Interoperability Of Technologies Research Articles

A study of liquidity cross-chain models based on convex optimization

Blockchain after several years of hustle, bustle, precipitation, and sublimation, with the landing application step by step towards maturity and development, gradually spawned the outreach needs of interacting with other applications. At this stage, only the mobility cross-chain interoperability technology is the infrastructure system that can perfectly solve such needs. To achieve a cross-chain system that defines and realizes user-free liquidity interoperability according to the cross-chain environment and cross-chain requirements, this paper designs a convex optimization-based liquidity contract pair cross-chain model. This model can realize a uniform distributed NFT ID construction identification method for the whole chain, and at the same time use the convex optimization model to obtain liquidity contract pairs that have and only have the global optimal matching, and in this way lock the shortest cross-chain time required, with AMM bonding curve management to achieve immediate liquidity effect, and realize the interconnection and interoperability of users’ assets with free liquidity. Finally, the time-consumption, robustness, and radius of convergence of the models are tested by comparing the model experiments and the proposed model’s proposed cross-chain incentive experiments yield results that verify that the proposed convex optimization-based liquidity contract is efficient, applicable, and secure for cross-chain models.

The Views and Experiences of Integrated Care System Commissioners About the Adoption and Implementation of Virtual Wards in England: Qualitative Exploration Study.

Virtual wards (VWs) are being introduced within the National Health Service (NHS) in England as a new way of delivering care to patients who would otherwise be hospitalized. Using digital technologies, patients can receive acute care, remote monitoring, and treatment in their homes. Integrated care system commissioners are employees involved in the planning of, agreeing to, and monitoring of services within NHS England and have an important role in the adoption and implementation of VWs in clinical practice. This study aims to develop an understanding of the acceptability and feasibility of adopting and implementing VWs in England from integrated care system commissioners' perspectives, including the identification of barriers and facilitators to implementation. Qualitative semistructured interviews were conducted with 20 commissioners employed by NHS England (NHSE) in various geographic regions of England. Thematic analysis was conducted, structured using the framework approach, and informed by the Consolidated Framework for Implementation Research. The COREQ (Consolidated Criteria for Reporting Qualitative Research) guidelines were followed. Four overarching themes were identified reflecting the acceptability and feasibility of key adoption and implementation processes: (1) assessing the need for VWs, (2) coordinating a system approach, (3) agreeing to Program Outcomes: NHSE Versus Organizational Goals, and (4) planning and adapting services. Commissioners expressed the need for system-level change in care provision within the NHS, with VWs perceived as a promising model that could reform patient-centered care. However, there was uncertainty over the financial sustainability of VWs, with questions raised as to whether they would be funded by the closure of hospital beds. There was also uncertainty over the extent to which VWs should be technology-enabled, and the specific ways technology may enhance condition-specific pathways. Differing interpretations of the NHSE instructions between different health care sectors and a lack of clarity in definitions, as well as use of hospital-centric language within national guidance, were considered hindrances to convening a system approach. Furthermore, narrow parameters of success measures in terms of goals and outcomes of VWs, unrealistic timescales for planning and delivery, lack of interoperability of technology and time-consuming procurement procedures, liability concerns, and patient suitability for technology-enabled home-based care were identified as barriers to implementation. Motivated and passionate clinical leads were considered key to successful implementation. VWs have the potential to reform patient-centered care in England and were considered a promising approach by commissioners in this study. However, there should be greater clarity over definitions and specifications for technology enablement and evidence provided about how technology can enhance patient care. The use of less hospital-centric language, a greater focus on patient-centered measures of success, and more time allowance to ensure the development of technology-enabled VW services that meet the needs of patients and staff could enhance adoption and implementation.

Analyzing the Alibaba-Suning Partnership: Strategies and Outcomes

This paper deeply discusses the strategic cooperation between Alibaba and Suning Yunshang, and analyzes its strategic significance and cooperation results in the context of new retail. By sharing resources and complementing each other’s strengths, the two sides have built a new retail ecosystem integrating online and offline, and realized the all-round interoperability of goods, services, technologies and data. This cooperation has not only promoted the rapid growth of the two sides’ business, but also promoted the deep integration of the retail industry and the Internet industry, providing a strong reference for the future development of e-commerce and retail industry in China and even the world. The strategic partnership between Alibaba and Suning Yunshang represents a significant milestone in the evolution of new retail, where online and offline channels converge to create a seamless consumer experience. By leveraging each other’s strengths—Alibaba’s robust e-commerce platform and Suning’s extensive offline retail network—the two companies have fostered a new retail ecosystem that integrates goods, services, technologies, and data across both platforms.

Skill Verification Using Blockchain Technology : Ensuring Transparency and Trust

Blockchain technology, with its decentralized, immutable, and transparent nature, offers a promising solution for verifying skills and credentials. This paper explores the potential of blockchain in skill verification, highlighting its advantages, challenges, and potential applications. We delve into the technical aspects of implementing blockchain-based skill verification systems, discussing key considerations such as consensus mechanisms, smart contracts, and data privacy. Additionally, we examine the challenges that may arise in the adoption and implementation of blockchain technology for skill verification, including scalability, interoperability, and regulatory compliance. Finally, we conclude by discussing the future prospects and potential impact of blockchain-based skill verification on various industries

Feasibility and Efficiency of an Integrated Large-Scale Bhungroo Irrigation Technology in West Mamprusi Sub-Catchment, Ghana

Many smallholder farmers are intensifying their production in ecologically harmful ways, necessitating an urgent shift towards sustainable agricultural practices using appropriate local technologies. This study focuses on the feasibility and efficiency of integrated agro-ecological technologies and their impact on socio-economic livelihoods in arid and semi-arid lands, specifically in the West Mamprusi sub-catchment in Ghana. The study evaluates Integrated Bhungroo and Grundfos Lifelink technologies, examining the interoperability and techno-economic aspects of large-scale Bhungroo Irrigation Technology (BIT) deployment. Nine Bhungroos were tested successfully in the West Mamprusi sub-catchment, which served as the field observation site. Using a quasi-experimental design, the study compared responses from Upstream Farming Communities (experimental group) and Downstream Farming Communities (control group) regarding agricultural water adaptation to climatic trends and surface water flow patterns under Bhungroo Irrigation schemes. Field observations revealed that over 95% of the area is underlain by rocks of the Voltaian SuperGroup, with 85% of upstream farmlands consisting of about 80% clay. These materials have low vertical hydraulic conductivities, ranging from 2.56 m/day to 18.27 m/day, leading to waterlogged conditions, especially upstream. Bhungroo technology can be implemented where subsoil strata allow water storage. The highest percentages of waterlogging occur in JAS, with 67% upstream and 48% downstream. Data from BIT pilots indicate that recharge distribution follows the geology, with the highest recharge in areas underlain by Birimian rocks. This suggests a high probability of retention in underground reservoirs for harvesting floodwaters, particularly in the lower catchment area of the West Mamprusi District.

Technological architecture for interoperability in cancer studies

Introduction: Given the high incidence of colorectal cancer among patients at the Holguín Oncology Center and the insufficient interoperability that hinders data collection and analysis, affecting the accuracy of studies, the importance of a technological architecture that enables access to integrated clinical data is emphasized.Objective: To design and evaluate a technological interoperability architecture that optimizes the organization and analysis of clinical data to improve survival studies of colorectal cancer at the Territorial Oncology Center of Holguín.Methods: Using the architecture development method proposed by the TOGAF framework, an interoperability technology architecture was designed. The Kaplan-Meier method was employed for survival analysis, and a study was conducted with a sample of 206 patients diagnosed with colorectal cancer between 2019 and 2024, analyzing variables such as age, sex, histological type, and treatment regimen.Results: Improved interoperability was achieved, reflecting enhanced analysis in cancer survival studies. This allowed for a better understanding of treatment efficacy, disease demographics, and the impact of chemotherapy and surgical treatment.Conclusions: The designed interoperability architecture has facilitated data exchange between systems, improving the collection and organization of clinical information, which has had a significant impact on the optimization of treatments and patient outcomes

PHIRI: lessons for an extensive reuse of sensitive data in federated health research.

The extensive and continuous reuse of sensitive health data could enhance the role of population health research on public decisions. This paper describes the design principles and the different building blocks that have supported the implementation and deployment of Population Health Information Research Infrastructure (PHIRI), the strengths and challenges of the approach and some future developments. The design and implementation of PHIRI have been developed upon: (i) the data visiting principle-data does not move but code moves; (ii) the orchestration of the research question throughout a workflow that ensured legal, organizational, semantic and technological interoperability and (iii) a 'master-worker' federated computational architecture that supported the development of four uses cases. Nine participants nodes and 28 Euro-Peristat members completed the deployment of the infrastructure according to the expected outputs. As a consequence, each use case produced and published their own common data model, the analytical pipeline and the corresponding research outputs. All the digital objects were developed and published according to Open Science and FAIR principles. PHIRI has successfully supported the development of four use cases in a federated manner, overcoming limitations for the reuse of sensitive health data and providing a methodology to achieve interoperability in multiple research nodes.

Deep learning and capsule endoscopy: Automatic multi-brand and multi-device panendoscopic detection of vascular lesions.

Background and study aims Capsule endoscopy (CE) is commonly used as the initial exam for suspected mid-gastrointestinal bleeding after normal upper and lower endoscopy. Although the assessment of the small bowel is the primary focus of CE, detecting upstream or downstream vascular lesions may also be clinically significant. This study aimed to develop and test a convolutional neural network (CNN)-based model for panendoscopic automatic detection of vascular lesions during CE. Patients and methods A multicentric AI model development study was based on 1022 CE exams. Our group used 34655 frames from seven types of CE devices, of which 11091 were considered to have vascular lesions (angiectasia or varices) after triple validation. We divided data into a training and a validation set, and the latter was used to evaluate the model's performance. At the time of division, all frames from a given patient were assigned to the same dataset. Our primary outcome measures were sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and an area under the precision-recall curve (AUC-PR). Results Sensitivity and specificity were 86.4% and 98.3%, respectively. PPV was 95.2%, while the NPV was 95.0%. Overall accuracy was 95.0%. The AUC-PR value was 0.96. The CNN processed 115 frames per second. Conclusions This is the first proof-of-concept artificial intelligence deep learning model developed for pan-endoscopic automatic detection of vascular lesions during CE. The diagnostic performance of this CNN in multi-brand devices addresses an essential issue of technological interoperability, allowing it to be replicated in multiple technological settings.

Abstract P324: Training and Technical Assistance to Improve Hypertension Control in Community Health Centers

Introduction: About 47% of adults in the U.S. have high blood pressure (BP), a contributing factor to major adverse health conditions including heart attack, heart failure, and stroke. Hypertension has also been linked to worse outcomes from COVID-19 infection, resulting in higher rates of hospitalization and death. In 2021, the AHA launched the National Hypertension Control Initiative (NHCI) in 350 community health centers (CHCs). The 3-year initiative aimed to improve BP control and COVID-19 outcomes through training and technical assistance (T/TA) in CHCs with systematic, multi-sector, culturally sensitive and evidence-based interventions, including self-measured blood pressure (SMBP) monitoring. We hypothesize that T/TA with guideline-directed and evidence-based systematic processes can improve BP control in CHCs. Methods: The initiative included complementary components: patient and public education, community outreach and integration, health care professional and organization training, and project management and evaluation. Year one focused on laying a foundation of BP control fundamentals to strengthen knowledge and skills with webinars, office hours, tools, and resources. Years two and three reinforced key concepts, introduced new resources, and provided 1:1 support to CHCs, informed by ongoing evaluation. The adoption of systematic processes with evidence-based and guideline-directed practices were encouraged in CHCs. Recognizing potential differences across CHCs, several T/TA methods were deployed during phases of the initiative in anticipation of evolving CHC needs and readiness. The methods for T/TA include providing a core educational curriculum, developing and distributing customized CHC reports with individualized data, using new and existing resources, including a BP measurement policy and procedure and a BP treatment algorithm, and evaluating methods and practice findings. Early Results: Based on UDS data, overall, BP control rates increased in NHCI CHCs from 51.3% to 57.6% (as defined by the performance measure <140/90 mm Hg), demonstrating a 6.3% absolute increase and a 12.3% relative increase from 2020 to 2022. This is compared to all HRSA CHCs, where BP control rates increased from 58.0% to 63.4%, demonstrating a 5.4% absolute increase and a 9.3% relative increase from 2020 to 2022. While all NHCI CHCs started with BP control rates less than 58.9%, some health centers have demonstrated control rates higher than 70%. Discussion: T/TA with guideline-directed and evidence-based systematic processes may have contributed to increased BP control rates in CHCs. The degree of CHC progress may have been influenced by challenges and limitations, such as the impact of the COVID-19 pandemic on participation, clinical leadership engagement, CHC team staffing turnover, and technology interoperability.

Developing an integrated digital delivery framework for designing and planning construction projects: a review of interoperable digital technologies

The emergence of industry 4.0 has given rise to the application of various digital technologies in the construction industry (CI). However, the integration of these different digital technologies towards the delivery of project objectives has been hampered over the years, especially at the design and planning stages of construction. Thus, the concept of integrated digital delivery (IDD) has been proposed as a means of integrating digital technologies to enhance construction process workflows and productivity through collaboration. This study conducted a critical review of extant literature of IDD application in the CI to identify the technologies which can be readily integrated at the design and planning phase of IDD. This study aims at proposing a system architecture design for the application of digital technologies at the design and planning phase of IDD. To achieve this aim, the study employed a systematic review to analyze 63 papers obtained from Scopus and Web of Science databases. Subsequently, content analysis was used to ascertain prospects and opportunities for integrating and interoperating the identified technologies. This study identified BIM, VR/AR, Digital Twin, Big Data and CPS as the most prominent interoperable technologies for digital design and planning in IDD. This study contributes to the body of knowledge by providing a framework for integrating and adopting these technologies at the digital design and planning phase to improve project performance. This serves as a roadmap for the adoption of digital tools in digital design and planning.

Imperative of Standards and Interoperability in Modern Medicine

In the rapidly evolving landscape of modern medicine, the pivotal role of standards and interoperability cannot be overstated. This research paper delves deep into the intricate web of healthcare systems and processes to show how standardized data formats, robust communication protocols, and interoperable systems can bring about transformative changes. Standardization streamlines data exchange and ensures consistency and accuracy in medical records, making them more reliable for healthcare professionals. It fosters interoperability, enabling different healthcare systems and devices to communicate seamlessly. This interoperability is a game-changer in ensuring patient information flows smoothly across various points of care, leading to improved healthcare quality and patient safety. Drawing from extensive literature reviews and empirical evidence, and this paper unveils the tangible benefits of adopting standardized practices and interoperable technologies in healthcare. However, it also acknowledges the implementation challenges, such as the need for updated infrastructure, privacy concerns, and resistance to change. Despite these challenges, the paper underscores the urgency of adopting a unified approach to standards and interoperability in healthcare. It argues that such an approach will revolutionize patient care and healthcare delivery, facilitating the development of innovative solutions, reducing errors, and ultimately improving patient outcomes.

SIM+: A comprehensive implementation-agnostic information model assisting AI-driven optimization for beyond 5G networks

Forthcoming beyond 5G (B5G) network systems are expected to introduce a new era in the mobile networks, supporting new and challenging use cases and applications. This new era will provide ubiquitous connection of up to billions of devices that are estimated to generate vast amounts of data, paving the way towards a data-driven network system design. In such network design, Artificial Intelligence (AI) will act as a key enabler with regard to network system automation and optimizations. One of the biggest challenges for AI in such complex and dynamic network environments, is the interoperability in terms of seamless exchange and analysis of information between two or more systems. Technological interoperability requires that the format in which data is generated or stored is standardized and that interconnected systems are aware of the nature of transmitted information and are able to analyze it. This paper proposes a novel, comprehensive Information Model (IM), named as SIM+, that extends all across the network, describing different network entities, attributes, capabilities and operations in an implementation-agnostic and standardized way towards assisting AI-driven optimizations. Seven key abstraction layers have been identified in an attempt to hide infrastructure complexities. The adaptability of the proposed SIM+ is showcased through its application in two state-of-the-art AI-driven solutions.

The Role of a Smart Health Ecosystem in Transforming the Management of Chronic Health Conditions.

The effective management of chronic conditions requires an approach that promotes a shift in care from the clinic to the home, improves the efficiency of health care systems, and benefits all users irrespective of their needs and preferences. Digital health can provide a solution to this challenge, and in this paper, we provide our vision for a smart health ecosystem. A smart health ecosystem leverages the interoperability of digital health technologies and advancements in big data and artificial intelligence for data collection and analysis and the provision of support. We envisage that this approach will allow a comprehensive picture of health, personalization, and tailoring of behavioral and clinical support; drive theoretical advancements; and empower people to manage their own health with support from health care professionals. We illustrate the concept with 2 use cases and discuss topics for further consideration and research, concluding with a message to encourage people with chronic conditions, their caregivers, health care professionals, policy and decision makers, and technology experts to join their efforts and work toward adopting a smart health ecosystem.

Healthcare Cybersecurity Ethical Concerns during the COVID-19 Global Pandemic: A Rapid Review.

Healthcare organizations have endured significant challenges and relied upon telehealth and related technological advances during the COVID-19 pandemic to allow for the sustainment of care. The purpose of this study was to systematically identify healthcare cybersecurity ethical concerns experienced during the pandemic to assist with the sustainability of the delivery of care going forward. This study was guided by Preferred Reporting Items for Systematic Reviews and Meta-Analysis protocols for systematic reviews and focused on cybersecurity in healthcare organizations that published articles during the COVID-19 pandemic (March 2020 through October 2022). The articles were accessed using the EBSCOhost and Pub-Med (which queries MEDLINE) platforms, through which the Academic Search Complete, MEDLINE Complete, and Complementary Index databases were accessed. Follow-on supplementary topic modeling allowed for the additional application of ethical principles to the review findings. Among the 22 articles that met the inclusion criteria, three ethical concerns were identified by the rapid review: smart and medical technology concerns (73% of occurrences), at-risk population cybersecurity (55% of occurrences), and legal challenges in data protection (73% of occurrences). The research team also conducted a latent Dirichlet allocation (LDA) analysis, identifying three topics from the review corpus: robotic and biomedical/clinical care outcomes, diagnostic applications, and public health data usage. These were then mapped to primary ethical healthcare principles. The sustainment of healthcare technology interoperability and related telehealth initiatives involves the ongoing assessment of cybersecurity threats and adequate knowledge of related ethical stakeholder concerns to promote ongoing care delivery.

Train Rescheduling for Large Transfer Passenger Flow by Adding Cross-Line Backup Train in Urban Rail Transit

The cross-line operation mode, based on interoperability technology, is becoming increasingly common in urban rail transits (URTs). Compared to trains running on a single line, cross-line trains can greatly facilitate transfer passengers. Taking the scenario of emergent large transfer passenger flow as an example, this paper explores the train rescheduling problem for serving transfer passengers by adding a cross-line backup train. To maximize the number of transfer passengers served by the cross-line backup train, a nonlinear optimization model is constructed by taking into account the operation parameters of planned trains on relevant lines, the deviation degree of the planned timetable, the utilization of the cross-line backup train, and the passenger flow calculation as constraints, and some linearization lemmas are proposed to transform it into a mixed integer programming (MIP) model with quadratic terms. A case study is conducted to discuss the impact of parameter changes on the objective function value and the applicability of different solution approaches. The results suggest that the operation trajectory of the cross-line backup train has an effect on the objective function value, which is related to the demand, the deviation tolerance of the planned timetable, and the running efficiency tolerance of the cross-line backup train. The corresponding methods help guide the organization of the cross-line backup train for large transfer passenger flow scenarios.

A systematic review on the factors governing precision agriculture adoption among small-scale farmers

The global agricultural paradigm is witnessing a transformative shift with the advent of precision agriculture. While large-scale agricultural enterprises have been swift in their embrace of this innovation, its uptake among small-scale farmers remains nuanced and complex. This study elucidates the multi-faceted determinants that influence the adoption of precision agriculture within the small-scale farming sector. The study adopts a systematic literature review approach, meticulously selecting and analysing 29 relevant papers. Drawing upon an exhaustive literature review and empirical analyses, the research presents a composite framework weaving economic, technological, social, and environmental factors. Among these, the social dynamics emerge as the most significant factor, shaped by awareness levels, knowledge dissemination pathways, and entrenched cultural norms. These social elements often intertwine with ingrained traditional practices and perceptions, forming the most intricate layer shaping adoption attitudes. Notably, although economic factors like substantial initial investments and the calculus of Return on Investment are present, they are overshadowed by social considerations. The technological landscape is characterised by the challenges of digital literacy, infrastructural readiness, and technological interoperability. Lastly, environmental imperatives, underscored by resource scarcity, climate change resilience, and ecosystem services, offer both challenges and motivations. Together, these factors delineate the intricate roadmap guiding small-scale farmers in their journey toward precision agriculture adoption. This comprehensive exploration provides stakeholders with actionable insights, fostering informed decision-making and strategic interventions to augment precision agriculture's integration within the small-scale farming tapestry.

Bridging the Data Divide: Secure Sharing and Governance for Effective Cross-Agency and Industry Collaboration

Collaboration between public and private sectors is essential in today's complicated environment to tackle issues like financial crime and public health crises. Interoperability problems and complex data governance requirements are obstacles to safe data exchange, an essential part of this kind of cooperation. This study delves into the topic of safe data sharing methods that allow for collaboration between commercial companies (such pharma and fintech) and federal, state, and municipal governments. Data standardization and access control are among of the issues discussed, with examples from the pharmaceutical and financial technology industries to back up the claims of effective solutions. To overcome the data gap and harness the potential of industry and cross-agency cooperation for mutual benefit, this study argues for strong data governance frameworks and interoperable technology

P2P trading mode for real-time coupled electricity and carbon markets based on a new indicator green energy

The carbon trading market has introduced new opportunities for the low-carbon transformation of China's power industry. To realize real-time coupling of the electric–carbon market at the mechanism level, this study constructs a P2P trading mode that improves economic and environmental benefits through innovative mechanisms. First, we propose a novel indicator, Green Energy, which has multidimensional composite attributes and accurately characterizes the supply of clean and low-carbon energy. Green Energy is used as a matchmaking indicator in the P2P electricity market to increase the rate of renewable energy consumption and encourage emission reduction of fossil energy suppliers. Second, the carbon price is dynamically adjusted according to real-time electricity consumption information and it is transmitted to the electricity market through Green Energy. Third, blockchain cross-chain interoperability technology is introduced to establish a real-time data-sharing network for electricity and carbon co-trading. Moreover, a case study is conducted, and the simulation results show that the proposed method improves social welfare by over 18% compared to the traditional trading mode. And it can improve renewable energy utilization efficiency by 26.78% and reduce carbon emissions by more than 17%. This study provides a reference for the real-time coupled electricity and carbon markets.

Digital twins for the automation of the heritage construction sector

The implementation of emerging technologies generates new possibility for the Architectural Engineering and Construction sector. Specifically, the study focuses on the applications of Digital Twins in the heritage construction sector, an area characterized by significant potentials and challenges in various research fields (e.g., energy, digital technology, citizen engagement, cultural aspects, management, etc.). Bibliographic and scientometric analyses enable the systematic categorization of the literature, analyzing a total of 133 scientific publication realized in the years 2001–2023. The bibliometric analysis outlines time evolution, geographical distribution, type, and disciplinary fields of the publications. Meanwhile, the scientometric research identifies co-occurrence networks of authors, keyworks, and research topics. Thank to these techniques, the following research topics on Digital Twins in the Built Heritage have been identified and clustered: (i) Digital Twins and 3D scanner techniques; (ii) Digital Twins and virtual reality; (iii) Digital Twins and Heritage Building Information Model (HBIM); and (iv) Digital Twins and Internet of Things (IoT). Each technique is critically discussed, highlighting applications, methods, limitations, and gaps in the literature. This analysis also paves the way for future research directions and potential solutions to enhance the automation in the heritage sector. Additionally, a glossary of essential disciplinary terms is provided to guide the understanding of individual definitions as they apply to heritage constructions. The primary challenges relate to accuracy, security, interoperability, and synchronization of data and technologies from various sources, requiring appropriate verification and validation methodologies, as well as tailored standards, protocols, interfaces, and regulations. Moreover, ethical considerations should underlie the utilization of digitally driven predictions that incorporate human-computer techniques, and human–robot interactions. This extends to the formulation of specific policies, and legislation. Only through this approach, the immense potential of digital technologies can emerge to create cross-cutting professions, interactive engagement techniques, and compatible preservation and management activities.

Impact of primary to secondary care data sharing on care quality in NHS England hospitals

Health information exchange (HIE) is seen as a key component of effective care but remains poorly evidenced at a health system level. In the UK National Health Service (NHS), the ability to share primary care data with secondary care clinicians is a focus of continued digital investment. In this study, we report the evolution of interoperable technology across a period of rapid digital transformation in NHS England from 2015 to 2019, and test association of primary to secondary care data-sharing capabilities with clinical care quality indicators across all acute secondary care providers (n = 135 NHS Trusts). In multivariable analyses, data-sharing capabilities are associated with reduction in patients breaching an Accident & Emergency (A&E) 4-h decision time threshold, and better patient-reported experience of acute hospital care quality. Using synthetic control analyses, we estimate mean 2.271% (STD+/−3.371) absolute reduction in A&E 4-h decision time breach, 12 months following introduction of data-sharing capabilities. Our findings support current digital transformation programmes for developing regional HIE networks but highlight the need to focus on implementation factors in addition to technological procurement.