Industry Focus
Healthcare
Healthcare organizations are currently experiencing an unparalleled surge in hyperautomation initiatives. Some of the most critical healthcare processes, those that have resisted optimization for years, are now able to be solved for by simply leveraging AI
leveraging hyperautomation
Healthcare provider organizations are leveraging hyperautomation for everything
From improving profitability to clinical applications that help save lives. Healthcare payers are leveraging hyperautomation to streamline operations, identify fraud, and improve member engagement.
Providers:
Clinical Staff administrative burden reduction
Scaling healthcare delivery model by automating routine tasks like chart summarization and abstraction to eliminate mundane and repetitive tasks.
Pre-Authorization
Automate the work required to ensure proper payment, even before a procedure takes place.
Claims Management
Comprehensive automation of the common manual and repetitive tasks in the claims management process, such as inputting, processing, and evaluating documents and data. Prevents non-compliance associated with miscoded claims and ensures faster settlement.
Clinical Decision Support
Automation of CDS tools including scoring, EHR integration, alert filtering and summary and next-step recommendation automation.
Predicting ICD 10 Codes using Encounters
Use granular ICD-10 data to reduce hospital readmissions, reduce financial penalties, and provide valuable clinical insight to care teams.
Predicting Length of Stay
Predicting patient length of stay, hospitals can achieve more efficient operations, improved resource management, and better patient outcomes.
Healthcare Supply Chain
monitor orders against agreed delivery times, real-time automation to log deliveries, inform departments when stock has arrived, update live records of what’s in stock, and automatically reorder products before stock is depleted.
Patient Outcomes Analysis
Facilitate proactive interventions for improved patient outcomes and risk reduction. Identify inefficiencies leading organizations to allocate resources effectively creating better financial performance.
30 Day Re-admission Insights
Monitor readmission rates to understand quality of care and improve their performance and Improve care transitions by facilitating post-discharge follow-up and support. Analyze patient data to identify high-risk patients more likely to be readmitted.
Access to Care Analysis
Identify disparities in access to care among different demographic groups, geographic regions, or socioeconomic backgrounds. Enhancing patient satisfaction- improve access to care, reduce wait times, and personalize care plans based on predictive analytics.
Payers:
Customer Service AI Guides
Facilitate information gathering, customer authentication and document processing/verification.
Claims Assessment
Using AI to understand and analyze claims to identify whether they are in line with the customers’ policy.
Redaction
Use of Machine Learning to identify PII and PHI and redact/obscure data for non-production, development or external use.
Member Onboarding
Automation of the onboarding process and analytics to spot complex or problematic cases and escalate.
Billing Inquiry
Answer billing questions using natural conversation, often without engagement from a customer service representative.
Prior Auth Review
Use of AI and ML to automate over 75% of existing manual review volume.