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Review Papers | Information Technology | United States of America | Volume 13 Issue 12, December 2024 | Popularity: 4.8 / 10

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Cognitive Healthcare Platforms: Leveraging AI for Enhanced Patient Engagement and Care

Raghvendra Tripathi

Abstract: Cognitive healthcare platforms leverage artificial intelligence (AI) to transform patient engagement and optimize care delivery by facilitating smart utilization of resources and enhancing personalized treatment approaches. These innovative systems integrate vast amounts of clinical data, employing advanced algorithms to deliver actionable insights that support healthcare providers in making informed decisions. By optimizing scheduling and managing patient flows, cognitive platforms not only reduce wait times but also ensure that healthcare professionals can focus on delivering high-quality care. Importantly, these platforms streamline the prior authorization process, automating eligibility checks and expediting approvals for necessary treatments, which alleviates administrative burdens and prevents delays in patient care. A key feature of cognitive healthcare platforms is their capability for claim-level anomaly detection, where AI identifies discrepancies in claims data that might indicate potential fraud or billing errors. This proactive approach enables healthcare organizations to address issues before they escalate, supporting financial integrity and improving operational efficiency. Furthermore, the use of smart risk scores refines care personalization by assessing individual patient risks in real-time, allowing clinicians to prioritize interventions for high-risk patients. This comprehensive capability enhances the overall patient experience by tailoring treatment plans to meet the unique needs of everyone based on their health history and risk factors. In summary, cognitive healthcare platforms represent a transformative advancement in leveraging AI to improve patient engagement and care, driving efficiency and personalization that ultimately lead to better health outcomes and enhanced patient satisfaction.

Keywords: Data Products, Generative AI, Healthcare Data, Data Privacy, Artificial Intelligence (AI), Cognitive Computing, Patient Engagement, Personalized Medicine, Smart Utilization, Anomaly Detection, Real-Time Risk Scoring, Prior Authorization, Healthcare Analytics, Data Integration

Edition: Volume 13 Issue 12, December 2024

Pages: 300 - 306

DOI: https://www.doi.org/10.21275/SR241204074823

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