ElectrifAi | Healthcare Industry

Destination Next: A data-driven future for healthcare operations

As the business landscape takes the next big leap into digital era, the integration of Artificial Intelligence (AI) and Machine Learning (ML) in the healthcare industry brings forth a range of benefits. Automated revenue capture ensures precise coding and reduced billing errors. ML models analyze historical claims data, predicting denials for proactive prevention. AI-powered scheduling optimizes appointments, minimizing wait times. AI and ML algorithms identify cost-saving opportunities and streamline procurement. Contract analytics automate compliance monitoring and detect discrepancies, while ML models accurately predict costs for better financial planning. AI-driven collections management automates billing, offers personalized payment plans, and prioritizes collections, reducing bad debt. Together, these technologies have the power to transform healthcare operations, improving efficiency and financial outcomes and ensuring better patient care.

Unlock the transformative impact of ML-powered solutions

ElectrifAi’s ML-powered solutions empower healthcare facilities and institutions to stay ahead in a highly competitive landscape by driving revenue growth, reducing costs and risks, and improving operational efficiency

Boost revenue growth by automating revenue capture processes, reducing billing errors, identifying trends, predicting claim denials, and enabling proactive measures

Cut costs through advanced analytics and predictive modeling to identify areas for optimization, streamline processes, reduce inefficiencies, optimize cost structures, and achieve significant savings without compromising patient care

Mitigate risk by leveraging predictive models and real-time monitoring to identify potential risks and take proactive measures to enhance patient safety and ensure compliance with regulatory standards

Improve operational efficiency by automating manual processes, optimizing resource allocation, and streamlining workflows, resulting in informed decisions, timely care, and better patient outcomes

Healthcare Industry Solutions

Revenue capture

Stop revenue leakage by predicting missed claims and incorrect coding overlooked by traditional rules-based systems using AI/ML. Self-learning ML to improve over time with user interactions and new data

Bolster revenue efficiency

Improve revenue forecasting and reduce revenue leakage through changes to operations using the new insights on revenue capture. Predict and capture claims accurately in the first pass

Inventory management

Reduce cost, and improve patient care by managing optimum PAR levels with PAR level prediction and ensuring healthy inventory turnover rate and promote greater control over inventor ordering

Schedule optimization for critical equipment and therapies

Optimize scheduling from patient admission to staff and critical equipment scheduling with ML-powered dynamic scheduling—leverage historical patterns and clinical dependencies to deliver faster and better patient care while reducing the backlog and improving asset utilization

Real-time location systems

Achieve ML-powered inventory optimization for advanced asset management predictive analytics. Reduce costs, streamline processes, and enhance patient care for healthcare facilities by analyzing critical medical equipment utilization levels

Claims fraud prevention

Detect payer claims fraud early with ML-powered claims review process to identify high instances of overutilization, medical necessity, and coding abnormalities

Claims audit

Improve claims audit effectiveness and coverage with the efficiency of ML-powered claims review

Automatic call summarization

Achieve call summaries for all calls, saving 50% call wrap-up time on average to eliminate the time spent and the need to manually capture call summaries, boosting medical call center productivity and consistency

100% Call scoring

Score all calls consistently, identify areas of improvement, and promote best practices to enhance customer experience, agent performance, and new agent onboarding

Real-time sentiment analysis

Analyze call interactions' sentiment to gauge customer satisfaction levels, enabling real-time corrective actions for improved overall satisfaction

Business-specific call reason

Prepare agents to identify precise reasons for customer calls. Capture accurate, multi-tiered call-reasons without any human bias. Acquire a better understanding of the motives behind customer calls

Comprehensive agent insights

Assess agent performance using insights on first-call resolution rate, politeness, call hygiene, and agent comparisons, while informing corrective actions as needed

Customer-centric trending topics

Extract trending topics from calls automatically to prepare and equip agents with the knowledge to address anticipated issues effectively

Call center workforce optimization

Optimize staffing with multilingual agents, predict language needs for incoming calls, and route calls to skilled representatives efficiently

Spend analytics

Uncover negotiating leverage, provide actionable recommendations for savings, and de-risk the supply chain with ML-powered spend analytics

Contract analytics

Identify risks, and improve decisions by reading, analyzing, and comparing commercial contracts using AI to deliver business-critical insights

Working Capital Payment Term Optimization

Strengthen working capital with payment term optimization, optimizing payment terms, maximizing cash, avoiding penalties, and negotiating favorable discounts to enhance liquidity

Value Proposition

With low upfront investment, quick ROI, and enhanced operational efficiency, our solutions help you unlock the true potential of data to drive superior business outcomes in just 6-8 weeks