Remote Patient Monitoring and Virtual ICUs

The Evolution of Virtual Critical Care and Remote Monitoring in a Post-Pandemic Era:

How Health Care Leaders Impacted the Bottom Line and Created a New Standard of Data-Driven Care

Panel Discussion Hosted by World Congress on June 14, 2021


Emma Fauss, PhD, MBA


Co-Founder and CEO

Medical Informatics Corp. (MIC)

David W. Li, MBA

Director, Clinical Information Systems

John Hopkins Health System

Emily Yoder

Analyst, Centers for Medicare


Ken Letkeman

Cheif Information Officer

Houston Methodist

Barbara-Jo Achuff, MD, FAAP

Assistant Professor

Dept. of Pediatrics, Cardiac Critical Care

Baylor College of Medicine

Texas Children's Hospital

Session Summary

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The pandemic highlighted opportunities for greater efficiencies in health care, and drove the evolution and acceleration of both in-patient and out-patient virtual care. Forward-thinking health systems reimagined how to use technology to address the challenges of ICU bed shortages, staffing shortages, and traditional ways of monitoring acute care patients.

This interactive panel discussion featured best practices and lessons learned from leading health systems and their approach to virtual critical care and remote patient monitoring. Listen to the full replay or check out session clips to:

  • Learn how various organizations implemented or expanded their virtual care offerings during the pandemic
  • Examine how organizations see virtual critical care and remote monitoring evolving in a post-pandemic era
  • Hear how these changes have enabled clinicians to practice data-driven medicine
  • Discuss ways technology can help organizations manage FTE shortages
  • Identify how to decrease costs and increase revenue with existing and new reimbursement codes
  • Explore the internal collaboration necessary to make a virtual care solution work at scale

What Were the Primary Drivers for Deploying Virtual Care Pre-Pandemic?

Ken Letkeman Discusses Remote Monitoring Drivers & Business Case Pre-Pandemic

Hear how Houston Methodist developed the business case to go beyond their virtual ICU to include remote patient monitoring and deterioration scores to accelerate approval before the pandemic.

Dr. Achuff Discusses Use of Historical Data for Virtual Care Pre-Pandemic

Hear how the TCH team used Sickbay for historical review to look at events and help find relative risk for some of their most fragile patients.

How did Virtual Care Change Post Pandemic?

David Li Discusses Rapid Scaling at Johns Hopkins to Meet Virtual Care Pandemic Needs

Hear how David Li and the IS team at Johns Hopkins were asked to explode deployment of remote patient monitoring from a single unit to over 140 beds across the system to meet pandemic needs and were able to go live with remote access to monitoring and ventilator waveform data only 3 days after contract signing and only 2 weeks after they were told of the need.

Dr. Achuff describes virtual rounding from 30 providers during COVID to over 120 now as the new standard

Hear how TCH was able to quickly pivot, keep staff free from disease, and prevent gaps in care by leveraging Sickbay, and how they expanded from 40 providers virtually rounding up to 120 providers and specialists now collaborating and sharing knowledge remotely.

Emily Yoder describes waivers and the evolution of CMS telehealth codes to meet pandemic needs

Hear Emily Yoder describe how CMS did 20 years of policy-making in 2 months using waivers to help remove statutory restrictions as well as add 300 services to the Medicare telehealth list.

What about Implementation? Best practices, recommendations, and lessons learned.

Ken Letkeman describes how Houston Methodist enhanced the business case to include deterioration algorithms and standardization

Hear how Houston Methodist was able to accelerate approval of their virtual ICU and remote monitoring by expanding the business case to include the ability to solve other needs, including replacing single use deterioration algorithms and leveraging collected data and tools to create their own algorithms, build alarms and models on top, and deploy back into the clinical setting.

David Li describes 5 categories of success including getting away from silos to long term solutions

Hear David Li’s best practice tips for successful technology deployments including a shift in previous practices where siloed decisions were made to looking now for solutions that can be deployed enterprise wide.

How does virtual care evolve? What do you think it will look like in the future?

Ken Letkeman describes expansion of virtual care into other service lines including CTM, ambulatory, and home

Hear Ken Letkeman discuss how Houston Methodist is expanding its virtual care technology across all service channels including central telemetry, ambulatory and outpatient expansion, and other models of care such including hospital at home.

Dr. Achuff describes building of predictive models to enrich every day practice

Listen to Dr. Achuff describes how TCH is leveraging the terabytes of incredibly rich, full historical information to build predictive models and algorithms that display what data was once thought benign to actually changing practice for the benefit of patients.

What about alarming and alerting?

Ken Letkeman describes building of 20 real-time vICU algorithms and expansion to support outcomes research

Hear Ken Letkeman provide an overview of the collaboration between the clinical team and MIC to build algorithms on top of Sickbay to alert clinicians, starting with base set necessary for virtual ICUs and then expanding to include outcomes research.

Dr. Achuff describes predictive modeling and building of relative risk algorithms

Listen to Dr. Achuff’s description of the importance of “easy” algorithms that are built just with historical data to look at impact of meds on hemodyamic changes, for example, as well as the more predictive modeling that will be done in future to build relative risk algorithms and new vital signs/alarms.

David Li describes integration of Sickbay™ and other data into Johns Hopkins precision medicine platform

Hear David Li’s overview of Johns Hopkins open source, precision medicine platform, and how Sickbay™ and other data sources enrich it, and what research projects are in the queue to improve medical care.

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Interested in setting up remote monitoring or flexible, scalable command centers at your facility?

Need access to waveform data from networked and non-networked devices to develop and deploy risk calculators and patient-centered analytics?