USING AI & MACHINE LEARNING
IN THE ENTERPRISE
Miami + ON-DEMAND | September 18, 2024
Aikerim Belispayeva
Data Analyst at MSP Recovery
Result-oriented Data Analyst with a strong background in finance and extensive experience in leveraging data analytics to drive strategic decision-making and financial performance improvement. Possessing a unique blend of financial acumen and healthcare expertise, adept at analyzing clinical and administrative data to identify cost-saving opportunities, optimize revenue streams, and improve overall operational efficiency.
Watch in-person: September 18
Lightning talk: The ways Data Analytics can improve healthcare billing
In today’s healthcare landscape, data analytics plays a pivotal role in optimizing billing processes, reducing costs, and enhancing overall financial performance. This talk will explore how advanced analytics techniques can be applied to billing in healthcare to uncover inefficiencies, detect fraud, and streamline revenue cycle management. By leveraging data from electronic health records (EHRs), claims, and patient billing histories, healthcare providers can identify patterns that lead to delayed payments, denials, and underpayments. The presentation will cover key strategies for implementing predictive analytics to anticipate billing issues, machine learning models to automate and improve coding accuracy, and data visualization tools to provide real-time insights into financial performance. We will also discuss how data-driven decision-making can lead to more transparent billing practices, improved patient satisfaction, and compliance with regulations. Attendees will gain a deeper understanding of the transformative impact of data analytics in making healthcare billing more efficient and effective.