Transforming and Democratizing Clinical Workflows: The Role of Large Language Models (LLMs) in Disrupting Healthcare

David M. Liebovitz

Chapter 3 in Digital Transformation in Healthcare, 2025, pp 33-60 from World Scientific Publishing Co. Pte. Ltd.

Abstract: The following sections are included:IntroductionCurrent State of Clinical Workflows: Pain Points from the Clinician PerspectiveAdministrative overload: The silent epidemicOutdated communication systems: Fragmentation and inefficiencyTime constraints: A race against the clockBottlenecks in access to specialized careConclusionCurrent State of Healthcare Delivery: The Patient’s PerspectiveCommunication breakdowns: A barrier to clarity and connectionFragmented systems: A maze of care coordinationThe time crunch: Limited provider accessSelf-management: Empowerment or burden?Case study: Lisa’s struggle in a fragmented systemConclusionReferencesThe AI-Powered Clinic: LLMs Transforming Healthcare DeliveryAutomating documentation and administrative tasksEnhancing communication and care coordinationOptimizing patient–provider interactionsImproving access to timely careConclusionDemocratizing Healthcare: Empowering Patients with AI ToolsAI-driven personalized guidanceAI-facilitated second opinions and safety monitoringEnhancing patient advocacy and cost-effectivenessExpanding access to careCase study: Empowering patient engagement with AIConclusionEthical, Regulatory, and Operational ChallengesEnsuring accuracy and reliabilityProtecting data privacy and securityNavigating regulatory challengesAddressing equity and accessEnsuring transparency and building trustAddressing bias and discriminationMaintaining the human touch in healthcareConclusionThe Future of Clinical Workflows and Patient-Led Disruption with LLMsFully integrated and AI-enhanced systemsPredictive analytics and preventive careFrom augmentation to transformationThe rise of patient-initiated careEthical and human-centered innovationsConclusionConclusionAppendix: Resources for Further ExplorationFurther ReadingGeneral overviews of AI and LLMs in HealthcareCurrent challenges in clinical workflowsLLMs and NLP in healthcareImpact on provider workflows and patient experiencesFuture directions and ethical considerations

Keywords: Digital Transformation; Healthcare; Artificial Intelligence; Innovation; Large Language Models; GenAI; Simulation; Wearable Devices (search for similar items in EconPapers)
JEL-codes: I10 I18 O33 (search for similar items in EconPapers)
Date: 2025
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