About PeraHealth
PeraHealth was a healthcare AI company known for its predictive analytics platform, primarily the Rothman Index. This FDA-cleared solution leverages real-time electronic health record (EHR) data, including vital signs, nursing assessments, and lab results, to calculate a patient’s acuity score. The Rothman Index provides clinicians with a comprehensive and continuously updated view of a patient’s physiological condition, enabling earlier identification of patient deterioration.
The company’s software solutions aimed to transform clinical decision support and improve the efficiency of healthcare delivery. By providing real-time and predictive analytics, PeraHealth’s tools helped healthcare providers identify at-risk patients sooner, leading to earlier intervention, improved quality of care, and reduced costs. The Rothman Index has been validated for use with neonatal, pediatric, and adult patients across various hospital settings, including emergency departments, general wards, and intensive care units. Its applications included reducing in-hospital mortality, decreasing unplanned transfers to the ICU, and facilitating more timely palliative care consults.
Focus Areas
Business Intelligence
| Technology | Cloud-native (Google Cloud), machine learning-powered, integrates with major EHR vendors |
What Physicians Need to Know
For physicians, PeraHealth's solutions, particularly the Rothman Index, offer a clear, continuous, and objective measure of patient condition, integrated directly into the EHR. This allows for quick visualization of a patient's full picture, enabling earlier detection of subtle deterioration and timely intervention. The system acts as a 'second pair of eyes,' augmenting bedside clinicians by providing real-time alerts and insights without requiring additional documentation. This proactive approach can lead to improved patient outcomes, reduced mortality, and more efficient resource allocation, including better ICU utilization and appropriate palliative care referrals.
PeraHealth's solutions are designed for seamless integration with all major Electronic Health Record (EHR) vendors, including Epic, Cerner, and Meditech. This leverages existing EHR investments and utilizes real-time data for predictive analytics. The platform is also available as a Google Cloud-based version, further enhancing its accessibility and scalability.
Products by PeraHealth
What the Web Says
PeraHealth, acquired by Spacelabs Healthcare in 2023, develops predictive enterprise software based on the Rothman Index, an FDA-cleared solution that quantifies patient acuity to help clinicians identify patient deterioration sooner. The company's products are designed to improve patient outcomes by leveraging EHR data and predictive analytics. While the product receives positive recognition for its impact on patient safety and clinical outcomes, employer reviews indicate a mixed to negative sentiment regarding company culture and management.
Overall: MixedStrengths
- Great product that helps reduce in-hospital mortality and unplanned ICU transfers.
- Utilizes the Rothman Index, an FDA-cleared and statistically validated patient acuity score.
- Integrates existing EHR data with predictive analytics for real-time clinical surveillance.
- Helps clinicians quickly visualize patient condition and identify at-risk patients.
- Backed by numerous peer-reviewed articles.
- Easy for customers to integrate the product into their daily routine.
Limitations
- Poor company culture with employees stepping over each other for advancement.
- Counterparts do not prioritize work hand-offs consistently.
- Management issues, with some work left undone due to siding with higher-ranking managers.
- Limited information available on recent employee reviews since the acquisition by Spacelabs Healthcare.
- Lack of recent product reviews on major platforms like G2, Glassdoor, and Capterra specifically for PeraHealth's core product.
Based on reviews from: Indeed.com, Zippia, Forbes, PitchBook, pharmaphorum, Spacelabs Healthcare
Last updated: 2026-10-23
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