# Structured Data * **Definition:** Data that is organized in a defined manner, making it easily searchable and analyzable, crucial for effective healthcare management. * **Taxonomy:** CTO Topics / Structured Data ## News * Selected news on the topic of **Structured Data**, for healthcare technology leaders * 2K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 5/14/2025 | [**Beyond FHIR: Why True Healthcare Interoperability Needs AI**](https://hitconsultant.net/2025/05/15/beyond-fhir-why-true-healthcare-interoperability-needs-ai/) | [[HIT Consultant]] | | 5/8/2025 | [**Hospital Asset Management Market is expected to generate a revenue of USD 414.18 ...**](https://www.prnewswire.com/news-releases/hospital-asset-management-market-is-expected-to-generate-a-revenue-of-usd-414-18-billion-by-2032--globally-at-30-60-cagr-verified-market-research-302450001.html) | [[PR Newswire]] | | 4/14/2025 | [**Unstructured Data Management Platforms: Leading the Way to a Smarter, Data-Driven Future**](https://www.cioreview.com/news/unstructured-data-management-platforms-leading-the-way-to-a-smarter-datadriven-future-nid-40901-cid-18.html) | [[CIO Review]] | | 4/3/2025 | [**The Definition of Unstructured data**](https://www.aol.com/news/definition-unstructured-data-211206819.html) | [[AOL]] | | 3/24/2025 | [**'Meat computers,' ambient AI akers: What 65 leaders are investing in this year**](https://www.beckershospitalreview.com/hit-speaker-series-q-a/meat-computers-ambient-ai-coffee-makers-what-64-leaders-are-investing-in-this-year/) | [[Beckers Hospital Review]] | | 3/18/2025 | [**Unstructured and Carahsoft Partner to Transform Public Sector Data Management**](https://finance.yahoo.com/news/unstructured-carahsoft-partner-transform-public-160000756.html) | [[Yahoo Finance]] | | 3/12/2025 | [**Edifecs Expands Risk Adjustment Solution with Point of Care Suspects Offering - Yahoo Finance**](https://finance.yahoo.com/news/edifecs-expands-risk-adjustment-solution-130400857.html) | [[Yahoo Finance]] | | 3/11/2025 | [**Promising AI Applications in Improving Patient Outcomes and Streamlining Healthcare Operations**](https://www.healthcareittoday.com/2025/03/11/promising-ai-applications-in-improving-patient-outcomes-and-streamlining-healthcare-operations/) | [[Healthcare IT Today]] | | 3/6/2025 | [**ModMed Unveils Dermatology-Specific AI with ModMed Scribe - Yahoo Finance**](https://finance.yahoo.com/news/modmed-unveils-dermatology-specific-ai-130300360.html) | [[Yahoo Finance]] | | 2/24/2025 | [**Transforming Clinical Data for Point-of-Care Intelligence**](https://www.healthitanswers.net/transforming-clinical-data-for-point-of-care-intelligence/) | [[Health IT Answers]] | | 2/9/2025 | [**How AI Is Impacting India's Healthcare Industry - Forbes**](https://www.forbes.com/sites/krnkashyap/2025/02/09/how-ai-is-impacting-indias-healthcare-industry/) | [[Forbes]] | | 2/6/2025 | [**Knowledge Graph Market Expected To Reach USD 9.23 Billion by 2032, Growing at CAGR 12.45**](https://finance.yahoo.com/news/knowledge-graph-market-expected-reach-111400159.html) | [[Yahoo Finance]] | | 1/10/2025 | [**Knowledge Graph Market worth $6938.4 million by 2030 - PR Newswire**](https://www.prnewswire.com/news-releases/knowledge-graph-market-worth-6-938-4-million-by-2030--exclusive-report-by-marketsandmarkets-302347819.html) | [[PR Newswire]] | | 1/1/2025 | [**AI In Payments: Opportunities, Challenges And Best Practices**](https://www.forbes.com/councils/forbestechcouncil/2025/01/02/ai-in-payments-opportunities-challenges-and-best-practices/) | [[Forbes]] | | 12/21/2024 | [**Weekly Roundup - December 21, 2024 - Healthcare IT Today**](https://www.healthcareittoday.com/2024/12/21/weekly-roundup-december-21-2024/) | [[Healthcare IT Today]] | | 12/12/2024 | [**Data engineering - Eve: Making a case for transformed unstructured data with LLM-power**](https://www.computerweekly.com/blog/CW-Developer-Network/Data-engineering-Eve-Making-a-case-for-transformed-unstructured-data-with-LLM-power) | [[Computer Weekly]] | | 11/19/2024 | [**Datadobi Receives 2024 Excellence Award from Cloud Computing Magazine - PRWeb**](https://www.prweb.com/releases/datadobi-receives-2024-excellence-award-from-cloud-computing-magazine-302309952.html) | [[PRWeb]] | | 9/12/2024 | [**From charred scrolls to customer sentiment: How AI helps you monetize your unstructured data - CIO**](https://www.cio.com/article/3512719/from-charred-scrolls-to-customer-sentiment-how-ai-helps-you-monetize-your-unstructured-data.html) | [[CIO]] | | 9/4/2024 | [**Unstructured Data: Q&A with Elliott Green - Pharmaceutical Executive**](https://www.pharmexec.com/view/unstructured-data-elliott-green) | [[PharmExec]] | | 7/16/2024 | [**Unlocking Unstructured Data's Potential**](https://www.healthitanswers.net/unlocking-unstructured-datas-potential/) | [[Health IT Answers]] | | 7/2/2024 | [**“Our platform is a sophisticated integration of Robotic Process Automation ... - APAC News Network**](https://apacnewsnetwork.com/2024/07/our-platform-is-a-sophisticated-integration-of-robotic-process-automation-business-process-management-natural-language-processing-large-language-models-retrieval-augmented-generation-and/) | apacnewsnetwork.com | | 7/1/2024 | [**The Role of Generative AI in Shaping the Future of Healthcare - Ciklum**](https://www.ciklum.com/resources/blog/generative-ai-healthcare) | ciklum.com | | 6/28/2024 | [**HealthtechAnalytics Features from TechTarget**](https://www.techtarget.com/healthtechanalytics/features) | techtarget.com | | 6/27/2024 | [**Healthcare Analytics Information, News and Tips - TechTarget**](https://www.techtarget.com/healthtechanalytics/) | techtarget.com | | 6/25/2024 | [**Improving equity and population health through social determinants of health**](https://www.kevinmd.com/2024/06/improving-equity-and-population-health-through-social-determinants-of-health.html) | [[KevinMD]] | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **Unstructured**: A data management solutions provider focusing on automating data preprocessing for AI applications. - **ScienceIO**: A company focused on transforming unstructured healthcare data into structured formats to improve data utilization. - **EWR Digital**: A digital marketing agency that offers structured data schema markup services to enhance search engine visibility. - **DevRev**: An AI-native platform that integrates structured and unstructured data to improve enterprise workflows. - **Automated Data Inc. (ADI)**: A company partnering with SageX to automate the unstructured data lifecycle. - **Datavant**: A data retrieval network enhancing patient care through the Clinical Insights Platform, integrating structured and unstructured data. - **Tako**: An AI search engine focused on knowledge visualization and sharing, enhancing access to structured data. - **DeepScribe**: A company providing ambient intelligence solutions to enhance documentation and coding compliance in healthcare. - **Anomalo**: A data quality platform focusing on improving the quality of unstructured data to facilitate generative AI deployments. - **Medicomp Systems**: A provider of clinical data solutions that supports USCDI standards to enhance clinical data integration. - **Roots Automation**: A company that addresses the unstructured data challenge in the insurance industry, leveraging AI to convert unstructured data into structured decision data. - **Securiti**: A company providing solutions for secure generative AI development, focusing on structured data management. - **MongoDB**: A database platform that helps organizations structure and manage data effectively for AI readiness. - **Century Health**: A company partnering with Nira Medical to create structured datasets from unstructured EHR data for multiple sclerosis research. - **ASTP**: The Office of the Assistant Secretary for Technology Policy, which promotes the interoperable exchange of health-related data. - **Snowflake**: A cloud-based data platform that provides advanced capabilities for managing structured and unstructured data, including tools for AI integration. - **RelationalAI**: A startup that provides a Knowledge Graph Coprocessor on the Snowflake Data Cloud, enabling advanced AI capabilities on structured data. - **Emtelligent**: An AI solutions provider that transforms unstructured medical data into structured, searchable formats to improve clinical decision-making. - **Shelf**: A knowledge management platform focused on improving data quality for AI applications. ### Partnerships and Collaborations - **Automated Data Inc. and SageX**: Strategic partnership to automate unstructured data lifecycle, enhancing data connectivity. - **Unstructured and Carahsoft**: Partnered to provide data transformation capabilities to the Public Sector, addressing unstructured data management challenges. - **Dun & Bradstreet and Databricks**: Expanding access to business data and analytics through the Databricks Marketplace. - **HHS and Oregon Health & Science University**: Funding to enhance interoperability of structured behavioral health data. - **Medicomp Systems and Altera Digital Health**: Collaborating to transform dictated text into interactive clinical data. - **Abridge and Mayo Clinic/Epic**: Developing a nursing solution to streamline data collection and documentation tasks. - **ASTP and HL7**: Cooperative agreements to promote the development and adoption of health IT standards. - **Chainlink**: Collaborating with financial institutions to standardize corporate actions data using AI and blockchain. - **Century Health and Nira Medical**: Collaborating to curate data from multiple sclerosis patients to enhance understanding and treatment outcomes. - **University of Illinois Chicago and ARPA-H**: Leading an interdisciplinary project to integrate diverse health profession data for improved patient care. - **Blackbaud and Microsoft**: Integrating Microsoft products into Blackbaud's data and storytelling solution to enhance corporate social impact reporting. - **Transcend and Microsoft**: Collaborating in the Pegasus Program to enhance enterprise-ready technology and streamline privacy operations. - **Vyne Medical and Extract Systems**: The acquisition aims to simplify data flow in healthcare settings, improving patient and provider experiences. - **Columbia University and Oregon Health & Science University**: Awarded funding to enhance healthcare data quality and interoperability in behavioral health settings. - **KAID Health and Park Medical Centers**: A partnership aimed at enhancing care quality through AI and medical coding support. - **Luminoso and Qlik**: Partnership to integrate AI-driven text analytics into Qlik's business intelligence tools. - **HHS and Columbia University**: Funding awarded to improve nursing data accuracy through AI-based processing. - **Augmedix and Vizient**: A contract to provide AI documentation solutions to streamline medical note-taking for a significant portion of the healthcare market. - **App Orchid and Google Cloud**: An expanded collaboration to enhance data insights extraction using natural language queries powered by AI. - **Kyruus Health and Abundant Health Acquisition**: Integrating care access platforms to enhance patient access within health systems. ### Innovations, Trends, and Initiatives - **Structured Data Schema Markup Service by EWR Digital**: A service designed to improve website rankings and visibility through structured data integration. - **Structured Data in EHRs**: The integration of structured data into electronic health records is crucial for improving patient care and facilitating research. - **MongoDB InSight DXP**: A platform that transforms unstructured information into structured, actionable data for various industries. - **Document AI**: Snowflake's Document AI enables the extraction of structured data from unstructured documents, enhancing data management capabilities. - **Data Transformation**: Unstructured's platform automates the conversion of unstructured data into formats suitable for AI applications, improving data accessibility. - **Data Lifecycle Management**: Emphasis on managing data from creation to disposal to ensure accuracy and compliance. - **USCDI Version 4**: Introduces new data elements focusing on health equity and underserved communities, enhancing interoperability in healthcare. - **Intelligent Document Processing (IDP)**: Leveraging AI to automate the handling of unstructured content, improving data quality and onboarding processes. - **AI and Structured Data**: Organizations are increasingly adopting AI tools like NLP to extract and structure unstructured data in healthcare. - **Health Equity Initiatives**: ASTP's studies show that structured data collection improves the ability of healthcare providers to address health-related social needs. - **Ambient Listening Technology**: Revolutionizes documentation by recording patient-provider interactions, though it poses challenges for integrating semi-structured data. - **Clinical AI Marketplace**: Dandelion Health's platform allows for innovative research using both structured and unstructured data. - **Gencore AI by Securiti**: A solution designed to facilitate the secure development of generative AI systems using structured data. - **Generative AI**: Expected to help manage unstructured data in healthcare, improving efficiency and outcomes. - **Augmedix's AI Documentation Suite**: A suite that converts natural conversations into organized medical notes and structured data. - **Knowledge Graphs**: RelationalAI's Knowledge Graph Coprocessor allows for the application of AI directly to structured enterprise data. - **OmniParser by Microsoft**: An open-source model that converts screenshots into structured data for better AI interaction. - **USCDI Support by Medicomp**: Medicomp Systems supports USCDI versions 3 and 4 to enhance clinical data integration and improve health information exchange. - **Healthcare Quality Management Market Growth**: Driven by government mandates and the need to manage unstructured healthcare data. - **Knowledge Graph Market Growth**: The market for knowledge graphs is projected to grow significantly, driven by the increasing demand for structured data in various industries, including healthcare. ### Challenges and Concerns - **Data Quality and Compliance**: Organizations face challenges related to data quality and compliance when implementing structured data solutions. - **Integration of SDoH Data**: Healthcare providers struggle to incorporate social determinants of health data effectively due to its unstructured nature. - **Integration of Unstructured Data**: The challenge of integrating unstructured data into structured formats for effective analysis and decision-making. - **Unstructured Data**: Over 80% of healthcare data remains underutilized due to its unstructured nature, complicating data processing and interoperability. - **Quality of Structured Data**: The effectiveness of AI models relies heavily on the quality of structured data, which can be inconsistent across systems. - **Data Silos**: Fragmented data ecosystems hinder effective data utilization, leading to inefficiencies in patient interactions. - **Privacy Concerns**: Challenges in achieving unstructured data intelligence include privacy concerns regarding closed-source models. - **Data Exchange Disparities**: Significant disparities in health information technology adoption and data exchange capabilities among mental health and social service organizations. - **Data Security and Implementation Costs**: Challenges related to securing unstructured data and the costs of implementing new technologies. - **Data Scarcity**: The reliance on unstructured data for AI training poses challenges, prompting the need for innovative data sourcing and monetization strategies. - **Data Quality Issues**: The shift from structured to unstructured data poses challenges for AI effectiveness, necessitating robust data quality management. - **Unstructured Data Issues**: 92% of respondents believe unstructured data issues hinder the success of Generative AI initiatives, impacting data quality. - **Data Quality**: The effectiveness of AI and ML models heavily relies on the quality of structured data, necessitating robust data engineering practices. - **Data Security**: Concerns regarding the security of sensitive patient information and compliance with regulatory standards. - **Medical Errors**: The increasing prevalence of unstructured medical data contributes to rising medical errors, necessitating improved data management solutions. - **Skills Gap in Data Management**: Many organizations face a shortage of skilled professionals to manage complex data processes. - **Interoperability Issues**: Significant challenges remain in achieving interoperability due to lack of common data standards. - **Regulatory Compliance**: Ensuring compliance with regulations while utilizing AI and structured data in healthcare remains a significant concern.