Recognizing the presence of a clinical syndrome is often delayed or missed entirely. Our platform provides actionable redundancy for inpatient clinical teams.
All
Team
Company
Physicians
Hospital
Partners
Mission
Innovation Details
Investor Info
Due Diligence Docs
Supporters
Comments
Updates
About our project
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.
About Our Team
Creator: Andrew Naidech
Location: Illinois
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
About Team Members
David Liebovitz
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 Twitter:@david126 LinkedIn:https://www.linkedin.com/in/liebovitz/
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.
How We Help Hospitals
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.
How We Help Partners
Bedside Intelligence integrates with established electronic health record systems, bringing increased value for investments that have already been made.
Challenge Mission
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 Planned
Key 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 Advantages
Our 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 Entry
Our 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 Date
Currently fully self-funded. Additional funds would enable pilot integration within a community hospital partner.
Multiple studies in the literature highlight the success of our approach. The Bedside Intelligence soltion brings diagnosis for several dozen problems into a single solution.
Regulatory Status
N/A
How we will use the funds raised
Support functioning prototype transtion to hardened cloud-based solution for healthcare.
Provide for independent security and privacy assessment.
Demonstrate full integration within a pilot healthcare system.
Generate analytics for ROI assessment.
Begin additional content set development for inpatient care outside of ICUs.
Thank You
Bedside Intelligence helps physicians, nurses, and other clinicians avoid diagnostic missteps when caring for vulnerable patients in the ICU. The platform allows the clinical team to see the forest as well as the trees. Making the diagonsis in a timely fashion leads to evidence-based care that saves lives, improves outcomes, and reduces costs.
Investor Info
Market Size
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.
Revenue Model
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.
Competitors
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.
Traction
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.
Due Diligence Docs
Please note that access to the company's confidential materials is limited. Click this button to request access from the Company and its representatives.
Help us find best new ideas to fund by telling us what you think. Your feedback goes
straight to the team behind this project in private, so tell them what you really think.
Recognizing the presence of a clinical syndrome is often delayed or missed entirely. Our platform provides actionable redundancy for inpatient clinical teams.
Thank you for visiting!
This area is for community members only. Please signin or signup and join our global community of people who care about medical innovation.
