# Data Fragmentation * **Definition:** Data Fragmentation in healthcare refers to the disjointed storage and management of patient information across multiple systems, databases, or platforms, leading to incomplete or inconsistent patient records, which can hinder effective care coordination and decision-making. * **Taxonomy:** CTO Topics / Data Fragmentation ## News * Selected news on the topic of **Data Fragmentation**, for healthcare technology leaders * 329 news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 5/24/2025 | [**Healthcare Provider Population Health Management Platforms Market Size 2025 - LinkedIn**](https://www.linkedin.com/pulse/healthcare-provider-population-health-management-lnpkf/) | [[Linkedin]] | | 5/13/2025 | [**North America Product Engineering Services Market Outlook 2024-2025 & 2030 - Yahoo Finance**](https://finance.yahoo.com/news/north-america-product-engineering-services-111900658.html) | [[Yahoo Finance]] | | 4/28/2025 | [**How integrated real-world data helps identify and improve outcomes for rare disease patients**](https://www.biopharmadive.com/spons/how-integrated-real-world-data-helps-identify-and-improve-outcomes-for-rare/745490/) | [[BioPharma Dive]] | | 4/14/2025 | [**The EHR as a strategic asset: Cloud, AI and the race for seamless care**](https://www.beckershospitalreview.com/ehrs/the-ehr-as-a-strategic-asset-cloud-ai-and-the-race-for-seamless-care/) | [[Beckers Hospital Review]] | | 4/14/2025 | [**The EHR as a strategic asset: Cloud, AI and the race for seamless care**](https://www.beckershospitalreview.com/healthcare-information-technology/ehrs/the-ehr-as-a-strategic-asset-cloud-ai-and-the-race-for-seamless-care/) | [[Beckers Hospital Review]] | | 2/26/2025 | [**Collaboration Across the Healthcare Ecosystem: A Key to Revenue Cycle Success**](https://www.healthcareittoday.com/2025/02/26/collaboration-across-the-healthcare-ecosystem-a-key-to-revenue-cycle-success/) | [[Healthcare IT Today]] | | 2/24/2025 | [**Overcoming Cultural Barriers to Accelerate AI in Healthcare - ICT&health International**](https://ictandhealth.com/ai-health-news/overcoming-cultural-barriers-to-accelerate-ai-in-healthcare) | [[ICT and Health]] | | 2/19/2025 | [**careviso and XiFin Announce Strategic Alliance to Modernize Prior Authorization and Revenue Cycle Management to Speed Reimbursement and Improve Patient Access**](https://www.prnewswire.com/news-releases/careviso-and-xifin-announce-strategic-alliance-to-modernize-prior-authorization-and-revenue-cycle-management-to-speed-reimbursement-and-improve-patient-access-302380329.html) | [[PR Newswire]] | | 2/18/2025 | [**What's Next for Wearable Technology in Healthcare? - by Staffingly, Inc - Medium**](https://medium.com/@staffinglyinc/whats-next-for-wearable-technology-in-healthcare-2487dc31f694) | [[Medium]] | | 2/18/2025 | [**Top 6 Growth Opportunities for the Digital Health Industry in 2025 - Yahoo Finance**](https://finance.yahoo.com/news/top-6-growth-opportunities-digital-113700160.html) | [[Yahoo Finance]] | | 2/10/2025 | [**Data fragmentation: The key healthcare challenge of our time?**](https://www.fiercehealthcare.com/sponsored/data-fragmentation-key-healthcare-challenge-our-time) | [[FierceHealthcare]] | | 2/6/2025 | [**Data fragmentation: The key healthcare challenge of our time?**](https://www.fiercehealthcare.com/digital-health/data-fragmentation-key-healthcare-challenge-our-time) | [[FierceHealthcare]] | | 12/13/2024 | [**AI Innovations in Healthcare Technology - by David Hirschfeld - Dec, 2024 - Medium**](https://medium.com/@dmhirschfeld/ai-innovations-in-healthcare-technology-6873f6cf1dfc) | [[Medium]] | | 11/26/2024 | [**Leading Brewer Lion Chooses Informatica to Implement Data Governance Underpinned by ...**](https://www.morningstar.com/news/business-wire/20241126673874/leading-brewer-lion-chooses-informatica-to-implement-data-governance-underpinned-by-ai-powered-intelligent-data-management-cloud-platform-to-drive-data-driven-business-intelligence) | [[Morningstar]] | | 11/18/2024 | [**Alphind healthcare Launches APAC HQ to Accelerate Healthy Ageing**](http://www.businesswire.com/news/home/20241118817101/en/Alphind-healthcare-Launches-APAC-HQ-to-Accelerate-Healthy-Ageing/?feedref=JjAwJuNHiystnCoBq_hl-RLXHJgazfQJNuOVHefdHP-D8R-QU5o2AvY8bhI9uvWSD8DYIYv4TIC1g1u0AKcacnnViVjtb72bOP4-4nHK5ieT3WxPE8m_kWI77F87CseT) | [[Business Wire]] | | 10/29/2024 | [**Markaaz CEO: Two-Sided Platform Plugs the 'Data Gap' on Small Businesses**](https://www.pymnts.com/smbs/2024/markaaz-ceo-two-sided-platform-plugs-data-gap-small-businesses/) | [[PYMTScom]] | | 10/25/2024 | [**Credibl ESG, Green Story unveil one-stop apparel solution in India - Yahoo**](https://www.yahoo.com/finance/news/credibl-esg-green-story-unveil-134037017.html) | [[Yahoo]] | | 10/7/2024 | [**SS&C Technologies Unveils Innovative Solutions at Deliver 2024**](https://www.prnewswire.com/news-releases/ssc-technologies-unveils-innovative-solutions-at-deliver-2024-302268645.html) | [[PR Newswire]] | | 9/5/2024 | [**Databricks Leverages AI to Advance Cancer Research, Infrastructure in Australia**](https://www.techrepublic.com/article/databricks-ai-use-cases-australia/) | [[TechRepublic]] | | 8/28/2024 | [**Why the Life Science Industry Should Care About the Proposed HTI-2 Rule**](https://www.healthitanswers.net/why-the-life-science-industry-should-care-about-the-proposed-hti-2-rule/) | [[Health IT Answers]] | | 8/20/2024 | [**Clarium Secures $10.5M for AI-Powered Hospital Supply Chain**](https://hitconsultant.net/2024/08/20/clarium-secures-10-5m-for-ai-powered-hospital-supply-chain/) | [[HIT Consultant]] | | 8/14/2024 | [**How does your organization address interoperability issues to ensure efficient clinical workflows across different systems and platforms?**](https://www.healthtechmagazines.com/how-does-your-organization-address-interoperability-issues-to-ensure-efficient-clinical-workflows-across-different-systems-and-platforms/) | [[Health Tech Magazines]] | | 8/9/2024 | [**Innovaccer Launches Government Health AI Data and Analytics Platform to Support Public Sector Agencies**](http://www.businesswire.com/news/home/20240809761304/en/Innovaccer-Launches-Government-Health-AI-Data-and-Analytics-Platform-to-Support-Public-Sector-Agencies/?feedref=JjAwJuNHiystnCoBq_hl-RLXHJgazfQJNuOVHefdHP-D8R-QU5o2AvY8bhI9uvWSD8DYIYv4TIC1g1u0AKcacnnViVjtb72bOP4-4nHK5ieT3WxPE8m_kWI77F87CseT) | [[Business Wire]] | | 8/9/2024 | [**Innovaccer Launches Government Health AI Data and Analytics Platform to Support Public Sector Agencies**](http://www.businesswire.com/news/home/20240809761304/en/Innovaccer-Launches-Government-Health-AI-Data-and-Analytics-Platform-to-Support-Public-Sector-Agencies/?feedref=JjAwJuNHiystnCoBq_hl-Q-tiwWZwkcswR1UZtV7eGe24xL9TZOyQUMS3J72mJlQ7fxFuNFTHSunhvli30RlBNXya2izy9YOgHlBiZQk2LOzmn6JePCpHPCiYGaEx4DL1Rq8pNwkf3AarimpDzQGuQ==) | [[Business Wire]] | | 6/4/2024 | [**Unlocking the Power of Patient Data: A Catalyst for Precision Medicine**](https://www.insideprecisionmedicine.com/topics/precision-medicine/unlocking-the-power-of-patient-data-a-catalyst-for-precision-medicine/) | [[Inside Precision Medicine]] | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **Microsoft Fabric**: A unified data and analytics platform adopted by 70% of Fortune 500 companies to address data fragmentation and integration complexity. - **Databricks**: A cloud data and AI platform adopted by healthcare organizations to address data fragmentation and enhance data insights. - **Info-Tech Research Group**: Provides resources for IT leaders in higher education, focusing on ERP modernization and addressing data fragmentation. - **Peter MacCallum Cancer Centre**: A leading cancer research and treatment center in Australia, facing data fragmentation challenges that hinder its ability to utilize big data and AI effectively. - **Mindsprint**: A company enhancing patient engagement through AI-enabled platforms, focusing on improving medication adherence and addressing data fragmentation. - **Signature Healthcare**: Utilizes MEDITECH's Traverse Exchange to enhance interoperability and improve care coordination. - **Alphind**: A healthcare intelligence activation company focused on enhancing care through innovative data solutions, particularly for older adults. - **Intenseye**: A provider of AI-powered safety solutions aimed at improving environmental health and safety (EHS) teams' efficiency by addressing data fragmentation. - **Datavant**: Enhances data retrieval networks with AI to improve operations and patient care by enabling better access to clinical data. - **Rhapsody**: A leader in digital health enablement, providing a platform for data integration and transformation to maintain accurate medical data. - **Informatica**: A data management company providing solutions to unify data strategies and enhance decision-making in healthcare. - **UnifyApps**: A company that enhances enterprise efficiency through its Unified Enterprise AI Agent platform, addressing challenges posed by disparate data and software applications. - **Pantomath**: Provides a platform that streamlines data operations and ensures real-time access to accurate insights across healthcare networks. - **Innovaccer**: A healthcare technology company that provides a data and analytics platform to manage population health programs and address data silos. - **Aidoc**: A key player in AI diagnostics, focusing on enhancing early detection and clinical decision-making. - **Enlitic**: A company focused on medical imaging solutions and data standardization, recently acquiring LAITEK to enhance its capabilities. - **Siemens Healthineers**: Involved in AI diagnostics, contributing to advancements in imaging and data analysis. - **GE HealthCare**: A major player in the AI diagnostics sector, focusing on chronic disease management. ### Partnerships and Collaborations - **Peter MacCallum Cancer Centre and John Holland Group**: Collaborated with Databricks to tackle data fragmentation issues limiting their insights from business data. - **Mindsprint and MedAdvisor Solutions**: A strategic partnership aimed at developing a next-generation patient engagement platform to improve medication adherence and tackle data fragmentation. - **Datavant and Apixio**: Datavant's acquisition of Apixio led to the creation of the Clinical Insights Platform, facilitating better data sharing between healthcare providers. - **UnifyApps and ICONIQ Growth**: UnifyApps closed a $20 million Series A funding round to enhance its AI platform, addressing data fragmentation in enterprises. - **Signature Healthcare and MEDITECH**: Signature Healthcare adopted MEDITECH's Traverse Exchange to improve interoperability and care coordination. - **Enlitic and LAITEK**: Acquisition aimed at integrating AI-powered data standardization with medical imaging data migration expertise. - **Alphind and Ageing Asia**: A partnership focused on addressing the specific needs of older adults through innovative healthcare solutions. - **Innovaccer and GHAAP**: Innovaccer's GHAAP aims to unify data for government healthcare organizations, enhancing operational efficiencies and improving healthcare quality. - **Healthcare Providers and Technology Companies**: Collaborations are emerging to integrate AI-powered platforms for diagnosing and managing diseases like Alzheimer's and Parkinson's. - **Info-Tech LIVE 2025**: An event inviting media and exhibitors to showcase IT research and trends, fostering networking among industry professionals. ### Innovations, Trends, and Initiatives - **Data Modernization**: Efforts like Pantomath's AI-driven observability platform aim to address data fragmentation and improve operational efficiency in healthcare. - **Interoperability Initiatives**: Healthcare organizations are increasingly focusing on interoperability solutions to combat data fragmentation and enhance data sharing. - **Microsoft Fabric Updates**: Recent enhancements include integration with CosmosDB and PowerBI, aimed at eliminating data fragmentation. - **AI in Healthcare**: AI is being leveraged to enhance data utilization in healthcare, but data fragmentation complicates its implementation, particularly for generative AI. - **Cloud-AI Integrated Analytics Framework (CAIAF)**: A framework that provides real-time data-driven insights to improve diagnostics and treatment planning, addressing data fragmentation. - **Health IT Modernization**: Efforts to modernize data practices in public health through platforms like GHAAP, promoting interoperability and data-driven decision-making. - **AI in Clinical Trials**: Generative AI is being explored to enhance clinical trial processes, including trial design and data analysis, despite challenges like data fragmentation. - **Unified Clinical Trial Data Management**: Development of platforms leveraging AI to streamline data management and enhance clinical data review experiences. - **Wearable Technology**: Advancements in wearable technology are enhancing patient outcomes and streamlining workflows, but data integration remains a challenge. - **Digital Health Tools**: Innovative tools such as mobile apps and telemedicine services are being integrated to monitor brain health conditions. - **AI in Diagnostics**: The market is projected to grow significantly, driven by advancements in AI technologies for early disease detection. ### Challenges and Concerns - **Data Fragmentation**: A significant issue in healthcare, leading to inefficiencies and challenges in data management and integration. - **Regulatory Compliance**: Organizations face barriers in collaboration and compliance due to fragmented data, impacting research processes and patient safety. - **Interoperability Issues**: The inability to share and exchange healthcare data effectively leads to delayed care, redundant testing, and medical errors. - **Integration Complexities**: Challenges persist in integrating new technologies within existing healthcare systems, impacting the adoption of innovations. - **Data Privacy Concerns**: Compliance with regulations like HIPAA and GDPR is critical, especially for technologies handling sensitive health data. - **Vendor Lock-in**: Concerns about monopolization by tech giants and the risks associated with centralized data repositories. - **Complex Claims Management**: Despite widespread EHR adoption, challenges persist in managing complex claims, particularly with specialized claims involving multiple payers. - **Cybersecurity Threats**: Increasing cybersecurity threats necessitate robust security measures to protect sensitive healthcare data from breaches. - **Cultural Resistance**: Cultural hurdles, rather than regulatory constraints, are identified as primary obstacles to the effective adoption of AI in healthcare.