Etiometry Co-Authors Award-Winning PCICS Abstract

Etiometry has received a “Top Abstract” award at the PCICS International Meeting for “Using a High-Fidelity Physiologic Monitoring System to Evaluate a Clinical Protocol for Post-Operative Single Ventricle Congenital Heart Disease”. The abstract illustrates the tremendous value that high-fidelity data capture brings to the evaluation of the effectiveness of clinical guidelines. It summarizes the results of a joint study between Boston Children’s Hospital and Etiometry that evaluated the use of…

Etiometry Abstract on Inadequate Oxygen Delivery Index

Etiometry presented a second abstract at the PCICS International Meeting for “Inadequate Oxygen Delivery Index (IDO2) as a Predictor of CICU Length of Stay”. This project demonstrates evidence that babies who spent more time with elevated risk of inadequate oxygen delivery as represented by our Etiometry IDO2 Index require more resources and time to recover. Algorithms Powered by Risk Analytics are available as add-ons to our T3 Visualization & Data…

AIMed Presentation: 50 Shades of Models

I was on the faculty of the AIMed Conference, which was just held in Laguna Beach California. This gave me the opportunity to discuss the value of different approaches to create predictive models for analyses of patient monitoring data. Specifically, my overview focused on the differences among: White box models that incorporate well understood relationships of human physiology Black box machine learning models that are purely extracted from data The…

The Increasing Role of Virtual Devices for Monitoring Patient Care in the ICU

The medical industry is on the dawn of a new age where physical devices become commodities and virtual devices become the new standard. This is ushering in a revolution in ICU practices both to better understand an in-patient’s trajectory and optimize control to enable a successful, short, and cost-effective ICU stay. Of course, by virtual device, I mean algorithms that can process multiple physiology parameters and transform what is measureable…

Deploying Big Data Analytics in ICUs

You don’t typically think of doctors as consulting with big data resources to improve the delivery of patient care in a hospital ICU. But that’s exactly what the Etiometry Platform enables. We recently announced that Etiometry has surpassed the collection of 10 million hours of patient monitoring information using our T3 Visualization & Data Aggregation software, and we use this massive volume of data to continuously advance the Etiometry Platform. T3…

Etiometry Launches Persistent Display Mode for Advanced ICU Visualization and Analytics

Etiometry has introduced Persistent Display functionality that allows hospital care givers to view near real-time patient trend information continuously by the bedside to improve care delivery. (See related press release). Persistent Display is now bundled into our T3 Visualization & Data Aggregation software, an FDA-cleared software application to collect, store, and visualize ICU data in near real-time. T3 operates in two different “Modes” of visualization: Individual User Mode Persistent Display…

The Role of Artificial Intelligence in ICUs

A recent article in Wired Magazine discusses Etiometry and the importance of developing impactful analytics to improve the quality of care in the ICU. While the article focused on artificial intelligence (AI) and whether it would in some ways eventually automate physician responsibilities, it reached the following logical conclusion: “If we are able to develop systems that enhance their [physicians] capabilities and allow them to provide their patients better care,…