Dexur, a leading provider of AI-driven unified quality and safety, risk, and incident management software, will acquire the Comparative Outcome Profile (COP) chart abstraction software from the Indiana Hospital Association (IHA). This strategic move aims to bolster Dexur's capabilities in offering comprehensive, AI-powered solutions to healthcare organizations.
The integration of COP into Dexur's unified software platform represents a significant advancement in the healthcare industry. Hospitals and healthcare providers will now have access to a modern, AI-driven platform that not only facilitates chart abstracted measures for submission to CMS, The Joint Commission (TJC), and other regulatory bodies but also enhances overall quality programs. This includes improvements in critical areas like CMS Star Rating and Value-Based Purchasing (VBP) which have chart abstracted measures such as SEP1.
Matt Browning, Senior Vice President of IHA, commented on the acquisition: "Dexur stands out as the best AI-driven solution to scale quality and risk management for hospitals. In the healthcare sector, there's a repetitive cycle of managing quality events, risk/incident management, and evaluating performance in programs like CMS Star Ratings. Dexur's innovative platform is uniquely positioned to unify these activities, offering a modern and efficient approach to managing these critical healthcare functions."
Nik Rao, CEO of Dexur, spoke about the acquisition aligning with the company's vision: "The acquisition of COP is a natural extension of Dexur’s mission to be the foremost AI-driven unified Quality and Risk Management platform. The inclusion of COP's chart abstraction capabilities is a crucial element in empowering healthcare organizations to scale their quality and risk management efforts while also achieving cost reductions. This move represents a significant step forward in our commitment to providing cutting-edge, comprehensive solutions in the healthcare sector."
This acquisition marks a new era in healthcare management, promising enhanced efficiency and effectiveness in quality and risk management through advanced AI-driven technology.
Elimination of Redundant Systems: Dexur's acquisition of IHA's COP chart abstraction software significantly reduces the need for multiple systems. For example, Currently, hospitals manage SEP1 measures using separate systems for abstraction, performance tracking, and quality program analysis. Dexur's integrated approach eliminates repetitive data entry, centralizing these functions into a single, efficient platform.
Focus on Improvement: With this consolidation, the primary focus shifts from data entry to improvement of healthcare services. The unified system enables hospitals to concentrate on enhancing patient care and operational efficiency.
Core Abstraction Process Enhancement: Dexur will leverage its advanced safety, event incident, and risk management platform for the core abstraction process. This includes:
Advanced Permissioning: The system will have sophisticated permission settings, determining who can update specific fields and other nuances.
Workflow Integration: Workflows, such as approvals for abstracted measures, will be streamlined within the platform, enhancing operational efficiency and compliance.
Advanced Form Building:
Skip Logic Implementation: Forms used for data entry will include advanced features like skip logic. This allows the forms to dynamically change based on user input, ensuring that only relevant information is collected and presented, thereby reducing the time and effort required for data entry.
Reusability of Patient and Encounter Information: The platform will enable the reusability of relevant data, such as patient demographics and encounter details, across different forms and processes. This feature eliminates the need for repetitive data entry, ensuring consistency in data across various modules and reducing the possibility of errors.
Key Area and KPI Identification: Dexur’s AI-driven reporting will provide deep insights into key areas and KPIs crucial for improvement. For instance, in the case of SEP1 measures, Dexur has identified over 10 different KPIs, such as the timing of initial lactate testing, which are essential for enhancing the underlying measure.
Benchmarks for Improvement: The platform will not only identify KPIs but also provide benchmarks against which hospitals can measure their performance, guiding them towards effective improvement strategies.
Leadership in Quality Program Reporting: As a leader in CMS Star Rating and VBP reporting, Dexur’s incorporation of chart abstracted measures will significantly impact the final quality program outcomes.
Direct Correlation Analysis: The enhanced system will enable hospitals to directly correlate their performance in chart abstracted measures with their overall impact on quality programs like CMS Star Ratings and VBP. This correlation provides a clear view of how internal processes influence external quality metrics.
In the short term, Dexur's primary objective following the acquisition of the Comparative Outcome Profile (COP) from the Indiana Hospital Association is to guarantee a smooth transition. This involves ensuring that the integration of COP into Dexur's existing system is executed with minimal disruption and risk. A key focus will be the enhancement of chart abstraction measures within the Dexur quality and risk management platform. This enhancement is aimed at providing a deeper and more nuanced understanding of the impact on critical healthcare quality metrics, such as CMS Star Ratings and Value-Based Purchasing (VBP) programs.
For the medium to long term, Dexur's goals are more expansive and ambitious. The company plans to extend its support to a broader range of healthcare measures. This includes an increased focus on inpatient and outpatient measures, Accountable Care Organizations (ACO), Merit-based Incentive Payment System (MIPS), health equity, and Electronic Clinical Quality Measures (eCQMs). A significant part of this long-term strategy involves the deployment of AI-assisted abstraction. This technology aims to substantially reduce the manual burden associated with data abstraction while simultaneously improving the accuracy of the data. This advancement is expected to further strengthen Dexur's position as a leader in AI-driven quality and risk management in healthcare, providing more robust and efficient tools for healthcare organizations to manage and improve their performance metrics.