital beds with over 10,000 clinical users in the United States. Most hospital systems lack native resolution data aggregated through a single source, instead deploying a multi-device strategy that silos data and data access time frames. The Sickbay Clinical Platform stands alone as the only FDA-cleared platform to aggregate time-series waveform data across disparate devices at native resolution. Current bedside devices delete data on average after 72 hours, while Sickbay saves the data indefinitely. Sickbay provides a portal through which care providers can review aggregated, time-synchronized data, annotate it, and collaborate to create algorithms (including ML & AI) and evaluate post-event care. Those algorithms and care models can then be reintroduced into the platform to advance care and innovation. Simply put, Sickbay provides the hospital teams their data from anywhere, anytime, to optimize workflows, analysis, and risk stratification across the patient care spectrum. The diverse team at MIC is fundamentally unlocking a blue ocean of new patient monitoring capabilities for ourselves, our partners, and our clients. MIC’s Sickbay saves lives, improves outcomes, streamlines strategy and technologies, and reduces the overall caring cost for hospital patients nationwide.

• eCART is a research-based, AI-driven software as a medical device (SaMD) that utilizes a machine learning algorithm to continuously assess hospitalized patients’ risk of impending death or intensive care unit (ICU) transfer, assisting medical staff in swift and accurate recognition of patients requiring increased medical attention. eCART draws upon readily available patient data from the EHR, rapidly quantifies disease severity, and predicts likelihood of critical illness onset, hours before it happens.
• eCART received FDA 510(k) clearance in 2024, with clinical performance data of nearly two million hospitalizations from 21 hospitals, including an unprecedented level of real-world prospective data, to ensure consistent accuracy across geography, age, race, and top medical conditions (e.g. sepsis, COPD, heart failure). 
• Built upon more than a decade of ongoing scientific research, eCART was developed at UChicago Medicine by Dr. Dana Edelson, MD, MS and Dr. Matthew Churpek, MD, PhD and is well chronicled in published literature. The analytic and workflow have been in use in clinical practice since 2016.

At AgileMD, we are building the most advanced real-time predictive analytics and clinical pathways platform for hospitals.

To date, AgileMD tools have been used on more than 4 million patient encounters by more than 135,000 clinical users in over 250 hospitals, including some of the nation's leading academic medical centers. AgileMD's eCART clinical deterioration prediction software is FDA cleared and the first AI-powered early warning device for ward patients to go through the FDA process with real-world prospective data. 

AgileMD is backed by premier start-up partners MATTER, YCombinator, and Rock Health, and our cutting-edge analytics are built on more than decade of ongoing research at the University of Chicago. In 2021, AgileMD garnered nearly $3 million in combined federal research and development funding from the U.S. Department of Health and Human Services (HHS), including the National Institutes of Health (NIH) and the Biomedical Advanced Research and Development Authority (BARDA).

The EHR is intended to be a point of care reference to support billing. Traditionally, only documenting discreet vitals from patient monitoring devices at single points.

Sickbay Clinical Platform:

• captures consolidated, persistent, time-series waveform data from networked and non-networked bedside devices at its native resolution
• re-displays near real-time, time aligned signals at an average latency of <25 mSec
• integration of risk scores and analytics

Sickbay is a single, interconnected platform that is designed to support dozens of use cases, therefore competition is dependent upon the use case. In addition to the data agggregation, consolidation, and visualilzation differences referenced under EHR functionality, key differentiators in patient monitoring & virtual care include: 

• vendor neutral device integration
• web-based to support monitoring on any PC, tablet, phone or embedded EHR workflow
• flexible, modular design to enable ability to monitor 50+ patients across units, facilities, and vendors
• unlimited retrospective data, from one second to one year+, to support building and sharing of trends, CDI documentation support, quality reporting
• integration, development and deployment of near real-time risk scores and analytics into established workflows
• automated documentation of vitals, ECG strips, and event trends into the EHR

• Continuously monitors EHR data in real time
• Stratifies hospitalized patients by risk of impending all-cause clinical deterioration and sepsis
• Notifies inpatient providers when patient may need additional assessment and management
• Recommends clinical pathways with integrated order entry

• Authorized: FDA 510(k) cleared
• Tested: Derived and validated in nearly 3 million patient encounters across 28 hospitals
• Experienced: 8+ years in clinical use; 10+ years of published academic literature on value over other early warning scores
• Accurate: High sensitiviy and specificity, meaning fewer false alarms and more efficient focus on the highest risk patients
• Integrated: Embedded cross-team workflow ensures that risk scores are not ignored and action is taken
• Benchmarked: Robust reporting, benchmarking, and implementation support drive quality improvement