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Enabling virtual care and patient-centered AI at scale


Medical Informatics Corp. (MIC)

Overview of Medical Informatics Corp. (MIC)

Medical Informatics Corp. (MIC) is helping hospitals and healthcare systems consolidate technologies, standardize clinical workflows, improve staff capacity, reduce burnout, and reduce costs by unlocking real-time physiologic waveform data that is currently discarded, while creating the foundation to develop and deploy real-time, patient-centric AI into clinical care at scale.

Founded in 2010, MIC is based in Houston in the heart of the Texas Medical Center, where the diverse team of innovative engineers, clinicians, mathematicians, researchers, and entrepreneurs work side by side with providers and members of the healthcare team to create groundbreaking, life-saving, web-based applications with the goal of empowering healthcare leaders to realize the vision of patient-centered care.

Application Name/Description

The Sickbay Platform, MIC’s FDA-cleared, real-time clinical surveillance-as-a-service (RTCS) solution, provides a singular, interconnected architecture that is empowering care teams to help them save more lives and create a new standard of data-driven care to enable:

rapid scaling of vendor-neutral remote patient monitoring across any inpatient setting

the creation of flexible virtual ICUs, central telemetry and other command centers that standardize workflows and can scale up and down as needed based on census, staffing, and/or vendor consolidation/replacement

the ability to accelerate research, grant submission, and the development and deployment of patient-centered AI back into clinical care, and

the pathway to expand functionality to meet other clinical needs including ambulatory and home monitoring on the same system.

Pre-Requisites (recommended system configuration/requirements to Install)

The Sickbay platform features a web-based interface including web based analytics applications that help manage cohorts, enable large scale validation and retrospective analysis, or leverage open application programming interfaces (APIs) and a standard development kit (SDK) to accelerate research and AI. Through these interfaces, application developers can program and dynamically control real-time streaming waveform data. Below are the system requirements to deploy Sickbay:

Hardware/VM Recommended Specs

Recommended Scalable Server Configuration

Sickbay Servers: DAQ Database HL7 Informatics Web Test§
CPU 8 cores 8 cores 8 cores 8 cores 8 cores 2 cores
HDD (OS) 30 GB 30 GB 30 GB 30 GB 30 GB 30 GB
HDD (data) 500 GB 200 GB 100 GB 12 TB / year* none 500 GB
RAM 16 GB 16 GB 16 GB 16 GB 16 GB 16 GB
NIC 1Gb Ethernet 1Gb Ethernet 1Gb Ethernet 1Gb Ethernet 1Gb Ethernet 1Gb Ethernet
OS Windows Server 2016 or 2019 64-bit

*Estimated for 100 beds at average data rate of 250 MB/bed/day for 1 year of storage. (Bitlocker encrypted)

§ A test server is strongly recommended with a similar or identical deployment environment as the production deployment.

Usage and Examples (Business Value examples/deployments)

Houston Methodist vICU
Video clips from World Congress panel discussion
Frost & Sullivan Virtual Critical Care Leader
Customer Spotlight: UAB Medicine Uses AI to Access New Data

Additional Information

Go to www.michealthcare.com to learn more about the platform, see research enabled by Sickbay, and view video clips from a recent World Congress Panel discussion.. Also visit www.healthcaredatamatters.com to see video clips and full webinar replays from providers, data scientists, and other healthcare leaders who have leveraged Sickbay to accelerate research, support care, and improve outcomes.

Where to Purchase

Intel Funding Support available until December 31, 2021 - https://www.michealthcare.com/healthcare-it-funding/

Optimized for Intel® Smart Edge

Demo or Trial

Contact MIC (info@michealthcare.com) to request a demo.

Where to Purchase

For more information about MIC’s solutions www.michealthcare.com or email info@michealthcare.com.

Related Material

Intel Solution Brief: Transformative Healthcare Infrastructure for Explosive Data Growth

Customer Spotlight: UAB Medicine Uses AI to Access New Data