# Data Quality * **Definition:** The accuracy, completeness, and reliability of healthcare data, which are essential for effective health data exchange and critical for the integrity of health algorithms and AI applications. * **Taxonomy:** CTO Topics / Data Quality ## News * Selected news on the topic of **Data Quality**, for healthcare technology leaders * 10.5K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 5/30/2025 | [**The Growing Importance Of AI In Provider Data Management**](https://www.forbes.com/councils/forbestechcouncil/2025/05/30/the-growing-importance-of-ai-in-provider-data-management/) | [[Forbes]] | | 5/11/2025 | [**Health care's data problem: the real obstacle to AI success**](https://kevinmd.com/2025/05/health-cares-data-problem-the-real-obstacle-to-ai-success.html) | [[KevinMD]] | | 4/23/2025 | [**Alpha Technology Group Ltd (ATGL): Among the Tech Stocks That Are Up the Most So Far in 2025**](https://finance.yahoo.com/news/alpha-technology-group-ltd-atgl-034935586.html) | [[Yahoo Finance]] | | 4/1/2025 | [**How DPDP Act will define data privacy in the digital-first world - CIO**](https://www.cio.com/article/3951400/how-dpdp-act-will-define-data-privacy-in-the-digital-first-world.html) | [[CIO]] | | 3/20/2025 | [**What CFOs Can Do If HHS Layoffs Prevail - HealthLeaders Media**](https://www.healthleadersmedia.com/cfo/what-cfos-can-do-if-hhs-layoffs-prevail) | [[HealthLeaders Media]] | | 3/13/2025 | [**Security Alert: How Federal Health Agencies Can Protect Health Data - HIT Consultant**](https://hitconsultant.net/2025/03/13/how-federal-health-agencies-can-protect-health-data/) | [[HIT Consultant]] | | 3/5/2025 | [**Reduce Clinical Trial Burden with Flatiron Clinical Pipe™: EHR-to-EDC Integration**](https://hitconsultant.net/2025/03/05/reduce-clinical-trial-burden-with-flatiron-clinical-pipe-ehr-to-edc-integration/) | [[HIT Consultant]] | | 3/3/2025 | [**Alation Announces Agentic Data Quality Solution to Close Data Trust Gap - Yahoo Finance**](https://finance.yahoo.com/news/alation-announces-agentic-data-quality-140000273.html) | [[Yahoo Finance]] | | 2/27/2025 | [**OpenText to Showcase New Innovations to Empower Healthcare Providers at HIMSS 2025**](https://finance.yahoo.com/news/opentext-showcase-innovations-empower-healthcare-123000407.html) | [[Yahoo Finance]] | | 1/31/2025 | [**Revolutionizing Healthcare IT: The Power of Hyperautomation**](https://www.healthcareittoday.com/2025/01/31/revolutionizing-healthcare-it-the-power-of-hyperautomation/) | [[Healthcare IT Today]] | | 1/27/2025 | [**DeepSeek says its Janus Pro AI model beats rivals in image generation - Reuters**](https://www.reuters.com/technology/deepseeks-janus-pro-ai-model-beats-rivals-image-generation-2025-01-27/) | [[Reuters]] | | 1/27/2025 | [**DeepSeek's Janus Pro AI model beats rivals in image generation - AOL.com**](https://www.aol.com/news/deepseeks-janus-pro-ai-model-175345079.html) | [[AOL]] | | 1/14/2025 | [**2025 Tech Trends: 4 Healthcare IT Focus Areas**](https://healthtechmagazine.net/article/2025/01/2025-tech-trends-4-healthcare-it-focus-areas) | [[HealthTech Magazine]] | | 12/13/2024 | [**Title: Navigating the Generative AI Journey: A Strategic Roadmap for Healthcare Organizations**](https://blogs.perficient.com/2024/12/13/title-navigating-the-generative-ai-journey-a-strategic-roadmap-for-healthcare-organizations/) | [[Perficient Healthcare]] | | 12/11/2024 | [**Telmai simplifies data quality for AI with native integrations to open table formats and ...**](https://www.prnewswire.com/news-releases/telmai-simplifies-data-quality-for-ai-with-native-integrations-to-open-table-formats-and-automated-pii-data-detection-302329052.html) | [[PR Newswire]] | | 11/20/2024 | [**Attending CHIME for the First Time: Insight and Inspiration from Fall Forum**](https://www.healthitanswers.net/attending-chime-for-the-first-time-insight-and-inspiration-from-fall-forum/) | [[Health IT Answers]] | | 11/20/2024 | [**ZoomInfo uses Telmai to automate data quality at scale, over billions of data records and ...**](https://www.prnewswire.com/news-releases/zoominfo-uses-telmai-to-automate-data-quality-at-scale-over-billions-of-data-records-and-across-multiple-cloud-sources-302310534.html) | [[PR Newswire]] | | 11/7/2024 | [**CHIME24: Setting the Record Straight on Generative AI**](https://healthtechmagazine.net/article/2024/11/chime24-setting-record-straight-generative-ai) | [[HealthTech Magazine]] | | 10/4/2024 | [**Data-Driven Transformation: The Role of Data Quality in Accelerating Healthcare Performance**](https://medcitynews.com/2024/10/data-driven-transformation-the-role-of-data-quality-in-accelerating-healthcare-performance/) | [[MedCity News]] | | 9/16/2024 | [**What Is Data Quality? - Built In**](https://builtin.com/articles/data-quality) | builtin.com | | 7/22/2024 | [**Data Science in Healthcare: Innovations and Challenges**](https://www.thequint.com/brandstudio/partner-data-science-healthcare) | thequint.com | | 7/18/2024 | [**Big Data Market Advancements Highlighted by Size, Share, Growth Forecast 2023-2032**](https://www.whatech.com/og/markets-research/it/858179-big-data-market-size-share-growth-forecast-2023-2032) | whatech.com | | 7/3/2024 | [**Unleashing the Full Potential of Big Data for a Connected Future**](https://www.cioreview.com/news/unleashing-the-full-potential-of-big-data-for-a-connected-future-nid-39858-cid-15.html) | [[CIO Review]] | | 10/10/2022 | [**An introduction to data quality management frameworks**](https://www.techrepublic.com/article/what-is-a-data-quality-management-framework/) | [[TechRepublic]] | | 10/9/2022 | [**Data quality management: Roles bilities**](https://www.techrepublic.com/article/data-quality-management-roles-and-responsibilities/) | [[TechRepublic]] | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **Soda**: An AI-enabled data quality startup focused on automating testing and observability to prevent data issues. - **Telmai**: A company enhancing enterprise data quality platforms with automated workflows for improved monitoring and compliance. - **Alation Inc.**: Developer of an AI-native data quality solution designed to enhance trust in data by monitoring critical data assets. - **Cornerstone AI**: A technology firm specializing in data quality algorithms aimed at enhancing the usability of laboratory data. - **Diaceutics**: A company that provides data solutions for precision medicine, collaborating with Cornerstone AI to improve laboratory data quality. - **Atropos Health**: A leader in federated healthcare data networks, providing Data Quality ScoreCards to enhance data quality across its network. - **Truveta**: A healthcare data platform that emphasizes data quality and security, providing extensive electronic health record data. - **GenieMD**: Awarded for its virtual chronic disease management solutions, emphasizing the importance of data quality in patient care. - **Clinical Architecture**: A company that partners with 4medica to improve data quality and interoperability in healthcare through a harmonized longitudinal care record solution. - **e4health**: Collaborates with healthcare systems to improve data quality, focusing on medical coding and Clinical Documentation Improvement (CDI). - **DeepMind**: Collaborated with the VA to utilize AI for predicting acute kidney injury, highlighting the role of data quality in AI applications. - **Tuva Health**: The world's first open-source healthcare data transformation platform, focusing on converting claims and EHR datasets into analytics-ready data. - **STRADVISION**: Developing a data pipeline automation system to enhance data quality for AI-based image recognition. - **CustomerInsights.AI**: Recognized for its innovative data management solutions in life sciences, emphasizing the importance of high-quality data for operational efficiency. - **Availity**: A revenue cycle management solution provider that enhances data quality and reduces errors in healthcare claims processing. - **Yidu Tech**: A healthcare technology company that processes vast amounts of medical records to drive innovation in healthcare analytics. - **Medidata**: A leading provider of clinical trial solutions, partnering with Cogstate to improve data collection and outcomes measurement. ### Partnerships and Collaborations - **Atropos Health and GENEVA OS**: Integration of Data Quality ScoreCards into existing healthcare data lakes to improve data quality metrics. - **ZoomInfo and Telmai**: Partnered to enhance data quality monitoring capabilities, automating data quality management. - **Clinical Architecture and 4medica**: Collaborating to provide a harmonized longitudinal whole-person care record solution that enhances data quality and interoperability. - **Clinical Architecture and AWS**: Partnership to manage health data effectively at scale, enhancing data quality in healthcare organizations. - **Yidu Tech**: Collaborates with various stakeholders in the healthcare sector to enhance data operability and trust. - **e4health Collaboration**: Works with over 400 healthcare systems to enhance data quality, particularly in medical coding and CDI. - **Truveta and RISCPoint**: Collaboration to develop advanced security measures for data quality and compliance. - **Enlitic and LAITEK**: Acquisition to improve data quality and enhance AI-powered tools in healthcare. - **Diaceutics and Cornerstone AI**: A strategic partnership aimed at improving the accuracy and usability of laboratory data within the DXRX laboratory network. - **nCartes and UC Davis Medical Center**: Collaborating to enhance clinical trial data quality through REDCap EDC integration. - **Sanford Health and Availity**: Collaborated to implement a revenue cycle management solution that streamlines claims processing and enhances data quality. - **Atropos Health**: Works with QuantHealth to utilize real-world data for optimizing clinical trials. - **Coalition for Health AI (CHAI)**: Working on frameworks to certify Assurance Labs and standardize Health AI model outputs, promoting transparency and trust in healthcare AI. - **Medidata and Cogstate**: Partnership aimed at enhancing clinical trials and outcomes measurement for CNS diseases. - **Atropos Health and Norstella**: Collaboration to expand dataset offerings on the Atropos Evidence Network, enhancing real-world evidence generation. - **Flatiron Health and University of Colorado Comprehensive Cancer Center**: Collaboration to implement Flatiron Clinical Pipe™, enhancing cancer research and patient care by automating data transfer. - **Centific and Premier, Inc.**: A national group purchasing agreement to provide AI chatbots and scribes to enhance healthcare operations. - **Atropos Health and Arcadia**: Collaboration to implement advanced care protocols and leverage AI insights for improved patient care. - **Signant Health and SPRIM PRO**: Strategic partnership to integrate eClinical technology solutions for improved clinical trial services. ### Innovations, Trends, and Initiatives - **Data Quality ScoreCard**: A tool developed by Atropos Health to help network members evaluate and benchmark their data quality. - **Data Quality ScoreCards**: Atropos Health's initiative providing feedback on data quality to enhance the integrity of healthcare data. - **Data Quality Initiatives**: 51% of organizations prioritize data quality, with 68% of insurance companies emphasizing it for operational efficiency. - **Alation Data Quality (DQ)**: An AI-native solution that identifies and monitors critical data assets while applying quality rules automatically. - **Data Quality Assurance in AI Initiatives**: CIOs emphasizing the importance of data quality for successful AI implementation in healthcare. - **Data Governance Initiatives**: Healthcare organizations are encouraged to invest in data governance frameworks to enhance data quality and support digital transformation. - **Data Wrangling Tools**: Gained importance during the COVID-19 pandemic for cleaning and organizing patient data for rapid decision-making. - **AI-Centric Data Strategy**: Emphasizes the need for high-quality, accessible data to enhance AI integration in healthcare. - **METRIC Framework**: A proposed framework for assessing data quality in medical machine learning, focusing on reducing biases and improving interpretability. - **Human-in-the-loop Automation**: Integrating human judgment into automated processes to improve data quality and reliability. - **Data Pipeline Automation**: STRADVISION's new system aims to streamline data processes and improve data quality for AI applications. - **Generative AI in Healthcare**: Advocating for the adoption of generative AI to enhance data quality and management strategies. - **Real-World Data Integration**: The use of real-world data in drug development and clinical decision-making is becoming crucial for improving patient outcomes. - **Telmai's Enhancements**: Introduction of automated workflows and native integration with open table formats to improve data quality monitoring. - **Open-source Platforms**: Tuva Health's platform aims to improve healthcare analytics through customizable data transformation processes. - **AI in Healthcare**: AI is recognized as a top technology hazard due to concerns over data governance and potential misuse, emphasizing the need for accurate data input. - **CHAI Model Cards**: A proposed framework to enhance transparency and trust in health AI by standardizing the output of testing labs for AI models. - **eCOA Solutions**: Utilized in clinical trials to enhance data quality and patient engagement through real-time data collection. ### Challenges and Concerns - **Data Quality Issues**: Poor data quality can lead to inefficient workflows and patient safety risks, emphasizing the need for robust data governance and quality assurance measures. - **Data Quality in AI**: The effectiveness of AI in healthcare is heavily reliant on high-quality data, with poor data quality leading to significant negative outcomes. - **Data Quality Impact on AI**: Poor data quality can lead to inaccurate AI model outputs, emphasizing the need for robust data management frameworks. - **Data Quality Risks**: Deployment of AI without integrity can lead to undetected errors and harm to brand reputation. - **Managing Unstructured Data**: Challenges in ensuring data quality due to the complexity and volume of unstructured data. - **Data Hygiene**: Poor data hygiene can cost organizations millions annually, emphasizing the need for rigorous data management practices. - **Data Accessibility**: Challenges in accessing high-quality data hinder the effective implementation of AI solutions in healthcare. - **Data Integrity and Bias**: Concerns regarding the integrity of data used in AI applications, particularly in clinical trials, necessitate clear standards and guidelines. - **Data Integration and Interoperability**: Healthcare organizations face significant challenges in integrating data from multiple sources, which can hinder patient outcomes and operational efficiency. - **Legacy Systems**: A significant portion of healthcare data resides in outdated systems, complicating data quality improvement efforts. - **Integration and Standardization**: Challenges in integrating and standardizing data across various systems hinder effective data management. - **Regulatory Compliance**: The necessity for healthcare organizations to comply with regulations like HIPAA and GDPR while managing data quality. - **Provider Data Management Issues**: Inaccurate provider directories can result in significant financial losses and impact healthcare costs for consumers. - **Trust Gap**: Unreliable data creates a trust gap between data producers and consumers, leading to operational risks and flawed AI models. - **Integration of AI Technologies**: The need for high-quality data to ensure effective AI solutions and maintain patient safety. ## Related Topics [[Data Quality Issues]]; [[Data Quality and Bias]]; [[Data Integrity]]; [[Data Governance]]; [[Data Integrity Issues]]; [[Data Management]]