The problem we solve: Inpatient medical care has an unacceptably high rate of failure to diagnose, which leads to failure to start appropriate therapy, leading to complications, death, and higher costs. For example, only about half of patients receive appropriate ventilatory care for acute lung injury. There is no redundancy when a miss occurs. Our solution provides this redundancy for specific scenarios in which failure is not an option.
About our solution: Bedside Intelligence identifies diagnoses from routinely available data, leading to appropriate therapy, improving patient care, saving lives, and reducing costs.Progress to date:
We have developed and patented the intellectual property for the solution. A prototype has been piloted but not yet interfaced and provided value as anticipated. Solutions in this space are a "when" not an "if" and we have IP, content expertise, and informatics expertise.
Creator: Andrew Naidech
Bio: I use in-house and multi-center data sets to drive discovery and improve outcomes, particularly patient-centered outcomes at Northwestern Medicine.
Hospital Affiliation: Northwestern University
Title: Professor, Physician Informatics Director, Intensivist
Advanced Degree(s): MD, MSPH
Executive Medical Director for Informatics Education and Innovation, MD
Biography: I am an executive at UChicago Medicine, and have specific skills in informatics, clinical medicine, diagnostic error, electronic health records, and engineering.
Title: Executive Medical Director for Informatics Education and Innovation
Advanced Degree(s): MD
A distracted work environment causes physicians to miss the forest for the trees, and impairs their work. Physicians set the ventilator for lung protective strategy only in about half of eligible patients. Bedside Intelligence prompts physicians to confirm about three dozen common inpatient diagnoses, leading to evidence-based treatment that saves lives and improve patient outcomes. These prompts are evident if and when needed and provide redundancy ensuring key failures do not occur.
Delays and failure to start appropriate treatment in acutely ill patients leads to longer length of stay, higher costs, worse performance on quality metrics, higher rates of death, and other poor outcomes. Prompting your staff to "recognize the forest," as well as the trees, leads to starting treatment faster, lower costs, and better quality.
Bedside Intelligence integrates with established electronic health record systems, bringing increased value for investments that have already been made.
Affiliation(s)Dr. Andrew Naidech is presently a Professor of Neurology (Stroke and Neurocritical Care) , Anesthesiology, Medical Social Sciences, Neurological Surgery and Preventive Medicine (Health and Biomedical Informatics) at Northwestern University in Chicago. Dr. David Liebovitz is presently an Associate Professor of Medicine at the University of Chicago and the Executive Medical Director for Informatics Education and Innovation
Key Milestones Achieved and PlannedKey milestones include: Functioning Prototype Patent granted Pilot (without EHR integration) In the next 6 months we intend an integrated pilot at a community based hospital system.
Our Competitive AdvantagesOur system, following our patented methodology, provides critical diagnostic redundancy for time sensitive ICU care scenarios. Further, our platform supports extension easily for additional domains. Our approach supports both on-site implementation and the growing market of virtual ICU care contexts in which tools like this are essential to focus attention appropriately among the numerous patients monitored.
Barriers to EntryOur patent provides significant barriers to entry by competitors. Further, the combined team expertise including both ICU and informatics expertise, is also not present among nascent competition. There is no market leader in this space.
Funding, Partners and Alliances To DateCurrently fully self-funded. Additional funds would enable pilot integration within a community hospital partner.
One of five Americans dies in an ICU, underscoring the large market size. The market includes all inpatient hospitals in the US, particularly those with emergency departments and intensive care units. Of note, there is a worsening shortage of intensive care physicians in the US and worldwide, hightening the need for automated decision support.
Projected 3 Year Growth
We intend to acheive 5-10% market penetration in three years with a combination of established partners including integration partners and EHR vendors.
Bedside Intelligence will use a subscription model, with monitoring costs per bed per day, allowing us to scale our solution quickly because marginal costs are small.
Bedside Intelligence's strengths include outstanding domain expertise, anchored by two physician founders, and granted patent rights. There is no current market leader or even an established and focused safety vendor with a large customer base in this space.
Discussions with multiple partners are in progress as well as a commitment from an established integration vendor for work with us on a future pilot site.
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