# Improving Data Accuracy * **Definition:** The process of enhancing the precision and reliability of healthcare data by implementing systematic methods, technologies, and practices to reduce errors, ensure consistency, and validate information across various healthcare systems and records. * **Taxonomy:** CTO Topics / Improving Data Accuracy ## News * Selected news on the topic of **Improving Data Accuracy**, for healthcare technology leaders * 718 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]] | | 5/19/2025 | [**How Retrospective and Prospective Views Unite to Transform Risk Management**](https://www.healthcareittoday.com/2025/05/19/how-retrospective-and-prospective-views-unite-to-transform-risk-management/) | [[Healthcare IT Today]] | | 5/12/2025 | [**Healthcare's Hidden Workforce: Why Remote Teams Are Key to a More Resilient System**](https://healthcareguys.com/2025/05/12/healthcares-hidden-workforce-why-remote-teams-are-key-to-a-more-resilient-system/?utm_source=rss&utm_medium=rss&utm_campaign=healthcares-hidden-workforce-why-remote-teams-are-key-to-a-more-resilient-system) | [[The Healthcare Guys]] | | 5/8/2025 | [**Medisafe PATHWAYS, Eisai and Biogen Recognized for Alzheimer's Disease Innovation in 2025 MedTech Breakthrough Awards Program**](https://www.globenewswire.com/news-release/2025/05/08/3077392/0/en/Medisafe-PATHWAYS-Eisai-and-Biogen-Recognized-for-Alzheimer-s-Disease-Innovation-in-2025-MedTech-Breakthrough-Awards-Program.html) | [[Globe Newswire]] | | 5/8/2025 | [**When To Outsource - And How To Pick The Perfect Clinical Trial Partners**](https://www.clinicalleader.com/doc/when-to-outsource-and-how-to-pick-the-perfect-clinical-trial-partners-0001) | [[Clinical Leader]] | | 5/6/2025 | [**The Infrastructure Behind the Innovation**](https://www.healthitanswers.net/the-infrastructure-behind-the-innovation/) | [[Health IT Answers]] | | 4/16/2025 | [**Clario Collaborates with AWS to Push New Boundaries in Clinical Data Analysis with Generative AI**](https://www.prnewswire.com/news-releases/clario-collaborates-with-aws-to-push-new-boundaries-in-clinical-data-analysis-with-generative-ai-302429487.html) | [[PR Newswire]] | | 4/15/2025 | [**The Future of AI Analytics on Chronic Pain and Neurological DHTs in Clinical Research, Upcoming Webinar Hosted by Xtalks**](https://www.prweb.com/releases/the-future-of-ai-analytics-on-chronic-pain-and-neurological-dhts-in-clinical-research-upcoming-webinar-hosted-by-xtalks-302428574.html) | [[PRWeb]] | | 2/14/2025 | [**Health Tech Coverage - MedCity News**](https://medcitynews.com/category/channel/health-tech/?utm_source=mn-1&__hstc=192962994.4b44870ec4a577029c49e44b73bd3bee.1739491200165.1739491200166.1739491200167.1&__hssc=192962994.1.1739491200168&__hsfp=1152905967) | [[MedCity News]] | | 2/13/2025 | [**Health Tech Coverage - MedCity News**](https://medcitynews.com/category/channel/health-tech/?utm_source=mn-1&__hstc=192962994.4b44870ec4a577029c49e44b73bd3bee.1739232000165.1739232000166.1739232000167.1&__hssc=192962994.1.1739232000168&__hsfp=2761239502) | [[MedCity News]] | | 2/13/2025 | [**Health Tech Coverage - MedCity News**](https://medcitynews.com/category/channel/health-tech/?utm_source=mn-2&__hstc=261628626.4b44870ec4a577029c49e44b73bd3bee.1720051200184.1720051200185.1720051200186.1&__hssc=261628626.1.1720051200187&__hsfp=2521323127) | [[MedCity News]] | | 2/13/2025 | [**Health Tech Coverage - MedCity News**](https://medcitynews.com/category/channel/health-tech/?utm_source=mn-1&__hstc=192962994.4b44870ec4a577029c49e44b73bd3bee.1739318400165.1739318400166.1739318400167.1&__hssc=192962994.1.1739318400168&__hsfp=2761239502) | [[MedCity News]] | | 1/21/2025 | [**Market Acceptance: Key Challenges for Health Tech**](https://medcitynews.com/2025/01/market-acceptance-key-challenges-for-health-tech/) | [[MedCity News]] | | 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]] | | 1/8/2025 | [**The Data Dilemma: How It's Costing Health Systems Millions - HealthLeaders Media**](https://www.healthleadersmedia.com/data-dilemma-how-it%E2%80%99s-costing-health-systems-millions) | [[HealthLeaders Media]] | | 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]] | | 11/27/2024 | [**Robotic Process Automation in Healthcare Market Surges to USD 9.5 Billion by 2030 ...**](https://www.prnewswire.com/news-releases/robotic-process-automation-in-healthcare-market-surges-to-usd-9-5-billion-by-2030--propelled-by-25-9-cagr---verified-market-reports-302317393.html) | [[PR Newswire]] | | 10/15/2024 | [**The Future of Hospitals and Pharma Companies Will Depend on Strength of Healthcare Analytics Insights**](https://medcitynews.com/2024/10/the-future-of-hospitals-and-pharma-companies-will-depend-on-strength-of-healthcare-analytics-insights/) | [[MedCity News]] | | 10/3/2024 | [**How Real-Time Location Systems (RTLS) Can Revitalize Healthcare Teams**](https://hitconsultant.net/2024/10/03/how-rtls-technology-can-revitalize-healthcare-teams/) | [[HIT Consultant]] | | 7/31/2024 | [**Best Practices for Training During EHRImplementation**](https://www.healthcareittoday.com/2024/07/31/best-practices-for-training-during-ehr-implementation/) | [[Healthcare IT Today]] | | 7/30/2024 | [**eClinical Solutions Market worth $22.1 billion by 2029 driven by Rising Chronic Illness Rates**](https://www.prnewswire.com/news-releases/eclinical-solutions-market-worth-22-1-billion-by-2029-driven-by-rising-chronic-illness-rates--marketsandmarkets-302209717.html) | [[PR Newswire]] | | 6/21/2024 | [**Friday at Five: 5 RCM Strategies for Successful AI Implementation**](https://www.healthitanswers.net/friday-at-five-5-rcm-strategies-for-successful-ai-implementation/) | [[Health IT Answers]] | | 5/21/2024 | [**Navigating MSSP Quality Reporting**](https://www.healthitanswers.net/navigating-mssp-quality-reporting/) | [[Health IT Answers]] | | 11/15/2023 | [**Digital pharmacy startup Truepill confirms hackers accessed health data for 2.3M users**](https://www.fiercehealthcare.com/health-tech/digital-pharmacy-startup-truepill-confirms-hackers-accessed-health-data-23m-users) | [[FierceHealthcare]] | | 6/29/2021 | [**Excited to share Apple Health Records with a doctor? Thank data interoperability standards like SMART and FHIR**](https://www.fiercehealthcare.com/digital-health/excited-to-share-apple-health-records-a-doctor-thank-industry-data-standards-like) | [[FierceHealthcare]] | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **IgniteData**: A company that integrates imaging data into clinical trial workflows to improve data accuracy and trial efficiency. - **Kinsmen Group**: Developed Kinsmen AI, an advanced solution for cleaning and organizing data across systems to improve data accuracy and operational efficiency. - **Blumetra Solutions**: Specializes in data management solutions, focusing on improving data accuracy and compliance through cloud-based master data management. - **Veda**: A health technology company that has automated provider data processing, achieving over 90% accuracy in provider data. - **Med Claims Compliance**: A company implementing a Human-in-the-Loop Machine Learning approach to enhance data accuracy in medical coding and documentation. - **ONCO Inc.**: A company enhancing oncology data management through a partnership with Inspirata to improve data accuracy. - **CAQH and HiLabs**: Organizations collaborating to enhance healthcare data quality through an AI-powered data cleansing solution. - **Playback Health**: Provides Ambient AI technology to automate documentation processes in healthcare, enhancing data accuracy during emergencies. - **RAAPID INC**: Provider of risk adjustment solutions with a focus on improving data accuracy and compliance in healthcare. - **PurpleLab**: A data analytics company that provides insights into prescribing patterns and maintains accurate healthcare data through rigorous quality control. - **Yunu**: A leader in clinical trial imaging workflows that collaborates with IgniteData to enhance data accuracy. - **RevSpring**: Provider of healthcare technology solutions, including True QA™, a tool designed to improve patient registration data accuracy. - **Carle Health**: A health system that utilizes AI technology to improve medication reconciliation and data accuracy in their EHR system. - **Wolters Kluwer**: Provider of the TeamMate+ audit management platform, enhancing internal audit processes to improve data integrity. - **DrFirst**: Provider of medication management solutions that enhance clinical data accuracy and improve decision-making for healthcare professionals. - **Oracle Health**: Developer of Clinical AI Agent technology aimed at enhancing clinical workflows and improving data accuracy in healthcare settings. - **Q-Centrix**: A pioneer in Enterprise Clinical Data Management, focusing on enhancing patient outcomes and operational efficiency through advanced technology. - **Inspirata Inc.**: A company specializing in AI and natural language processing technologies to enhance oncology data management. - **ArisGlobal**: A company that has expanded its partnership with Sitero LLC to enhance data flow and connectivity in drug development, improving accuracy and efficiency. - **Clear**: A healthcare technology company focusing on identity confirmation and cybersecurity solutions to protect patient data. ### Partnerships and Collaborations - **ABX and Kanerika**: A partnership aimed at improving data management and analytics capabilities, resulting in significant improvements in data accuracy. - **Carle Health and DrFirst**: Collaboration to enhance medication history data accuracy through comprehensive medication tracking. - **CAQH and HiLabs**: Partnership to address healthcare data challenges through an integrated AI-powered data cleansing solution. - **Hexaware Technologies and Blumetra Solutions**: This partnership focuses on delivering cloud-based master data management solutions to enhance data accuracy and compliance in life sciences. - **DrFirst**: Collaborates with over 100 million patients annually to enhance medication management and data accuracy. - **IgniteData and Yunu**: This partnership aims to improve the integration of imaging data into clinical trial workflows, enhancing data accuracy and trial efficiency. - **Oracle Health**: Works with healthcare providers like AtlantiCare and Beacon Health System to implement AI solutions that improve data accuracy and reduce documentation time. - **Life Link III and Playback Health**: This collaboration seeks to automate and enhance patient data capture during air medical transport, improving documentation accuracy. - **ArisGlobal and Sitero LLC**: Their collaboration aims to improve end-to-end connectivity and data flow in drug development, enhancing accuracy and compliance. - **ONCO Inc. and Inspirata Inc.**: A partnership aimed at improving oncology data management and cancer care solutions through an integrated AI-driven platform. - **ThoroughCare and CareCo**: A strategic partnership to enhance care coordinator productivity through generative AI-powered tools. - **Clarium and General Catalyst**: Clarium raised $10.5 million to enhance healthcare technology solutions, focusing on supply chain efficiency. ### Innovations, Trends, and Initiatives - **EHR Transition Training**: Best practices for EHR training emphasize early initiatives and tailored plans to improve data handling and accuracy. - **True QA™**: RevSpring's tool that allows real-time error corrections in patient registration data, significantly reducing billing errors. - **Human-in-the-Loop Machine Learning**: This approach is being adopted to ensure greater accuracy in medical coding and documentation integrity. - **TeamMate+ Enhancements**: Wolters Kluwer's updates to its audit management platform to improve internal audit processes and data integrity. - **AI in DICOM Data Migration**: AI is revolutionizing the management and migration of medical imaging data, addressing inaccuracies and improving patient care. - **Large Language Models (LLMs)**: Used in hospital quality reporting to achieve high agreement with manual reporting, enhancing data reliability. - **Artificial Intelligence (AI)**: Transforming healthcare revenue cycle management by automating administrative tasks and enhancing data accuracy. - **Pathway.AI**: An innovative tool by KARL STORZ that utilizes AI to enhance operating room workflows and improve data accuracy. - **AI in Documentation**: AI-powered documentation tools are being adopted to reduce clinician burnout and administrative burdens, enhancing data accuracy in clinical settings. - **Ambient AI Technology**: This technology captures complex clinical interactions seamlessly, improving the accuracy of clinical data capture without disrupting patient care. - **AI in Healthcare**: The integration of AI technologies is being pursued to enhance data accuracy and operational efficiency, though challenges like AI hallucinations pose risks. - **FDA Guidance**: New guidance released to enhance data integrity and accuracy in clinical investigations through electronic systems and e-signatures. - **Clinical AI Agent**: Oracle's AI technology that automates documentation processes, improving data accuracy and reducing clinician burnout. - **Machine Learning (ML)**: Applied in EHR management to analyze large datasets for personalized patient care and improved outcomes. - **eClinical Solutions Market Growth**: The market is projected to grow significantly, driven by the need for improved data accuracy in clinical trials. - **Natural Language Processing (NLP)**: Utilized to extract and analyze clinical information from unstructured text, reducing manual data entry and improving EHR accuracy. - **AI in Nursing**: Advocacy for AI to alleviate documentation burdens and enhance patient care quality, as highlighted by nursing leaders. - **Optical Character Recognition (OCR)**: Automates the conversion of physical documents into digital formats, improving access to patient records and reducing manual entry errors. ### Challenges and Concerns - **Data Accuracy**: Concerns about data accuracy persist, with studies indicating that a significant percentage of healthcare organizations face challenges in maintaining accurate records. - **Data Accuracy Issues**: A staggering 80% of entries in major health plans found to be inaccurate, impacting patient access to correct healthcare providers. - **Claims Denials**: Healthcare providers face increased claims denials due to inaccurate data, highlighting the need for improved data accuracy in claims processing. - **Data Management Inefficiencies**: Traditional methods lead to increased risks of human error, negatively impacting patient care and operational efficiency. - **AI Hallucinations**: The risk of AI-generated inaccuracies in healthcare data is a significant concern, necessitating human oversight to ensure data reliability. - **Integration Challenges**: Healthcare organizations face difficulties in integrating AI and ensuring data accuracy, leading to hesitance in implementation. - **Patient Perceptions**: Patients express concerns about data accuracy and security, with many reporting errors in their records and worries about data breaches. - **Regulatory Compliance**: The integration of AI technologies in healthcare must adhere to regulatory standards to ensure data accuracy and patient safety. - **Data Integration Issues**: Fragmented data across healthcare systems leads to inefficiencies and challenges in maintaining accurate provider directories. - **Integration Complexity**: Healthcare organizations face challenges in integrating legacy systems with new technologies, impacting data accuracy. - **User Trust**: Concerns about usability and data accuracy in wearable devices may limit their adoption among senior populations. - **Data Privacy**: Concerns regarding data privacy and security are significant barriers to the adoption of AI and electronic systems in healthcare. - **Data Security Concerns**: Rising cybersecurity threats in healthcare, emphasizing the need for secure data management practices. - **High Implementation Costs**: The costs associated with implementing AI solutions can hinder widespread adoption despite their potential benefits.