Healthcare Uses Specialized Language. It Needs Specialized AI, Too.
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Healthcare Uses Specialized Language. It Needs Specialized AI, Too.
"Healthcare has always struggled with translation. Not between English and other languages but between the dialects spoken by different corners of the industry. Radiologists write in precise measurements. Psychiatrists craft narrative assessments. Oncologists think in probabilities and protocols. Even the word "stable" means different things to different specialists—sometimes "unchanged," sometimes "improving," occasionally "precarious but holding.""
Healthcare organizations face substantial communication challenges stemming from the diverse professional languages and documentation practices across medical specialties. Radiologists employ precise quantitative measurements, psychiatrists use narrative-based assessments, and oncologists rely on probabilistic thinking and standardized protocols. This fragmentation extends to fundamental clinical terminology, where terms like "stable" carry different meanings depending on the specialty context—ranging from unchanged status to improving conditions or precarious but maintained states. These linguistic and conceptual differences create barriers to effective information exchange, care coordination, and data integration across healthcare systems, necessitating improved standardization and translation mechanisms.
Read at Harvard Business Review
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