# Data Quality Issues * **Definition:** Data Quality Issues refer to problems that affect the accuracy, completeness, consistency, and reliability of healthcare data, which can lead to incorrect clinical decisions, inefficient operations, and compromised patient safety. * **Taxonomy:** CTO Topics / Data Quality Issues ## News * Selected news on the topic of **Data Quality Issues**, for healthcare technology leaders * 3.7K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 5/6/2025 | [**Upskilling Healthcare IT Staff to Meet AI and Cybersecurity Needs**](https://healthtechmagazine.net/article/2025/05/upskilling-healthcare-it-staff-ai-cybersecurity-perfcon) | [[HealthTech Magazine]] | | 5/5/2025 | [**Harnessing AI and Cloud Technologies for Breakthroughs in Disease Research - Medium**](https://medium.com/@chaitrann.chakilam/harnessing-ai-and-cloud-technologies-for-breakthroughs-in-disease-research-d54de03a45cb) | [[Medium]] | | 4/30/2025 | [**Healthcare AI adoption up, but data and integration challenges persist**](https://www.healthcareitnews.com/news/healthcare-ai-adoption-data-and-integration-challenges-persist) | [[Healthcare IT News]] | | 4/30/2025 | [**The Risk And Reward Of Clinical Investigators Integrating AI**](https://www.clinicalleader.com/doc/the-risk-and-reward-of-clinical-investigators-integrating-ai-0001) | [[Clinical Leader]] | | 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]] | | 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]] | | 1/28/2025 | [**Centific awarded AI Chatbot agreement with Premier, Inc.**](https://www.prnewswire.com/news-releases/centific-awarded-ai-chatbot-agreement-with-premier-inc-302362640.html) | [[PR Newswire]] | | 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]] | | 1/8/2025 | [**The Data Dilemma: How It's Costing Health Systems Millions - HealthLeaders Media**](https://www.healthleadersmedia.com/data-dilemma-how-its-costing-health-systems-millions) | [[HealthLeaders Media]] | | 1/3/2025 | [**Healthcare Informatics Market Analysis 2024-2030: Trends Shaping the Industry's Growth to ...**](https://www.prnewswire.com/news-releases/healthcare-informatics-market-analysis-2024-2030-trends-shaping-the-industrys-growth-to-usd-386-820-million--valuates-reports-302341840.html) | [[PR Newswire]] | | 1/3/2025 | [**Healthcare Informatics Market Analysis 2024-2030: Trends Shaping the Industry's Growth to ...**](https://finance.yahoo.com/news/healthcare-informatics-market-analysis-2024-153000380.html) | [[Yahoo Finance]] | | 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]] | | 12/21/2024 | [**How Artificial Intelligence Enhances Clinical Decision-Making with Predictive Models**](https://www.linkedin.com/pulse/how-artificial-intelligence-enhances-clinical-decision-making-s5izf) | [[Linkedin]] | | 12/17/2024 | [**Public Trust in Biomedical Research in the Era of Artificial Intelligence: Opportunities and Challenges**](https://www.nih.gov/about-nih/what-we-do/science-health-public-trust/perspectives/public-trust-biomedical-research-era-artificial-intelligence-opportunities-challenges) | [[National Institutes of Health]] | | 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 | [**CRO Services Market Surges to USD 188.54 Billion by 2030, Propelled by 12.6AGR**](https://finance.yahoo.com/news/cro-services-market-surges-usd-150100027.html) | [[Yahoo Finance]] | | 12/6/2024 | [**AI Tagged as the Top Tech Hazard of 2025 - HealthLeaders Media**](https://www.healthleadersmedia.com/technology/ai-tagged-top-tech-hazard-2025) | [[HealthLeaders Media]] | | 11/30/2024 | [**Robust Growth Anticipated in the Healthcare Cloud Computing Software Market, with a ... - LinkedIn**](https://www.linkedin.com/pulse/robust-growth-anticipated-healthcare-cloud-computing-software-plywf) | [[Linkedin]] | | 11/27/2024 | [**Comprehensive Examination of the Healthcare Software As A Service Market - LinkedIn**](https://www.linkedin.com/pulse/comprehensive-examination-healthcare-software-service-bpitc) | [[Linkedin]] | | 11/25/2024 | [**Digi-Tech Pharma & AI Conference 2025: AI and Genomics Take Center Stage (London ...**](https://www.marketwatch.com/press-release/digi-tech-pharma-ai-conference-2025-ai-and-genomics-take-center-stage-london-united-kingdom-may-28-29-2025-researchandmarkets-com-2a20b074) | [[MarketWatch]] | | 11/7/2024 | [**Data Wrangling Market to Expand by USD 1.49 Billion from 2024-2028, Benefits of ... - PR Newswire**](https://www.prnewswire.com/news-releases/data-wrangling-market-to-expand-by-usd-1-49-billion-from-2024-2028--benefits-of-data-wrangling-solutions-drive-revenue-report-on-ai-redefined-market-landscape---technavio-302297205.html) | [[PR Newswire]] | | 8/19/2024 | [**A gold medal for Olympic mobile coverage**](https://www.computerweekly.com/ezine/Computer-Weekly/A-gold-medal-for-Olympic-mobile-coverage) | [[Computer Weekly]] | | 7/22/2024 | [**Data Science in Healthcare: Innovations and Challenges**](https://www.thequint.com/brandstudio/partner-data-science-healthcare) | thequint.com | | 7/10/2024 | [**Healthcare Quality Management Market Highlights and Forecasts to 2030 As Revealed ... - WhaTech**](https://www.whatech.com/og/markets-research/medical/854515-healthcare-quality-management-market-highlights-and-forecasts-to-2030) | whatech.com | | 7/9/2024 | [**'Data Is the Differentiator': How an Integrated Data Strategy Supports Healthcare AI Success**](https://healthtechmagazine.net/article/2024/07/data-differentiator-how-integrated-data-strategy-supports-healthcare-ai-success) | [[HealthTech Magazine]] | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **Sundar Shenbagam**: CTO at Edifecs, highlighting the connection between AI effectiveness and data quality. - **Kodiak Solutions**: A company providing insights on key risks for healthcare leaders, emphasizing the importance of data quality and compliance. - **Epic Systems**: Working to improve data-sharing capabilities to address interoperability issues. - **Clinical Architecture**: Partnered with 4medica to enhance data quality and interoperability in healthcare. - **Cisco**: A technology company that identifies data quality issues as a barrier to AI implementation in healthcare and is enhancing its AI capabilities through strategic partnerships. - **Philips**: Innovating healthcare data management with platforms that enhance interoperability and data integration. - **Ken Getz**: Executive Director at Tufts Center for the Study of Drug Development, discussing RBQM maturity. - **1upHealth**: A national leader in health data interoperability, focusing on FHIR-based solutions to improve patient health outcomes. - **Dell**: Leveraging cloud computing for scalable data storage solutions in healthcare. - **Blumetra Solutions**: Specializes in data management solutions, partnering with Hexaware to enhance data integration and governance. - **Hexaware Technologies**: A technology and business process services company focusing on cloud-based master data management solutions for the life sciences industry. - **Truveta**: A healthcare technology company that provides extensive electronic health record data from over 120 million patients, focusing on data quality and security. - **Civitas**: An organization advocating for local voices in national healthcare policy and focusing on data governance and AI applications. - **Siemens**: Investing in predictive analytics and AI diagnostics to enhance patient care and diagnostic accuracy. - **Verisma**: A leader in intelligent health data management solutions, recognized for its capabilities in release of information and audit management. - **Optum**: A health services company expanding capabilities through acquisitions in data analytics for population health management. - **DeepMind**: Collaborated with the VA on predictive analytics for acute kidney injury, showcasing AI's potential in healthcare. - **Rich Vibert**: Co-founder and CEO of Metomic, emphasizing the importance of data management and security in cloud environments. - **Atropos Health**: Operates the Atropos Evidence Network, the largest federated healthcare data network, focusing on real-world data for AI model training. - **EPC Group**: A consulting firm specializing in AI governance and compliance, helping healthcare organizations implement AI strategies. ### Partnerships and Collaborations - **Clinical Architecture and 4medica**: Provide a harmonized longitudinal care record solution to improve data quality and interoperability. - **Hexaware and Blumetra**: Deliver cloud-based MDM solutions for life sciences, emphasizing AI-driven data quality and governance. - **nCartes, Inc. and UC Davis Medical Center**: Launching REDCap EDC integration to improve clinical trial data quality. - **United BioSource LLC and Osmind Inc.**: Collaborating to integrate Risk Evaluation and Mitigation Strategies (REMS) into electronic health records to enhance data quality. - **Atropos Health and QuantHealth**: Utilize real-world data to enhance clinical trial simulations and improve patient outcomes. - **HHS and AI Developers**: The U.S. Department of Health and Human Services collaborates with AI developers to enhance healthcare quality and safety through responsible AI use. - **ECRI and Healthcare Organizations**: ECRI advises healthcare organizations to define AI goals and validate performance to ensure patient safety. - **Verisma and Olah Healthcare Technology**: Verisma's acquisition of Olah aims to enhance patient data management and improve regulatory compliance. - **Truveta and RISCPoint**: Collaborated to develop advanced security measures leading to HITRUST r2 Certification. - **Signant Health and SPRIM PRO**: Partnering to enhance clinical trial services through innovative eClinical technology solutions. - **Scope Technologies Corp.**: Signed a Letter of Intent with Global Care Innovations Inc. and BitLab to develop quantum-secure data solutions and AI-powered tools for healthcare. - **Centific and Premier, Inc.**: Secured a national group purchasing agreement to provide AI solutions to Premier members. ### Innovations, Trends, and Initiatives - **Data Quality ScoreCard**: Atropos Health provides feedback on data quality and suggestions for improvement through its network. - **Data-First Approach**: Organizations are adopting data-first strategies to address operational challenges and improve data quality. - **Data Integrity Management**: The shift from manual data management to digital technologies has improved data integrity, utilizing systems like electronic data capture. - **Generative AI**: Transforming data creation in healthcare, enhancing data quality, and fostering trust through innovative data governance methods. - **AI Integration**: AI is being integrated into healthcare to enhance patient outcomes and streamline processes, emphasizing the need for data quality and transparency. - **USCDI and TEFCA Initiatives**: The US Core Data for Interoperability (USCDI) and Trusted Exchange Framework and Common Agreement (TEFCA) aim to standardize health data exchange. - **Metomic's Data Classification Solution**: Automates the discovery and classification of sensitive data, improving data management efficiency. - **AI and Machine Learning**: Advancements in AI and ML are being utilized to enhance clinical decision-making and patient care, with a focus on data quality. - **Cloud Computing Adoption**: Healthcare organizations are increasingly adopting cloud solutions for enhanced data storage, analytics, and interoperability. - **Healthcare Cloud Computing**: The market is projected to grow significantly, driven by the need for data interoperability and regulatory compliance. - **Healthcare Informatics Growth**: The healthcare informatics market is expanding due to the increasing demand for efficient data management and digital transformation. - **BRIDGE Blueprint**: An evidence-based framework to help health systems adopt and scale AI effectively. - **Blockchain in Healthcare**: Emerging as a solution for data security and interoperability, with projected significant market growth. - **AI-Driven Solutions**: AI is being integrated into healthcare for predictive analytics, personalized treatment plans, and operational efficiency. - **AI in Healthcare**: AI applications are being integrated into healthcare for data analysis, improving lab efficiency, and supporting precision medicine. - **Telepathology Adoption**: The COVID-19 pandemic accelerated the adoption of telepathology, enhancing remote consultations and data management. - **AI and Machine Learning Integration**: Emerging trends include the integration of AI and machine learning in healthcare for improved diagnostic precision and operational efficiency. ### Challenges and Concerns - **Data Quality Issues**: Healthcare organizations face significant challenges with data quality, including missingness and incorrect hashing, which complicate data analysis efforts. - **Data-Value Gap**: Only a small percentage of organizations report having an agile data supply chain, limiting their ability to leverage data effectively. - **AI Integration Challenges**: Ensuring high-quality, standardized data is crucial for effective AI implementation in clinical settings. - **Interoperability Issues**: Healthcare organizations face challenges in data-sharing capabilities, impacting the effectiveness of integrated care. - **Healthcare Data Management**: Despite generating vast amounts of data, a significant portion remains unused due to its unstructured nature, highlighting the need for improved data-driven approaches. - **Data Privacy and Compliance**: Concerns regarding compliance with regulations like GDPR and HIPAA, as well as data integrity and bias in AI models. - **AI Governance**: Concerns over AI governance and potential misuse, with inaccurate data inputs leading to negative health outcomes. - **Ethical Concerns**: Issues related to data privacy, biases in AI training data, and the need for robust governance frameworks are critical. - **Interoperability Challenges**: Concerns regarding compliance time frames and the underutilization of unstructured data under the proposed HTI-2 interoperability rule. - **Data Privacy and Security**: High implementation costs, data privacy concerns, and cybersecurity threats pose significant barriers to healthcare technology adoption. - **Regulatory Compliance**: Stringent regulatory requirements complicate the deployment of new technologies in healthcare. - **Cybersecurity Risks**: Increased cybersecurity threats in healthcare, with significant data breaches affecting millions of patients. - **Skilled Workforce Shortage**: A shortage of skilled professionals in healthcare IT presents challenges for implementing advanced technologies. - **Regulatory Compliance Risks**: Healthcare organizations face compliance risks related to various regulations, which can lead to financial penalties and operational disruptions. - **Cybersecurity Threats**: Rising cybersecurity threats pose significant challenges for healthcare providers, necessitating robust security measures. ## Related Topics [[Data Quality]]; [[Data Quality and Bias]]; [[Data Integrity Issues]]; [[Data Management Issues]]; [[Data Integration Issues]]; [[Data Management Challenges]]; [[Data Integrity]]