How Healthcare Communication Platforms Can Harness Generative AI in a HIPAA-Compliant Way

The following is a guest article by Nate MacLeitch, Founder and CEO at QuickBlox The demand for AI-powered Communications Platform as a Service (CPaaS) in healthcare is evident: 75% of executives believe that generative AI has reached a stage where it is poised to reshape the healthcare industry. When the sector is set to face shortages of between 37,800 and 124,000 physicians by 2034, generative AI could alleviate administrative work, such as summarizing patient calls and managing electronic health records (EHRs), to allow medical staff to focus on improving patient care. Yet, privacy laws and a fragmented market have kept the healthcare industry from reaping generative AI’s full potential — until now. The Health Insurance Portability and Accountability Act of 1996 (HIPAA) is a federal law that safeguards sensitive patient health information (PHI) from being disclosed. Up to now, HIPAA-compliant data security and generative AI haven’t gone hand-in-hand as AI is trained on large datasets centrally and often by third parties. However, de-identification and federated training of deep-learning models are now helping industries leverage AI to stay protected. Healthcare professionals must explore the benefits of generative AI for communications platforms to provide the best service to their patients. But, more importantly, know how to implement them in a HIPAA-compliant way to keep patients and their data safe. Benefits of Generative AI for Healthcare Communication Platforms...
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: AI/Machine Learning Health IT Company Healthcare IT Regulations Security and Privacy Communications Platform as a Service CPaaS EHR ePHI Generative AI HIPAA Large Language Models LLM Nate MacLeitch Natural Language Processing Source Type: blogs