KelaHealth Surgical Intelligence

by KelaHealth  · Based in United States → — Bringing insights from millions of patients to every patient.
Cardiothoracic Surgery General Surgery Orthopedics
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Overview

The KelaHealth Surgical Intelligence Service leverages AI and machine learning to deliver patient-specific predictive insights and recommended interventions at critical decision points throughout the surgical process. This AI-enabled API integrates with established medtech and software industry partner applications, enriching existing solutions and helping hospitals to “Operate Smarter” by using data to improve the Perioperative Surgical Process. KelaHealth’s platform aims to enhance surgical care by delivering stratified patient risk scoring, preventing avoidable complications, and ultimately improving patient outcomes and generating significant hospital savings. The algorithms are trained on millions of surgical procedures, interventions, and outcomes, and can be tailored to each hospital using EHR, robotic, and Social Determinants of Health (SDOH) data.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Patient-specific predictive insights and risk stratification
  • AI-enabled API for insights at critical decision points
  • Accurate prediction of surgical complications and adverse outcomes
  • Recommendations for stratified interventions
  • Tailored models using EHR, robotic, and SDOH data
  • Increase patient throughput and appropriate utilization
  • Increase care team productivity and streamline processes
  • Improve patient safety indicators and reduce hospital acquired conditions
  • Decrease readmissions
  • Real-time patient risk analysis

Use Cases

  • Predicting and preventing surgical complications
  • Personalizing patient care pathways and interventions
  • Optimizing resource utilization and clinical operations
  • Reducing hospital readmissions
  • Improving patient safety indicators and reducing hospital-acquired conditions
  • Tailoring medical device utilization based on patient risk

What Physicians Need to Know

Evidence Base
KelaHealth's platform is powered by AI and machine learning algorithms, analyzing millions of patient records and over 200 variables per patient, including demographics, clinical history, and lab values. Models are trained on national datasets and then tailored to a hospital's specific patient population using local EHR data and 'transfer learning' to enhance prediction accuracy. The platform combines machine learning-based risk stratification with evidence-based interventions.
Clinical Validation Studies
A peer-reviewed study in the Journal of Surgical Research demonstrated that KelaHealth's platform was associated with a 21% reduction in acute kidney injury (AKI) and a 24% reduction in costly readmissions following colorectal surgery at Duke University Medical Center. This study involved 665 surgical patients and 1,437 historical control patients. Previous work at Duke also showed a 41% reduction in surgical site infection (SSI) and $231-$458 per patient cost savings in vascular surgery. The company reports prediction accuracy between 80% and 95%.
Alert Fatigue Management
The platform is designed to mitigate cognitive overload and decision fatigue by delivering actionable, patient-specific recommendations and insights in real-time within the existing clinical workflow, avoiding the need for clinicians to switch interfaces or log into multiple applications.
Guideline Update Frequency
While not explicitly stating a traditional guideline update frequency, the platform utilizes continuously learning and adapting AI/ML models. The use of 'transfer learning' allows models to strengthen predictions by applying knowledge from broader datasets to local ones, implying an ongoing process of refinement and adaptation based on new data.
Clinical Workflow Integration
The KelaHealth platform is embedded within the traditional clinical workflow for real-time deployment. It offers direct EHR integration and flexibility for streamed or batch predictions. Clinicians receive real-time patient risk status and recommended interventions through the EHR, supporting decision-making throughout the perioperative process, from preoperative planning to post-discharge care.
Decision Audit Trail
The platform tracks patient outcomes and cost savings to continuously refine and enhance patient safety and demonstrate hospital success. This outcome tracking implies a record-keeping function that can support auditing of decisions and interventions.
Physician Tip

Leverage KelaHealth's personalized risk assessments and recommended interventions to proactively manage surgical complications and improve patient outcomes. Utilize the real-time insights integrated into your EHR to make more informed, patient-specific decisions throughout the entire perioperative process. Engage with the platform's continuously learning AI models to understand nuanced patient risks and tailor care pathways effectively, moving beyond generalized approaches.

KelaHealth's platform offers direct EHR integration and can provide streamed or batch predictions. It also integrates via an AI-enabled API with established medtech and software industry partner applications, aiming for seamless delivery of insights within existing workflows without requiring new interfaces.

Details

Category Clinical Decision Support & Reference, Surgical AI
Pricing Contact for pricing
DeploymentCloud-based (SaaS), API-driven integration with partner applications and EHR systems.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated

No explicit FDA clearance found for the software platform in search results. While 'FDA Approval' was mentioned in a general list of categories for a press release, it was not specifically attributed to KelaHealth's software product.
Integrations
EHR Not specified
Specialties Cardiothoracic Surgery, General Surgery, Orthopedics

Ratings & Reviews

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Clinical Value
Ease of Use
Integration
Support & Docs
Value for Money

Press & Coverage

Business Wire
KelaHealth Surgical Intelligence Platform Helps Surgeons Avoid Serious Complications
A new peer-reviewed journal article published in the Journal of Surgical Research indicates that KelaHealth's Surgical Intelligence Platform was linked to a 21% reduction in acute kidney injury (AKI) and a 24% reduction in readmissions after colorectal surgery. This platform uses AI to identify high-risk patients and prompt interventions to mitigate risks.
2023-11
TechTarget (Health IT Analytics)
Artificial Intelligence Platform Deployment Aims to Enhance Surgical Care
Advocate Aurora Research Institute has deployed the KelaHealth Surgical Intelligence Platform, which uses AI and machine learning to improve surgical care outcomes across their sites. The platform will help care teams review patient needs and surgical operations to identify the most beneficial methods in subjective circumstances.
2023-04
Fierce Healthcare
Advocate Health's research arm pilots KelaHealth's predictive software to assess surgical risk, improve outcomes
Advocate Aurora Research Institute is piloting KelaHealth's Surgical Intelligence Platform to improve surgical care outcomes across Advocate Health's sites. This 12-month project uses machine learning and predictive analytics to evaluate surgical techniques, reduce variability, and enhance patient outcomes.
2023-04
Advocate Aurora Health
Advocate Aurora Research Institute uses AI and machine learning to transform surgery
Advocate Aurora Research Institute is collaborating with KelaHealth to leverage its machine learning models and predictive insights to transform surgical care. The project will analyze surgical and patient outcomes to personalize surgical care for each patient.
2023-04
Advocate Aurora Research Institute
Research Media Coverage | Advocate Aurora Research Institute
This page highlights media coverage, including the deployment of KelaHealth's Surgical Intelligence Platform by Advocate Aurora Research Institute to enhance surgical care through AI and machine learning. The institute aims to use the platform to assess surgical risk and improve outcomes.
2024-08
HealthLeaders Media
New Project Uses AI and Machine Learning to Improve Surgical Care
The Advocate Aurora Research Institute is utilizing KelaHealth's Surgical Intelligence Platform, which employs AI and machine learning, to enhance surgical care. This initiative aims to improve patient outcomes by leveraging predictive analytics in surgical procedures.
2023-04
TechTarget (Health IT Analytics)
Researchers Develop AI Feedback Tool to Improve Surgeon Performance
The Advocate Aurora Research Institute is leveraging KelaHealth's Surgical Intelligence Platform to use AI and machine learning to determine the efficacy of robotic surgical techniques and enhance surgical care delivery. This is part of a broader interest in using AI to improve surgical outcomes.
2023-04

Videos

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Suggest an Edit → | Last Verified: 2026-04-27 | First Added: 2026-04-27

Investors who backed KelaHealth Surgical Intelligence

Funded through the company that built this tool.

Metaplanet
VC T3
Tallinn, Estonia
$1M-$5M
Metaplanet, in its venture form, has historically been associated with Roko Mijic and a thesis that blends frontier technology, biotech, and ambitious…
AI/ML in Healthcare Biotech
Intuitive Ventures
Corporate VC T3
Sunnyvale, United States
$1M-$5M
Intuitive Ventures is the corporate venture arm of Intuitive Surgical, focused on investing in companies that advance minimally invasive care, surgical robotics…
AI/ML in Healthcare Biotech
E12 Ventures
VC T3
Boston, United States
$250k-$1M
E12 Ventures is an early-stage venture firm with website, LinkedIn, and Crunchbase footprint, with positioning that suggests a thematic or generalist technology…
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