Feb 5 19

Research Papers

grazitti

Automated Event Detection to Improve Patient Care and Quality

July/Aug 2018, Fauss, E., & Patel, R.
Biomedical Instrumentation & Technology

Hospital Integrates Remote, Real-Time Monitoring Data from Isolation Unit

Mar/Apr 2018, Fauss, E.
Biomedical Instrumentation & Technology

An Effective Model of Cerebrovascular Pressure Reactivity and Blood Flow Autoregulation

Jan 2018, Acosta, S., Penny, D., Brady, K., & Rusin, C.
Microvascular Research

Finding Representative Electrocardiogram Beat Morphologies with CUR

Jan 2018, Hendryx, E., Riviére, B. Sorensen, D., & Rusin, C.
Journal of Biomedical Informatics

Cardiovascular Mechanics in the Early Stages of Pulmonary Hypertension: A Computational Study

Dec 2017, Acosta, S., Puelz, C., Riviére, B., Penny, D., Brady, K., & Rusin, C.
Biomechanics and Modeling in Mechanobiology

Patient Centric Alarm Management for Improving Care Quality

April 2017, Stein, F.
HIMSS17 Annual Conference Education Sessions

Predicting Intracranial Pressure and Brain Tissue Oxygen Crises in Patients with Severe Traumatic Brain Injury

Sep 2016, Myers, R., Lazaridis, C., Jermaine, C., Robertson, C., & Rusin, C.
Critical Care Medicine

Numerical Method of Characteristics for One-Dimensional Blood Flow

Aug 1, 2015, Acosta, S., Puelz, C., Riviére, B., Penny, D., & Rusin, C.
Journal of Computational Physics

An Effective Model of Blood Flow in Capillary Beds

July 2015, Acosta, S., Penny, D., & Rusin, C.
Microvascular Research

A New Algorithm for Detecting Central Apnea in Neonates

Jan 2012, Lee, H. et al.
Physiological Measurement

An Effective Model of Cerebrovascular Pressure Reactivity and Blood Flow Autoregulation

Jan 2018, Acosta, S., Penny, D., Brady, K., & Rusin, C.
Microvascular Research

Finding Representative Electrocardiogram Beat Morphologies with CUR

Jan 2018, Hendryx, E., Riviére, B. Sorensen, D., & Rusin, C.
Journal of Biomedical Informatics

Cardiovascular Mechanics in the Early Stages of Pulmonary Hypertension: A Computational Study

Dec 2017, Acosta, S., Puelz, C., Riviére, B., Penny, D., Brady, K., & Rusin, C.
Biomechanics and Modeling in Mechanobiology

Numerical Method of Characteristics for One-Dimensional Blood Flow

Aug 1, 2015, Acosta, S., Puelz, C., Riviére, B., Penny, D., & Rusin, C.
Journal of Computational Physics

An Effective Model of Blood Flow in Capillary Beds

July 2015, Acosta, S., Penny, D., & Rusin, C.
Microvascular Research
An Effective Model of Blood Flow in Capillary Beds

Emma Fauss, CEO and Craig Rusin, CTO

The groundwork for Medical Informatics (MIC) was laid when co-founder, Craig Rusin, PhD, was working as a researcher in the cardiology department at the University of Virginia and needed to leverage high-resolution physiological data to identify indicators of disease and predictors of patient conditions. At the time, no tools were available to aggregate, store, and process the volume of data needed to integrate with an analytics program to achieve his goals. Dr. Rusin solved the problem by building his own grid-computing platform, and the precursor for SickbayTM was born.

Dr. Rusin is now Assistant Professor of Medicine in the Department of Pediatric Cardiology at Baylor College of Medicine and Texas Children’s Hospital and Adjunct Professor in the Department of Computational and Applied Mathematics at Rice University. He and his team, as well as other physicians and researchers across the country, now use Sickbay’s Research Tools to expedite algorithm development and conduct studies to identify the precursors of disease. Highlights of Sickbay-enabled peer-reviewed research studies appear above.

The next step in MIC’s journey is unlocking this research from journals and transforming it into clinical reality by creating new, real-time software based predictive monitors. We believe that by creating these transformations, in conjunction with other researchers, physicians, and hospitals that we will be able to realize our vision of Saving Lives… bit by bit.

Schedule a demo to meet us in person