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Industry Landscape
The HealthTech industry, particularly in clinical data management and AI, is experiencing rapid growth driven by the need for interoperability, compliance, and leveraging data for improved patient outcomes. Focus on structured data and personalized medicine is paramount. Cloud-based solutions and advanced analytics are becoming standard.
Total Assets Under Management (AUM)
US Healthcare IT Market Size in United States
~395.7 Billion USD (2023)
(15.0% CAGR)
- Digital transformation in healthcare.
- Increased adoption of AI and big data analytics.
- Growing demand for integrated care and telehealth solutions.
Total Addressable Market
395.7 Billion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Generative AI for Clinical Documentation
Generative AI can automate the creation of clinical notes and reports from unstructured data, significantly reducing manual documentation burden and improving accuracy.
Federated Learning for Healthcare Data
Federated learning allows AI models to be trained across decentralized clinical datasets without sharing raw patient data, enhancing data privacy and security while enabling collaborative research.
Digital Pathology & AI Diagnostics
Integration of whole slide imaging with AI algorithms for automated analysis of pathology slides can improve diagnostic accuracy, efficiency, and aid in personalized treatment planning.
Impactful Policy Frameworks
21st Century Cures Act (2016) - Information Blocking Rule (2020/2021)
This rule, a key component of the 21st Century Cures Act, mandates that healthcare providers, health IT developers, and health information exchanges must not knowingly and unreasonably interfere with the access, exchange, or use of electronic health information (EHI).
This policy strongly favors mTuitive's interoperability and data-sharing capabilities, as it pushes healthcare organizations to ensure seamless data flow, which structured data facilitates.
Interoperability and Patient Access Final Rule (CMS-9115-F) (2020)
Issued by the Centers for Medicare & Medicaid Services (CMS), this rule requires certain payers (Medicare Advantage, Medicaid, CHIP, and plans on the federal exchanges) to implement APIs to enable patient access to their claims and encounter data, as well as provider directory data.
The increased demand for standardized, accessible data due to this rule aligns directly with mTuitive's core offering of structured data, making their solutions more critical for compliance.
Health Data Exchange via TEFCA (Trusted Exchange Framework and Common Agreement) (2022)
TEFCA is a nationwide framework developed by ONC to enable secure and standardized exchange of electronic health information across different networks and jurisdictions, aiming to establish a common set of rules for health information exchange.
As TEFCA promotes standardized data exchange, mTuitive's structured data capture is foundational for organizations to participate effectively and leverage shared information for improved patient care.
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