In February 2019 the Networking and Information Technology Research and Development (NITRD) Program's Health Information Technology Research and Development Interagency Working Group (HITRD IWG) issued a Request for Information (RFI) to collect input from industry, academia, and nongovernmental organizations on new approaches to solve the interoperability issues between medical devices, data, and platforms. On July 17, 2019, the group followed up with an in-person Listening Session that included 76 representatives from the device, standards, academic, and medical communities, and government. This report is a summary of the February 2019 Request for Information and July 2019 Listening Session.

Global Healthcare Data Interoperability market size is expected to reach $14.06 billion by 2029 at 17.6%, segmented as by centralized, single point of control, unified data repository, centralized management and storage

As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - project aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. The work package "WP2 FAIR Practices: Semantics, Interoperability, and Services" will produce three reports on FAIR requirements for persistence and interoperability to identify domain-specific standards and practices in use. These will review and document commonalities and possible gaps regarding semantic interoperability, and the use of metadata and persistent identifiers across infrastructures. They will also look into differences in terms of standards, vocabularies and ontologies. The collected information will be updated during the course of the project in cooperation with other tasks and EOSC projects.

This survey was done to complement and validate the information from desk research for the first of these reports. It was aimed at data managers and data support experts. We hoped to get information about tools and services we might have missed, but also some reflections on the thinking around identifiers and ontologies and other semantic artefacts. The information was also collected to support preparing workshops on semantics and interoperability that are forthcoming in the project, as well as the work on software and services. The survey covers questions about metadata, use of persistent identifiers, use of semantic artefacts and handling research software.

The survey was conducted as a joint effort with WP3, FAIR Policy and Practice and its open consultation, and was disseminated on the fairsfair.eu web pages, social media channels and via email lists. We received 66 answers during the period the survey was open, that is between 15 July to 2 October 2019.

As described in the associated manuscript, two tests were run to evaluate interoperability in life cycle assessment (LCA) elementary flow (EF) lists. The first looks at various LCA sources and analyzed how interoperable the original source EF lists are by comparing unique name-to-name matches across sources. The second analysis compares sources that are mapped to the Federal Elementary Flow List (FEDEFL) as a common source list and measures the improvement in interoperability in the increase of flows that are mapped between sources. These analysis were performed in this dataset. This dataset is associated with the following publication: Edelen, A.N., S. Cashman, B. Young, and W.W. Ingwersen. Life Cycle Data Interoperability Improvements through Implementation of the Federal LCA Commons Elementary Flow List. Applied Sciences. MDPI, Basel, SWITZERLAND, 12(19): 9687, (2022).

The radical interoperability market is experiencing robust growth, driven by the increasing need for seamless data exchange across healthcare systems. The market's expansion is fueled by several key factors: rising adoption of cloud-based solutions that facilitate interoperability, growing regulatory pressures mandating data sharing, and the increasing demand for patient-centric care models that rely heavily on integrated health information. The substantial investments made by major technology players like Allscripts, Cerner, and Epic, along with emerging players like Orion Health and NextGen, further accelerate market expansion. This competitive landscape fosters innovation and drives the development of sophisticated interoperability solutions, including advanced APIs, semantic interoperability tools, and robust data security protocols. We estimate the market size in 2025 to be around $5 billion, considering the rapid advancements and widespread adoption of interoperability solutions globally. A compound annual growth rate (CAGR) of 15% is projected from 2025 to 2033, indicating significant growth potential. However, challenges remain. Data security and privacy concerns are paramount, requiring stringent compliance with regulations like HIPAA. The complexity of integrating legacy systems with newer technologies poses a significant hurdle for many healthcare providers. Furthermore, interoperability requires significant financial investments in infrastructure upgrades and skilled workforce training, potentially hindering adoption among smaller healthcare organizations. Despite these challenges, the long-term outlook for radical interoperability remains positive, driven by evolving healthcare delivery models, the push towards value-based care, and the increasing awareness of the importance of data sharing for improving patient outcomes. The market is expected to reach approximately $15 billion by 2033, demonstrating a substantial increase and solidifying the vital role of radical interoperability in the future of healthcare.

The goal of the OneNet System is to facilitate data exchanges among existing platforms, services, applications, and devices by the power of interoperability techniques. To ensure that system requirements are technically -implementable and widely adopted, internationally standardized file formats, metadata, vocabularies and identifiers - are required.

The OneNet “Cross-Platform Access” pattern is the fundamental characteristic of an interoperable ecosystem, leading to the definition of the exposed list OneNet Cross-Platform services (CPS). The pattern entails that an application accesses services or resources (information or functions) from multiple platforms through the same interface. For example, a “grid monitoring” application gathers information on different grid indicators provided by different platforms that conduct measurements or state estimations. The challenge of realizing this pattern lies in allowing applications or services within one platform to interact with other platforms (eventually from different providers) with relevant services or applications via the same interface and data formats. Thereby, reuse and composition of services as well as easy integration of data from different platforms are enabled.

Based on the defined concept for CPS, an extensive analysis has been performed regarding data exchange patterns and roles involved for system use cases (SUCs) from other H2020 projects and the OneNet demo clusters. This has resulted into a first list of CPS, that has been thereafter taxonomized into 10 categories. The different entries have been defined providing a set of classes such as service description, indicative data producer/consumer etc. Each CPS can be assigned with multiple business objects describing the context of it. For a specific set of widely used by the Demo CPS, there have been formal semantic definitions provided in the "CrossPlatformServices-Semantic" excel worksheet.

Health Data Interoperability Market size to be valued at USD 84.58 Bn in 2025 and is expected to expand at a CAGR of 22.65%, reaching USD 352.13 Bn by 2032.

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Healthcare Interoperability Solution Market Size 2024-2028

The healthcare interoperability solution market size is forecast to increase by USD 4 billion, at a CAGR of 14.27% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing adoption of Electronic Health Records (EHRs) and the digitization of the healthcare industry. This shift towards digital health solutions enables seamless data exchange between different healthcare providers, improving patient care and outcomes. However, this market faces challenges, primarily centered around concerns over the security of patient data and the rising threat of cyberattacks. As healthcare organizations continue to digitize their operations, ensuring data security and privacy becomes paramount. Navigating these challenges requires a robust and secure interoperability solution that prioritizes data protection while enabling seamless data exchange. Companies seeking to capitalize on this market's opportunities must focus on developing innovative solutions that address these challenges and cater to the evolving needs of the healthcare industry.

What will be the Size of the Healthcare Interoperability Solution Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
Request Free SampleThe market continues to evolve, driven by the increasing need for seamless data exchange and integration across various sectors. Entities involved in this dynamic market offer services such as data mapping, medical device integration, healthcare connectivity, population health management, API gateway management, data interoperability solutions, secure data transmission, system architecture design, and data standardization protocols. These offerings enable real-time data synchronization, ensuring regulatory compliance and maintaining patient data privacy. Healthcare data exchange is facilitated through HL7 messaging standards and FHIR API integration, while electronic health records (EHR) system integration and HL7 messaging standards streamline clinical data sharing. Moreover, interoperability consulting services and testing tools support the implementation of these solutions, ensuring secure data transmission and adherence to data standardization protocols. The market also caters to the integration of DICOM data exchange and remote patient monitoring, further expanding its reach. company neutral architecture and cloud-based interoperability solutions offer flexibility and scalability, while population health management and public health reporting enable data analytics platforms and data governance frameworks to gain valuable insights. Workflow automation tools and clinical data sharing enhance operational efficiency, ensuring that the healthcare industry stays connected and informed. Continuous innovation and regulatory compliance are key factors shaping the market's ongoing growth and evolution.

How is this Healthcare Interoperability Solution Industry segmented?

The healthcare interoperability solution industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. DeploymentOn-premisesCloud basedTypeStructuralSemanticFoundationalGeographyNorth AmericaUSEuropeGermanyUKAPACChinaIndiaRest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.In the dynamic healthcare landscape, on-premise healthcare information solutions continue to be favored by large organizations due to their enhanced security features. These solutions, which run on dedicated servers within an organization, offer improved control and physical access to ensure data privacy and security. In contrast, cloud-based healthcare solutions store data on multiple servers, increasing the potential risk of data breaches. Integral to the on-premise healthcare IT infrastructure are patient portal integrations, mobile health integrations, and EHR system integrations, which streamline data access and sharing among healthcare providers and patients. Interoperability consulting and testing tools enable seamless data exchange between disparate systems, adhering to HL7 messaging standards and FHIR API integration. Data security protocols are paramount, with secure data transmission and system architecture design ensuring compliance with regulatory frameworks and data standardization protocols. Population health management and healthcare connectivity are further enhanced through API gateway management and data analytics platforms, while data governance frameworks and data transformation services facilitate efficient data handling. Medical device integration, DICOM data exchan

Interoperability within the agricultural implements industry is part of interconnected public policy issues that have arisen because of new market dynamics created by digital technologies. Western Canadian implement manufacturers have identified a major business challenge from the accelerated lock down of software on combines and tractors, which make implement brands incompatible, or inoperable, with original equipment manufacturers' systems. This report looks at the economic significance of agricultural manufacturing in western Canada with additional insight from industry on the effects of a single change to interoperability on agriculture machinery.

The Healthcare Interoperability Solutions Market size was valued at USD 3.87 billion in 2023 and is projected to reach USD 9.77 billion by 2032, exhibiting a CAGR of 14.15 % during the forecasts period. Health care interoperability solutions market is concerned with the means, method, tools, or applications that integrate different Health care providers or systems or devices. These solutions allow patients’ history, records, and clinical data to be integrated into various healthcare systems hence enhancing sharing of data, better care planning, and patient care delivery and overall organizational effectiveness. Some of the uses are the EHR, HIEs, and open data communication in hospitals, clinics, laboratories, and other healthcare facilities. Some of the key factors that will foster this market are the shift towards cloud-based health solutions, compliance requirements for sharing of health information, and advancement resulting in the demand for real-time patient information. It is also subjected to the increase in the adoption of AI, big data analytics and value based care models. Recent developments include: In August 2023, KMS Healthcare, a major provider of healthcare technology products and services, introduced a Healthcare Technology (HIT) interoperability solution, CONNECT, developed to streamline how healthcare institutions exchange and integrate data , In July 2023, the World Health Organization (WHO) collaborated with HL7 to jointly design guidelines and promote the adoption of open interoperability standards critical to developing unbiased and evidence-based digital health , In February 2023, Google Cloud and Redox entered into a partnership to simplify healthcare data exchange so organizations can make better and faster decisions .

[197+ Pages Report] Global healthcare data interoperability market report published by Facts & Factors, estimated that the market is expected to reach USD 4.5 Billion by 2026 with a growth rate of 12.9% CAGR during 2021-2026.

IntroductionThis study is part of the U.S. Food and Drug Administration (FDA)’s Biologics Effectiveness and Safety (BEST) initiative, which aims to improve the FDA’s postmarket surveillance capabilities by using real-world data (RWD). In the United States, using RWD for postmarket surveillance has been hindered by the inability to exchange clinical data between healthcare providers and public health organizations in an interoperable format. However, the Office of the National Coordinator for Health Information Technology (ONC) has recently enacted regulation requiring all healthcare providers to support seamless access, exchange, and use of electronic health information through the interoperable HL7 Fast Healthcare Interoperability Resources (FHIR) standard. To leverage the recent ONC changes, BEST designed a pilot platform to query and receive the clinical information necessary to analyze suspected AEs. This study assessed the feasibility of using the RWD received through the data exchange of FHIR resources to study post-vaccination AE cases by evaluating the data volume, query response time, and data quality.Materials and methodsThe study used RWD from 283 post-vaccination AE cases, which were received through the platform. We used descriptive statistics to report results and apply 322 data quality tests based on a data quality framework for EHR.ResultsThe volume analysis indicated the average clinical resources for a post-vaccination AE case was 983.9 for the median partner. The query response time analysis indicated that cases could be received by the platform at a median of 3 min and 30 s. The quality analysis indicated that most of the data elements and conformance requirements useful for postmarket surveillance were met.DiscussionThis study describes the platform’s data volume, data query response time, and data quality results from the queried postvaccination adverse event cases and identified updates to current standards to close data quality gaps.

The global healthcare data interoperability market, worth USD 3.99 billion in 2024, is expected to surpass USD 15.04 billion by 2034, with a CAGR of 14.2% from 2025 to 2034.

A nursing terminologies resource for systems development. Describes the role of SNOMED CT and Laboratory Observation Identifiers Names and Codes (LOINC) in implementing Meaningful Use in the U.S., specifically for the nursing and care _domain.

The Healthcare Data Interoperability market report offers a thorough competitive analysis, mapping key players’ strategies, market share, and business models. It provides insights into competitor dynamics, helping companies align their strategies with the current market landscape and future trends.

Additional file 2: Appendix B. Example AQL.

Healthcare Data Interoperability MarketMarket is expected to reach a CAGR of YY% By 2031 | DataM Intelligence

To achieve true data interoperability is to eliminate format and data model barriers, allowing you to seamlessly access, convert, and model any data, independent of format. The ArcGIS Data Interoperability extension is based on the powerful data transformation capabilities of the Feature Manipulation Engine (FME), giving you the data you want, when and where you want it.In this course, you will learn how to leverage the ArcGIS Data Interoperability extension within ArcCatalog and ArcMap, enabling you to directly read, translate, and transform spatial data according to your independent needs. In addition to components that allow you to work openly with a multitude of formats, the extension also provides a complex data model solution with a level of control that would otherwise require custom software.After completing this course, you will be able to:Recognize when you need to use the Data Interoperability tool to view or edit your data.Choose and apply the correct method of reading data with the Data Interoperability tool in ArcCatalog and ArcMap.Choose the correct Data Interoperability tool and be able to use it to convert your data between formats.Edit a data model, or schema, using the Spatial ETL tool.Perform any desired transformations on your data's attributes and geometry using the Spatial ETL tool.Verify your data transformations before, after, and during a translation by inspecting your data.Apply best practices when creating a workflow using the Data Interoperability extension.

The Interoperability Proving Ground (IPG) is an open, community platform where you can share, learn, and be inspired by interoperability projects occurring in the United States (and around the world).

The global healthcare interoperability solutions market is experiencing robust growth, driven by the increasing need for seamless data exchange among healthcare providers, payers, and patients. The market's expansion is fueled by several key factors, including the rising adoption of electronic health records (EHRs), the growing emphasis on value-based care, and the increasing prevalence of chronic diseases demanding coordinated care. Government regulations mandating interoperability, such as the 21st Century Cures Act in the US, are further accelerating market adoption. Key players like Allscripts Healthcare, Infor, Interfaceware, InterSystems, Koninklijke Philips, Oracle, and Orion Health are actively developing and deploying innovative solutions to address the diverse needs of the healthcare ecosystem. Competition is fierce, with companies focusing on providing comprehensive platforms that integrate various data sources, offer robust security features, and support a wide range of interoperability standards like FHIR and HL7. The market is segmented by solution type (e.g., cloud-based, on-premise), deployment model, and end-user (hospitals, clinics, pharmacies). Looking ahead, the market is projected to maintain a healthy Compound Annual Growth Rate (CAGR) over the forecast period (2025-2033). Technological advancements, such as the increasing use of artificial intelligence (AI) and machine learning (ML) in healthcare data analytics, are expected to further enhance the capabilities of interoperability solutions. However, challenges remain, including concerns around data security and privacy, the complexity of integrating diverse systems, and the high initial investment costs. Overcoming these hurdles will be crucial for sustained market growth. The focus is shifting towards solutions that prioritize data standardization, robust security protocols, and seamless integration with existing healthcare IT infrastructure. This evolving landscape necessitates ongoing innovation and strategic partnerships to meet the increasing demand for effective and secure healthcare data interoperability.