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What is Spotlight Analytics?
Spotlight harnesses cutting-edge machine learning methodologies to improve risk assessments and effortlessly incorporate them into any clinical workflow or technological system. Unlike numerous competitors that rely on old medical claims data, which can be outdated by as much as 90 days, we employ a comprehensive and up-to-date data repository. Our strategy integrates real-time clinical, billing, and claims information alongside proteomic and metabolomic data, allowing us to derive significant insights from cellular processes and metabolic pathways. While other providers may present a singular model grounded in a restricted data set, HBI is flexible, adapting to the varied data you have—utilizing all available information to refine and elevate our existing models. Additionally, we prioritize ongoing enhancement through annual recalibrations or adjustments whenever your data changes, ensuring consistently optimal outcomes tailored to your specific populations. This dedication to data versatility distinguishes us in providing relevant and accurate insights for healthcare professionals, ultimately improving patient care and decision-making. Through this innovative approach, we aim to redefine the standards of risk analysis in the healthcare industry.
What is Healthcare Data Analytics?
A significant portion, over 70%, of healthcare information resides in clinical documents like patient charts, discharge summaries, clinician notes, and reports, which enables our advanced Natural Language Processing and AI Engine to extract crucial concepts, attributes, and contextual details that enhance business insights, refine billing processes, evaluate and categorize patient risks, compute quality metrics, and collect patient sentiment and outcome information. By leveraging previously underutilized data sources, you can greatly advance your clinical research or business intelligence initiatives. Our extensive database encompasses thousands of clinical concepts, such as genomic biomarkers, symptoms, side effects, and medications, which facilitates the identification of disease characteristics and risk factors from clinical documents, thus improving patient stratification and raising the quality of care provided. Additionally, we prioritize the anonymity of data subjects by implementing effective document de-identification techniques, ensuring their privacy while still maintaining the data's utility. This dual focus on privacy and comprehensive data empowers healthcare organizations to make well-informed decisions grounded in the most extensive information available, ultimately leading to better patient outcomes and a more efficient healthcare system.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
HBI Solutions
Date Founded
2011
Company Location
United States
Company Website
hbisolutions.com
Company Facts
Organization Name
Inspirata
Date Founded
2014
Company Location
United States
Company Website
www.inspirata.com/solutions/healthcare-data-analytics/
Categories and Features
Population Health Management (PHM)
Analytics
Cost-of-Care Analysis
Data Storage
EMR/EHR Integration
Patient Engagement
Patient Identification
Patient Risk Stratification
Patient-Reported Outcomes
Payment Bundling
Predictive Alerts
Test & Treatment Reminders
Utilization Tracking
Categories and Features
Population Health Management (PHM)
Analytics
Cost-of-Care Analysis
Data Storage
EMR/EHR Integration
Patient Engagement
Patient Identification
Patient Risk Stratification
Patient-Reported Outcomes
Payment Bundling
Predictive Alerts
Test & Treatment Reminders
Utilization Tracking