The global healthcare interoperability market is anticipated to grow at a significant CAGR of 10.5% during the forecast period (2023-2030). AI- and, more specifically, large language models (LLMs) have a unique opportunity to smooth the edges of legacy system conversion and the adoption of a standard format which is anticipated to increase the adoption of this solution globally. LLMs have demonstrated enormous prowess in interpreting and contextualizing human language. ChatGPT reached 100 million users within two months of its release, making massive ripples. Prior to that, the gold standard for product adoption was TikTok, which took nine months to reach 100 million users. The technology seems to be a breakthrough, as it (and others) have the potential to influence many industries, including healthcare.
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AI has already been introduced into diagnostics, and image models have already begun to identify sarcomas in patients. Language models are able to interpret human language by contextualizing words in semantic space, which is a representation of a word's meaning. Unlike existing logic, which might map the word "doctor" to "provider" in a simplified format conversion, language models can parse information semantically. Embracing the semantic inference power of LLMs represents a step-function improvement over existing strategies for interoperability. Systems of data that are interoperable represent a large improvement to patients, providers, insurers and researchers. Hence, the implementation of LLMs in healthcare interoperability solutions to drive the global market growth.
Market Coverage
• The market number available for – 2022-2030
• Base year- 2022
• Forecast period- 2023-2030
• Segment Covered-
o By Level
o By Type
o By End-User
• Regions Covered-
o North America
o Europe
o Asia-Pacific
o Rest of the World
• Competitive Landscape- including Koninklijke Philips NV, EPIC Systems Corp., NextGen Healthcare, Inc., Oracle Corp. (Cerner Corp.), Koch Software Investments (Infor, Inc.) among others.
Key questions addressed by the report
• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who is the leader in the market?
• How are players addressing challenges to sustain growth?
• Where is the investment opportunity?
Global Healthcare Interoperability Market Report Segment
By Level
By Type
By End-User
Global Healthcare Interoperability Market Report Segment by Region
North America
• United States
• Canada
Europe
• UK
• Germany
• Italy
• Spain
• France
• Rest of Europe
Asia-Pacific
• China
• India
• Japan
• South Korea
• Rest of Asia-Pacific
Rest of the World
• Latin America
• Middle East & Africa
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