UNDERSTANDING AI: FROM BASIC ALGORITHMS TO HEALTHCARE APPLICATIONS
Author: Ramesh Pingili Journal Name: International Journal of Computer Engineering and Technology (IJCET) Impact Factor: 18.59 Publisher: IAEME
This article examines how Artificial Intelligence transforms healthcare delivery through demonstrated outcomes: 37.8% improvement in diagnostic accuracy, 52.3% reduction in medical errors, and 72.3% decrease in treatment delays across major medical institutions. AI applications in predictive analytics and imaging have achieved over 95% accuracy in early disease detection while reducing diagnostic time by 65.8% and generating average cost savings of $4.2 million per facility annually. Through analysis of implementation data from leading hospitals, the study reveals how AI integration enhances clinical workflows, improves patient outcomes, and enables precision medicine despite technical and ethical challenges.
THE INTEGRATION OF GENERATIVE AI IN RPA FOR ENHANCED INSURANCE CLAIMS PROCESSING
Author: Ramesh Pingili Journal Name: IJournal of Advanced Research Engineering and Technology (JARET) Impact Factor: 16.12 Publisher: IAEME
This research explores the integration of generative AI with Robotic Process Automation (RPA) to optimize insurance claims processing. Generative models streamline the handling of intricate scenarios by autonomously generating and processing complex claims. The use of synthetic data for training RPA systems allows for greater accuracy in managing rare or nuanced claims, improving scalability and operational efficiency. The study demonstrates how combining generative AI with RPA can significantly increase efficiency, accuracy, and scalability, optimizing insurance operations while reducing operational costs.
HOW WORKFLOW OPTIMIZATION IMPROVES PATIENT CARE
Author: Ramesh Pingili Journal Name: International Journal of Research in Computer Applications and Information Technology (IJRCAIT) Impact Factor: 14.56 Publisher: IAEME
This study examines how workflow optimization systems transform healthcare delivery through advanced technologies and AI integration. Research across multiple healthcare facilities demonstrates significant improvements: a 45% reduction in documentation time, 37.8% decrease in critical care response times, and average cost savings of $428 per patient encounter. Implementation of these systems, while challenging, shows consistent benefits: 42.8% reduction in scheduling conflicts, 47.2% decrease in hospital readmission rates, and 41.3% reduction in equipment downtime. The findings provide a roadmap for healthcare organizations transitioning to optimized, patient-centered care delivery models.
THE BASICS OF ROBOTIC PROCESS AUTOMATION IN INSURANCE CLAIMS
Author: Ramesh Pingili Journal Name: International Journal for Multidisciplinary Research (IJFMR) Impact Factor: 9.24 Publisher: IJFMR
By integrating robotic process automation (RPA) with artificial intelligence, insurance claims processing has achieved unprecedented efficiency and accuracy. Key results include a 90% reduction in processing time (from 72 hours to under 5 minutes), 40-70% cost reductions in claims operations, and 99% accuracy rates for standard forms. Insurance carriers implementing RPA report transformative benefits: a 65% decrease in customer service costs, 92% automation of routine customer interactions, and improvement in Net Promoter Scores by 30 points. The technology has particularly excelled in fraud detection, with AI-augmented systems identifying 53% more potential fraud indicators and saving mid-sized insurers an average of $4.2 million annually. Leading organizations are now achieving straight-through processing rates of up to 75% for standard claims, demonstrating how RPA is setting new benchmarks for operational excellence in insurance claims management
REVOLUTIONIZING TELEHEALTH WITH ROBOTIC PROCESS AUTOMATION (RPA)
Author: Ramesh Pingili Journal Name: International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET) Impact Factor: 8.5 Publisher: IJIRSET
Telehealth is transforming healthcare delivery, yet its rapid growth brings challenges in efficiency, data security, and patient engagement. This article highlights how Robotic Process Automation (RPA) and Artificial Intelligence (AI) address these issues by automating repetitive tasks, enhancing decision-making, and personalizing patient care. The COVID-19 pandemic significantly accelerated telehealth adoption, underscoring its potential to provide accessible, scalable, and effective healthcare solutions. Despite implementation barriers, their integration optimizes telehealth operations, improves outcomes, and ensures compliance. RPA and AI are reshaping telehealth into a scalable, inclusive, and proactive healthcare model, paving the way for a future of more innovative and more accessible care.
TRANSFORMING ANTI-MONEY LAUNDERING COMPLIANCE IN BANKING WITH AI-DRIVEN ROBOTIC PROCESS AUTOMATION
Author: Ramesh Pingili Journal Name: International Research Journal of Engineering and Technology (IRJET) Impact Factor: 8.2 Publisher: IRJET
Anti-Money Laundering (AML) compliance can be quite a challenge for banks. The regulations are complex, and they must handle many transactions, making everything even trickier. Traditional anti-money laundering (AML) processes can be demanding and often depend heavily on human input, making them susceptible to mistakes and leading to many false positives. This paper looks at how AI-driven Robotic Process Automation (RPA) can change the game for AML compliance. By automating the detection of suspicious activities, AI makes operations more efficient and helps lower the number of false alarms. With tools like machine learning (ML) and natural language processing (NLP), AI can sift through enormous datasets in real-time, effectively spotting potential risks with much greater accuracy.
The study looks into how some banks have successfully adopted AI-driven robotic process automation (RPA), which has helped them reduce compliance costs and improve their adherence to regulations.
TRANSFORMING SURGICAL PLANNING WITH AI, HYPER-AUTOMATION, AND RPA
Author: Ramesh Pingili Journal Name: International Research Journal of Modernization in Engineering Technology and Science (IRJMETS) Impact Factor: 8.1 Publisher: IRJMETS
Hyper-automation extends Robotic Process Automation (RPA) by integrating machine learning and artificial intelligence to optimize complex clinical workflows. This research investigates the use of hyper-automation in surgical planning, where AI models analyze medical imaging and patient history to assist in surgical decision-making. The system enhances surgical accuracy, reduces human errors, and accelerates planning processes, ultimately improving patient outcomes. This paper comprehensively analyzes hyper-automation, its healthcare applications, and the benefits of combining RPA with advanced machine learning for surgical interventions.
THE ROLE OF AI IN PERSONALIZING INSURANCE POLICIES
Author: Ramesh Pingili Journal Name: International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT) Publisher: IJSRCSEIT
This article analyzes the transformative impact of artificial intelligence on the insurance industry through four key innovations. It examines how AI has enabled real-time risk assessment and dynamic pricing through personalized policy optimization, integrated terabytes of daily customer data for precise underwriting, implemented advanced analytics frameworks for enhanced fraud detection and customer segmentation, and automated operations for improved efficiency. The findings demonstrate that AI implementation has achieved an 82% improvement in risk prediction accuracy, reduced operational costs by 67%, and increased customer satisfaction by 76%. However, these technological advancements necessitate robust ethical governance frameworks, particularly in data privacy and algorithmic fairness. The research comprehensively analyzes AI's role in reshaping insurance operations while emphasizing the critical balance between technological innovation and ethical implementation. These insights offer valuable guidance for insurance providers pursuing digital transformation while maintaining regulatory compliance and customer trust.