Optimizing Revenue Cycle Management in Healthcare: AI and IT Solutions for Business Process Automation

Аннотация

Revenue Cycle Management (RCM) stands as an essential healthcare financial element since it manages efficient claim handling combined with payment receipt processes that optimize organizational profits. The conventional RCM operational model suffers from multiple difficulties including inefficiencies, administrative burdens and regular billing mistakes that eventually generate revenue loss and operational delays. This paper investigates the potential of IT and AI solutions to transform RCM operations by streamlining procedures and boosting financial projection quality as well as improving claim verification. The research bases its analysis on real-life implementations of artificial intelligence-based billing automation in addition to robotic process automation (RPA) and predictive analytics solutions in healthcare finance domain. An AI- driven automated system decreases denials processing and speeds up payment times while improving financial performance which enhances healthcare service The American Journal of Engineering and Technology 141 https://www.theamericanjournals.com/index.php/tajet The American Journal of Engineering and Technology efficiency. The implementation of blockchain evaluate that routine claim denial rates reach 10 to 15 technology as an information technology solution percent of the submitted claims base while yearly improves both security and interoperability within administrative errors cost healthcare organizations healthcare financial systems. The ongoing challenges billions of dollars. RCM system effectiveness improves for healthcare organizations include the cost of through AI integration because the technology executes implementation along with workforce transitioning repetitive tasks and decreases human involvement and issues and privacy-related difficulties with data. The improves claim processing precision. Machine learning research findings demonstrate why healthcare algorithms together with predictive analytics systems organizations need to implement strategic AI and IT help detect billing inconsistencies while performing solutions for improving their Revenue Cycle error reduction functions and supplying real-time Management systems. Research should focus on how financial pattern analysis to healthcare providers who AI systems connect with value-based healthcare can prevent losses from revenue leaks. The approaches for maximum financial performance implementation of robotic process automation improvement. technology shows great promise for automated execution of regular financial operations including invoice production and money transfer and insurance Keywords: AI in Healthcare, Revenue Cycle claim screenings which occur without human Management, Business Process Automation, IT involvement. The advanced medical technology Solutions, Healthcare Finance. enhances both revenue cycle efficiency and compliance through accurate documentation and reduction of Introduction: Healthcare organizations need to deceptive practices. address serious financial along with administrative Healthcare financial management faces an important issues regarding revenue cycle management because challenge from data fragmentation which exists billing systems and insurance claim handling between multiple systems and platforms. Healthcare procedures become increasingly complex and need organizations manage financial operations through better regulatory compliance. Profit operations in separate computer systems which do not communicate healthcare require Revenue Cycle Management to bill with each other leading to long delays in processing and services correctly while delivering prompt payment financial matching activities. The healthcare industry processing for financial reimbursement. The has started implementing several IT solutions with conventional RCM methods struggle because of blockchain technology as a primary component for performance obstacles along with manual mistakes improving transparency while ensuring security and repeated work procedures which both reduce together with data integrity in their revenue cycle revenue streams and decrease operational management. Blockchain structures manage performance. Manufacturing solutions with Artificial transactions through a distributed framework which Intelligence (AI) and Information Technology (IT) allows instant evidence checking and battle less represents a change in business automation which information sharing between medical organizations and promises improved revenue collection and diminished their insurance partners and banking entities. financial losses while increasing healthcare Healthcare organizations achieve superior revenue organization operational efficiency. Assimilating AI analytics by bringing together electronic health records robotics and state-of-the-art information technology and AI-powered tools which allows them to identify solutions brings forward an effective solution to future billing trends and maximize financial operatio