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Journal articles on the topic 'FHIR Standards'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Strasberg, Howard R., Bryn Rhodes, Guilherme Del Fiol, Robert A. Jenders, Peter J. Haug, and Kensaku Kawamoto. "Contemporary clinical decision support standards using Health Level Seven International Fast Healthcare Interoperability Resources." Journal of the American Medical Informatics Association 28, no. 8 (2021): 1796–806. http://dx.doi.org/10.1093/jamia/ocab070.

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Abstract Objective To facilitate the development of standards-based clinical decision support (CDS) systems, we review the current set of CDS standards that are based on Health Level Seven International Fast Healthcare Interoperability Resources (FHIR). Widespread adoption of these standards may help reduce healthcare variability, improve healthcare quality, and improve patient safety. Target Audience This tutorial is designed for the broad informatics community, some of whom may be unfamiliar with the current, FHIR-based CDS standards. Scope This tutorial covers the following standards: Arden

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Lobach, David F., Aziz Boxwala, Nitu Kashyap, et al. "Integrating a Patient Engagement App into an Electronic Health Record-Enabled Workflow Using Interoperability Standards." Applied Clinical Informatics 13, no. 05 (2022): 1163–71. http://dx.doi.org/10.1055/s-0042-1758736.

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Abstract Background Patient use of mobile health applications is increasing. To promote patient-centered care, data from these apps must be integrated into clinician workflows within the electronic health record (EHR). Health Level 7 Fast Healthcare Interoperability Resources (FHIR) offers a standards-based application programming interface (API) that may support such integration. Objective We aimed to use interoperability standards to integrate a patient mobile application (coronavirus 2019 [COVID-19] Tracker) with an EHR. The COVID-19 Tracker engages patients by sending introductory and remi

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Mandel, Joshua C., David A. Kreda, Kenneth D. Mandl, Isaac S. Kohane, and Rachel B. Ramoni. "SMART on FHIR: a standards-based, interoperable apps platform for electronic health records." Journal of the American Medical Informatics Association 23, no. 5 (2016): 899–908. http://dx.doi.org/10.1093/jamia/ocv189.

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Abstract Objective In early 2010, Harvard Medical School and Boston Children’s Hospital began an interoperability project with the distinctive goal of developing a platform to enable medical applications to be written once and run unmodified across different healthcare IT systems. The project was called Substitutable Medical Applications and Reusable Technologies (SMART). Methods We adopted contemporary web standards for application programming interface transport, authorization, and user interface, and standard medical terminologies for coded data. In our initial design, we created our own op

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Ayaz, Muhammad, Muhammad Fermi Pasha, Tham Yu Le, Tahani Jaser Alahmadi, Nik Nailah Binti Abdullah, and Zaid Ali Alhababi. "A Framework for Automatic Clustering of EHR Messages Using a Spatial Clustering Approach." Healthcare 11, no. 3 (2023): 390. http://dx.doi.org/10.3390/healthcare11030390.

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Although Health Level Seven (HL 7) message standards (v2, v3, Clinical Document Architecture (CDA)) have been commonly adopted, there are still issues associated with them, especially the semantic interoperability issues and lack of support for smart devices (e.g., smartphones, fitness trackers, and smartwatches), etc. In addition, healthcare organizations in many countries are still using proprietary electronic health record (EHR) message formats, making it challenging to convert to other data formats—particularly the latest HL7 Fast Health Interoperability Resources (FHIR) data standard. The

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Terry, May, Howard Anton, Michelle Casagni, Srikar Chamala, and James Lin Chen. "Exchanging genomics reports between pathology labs and medical centers using the Minimal Clinical Oncology Data Element (mCODE) FHIR implementation guide." Journal of Clinical Oncology 41, no. 16_suppl (2023): e13575-e13575. http://dx.doi.org/10.1200/jco.2023.41.16_suppl.e13575.

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e13575 Background: The automated transfer of discrete molecular data from pathology labs into the electronic health record (EHR) is rapidly becoming commonplace and is designed to facilitate clinical decision making. Simple genomic changes are represented in existing EHR data transfer standards, but current data standards lack clinical fields that correspond to treatment insights such as associated medications and potential clinical trials. To address this, the mCODE effort defines a consensus oncology data standard that facilitates lightweight transmission of data from patients with cancer. m

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Lee, Preston, Daniel Mendoza, Martha Kaiser, Eric Lott, Gagandeep Singh, and Adela Grando. "FHIR Granular Sensitive Data Segmentation." Applied Clinical Informatics 16, no. 01 (2025): 156–66. https://doi.org/10.1055/a-2466-4371.

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Abstract Background Due to fear of stigma, patients want more control over the sharing of sensitive medical records. The Substance Abuse and Mental Health Administration (SAMHSA) and the Office of the National Coordinator (ONC) supported the development of standards-compliant, consent-respecting medical record exchange technology using metadata labeling (e.g., substance use information). Existing technologies must be updated with newer standards and support more than binary-sensitive categorizations to better align with how physicians categorize sensitive medical records. Objectives Our goal w

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Lenivtceva, Iuliia D., and Georgy Kopanitsa. "Evaluating Manual Mappings of Russian Proprietary Formats and Terminologies to FHIR." Methods of Information in Medicine 58, no. 04/05 (2019): 151–59. http://dx.doi.org/10.1055/s-0040-1702154.

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Abstract Background Evaluating potential data losses from mapping proprietary medical data formats to standards is essential for decision making. The article implements a method to evaluate the preliminary content overlap of proprietary medical formats, including national terminologies and Fast Healthcare Interoperability Resources (FHIR)—international medical standard. Methods Three types of mappings were evaluated in the article: proprietary format matched to FHIR, national terminologies matched to the FHIR mappings, and concepts from national terminologies matched to Systematized Nomenclatu

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Buchholz, Ralf. "IT-Standards: Schmiermittel im Datenfluss." kma - Klinik Management aktuell 24, no. 10 (2019): 68–69. http://dx.doi.org/10.1055/s-0039-1700428.

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Nicht nur Daten sind ständig im Fluss. Auch die Standards, die dafür sorgen, dass die Daten zwischen verschiedenen Informationssystemen nicht ins Stocken geraten, sind einem steten Wandel unterworfen. Zu den wichtigsten für den Austausch medizinischer Daten gehören DICOM, HL7, FHIR und IHE.

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Jaffe, Charles, Daniel J. Vreeman, Diego Kaminker, and Viet Nguyen. "Implementing HL7 FHIR." Journal of Healthcare Management Standards 2, no. 1 (2023): 1–8. http://dx.doi.org/10.4018/jhms.316144.

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Fast Healthcare Interoperability Resources (FHIR), created by HL7 more than a decade ago, has become a global standard for exchanging data. Communities of interest have organized under the HL7 FHIR Accelerator Program to develop implementation guides and applications for patient care, health payment systems, public health, patient engagement, clinical and basic research, and social determinants of health. Despite efforts to coordinate the creation of applications in an ever-increasing diversity of use cases, there have been challenges to ensure semantic interoperability, security, privacy, con

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Ayaz, Muhammad, Muhammad Fermi Pasha, Tahani Jaser Alahmadi, Nik Nailah Binti Abdullah, and Hend Khalid Alkahtani. "Transforming Healthcare Analytics with FHIR: A Framework for Standardizing and Analyzing Clinical Data." Healthcare 11, no. 12 (2023): 1729. http://dx.doi.org/10.3390/healthcare11121729.

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In this study, we discussed our contribution to building a data analytic framework that supports clinical statistics and analysis by leveraging a scalable standards-based data model named Fast Healthcare Interoperability Resource (FHIR). We developed an intelligent algorithm that is used to facilitate the clinical data analytics process on FHIR-based data. We designed several workflows for patient clinical data used in two hospital information systems, namely patient registration and laboratory information systems. These workflows exploit various FHIR Application programming interface (APIs) t

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Saberi, Mohammad Ali, Hamid Mcheick, and Mehdi Adda. "From Data Silos to Health Records Without Borders: A Systematic Survey on Patient-Centered Data Interoperability." Information 16, no. 2 (2025): 106. https://doi.org/10.3390/info16020106.

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The widespread use of electronic health records (EHRs) and healthcare information systems (HISs) has led to isolated data silos across healthcare providers, and current interoperability standards like FHIR cannot address some scenarios. For instance, it cannot retrieve patients’ health records if they are stored by multiple healthcare providers with diverse interoperability standards or the same standard but different implementation guides. FHIR and similar standards prioritize institutional interoperability rather than patient-centered interoperability. We explored the challenges in transform

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Mukhiya, Suresh Kumar, and Yngve Lamo. "An HL7 FHIR and GraphQL approach for interoperability between heterogeneous Electronic Health Record systems." Health Informatics Journal 27, no. 3 (2021): 146045822110439. http://dx.doi.org/10.1177/14604582211043920.

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Heterogeneities in data representation and care processes create interoperability complexity among Electronic Health Record systems (EHRs). We can resolve such data and process level heterogeneities by following consistent healthcare standards like Clinical Document Architecture (CDA), OpenEHR, and HL7 FHIR. However, these standards also differ at the structural and implementation level, making interoperability more complex. Hence, there is a need to investigate mechanisms that can resolve data level heterogeneity to achieve semantic data interoperability between heterogeneous systems. As a so

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DiDonato, Anthony, Caitlin Drumheller, Gail Winters, and Rebecca Metzger. "CodeX quality measures for cancer: Leveraging FHIR and mCODE to support digital quality measures." JCO Oncology Practice 19, no. 11_suppl (2023): 466. http://dx.doi.org/10.1200/op.2023.19.11_suppl.466.

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466 Background: CodeX is a member-driven Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) Accelerator, building a community to fast-track interoperable data modeling and implementation of new FHIR data standards leading to step-change improvements in patient care and research. The Quality Measures for Cancer project asks the question, “Can oncology quality measures be effectively authored and executed using minimal Common Oncology Data Elements (mCODE) — an initiative intended to assemble a core set of structured data elements for oncology electronic health records (E

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Ryu, Borim, Soo-Yong Shin, Rong-Min Baek, et al. "Clinical Genomic Sequencing Reports in Electronic Health Record Systems Based on International Standards: Implementation Study." Journal of Medical Internet Research 22, no. 8 (2020): e15040. http://dx.doi.org/10.2196/15040.

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Background To implement standardized machine-processable clinical sequencing reports in an electronic health record (EHR) system, the International Organization for Standardization Technical Specification (ISO/TS) 20428 international standard was proposed for a structured template. However, there are no standard implementation guidelines for data items from the proposed standard at the clinical site and no guidelines or references for implementing gene sequencing data results for clinical use. This is a significant challenge for implementation and application of these standards at individual s

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Garcia, Stephanie J., Teresa Zayas-Cabán, and Robert R. Freimuth. "Sync for Genes: Making Clinical Genomics Available for Precision Medicine at the Point-of-Care." Applied Clinical Informatics 11, no. 02 (2020): 295–302. http://dx.doi.org/10.1055/s-0040-1708051.

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Abstract Background Making genomic data available at the point-of-care and for research is critical for the success of the Precision Medicine Initiative (PMI), a research initiative which seeks to change health care by “tak(ing) into account individual differences in people's genes, environments, and lifestyles.” The Office of the National Coordinator for Health Information Technology (ONC) led Sync for Genes, a program to develop standards that make genomic data available when and where it matters most. This article discusses lessons learned from recent Sync for Genes activities. Objectives T

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Zong, Nansu, Andrew Wen, Daniel J. Stone, et al. "Developing an FHIR-Based Computational Pipeline for Automatic Population of Case Report Forms for Colorectal Cancer Clinical Trials Using Electronic Health Records." JCO Clinical Cancer Informatics, no. 4 (September 2020): 201–9. http://dx.doi.org/10.1200/cci.19.00116.

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PURPOSE The Fast Healthcare Interoperability Resources (FHIR) is emerging as a next-generation standards framework developed by HL7 for exchanging electronic health care data. The modeling capability of FHIR in standardizing cancer data has been gaining increasing attention by the cancer research informatics community. However, few studies have been conducted to examine the capability of FHIR in electronic data capture (EDC) applications for effective cancer clinical trials. The objective of this study was to design, develop, and evaluate an FHIR-based method that enables the automation of the

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Hong, Na, Andrew Wen, Feichen Shen, et al. "Developing a scalable FHIR-based clinical data normalization pipeline for standardizing and integrating unstructured and structured electronic health record data." JAMIA Open 2, no. 4 (2019): 570–79. http://dx.doi.org/10.1093/jamiaopen/ooz056.

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Abstract Objective To design, develop, and evaluate a scalable clinical data normalization pipeline for standardizing unstructured electronic health record (EHR) data leveraging the HL7 Fast Healthcare Interoperability Resources (FHIR) specification. Methods We established an FHIR-based clinical data normalization pipeline known as NLP2FHIR that mainly comprises: (1) a module for a core natural language processing (NLP) engine with an FHIR-based type system; (2) a module for integrating structured data; and (3) a module for content normalization. We evaluated the FHIR modeling capability focus

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Ayaz, Muhammad, Muhammad F. Pasha, Mohammed Y. Alzahrani, Rahmat Budiarto, and Deris Stiawan. "The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities." JMIR Medical Informatics 9, no. 7 (2021): e21929. http://dx.doi.org/10.2196/21929.

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Background Information technology has shifted paper-based documentation in the health care sector into a digital form, in which patient information is transferred electronically from one place to another. However, there remain challenges and issues to resolve in this domain owing to the lack of proper standards, the growth of new technologies (mobile devices, tablets, ubiquitous computing), and health care providers who are reluctant to share patient information. Therefore, a solid systematic literature review was performed to understand the use of this new technology in the health care sector

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Ahmad, Hafiz Farooq, Fatimah Mohammad Alhassan, Asrar Haque, and Sarah Shafqat. "A Secure Architecture for Interoperable Personal Health Records (PHR) Based on Blockchain and FHIR." Journal of Pioneering Medical Sciences 14, no. 2 (2025): 42–48. https://doi.org/10.47310/jpms2025140207.

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Personal Health Records (PHRs) would empower patients play active role for quality healthcare provision and access for routine checkup and self-care management. There is a need to recognize security, privacy and interoperability issues for successful design, implementation and adoption of PHR at a wider scale. However, it is one of the greatest challenges to achieve interoperability, security and privacy simultaneously in healthcare domain. Health Level Seven (HL7) international standards body is working to propose interoperability standards for healthcare information systems. However, privacy

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Bamidele, Samuel Adelusi, Osamika Damilola, Chinyeaka Kelvin-Agwu MariaTheresa, Yetunde Mustapha Ashiata, Yeboah Forkuo Adelaide, and Ikhalea Nura. "A Federated Interoperability Framework for Seamless Health Data Exchange Using FHIR Standards Across Multi-Hospital Systems." Engineering and Technology Journal 10, no. 05 (2025): 4672–95. https://doi.org/10.5281/zenodo.15341965.

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In the modern healthcare landscape, seamless and secure exchange of patient health data across disparate hospital systems remains a critical challenge. Existing infrastructures are often siloed, leading to data fragmentation, increased administrative burden, and compromised patient outcomes. This study proposes a Federated Interoperability Framework leveraging Fast Healthcare Interoperability Resources (FHIR) standards to enable seamless, standardized, and secure health data exchange across multi-hospital systems. The framework integrates federated learning principles with robust data governan

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Saripalle, Rishi Kanth. "Fast Health Interoperability Resources (FHIR)." International Journal of E-Health and Medical Communications 10, no. 1 (2019): 76–93. http://dx.doi.org/10.4018/ijehmc.2019010105.

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The inception of EHR has shown a lot of potentials and virtually eliminated the drawbacks of paper-based medical notes. However, the transition has not been seamless due to various technical and political drawbacks. One of the major technical challenges is interoperability. The biomedical community has established various structural and semantic standards to capture and share medical data across heterogeneous systems such as ASTM Community Care Record, Health Level 7 (HL7) Clinical Care Document, etc. The HL7 organization has recently published Fast Health Interoperability Resources (FHIR) – a

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Garza, Maryam Y., Fred Prior, Joseph A. Sanford, Kevin W. Sexton, and Meredith N. Zozus. "474 Innovative solutions to streamline data collection, exchange, and utilization in translational research." Journal of Clinical and Translational Science 6, s1 (2022): 94. http://dx.doi.org/10.1017/cts.2022.277.

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OBJECTIVES/GOALS: To determine the utility of any standard, one must first evaluate whether or not the standard meets the needs of the use case it is meant to support. We aim to quantify data availability of the HL7 FHIR standard to support data collection for three state-based registries in a rural state and measure the potential effects on data quality and collection time. METHODS/STUDY POPULATION: FHIR mapping will be performed to assess the level of HL7 FHIR standard completeness (or data element coverage) in supporting data collection for the three registries. A systematic approach, previ

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Gorbunov, N. A., V. O. Kuleshova, and V. M. Korzhuk. "Integration of enhanced qualified electronic signature to the fast healthcare interoperability resources (FHIR RU-core) protocol." Scientific and Technical Journal of Information Technologies, Mechanics and Optics 25, no. 2 (2025): 311–20. https://doi.org/10.17586/2226-1494-2025-25-2-311-320.

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The article discusses how to use the Russian profile of the Fast Healthcare Interoperability Resources (FHIR) RU-core protocol for medical information systems developing. An enhanced qualified electronic signature has been used for information protection for a long time; however, it is currently being implemented for the first time with the FHIR RU-core protocol to protect medical information systems. The goal of the research is enhanced qualified electronic signature integration for organizations developing secure software for medical information systems. To reach the goal, the following task

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Prakosa, Hendri Kurniawan, Hasan Nurul Ibad, and Saiful Anwar. "Prototype for Implementing Data Exchange with The FHIR-HL7 Standard in The Personal Health Record Application." Intechno Journal (Information Technology Journal) 6, no. 2 (2024): 122–29. https://doi.org/10.24076/intechnojournal.2024v6i2.1902.

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Monitoring health is essential for early disease detection, prevention, and managing chronic conditions. Active tracking empowers patients to make informed decisions and adhere to treatments, improving outcomes. However, fragmented medical records across facilities can lead to incomplete information. Integrating records through interoperable systems provides patients and providers with a comprehensive health overview, ensuring continuity, reducing redundancies, and enhancing collaboration. Centralized health data enables better monitoring for patients and more personalized, efficient care from

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Gottumukkala, Madhu. "A Systematic Literature Review of Interoperability in Healthcare Using FHIR." Journal of Systemics, Cybernetics and Informatics 21, no. 1 (2023): 31–38. http://dx.doi.org/10.54808/jsci.21.01.31.

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Despite the available modern technologies, we live in a "fragmented" healthcare system, in which data is stored in multiple sources and a variety of formats and standards without direct communication. However, in the upcoming years, interoperability is emerging, defined as the ability of different information systems, devices, or applications to connect within and across organizational boundaries to access, exchange, and cooperatively use data amongst physicians and patients. We conducted our study using two databases, PubMed and Web of Science, to explore Fast Healthcare Interoperability Reso

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Santosh Ratna Deepika Addagalla. "The Future of Healthcare: Patient-Owned Data and the Role of FHIR in Burden Reduction." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 3404–21. https://doi.org/10.32628/cseit25112814.

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The healthcare landscape is undergoing a fundamental transformation through the shift to patient-owned data and FHIR-based interoperability. This transition places individuals at the center of their health information ecosystem, empowering them as active stewards rather than passive recipients of care documentation. FHIR serves as the technical foundation enabling this revolution through its RESTful architecture, resource-based data model, and integration with industry-standard security protocols. The implementation of FHIR standards addresses longstanding challenges of fragmented health recor

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Madhavi Latha Vadlamudi. "Understanding data integration in healthcare systems: A technical overview." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 572–78. https://doi.org/10.30574/wjaets.2025.15.1.0232.

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This article examines the technical foundations of data integration across healthcare systems, addressing the challenges and opportunities in connecting diverse clinical platforms. It explores how Electronic Health Records, Health Information Systems, and Laboratory Information Management Systems interact within modern healthcare environments and identifies the core standards driving interoperability, including HL7, FHIR, and Clinical Document Architecture. The article details implementation strategies such as interface engines, API management, and Master Data Management solutions that enable

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Jayathissa, Prabath, and Roshan Hewapathrana. "HAPI-FHIR Server Implementation to Enhancing Interoperability among Primary Care Health Information Systems in Sri Lanka: Review of the Technical Use Case." European Modern Studies Journal 7, no. 6 (2024): 225–41. http://dx.doi.org/10.59573/emsj.7(6).2023.23.

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This comprehensive review underscores the paramount importance of interoperability within the digital health landscape, emphasizing the necessity for a standardized framework to facilitate effective communication among healthcare professionals and institutions. The primary focus of this discourse centres on implementing a Fast Healthcare Interoperability Resources (FHIR) server, recognised as a pivotal solution addressing technical, semantic, and process interoperability failures. This standardised framework ensures uniformity and facilitates efficient communication and real-time data access w

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Alterovitz, Gil, Jeremy Warner, Peijin Zhang, et al. "SMART on FHIR Genomics: facilitating standardized clinico-genomic apps." Journal of the American Medical Informatics Association 22, no. 6 (2015): 1173–78. http://dx.doi.org/10.1093/jamia/ocv045.

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Abstract Background Supporting clinical decision support for personalized medicine will require linking genome and phenome variants to a patient’s electronic health record (EHR), at times on a vast scale. Clinico-genomic data standards will be needed to unify how genomic variant data are accessed from different sequencing systems. Methods A specification for the basis of a clinic-genomic standard, building upon the current Health Level Seven International Fast Healthcare Interoperability Resources (FHIR®) standard, was developed. An FHIR application protocol interface (API) layer was attached

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Halilaj, Malvina, Suela Vasil, Anxhela Kosta, and Ilma Lili. "Interoperability within Healthcare Systems through FHIR, Artificial Intelligence and Cloud Integration." International Journal of Engineering and Advanced Technology Studies 13, no. 1 (2025): 22–28. https://doi.org/10.37745/ijeats.13/vol13n12228.

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One of the main challenges for healthcare interoperability is defining common standards for the structured content of healthcare data and the transport of this data between different systems. The purpose of this paper is to enable the exchange of these data, with a focus on the FHIR (Fast Healthcare Interoperability Resources) protocol which created the HL7 (Health Level Seven International) standard, a framework that has become widely adopted by all stakeholders around the world to determine the content of this data and the way they want to share it and to identify the potential of the integr

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Amar, Fouzia, Alain April, and Alain Abran. "Electronic Health Record and Semantic Issues Using Fast Healthcare Interoperability Resources: Systematic Mapping Review." Journal of Medical Internet Research 26 (January 30, 2024): e45209. http://dx.doi.org/10.2196/45209.

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Background The increasing use of electronic health records and the Internet of Things has led to interoperability issues at different levels (structural and semantic). Standards are important not only for successfully exchanging data but also for appropriately interpreting them (semantic interoperability). Thus, to facilitate the semantic interoperability of data exchanged in health care, considerable resources have been deployed to improve the quality of shared clinical data by structuring and mapping them to the Fast Healthcare Interoperability Resources (FHIR) standard. Objective The aims o

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Faisal, Hiro Putra, and Masaharu Nakayama. "Implementation of the World Health Organization Minimum Dataset for Emergency Medical Teams to Create Disaster Profiles for the Indonesian SATUSEHAT Platform Using Fast Healthcare Interoperability Resources: Development and Validation Study." JMIR Medical Informatics 12 (August 28, 2024): e59651-e59651. http://dx.doi.org/10.2196/59651.

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Abstract Background The National Disaster Management Agency (Badan Nasional Penanggulangan Bencana) handles disaster management in Indonesia as a health cluster by collecting, storing, and reporting information on the state of survivors and their health from various sources during disasters. Data were collected on paper and transferred to Microsoft Excel spreadsheets. These activities are challenging because there are no standards for data collection. The World Health Organization (WHO) introduced a standard for health data collection during disasters for emergency medical teams (EMTs) in the

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Akhmetov, Adil, Zohaib Latif, Benjamin Tyler, and Adnan Yazici. "Enhancing healthcare data privacy and interoperability with federated learning." PeerJ Computer Science 11 (May 8, 2025): e2870. https://doi.org/10.7717/peerj-cs.2870.

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This article explores the application of federated learning (FL) with the Fast Healthcare Interoperability Resources (FHIR) protocol to address the underutilization of the huge volumes of healthcare data generated by the digital health revolution, especially those from wearable sensors, due to privacy concerns and interoperability challenges. Despite advances in electronic medical records, mobile health applications, and wearable sensors, current digital health cannot fully exploit these data due to the lack of data analysis and exchange between heterogeneous systems. To address this gap, we p

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Dullabh, Prashila, Lauren Hovey, Krysta Heaney-Huls, Nithya Rajendran, Adam Wright, and Dean F. Sittig. "Application Programming Interfaces in Health Care: Findings from a Current-State Sociotechnical Assessment." Applied Clinical Informatics 11, no. 01 (2020): 059–69. http://dx.doi.org/10.1055/s-0039-1701001.

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Abstract Objective Interest in application programming interfaces (APIs) is increasing as key stakeholders look for technical solutions to interoperability challenges. We explored three thematic areas to assess the current state of API use for data access and exchange in health care: (1) API use cases and standards; (2) challenges and facilitators for read and write capabilities; and (3) outlook for development of write capabilities. Methods We employed four methods: (1) literature review; (2) expert interviews with 13 API stakeholders; (3) review of electronic health record (EHR) app gallerie

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McClure, Robert C., Caroline L. Macumber, Julia L. Skapik, and Anne Marie Smith. "Igniting Harmonized Digital Clinical Quality Measurement through Terminology, CQL, and FHIR." Applied Clinical Informatics 11, no. 01 (2020): 023–33. http://dx.doi.org/10.1055/s-0039-3402755.

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Abstract Background Electronic clinical quality measures (eCQMs) seek to quantify the adherence of health care to evidence-based standards. This requires a high level of consistency to reduce the effort of data collection and ensure comparisons are valid. Yet, there is considerable variability in local data capture, in the use of data standards and in implemented documentation processes, so organizations struggle to implement quality measures and extract data reliably for comparison across patients, providers, and systems. Objective In this paper, we discuss opportunities for harmonization wit

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Thayer, Jeritt G., Daria F. Ferro, Jeffrey M. Miller, et al. "Human-centered development of an electronic health record-embedded, interactive information visualization in the emergency department using fast healthcare interoperability resources." Journal of the American Medical Informatics Association 28, no. 7 (2021): 1401–10. http://dx.doi.org/10.1093/jamia/ocab016.

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Abstract Objective Develop and evaluate an interactive information visualization embedded within the electronic health record (EHR) by following human-centered design (HCD) processes and leveraging modern health information exchange standards. Materials and Methods We applied an HCD process to develop a Fast Healthcare Interoperability Resources (FHIR) application that displays a patient’s asthma history to clinicians in a pediatric emergency department. We performed a preimplementation comparative system evaluation to measure time on task, number of screens, information retrieval accuracy, co

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Semenov, Ilia, Roman Osenev, Sergey Gerasimov, Georgy Kopanitsa, Dmitry Denisov, and Yuriy Andreychuk. "Experience in Developing an FHIR Medical Data Management Platform to Provide Clinical Decision Support." International Journal of Environmental Research and Public Health 17, no. 1 (2019): 73. http://dx.doi.org/10.3390/ijerph17010073.

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This paper is an extension of work originally presented to pHealth 2019—16th International Conference on Wearable, Micro and Nano Technologies for Personalized Health. To provide an efficient decision support, it is necessary to integrate clinical decision support systems (CDSSs) in information systems routinely operated by healthcare professionals, such as hospital information systems (HISs), or by patients deploying their personal health records (PHR). CDSSs should be able to use the semantics and the clinical context of the data imported from other systems and data repositories. A CDSS plat

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Dheerendra, Yaganti. "Designing Privacy-First Health Monitoring Architectures Using Federated AI and FHIR-Compliant Azure Health Data Services In .NET." Journal of Scientific and Engineering Research 11, no. 8 (2024): 215–20. https://doi.org/10.5281/zenodo.15241066.

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The rapid advancement of digital health technologies necessitates architectures that ensure data privacy, regulatory compliance, and intelligent analytics. This paper presents a privacy-first health monitoring system that integrates Federated Artificial Intelligence (AI), Fast Healthcare Interoperability Resources (FHIR), and Azure Health Data Services within a .NET framework. The proposed architecture enables real-time health data collection and decentralized machine learning while preserving patient privacy and meeting HIPAA and FHIR compliance standards. By leveraging federated learning, th

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Taber, Peter, Christina Radloff, Guilherme Del Fiol, Catherine Staes, and Kensaku Kawamoto. "New Standards for Clinical Decision Support: A Survey of The State of Implementation." Yearbook of Medical Informatics 30, no. 01 (2021): 159–71. http://dx.doi.org/10.1055/s-0041-1726502.

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Summary Objectives: To review the current state of research on designing and implementing clinical decision support (CDS) using four current interoperability standards: Fast Healthcare Interoperability Resources (FHIR); Substitutable Medical Applications and Reusable Technologies (SMART); Clinical Quality Language (CQL); and CDS Hooks. Methods: We conducted a review of original studies describing development of specific CDS tools or infrastructures using one of the four targeted standards, regardless of implementation stage. Citations published any time before the literature search was execute

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Dolin, R. H., A. Boxwala, and J. Shalaby. "A Pharmacogenomics Clinical Decision Support Service Based on FHIR and CDS Hooks." Methods of Information in Medicine 57, S 02 (2018): e115-e123. http://dx.doi.org/10.1055/s-0038-1676466.

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Objectives Pharmacogenomics (PGx) is often considered a low-hanging fruit for genomics–electronic health record (EHR) integrations, and many have expressed the notion that drug–gene interaction checking might one day become as much a commodity in EHRs as drug–drug and drug–allergy checking. In addition, the U.S. Office of the National Coordinator has recognized the trend toward storing complete sequencing data outside the EHR in a Genomic Archiving and Communication System (GACS) and has emphasized the need for “pilots that test Fast Healthcare Interoperability Resources (FHIR) Genomics for GA

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Agnew, James, Pat Helland, and Adam Cole. "FHIR: Reducing Friction in the Exchange of Healthcare Data." Queue 20, no. 2 (2022): 67–88. http://dx.doi.org/10.1145/3534861.

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With the full clout of the Centers for Medicare and Medicaid Services currently being brought to bear on healthcare providers to meet high standards for patient data interoperability and accessibility, it would be easy to assume the only reason this goal wasn't accomplished long ago is simply a lack of will. Interoperable data? How hard can that be? Much harder than you think, it turns out. To dig into why this is the case, we asked Pat Helland, a principal architect at Salesforce, to speak with James Agnew (CTO) and Adam Cole (senior solutions architect) of Smile CDR, a Toronto, Ontario-based

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Lenert, Leslie A., Andrey V. Ilatovskiy, James Agnew, et al. "Automated production of research data marts from a canonical fast healthcare interoperability resource data repository: applications to COVID-19 research." Journal of the American Medical Informatics Association 28, no. 8 (2021): 1605–11. http://dx.doi.org/10.1093/jamia/ocab108.

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Abstract Objective The rapidly evolving COVID-19 pandemic has created a need for timely data from the healthcare systems for research. To meet this need, several large new data consortia have been developed that require frequent updating and sharing of electronic health record (EHR) data in different common data models (CDMs) to create multi-institutional databases for research. Traditionally, each CDM has had a custom pipeline for extract, transform, and load operations for production and incremental updates of data feeds to the networks from raw EHR data. However, the demands of COVID-19 res

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Michaels, Maria, Nathan E. Botts, Susan Hassell, et al. "Initial Real-World Pilot of the MedMorph Reference Architecture: Hepatitis C Surveillance and Research." Applied Clinical Informatics 16, no. 02 (2025): 234–44. https://doi.org/10.1055/a-2441-6100.

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Abstract Objectives This study aimed to demonstrate real-world use of the Making Electronic Data More Available for Research and Public Health (MedMorph) Reference Architecture (RA) for automated exchange of hepatitis C-related data for public health surveillance and research using Fast Healthcare Interoperability Resources (FHIR). Methods Pilot participants included a public health authority (PHA), research organization (RO), clinical sites, and electronic health record (EHR) vendors. The RA was tested for hepatitis C public health surveillance and research data exchange. A mixed methods eval

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Lin, Ching-Hsiung, Bing-Yen Wang, Sheng-Hao Lin, et al. "Process Re-Engineering and Data Integration Using Fast Healthcare Interoperability Resources for the Multidisciplinary Treatment of Lung Cancer." JMIR Cancer 11 (May 5, 2025): e53887-e53887. https://doi.org/10.2196/53887.

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Abstract Multidisciplinary team (MDT) meetings play a critical role in cancer care by fostering collaboration between different health care professionals to develop optimal treatment recommendations. However, meeting scheduling and coordination rely heavily on manual work, making information-sharing and integration challenging. This results in incomplete information, affecting decision-making efficiency and impacting the progress of MDT. This project aimed to optimize and digitize the MDT workflow by interviewing the members of an MDT and implementing an integrated information platform using t

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Jat, Avnish Singh, Tor-Morten Grønli, George Ghinea, and Gebremariam Assres. "Evolving Software Architecture Design in Telemedicine: A PRISMA-based Systematic Review." Healthcare Informatics Research 30, no. 3 (2024): 184–93. http://dx.doi.org/10.4258/hir.2024.30.3.184.

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Objectives: This article presents a systematic review of recent advancements in telemedicine architectures for continuous monitoring, providing a comprehensive overview of the evolving software engineering practices underpinning these systems. The review aims to illuminate the critical role of telemedicine in delivering healthcare services, especially during global health crises, and to emphasize the importance of effectiveness, security, interoperability, and scalability in these systems.Methods: A systematic review methodology was employed, adhering to the Preferred Reporting Items for Syste

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Fathima Shah, Wasim. "Bridging the Gap in Integrated Care: A Semantic Medical Data Management Framework Leveraging Linked Data and FHIR Standards." International Journal of Science and Research (IJSR) 12, no. 5 (2023): 1972–82. http://dx.doi.org/10.21275/sr23522054732.

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Osterman, Travis J., May Terry, and Robert S. Miller. "Improving Cancer Data Interoperability: The Promise of the Minimal Common Oncology Data Elements (mCODE) Initiative." JCO Clinical Cancer Informatics, no. 4 (October 2020): 993–1001. http://dx.doi.org/10.1200/cci.20.00059.

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PURPOSE Because of expanding interoperability requirements, structured patient data are increasingly available in electronic health records. Many oncology data elements (eg, staging, biomarkers, documentation of adverse events and cancer outcomes) remain challenging. The Minimal Common Oncology Data Elements (mCODE) project is a consensus data standard created to facilitate transmission of data of patients with cancer. METHODS In 2018, mCODE was developed through a work group convened by ASCO, including oncologists, informaticians, researchers, and experts in terminologies and standards. The m

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Hussein, Rada, Irina Balaur, Anja Burmann, et al. "Getting ready for the European Health Data Space (EHDS): IDERHA's plan to align with the latest EHDS requirements for the secondary use of health data." Open Research Europe 4 (July 30, 2024): 160. http://dx.doi.org/10.12688/openreseurope.18179.1.

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Objective The European Health Data Space (EHDS) shapes the digital transformation of healthcare in Europe. The EHDS regulation will also accelerate the use of health data for research, innovation, policy-making, and regulatory activities for secondary use of data (known as EHDS2). The Integration of heterogeneous Data and Evidence towards Regulatory and HTA Acceptance (IDERHA) project builds one of the first pan-European health data spaces in alignment with the EHDS2 requirements, addressing lung cancer as a pilot. Methods In this study, we conducted a comprehensive review of the EHDS regulati

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Solar, Mauricio, Victor Castañeda, Ricardo Ñanculef, Lioubov Dombrovskaia, and Mauricio Araya. "A Data Ingestion Procedure towards a Medical Images Repository." Sensors 24, no. 15 (2024): 4985. http://dx.doi.org/10.3390/s24154985.

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This article presents an ingestion procedure towards an interoperable repository called ALPACS (Anonymized Local Picture Archiving and Communication System). ALPACS provides services to clinical and hospital users, who can access the repository data through an Artificial Intelligence (AI) application called PROXIMITY. This article shows the automated procedure for data ingestion from the medical imaging provider to the ALPACS repository. The data ingestion procedure was successfully applied by the data provider (Hospital Clínico de la Universidad de Chile, HCUCH) using a pseudo-anonymization a

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Srinivasagopalan, Lakshmi Narasimhan. "Developing an Advanced appointment management system with FHIR API Integration, AI Automation and Enhanced data security." International Journal of Engineering & Science 13, no. 11 (2024): 49–54. http://dx.doi.org/10.9790/1813-13114954.

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The objective of this project is to develop and maintain appointment management software for healthcare providers with FHIR API, AI-based automation, robust data security, and such other features. This will enable health care workers to schedule appointments based on the availability of the providers while receiving demographic and insurance information in such a way that they are made secure according to applicable regulatory standards. During the integration of the FHIR API, data exchange in relation to the correct and upto-date patient records between the system and the outer healthcare pla

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