# Standardization Issues * **Definition:** Challenges and obstacles related to the establishment and implementation of uniform protocols, guidelines, and practices in healthcare and healthcare technology, which can affect interoperability, data exchange, quality of care, and regulatory compliance. * **Taxonomy:** CTO Topics / Standardization Issues ## News * Selected news on the topic of **Standardization Issues**, for healthcare technology leaders * 477 news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 5/15/2025 | [**AI Won't Save Healthcare, But It Can Help Stop Wasting Millions - MedCity News**](https://medcitynews.com/2025/05/ai-wont-save-healthcare-but-it-can-help-stop-wasting-millions/) | [[MedCity News]] | | 5/12/2025 | [**Unlocking the future of research: The power of harmonized global real-world data**](https://www.healthcaredive.com/spons/unlocking-the-future-of-research-the-power-of-harmonized-global-real-world/747081/) | [[Healthcare Dive]] | | 5/2/2025 | [**Life Science Analytics Market worth $68.81 billion by 2030 11.4AGR - MarketsandMarkets™**](https://www.prnewswire.com/news-releases/life-science-analytics-market-worth-68-81-billion-by-2030-11-4-cagr--marketsandmarkets-302444901.html) | [[PR Newswire]] | | 4/14/2025 | [**A New Hampshire Health System's IT Standardization Advances - Healthcare Innovation**](https://www.hcinnovationgroup.com/clinical-it/blog/55283085/a-new-hampshire-health-systems-it-standardization-advances) | [[Healthcare Innovation]] | | 4/9/2025 | [**Marc Berger Joins Wilson Sonsini's General Counsel in Residence Program - Yahoo Finance**](https://finance.yahoo.com/news/marc-berger-joins-wilson-sonsini-171300001.html) | [[Yahoo Finance]] | | 3/17/2025 | [**Smart City Platforms Market is expected to generate a revenue of USD 416.1 Billion by 2032 ...**](https://www.prnewswire.com/news-releases/smart-city-platforms-market-is-expected-to-generate-a-revenue-of-usd-416-1-billion-by-2032--globally-at-9-cagr-verified-market-research-302403093.html) | [[PR Newswire]] | | 2/25/2025 | [**AI in Life Science Research Report 2025 - Yahoo Finance**](https://finance.yahoo.com/news/ai-life-science-research-report-090300096.html) | [[Yahoo Finance]] | | 2/19/2025 | [**The Future of Livestock Identification Industry: Innovations, Challenges, and Growth Prospects**](http://prsync.com/marektsandmarkets/the-future-of-livestock-identification-industry-innovations-challenges-and-growth-prospects-4625989/) | [[PRSync]] | | 2/18/2025 | [**AI-enabled DICOM data migration: Laying the foundation - Healthcare Dive**](https://www.healthcaredive.com/spons/ai-enabled-dicom-data-migration-laying-the-foundation/739634/) | [[Healthcare Dive]] | | 2/13/2025 | [**Avant Technologies JV Partner to Speak at AI Revolution in Healthcare Summit in Dubai**](https://markets.businessinsider.com/news/stocks/avant-technologies-jv-partner-to-speak-at-ai-revolution-in-healthcare-summit-in-dubai-1034356290) | [[Business Insider Markets]] | | 2/13/2025 | [**Avant Technologies JV Partner to Speak at AI Revolution in Healthcare Summit in Dubai**](https://www.newswire.com/news/avant-technologies-jv-partner-to-speak-at-ai-revolution-in-healthcare-summit-in) | [[Newswire]] | | 2/11/2025 | [**Hemoglobin A1c Testing Devices Market Accelerates: Unlocking a US$3.3 Billion ... - Yahoo Finance**](https://finance.yahoo.com/news/hemoglobin-a1c-testing-devices-market-144000062.html) | [[Yahoo Finance]] | | 12/27/2024 | [**Middle East Healthcare Transformation Fuels New Opportunities for Technology Developers ...**](https://finance.yahoo.com/news/middle-east-healthcare-transformation-fuels-130000345.html) | [[Yahoo Finance]] | | 12/26/2024 | [**Bipartisan House Task Force releases report on AI innovation - MobiHealthNews**](https://www.mobihealthnews.com/news/bipartisan-house-task-force-releases-report-ai-innovation-0) | [[MobiHealthNews]] | | 12/23/2024 | [**Inside the CMS plan to streamline quality measurement**](https://www.modernhealthcare.com/policy/cms-universal-foundation-quality-data-reporting-measurement) | [[Modern Healthcare]] | | 11/26/2024 | [**Regtech Market to Grow by USD 25.2 Billion (2024-2028), Demand for Financial Crime ...**](https://finance.yahoo.com/news/regtech-market-grow-usd-25-220500077.html) | [[Yahoo Finance]] | | 11/25/2024 | [**The Case for a “Single Source of Truth” in Provider Credentialing**](https://medcitynews.com/2024/11/the-case-for-a-single-source-of-truth-in-provider-credentialing/) | [[MedCity News]] | | 9/20/2024 | [**Blockchain in Healthcare Market Expected to be Valued US$17.6 Billion by 2031 - WhaTech**](https://www.whatech.com/og/markets-research/medical/884623-blockchain-in-healthcare-market-expected-to-be-valued-us-17-6-billion-by-2031.html) | whatech.com | | 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]] | | 8/7/2024 | [**Novel AI Model May Enhance Health Data Interoperability - Feinberg News Center**](https://news.feinberg.northwestern.edu/2024/08/07/novel-ai-model-may-enhance-health-data-interoperability/) | news.feinberg.northwestern.edu | | 7/26/2024 | [**Automation Revolutionizing Clinical Decision Support (CDS) at Geisinger**](https://www.healthtechmagazines.com/automation-revolutionizing-clinical-decision-support-cds-at-geisinger/) | [[Health Tech Magazines]] | | 7/18/2024 | [**Smart Healthcare Market size is set to grow by USD 115.39 billion from 2023-2027 ... - PR Newswire**](https://www.prnewswire.com/news-releases/smart-healthcare-market-size-is-set-to-grow-by-usd-115-39-billion-from-2023-2027--growing-demand-for-remote-health-monitoring-to-boost-the-market-growth-technavio-302199100.html) | [[PR Newswire]] | | 7/10/2024 | [**HHS Proposes HTI-2 Rule to Enhance Healthcare Data Sharing and Interoperability**](https://hitconsultant.net/2024/07/10/hhs-proposes-hti-2-rule-to-enhance-healthcare-data-sharing-and-interoperability/) | [[HIT Consultant]] | | 7/3/2024 | [**EHRs in 10 years: What will be possible? - Becker's Hospital Review**](https://www.beckershospitalreview.com/ehrs/ehrs-in-10-years-what-will-be-possible.html) | [[Beckers Hospital Review]] | | 7/1/2024 | [**The transformative impact of digitalization in biopharma**](https://finance.yahoo.com/news/transformative-impact-digitalization-biopharma-163420843.html) | [[Yahoo Finance]] | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **Sara Rogers, PharmD**: Discussing the STRIPE initiative aimed at standardizing pharmacogenomic practices. - **Oracle**: A technology company involved in healthcare data management and EHR solutions, contributing to standardization efforts. - **Geneial**: Awarded a pilot project to develop AI tools for transforming biomedical data into standardized formats. - **Enlitic**: A company that acquired LAITEK to enhance its capabilities in medical imaging data standardization. - **Geisinger**: An organization leading initiatives to integrate automation into patient care and clinical workflows, focusing on standardizing processes. - **DICOM**: Digital Imaging and Communications in Medicine, an international standard for managing medical imaging information. - **Segmed**: A startup specializing in deidentifying and standardizing medical imaging data to support AI development and clinical research. - **Leica Biosystems**: A leader in digital pathology, promoting DICOM standards to enhance interoperability. - **U.S. Department of Health and Human Services**: The federal agency responsible for proposing the HTI-2 rule to enhance healthcare information exchange and interoperability. - **EDETEK Inc.**: Launched CONFORM√ONCO+, an AI-driven accelerator for oncology clinical trials, focusing on data quality and standardization. - **InterSystems**: Provider of the TrakCare electronic medical record system, which supports healthcare modernization efforts. - **Coalition for Health AI (CHAI)**: An organization focused on standardizing AI model cards to ensure responsible AI use in healthcare. - **Cerner**: Another major EHR vendor known for its efforts in promoting interoperability through API-driven solutions. - **TetraScience**: Collaborated with NVIDIA to standardize and scale scientific AI development in the life sciences sector. - **HITRUST**: An organization that provides frameworks for risk management and compliance in healthcare, including AI risk management assessments. - **eHealth Technologies**: A company addressing health information management challenges in hospitals, emphasizing the need for modern data exchange methods. - **Epic Systems**: A leading provider of electronic health record (EHR) systems that facilitates data sharing and interoperability. - **Health Data Innovations (HDI)**: Partnered with Radial to enhance healthcare data integration and decision support. - **Cornerstone AI**: A company that partnered with Komodo Health to enhance data cleaning and preparation processes for healthcare data. - **Meditech**: A healthcare technology company that provides EHR solutions aimed at improving healthcare delivery and interoperability. ### Partnerships and Collaborations - **US Pharmacopeia and STRIPE initiative**: Collaboration to develop standards in pharmacogenomics. - **BD and Hamilton Robotics**: Collaboration to standardize genomic sequencing processes, enhancing automation and efficiency. - **CHAI and Avanade**: Collaboration to develop a model card registry for standardizing AI models in healthcare. - **ABI Research**: Emphasizes the importance of partnerships between vendors and enterprises to overcome integration challenges in data management. - **TetraScience and NVIDIA**: Collaborated to create a scientific AI stack for standardizing and scaling data in the life sciences. - **Geisinger and RPA Technology**: Geisinger utilizes Robotic Process Automation to standardize chart audit procedures, enhancing quality and efficiency. - **Health Data Innovations and Radial**: Formed a partnership to enhance data integration and decision support for value-based care. - **UnitedHealthcare**: Initiated a gold-card program to streamline prior authorization processes for qualifying providers, aiming to reduce administrative burdens. - **DeepScribe AI and Ochsner Health**: Enterprise-wide agreement to implement ambient AI clinical documentation technology. - **Cornerstone AI and Komodo Health**: Integrated AI software to improve healthcare data cleaning and preparation. - **Avant Technologies and Ainnova Tech**: Collaboration to leverage AI for early disease detection and improve healthcare diagnostics. - **Huma and Hospitals**: Huma has implemented its technology in over 3,000 hospitals to improve healthcare delivery. - **Atropos Health and Arcadia**: Partnership to implement advanced care protocols and leverage AI insights for improved patient care. ### Innovations, Trends, and Initiatives - **Data Standardization Initiatives**: Efforts like the FHIR-GPT model aim to improve the conversion of EHR data into standardized formats, enhancing interoperability. - **Standardization of Infusion Pumps**: Baptist Health's initiative to standardize protocols across hospitals to enhance patient safety and reduce medication errors. - **Universal Foundation Framework**: CMS's initiative to streamline quality measurement in healthcare through standardized metrics. - **HTI-2 Rule**: Introduces standards-based APIs for data exchange, enhanced security measures, and mandates the adoption of USCDI version 4 by 2028. - **STRIPE Initiative**: Aims to standardize pharmacogenomic practices and enhance clinical decision-making. - **EHR Advancements**: Future EHRs are expected to include enhanced data visualization and predictive analytics, contingent upon mastering data standardization. - **AI in Healthcare**: AI is being integrated to improve diagnostics, personalize medicine, and enhance patient care, but faces challenges in standardization. - **DICOM Digital Pathology Connectathons**: Events organized to promote interoperability among vendors in digital pathology. - **AI in Dermatology**: Research highlights the need for inclusive skin tone scales and improved representation in AI training datasets to enhance diagnostic accuracy. - **SMART on FHIR**: An innovative platform that allows developers to create applications that integrate with various EHR systems, enhancing interoperability. - **Federated Data Models**: Emerging models that enable the collection of diverse data from various sources to improve clinical research insights. - **Data Fabrics**: Emerging as a transformative solution for seamless data integration and governance across various systems, crucial for healthcare data management. - **AI Risk Management Assessment**: HITRUST's new assessment tool to help organizations manage AI-related risks in healthcare. - **Traverse Exchange Network**: Facilitates secure health information exchange across different EHR systems to improve interoperability. - **AI in Neuro-Oncology**: New guidelines for AI use in diagnosing and treating brain cancer aim to standardize evaluation criteria and improve patient outcomes. - **CONFORM√ONCO+**: An AI-driven accelerator that integrates data from multiple sources to streamline oncology clinical trials. - **Smart Healthcare Solutions**: Increasing use of IoT and connected devices for real-time patient monitoring and improved healthcare access. ### Challenges and Concerns - **Standardization Issues**: Lack of standardization across regions complicates the adoption of healthcare technologies, hindering interoperability and integration. - **Lack of Standardization**: Challenges in standardizing testing methodologies and data formats hinder the adoption of new technologies in healthcare. - **Data Standardization**: Integration of real-world data into clinical trials faces challenges related to data standardization and integration. - **Interoperability Issues**: The overwhelming number of standards and legacy systems hinder effective communication and data exchange among healthcare entities. - **Data Fragmentation**: Challenges in data standardization and interoperability hinder effective data management and clinical workflows. - **Cybersecurity Risks**: The increasing reliance on digital systems raises concerns about data breaches and the need for standardized security measures. - **Regulatory Compliance**: Ensuring compliance with regulatory standards while maintaining high data quality is a critical concern for healthcare organizations. - **Quality Measurement Complexity**: The proliferation of quality measures creates confusion and reporting burdens, particularly in primary care settings. - **Documentation Burden**: The need for standardized definitions of documentation burden to reduce excessive administrative tasks for healthcare professionals. - **Regulatory Barriers**: Regulatory obstacles such as Stark law and prior authorization requirements limit the adoption of new technologies in healthcare. - **AI Adoption Barriers**: Challenges include data quality, regulatory hurdles, and the opacity of AI algorithms, which hinder trust among healthcare professionals. - **Data Security Risks**: Ongoing concerns regarding data security in healthcare systems, particularly with the rise of electronic health records and connected devices. - **Privacy and Security**: As social care systems digitize, prioritizing privacy measures for sensitive data is crucial due to the lack of protections compared to healthcare data. - **Privacy Concerns**: The increasing use of IoT in healthcare raises issues regarding data privacy and security. - **Outdated Methods in Hospitals**: Many hospitals still rely on fax and mail for patient record transfers, leading to inefficiencies. - **Fragmentation of Healthcare Systems**: Existing systems hinder the integration of digital tools, complicating the adoption of technologies like AI. - **Inaccurate Provider Data**: A significant percentage of provider data is inaccurate, impacting patient access to care and leading to substantial financial losses. - **Public Trust in AI**: Declining public trust necessitates greater transparency and ethical practices in AI applications within healthcare.