An HL7 FHIR and GraphQL approach for interoperability between heterogeneous Electronic Health Record systems

2021 ◽  
Vol 27 (3) ◽  
pp. 146045822110439
Author(s):  
Suresh Kumar Mukhiya ◽  
Yngve Lamo

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 solution to this, we offer an architecture that utilizes a resource server based on GraphQL and HL7 FHIR that establishes communication between two heterogeneous EHRs. This paper describes how the proposed architecture is implemented to achieve interoperability between two heterogeneous EHRs, HL7 FHIR and OpenMRS. The presented approach establishes secure communication between the EHRs and provides accurate mappings that enable timely health information exchange between EHRs.

2016 ◽  
pp. 1001-1016
Author(s):  
Robert P Schumaker ◽  
Kavya P. Reganti

The purpose of this research is to demonstrate the efficiency of the Electronic Health Record (EHR) software that is adopted in the healthcare industry to provide better patient care. The authors examine the impact of EHRs on the efficient delivery of healthcare services. More specifically, they detail the origin of EHR, its significance in modern healthcare delivery along with the selection and implementation criteria for EHR software. They present a survey on the extent of adoption of EHR by clinicians. They also highlight the challenges and barriers faced by organizations in adopting EHR software such as cost, workflow impact and data security. Finally, the authors contemplate the future of EHR, its role in the implementation of health information exchange and its implementation in the cloud. They conclude that the implementation of EHR in the cloud is an important step towards better health management across the population with the end-goal of better health outcomes.


2020 ◽  
Vol 3 ◽  
Author(s):  
Brandon Gregory ◽  
Jordan Hill ◽  
Titus Schleyer

Background and Hypothesis:  In the US today, over 95% of healthcare institutions operate using the electronic health record (EHR). While proven to be a substantial improvement to medical practice, the substantial amount of retained information within those records has made searching the EHR for relevant material difficult and too time consuming. We hypothesize that by providing a search function within the EHR with added capability of collaborative filtration, physicians will be better able to retrieve important patient information and thus provide more efficient care.     Project Methods:   Emergency Department physicians of Sidney & Lois Eskenazi Hospital and Indiana University Health Hospital were recruited to partake in this study based on their use and familiarity of the EHR Cerner and/or Health Information Exchange (HIE) CareWeb Search function. Participants filled out a pre-interview, Likert-scale questionnaire to determine their general impressions of search functions and the frequency with which they were used. Additional insight was obtained during an interview focusing on participants’ previous experiences searching within the EHR/HIE. Participants were then shown a mock-up of potential collaborative filtering integration into CareWeb in order to collect opinions regarding the feature’s usability/practicality, display/format, and a number of suggested terms.    Results:   From the pilot study, current challenges that limit clinician search function use include limited time in clinician workflow, information overload, and inaccurate results. Clinicians are more likely to conduct searches when treating patients who have limited medical history, complex histories, known recent visitations, and/or who have been seen at other institutions. Participants demonstrated interest in a collaborative filtration search feature; they expressed a preference to have the feature recommend five related search terms.    Potential Impact:   The data from this study aims to refine the way healthcare providers search within the EHR/HIE. This will allow healthcare providers to more efficiently extract relevant patient information for improved healthcare delivery and proficient clinician workflow. 


Author(s):  
Robert P Schumaker ◽  
Kavya P. Reganti

The purpose of this research is to demonstrate the efficiency of the Electronic Health Record (EHR) software that is adopted in the healthcare industry to provide better patient care. The authors examine the impact of EHRs on the efficient delivery of healthcare services. More specifically, they detail the origin of EHR, its significance in modern healthcare delivery along with the selection and implementation criteria for EHR software. They present a survey on the extent of adoption of EHR by clinicians. They also highlight the challenges and barriers faced by organizations in adopting EHR software such as cost, workflow impact and data security. Finally, the authors contemplate the future of EHR, its role in the implementation of health information exchange and its implementation in the cloud. They conclude that the implementation of EHR in the cloud is an important step towards better health management across the population with the end-goal of better health outcomes.


2019 ◽  
Vol 26 (10) ◽  
pp. 989-998
Author(s):  
Joshua R Vest ◽  
Mark Aaron Unruh ◽  
Seth Freedman ◽  
Kosali Simon

Abstract Objective Enterprise health information exchange (HIE) and a single electronic health record (EHR) vendor solution are 2 information exchange approaches to improve performance and increase the quality of care. This study sought to determine the association between adoption of enterprise HIE vs a single vendor environment and changes in unplanned readmissions. Materials and Methods The association between unplanned 30-day readmissions among adult patients and adoption of enterprise HIE or a single vendor environment was measured in a panel of 211 system-member hospitals from 2010 through 2014 using fixed-effects regression models. Sample hospitals were members of health systems in 7 states. Enterprise HIE was defined as self-reported ability to exchange information with other members of the same health system who used different EHR vendors. A single EHR vendor environment reported exchanging information with other health system members, but all using the same EHR vendor. Results Enterprise HIE adoption was more common among the study sample than EHR (75% vs 24%). However, adoption of a single EHR vendor environment was associated with a 0.8% reduction in the probability of a readmission within 30 days of discharge. The estimated impact of adopting an enterprise HIE strategy on readmissions was smaller and not statically significant. Conclusion Reductions in the probability of an unplanned readmission after a hospital adopts a single vendor environment suggests that HIE technologies can better support the aim of higher quality care. Additionally, health systems may benefit more from a single vendor environment approach than attempting to foster exchange across multiple EHR vendors.


ACI Open ◽  
2021 ◽  
Vol 05 (01) ◽  
pp. e36-e46
Author(s):  
Yasir Tarabichi ◽  
Adam Frees ◽  
Steven Honeywell ◽  
Courtney Huang ◽  
Andrew M. Naidech ◽  
...  

Abstract Objective Learning healthcare systems use routinely collected data to generate new evidence that informs future practice. While implementing an electronic health record (EHR) system can facilitate this goal for individual institutions, meaningfully aggregating data from multiple institutions can be more empowering. Cosmos is a cross-institution, single EHR vendor-facilitated data aggregation tool. This work aims to describe the initiative and illustrate its potential utility through several use cases. Methods Cosmos is designed to scale rapidly by leveraging preexisting agreements, clinical health information exchange networks, and data standards. Data are stored centrally as a limited dataset, but the customer facing query tool limits results to prevent patient reidentification. Results In 2 years, Cosmos grew to contain EHR data of more than 60 million patients. We present practical examples illustrating how Cosmos could further efforts in chronic disease surveillance (asthma and obesity), syndromic surveillance (seasonal influenza and the 2019 novel coronavirus), immunization adherence and adverse event reporting (human papilloma virus and measles, mumps, rubella, and varicella vaccination), and health services research (antibiotic usage for upper respiratory infection). Discussion A low barrier of entry for Cosmos allows for the rapid accumulation of multi-institutional and mostly de-duplicated EHR data to power research and quality improvement queries characteristic of learning healthcare systems. Limitations are being vendor-specific, an “all or none” contribution model, and the lack of control over queries run on an institution's healthcare data. Conclusion Cosmos provides a model for within-vendor data standardization and aggregation and a steppingstone for broader intervendor interoperability.


2011 ◽  
Vol 18 (6) ◽  
pp. 1156-1162 ◽  
Author(s):  
Erika L. Abramson ◽  
Sandra McGinnis ◽  
Alison Edwards ◽  
Dayna M. Maniccia ◽  
Jean Moore ◽  
...  

2021 ◽  
pp. 1-14
Author(s):  
Derlis Gómez ◽  
Jesús Romero ◽  
Pablo López ◽  
José Vázquez ◽  
Cristian Cappo ◽  
...  

BACKGROUND: Current Electronic Health Record (EHR) systems are built using different data representation and information models, which makes difficult achieving information exchange. OBJECTIVE: Our aim was to propose a scalable architecture that allows the integration of information from different EHR systems. METHODS: A cloud-based EHR interoperable architecture is proposed through the standardization and integration of patient electronic health records. The data is stored in a cloud repository with high availability features. Stakeholders can retrieve the patient EHR by requesting only to the integrated data repository. The OpenEHR two-level approach is applied according to the HL7-FHIR standards. We validated our architecture by comparing it with 5 different works (CHISTAR, ARIEN, DIRAYA, LLPHR and INEHRIS) using a set of selected axes and a scoring method. RESULTS: The problem was reduced to a single point of communication between each EHR system and the integrated data repository. By combining cloud computing paradigm with selected health informatics standards, we obtained a generic and scalable architecture that complies 100% with interoperability requisites according to the evaluation framework applied. CONCLUSIONS: The architecture allowed the integration of several EHR systems, adapting them with the use of standards and ensuring the availability thanks to cloud computing features.


Author(s):  
Alberto De la Rosa Algarín ◽  
Steven A. Demurjian ◽  
Timoteus B. Ziminski ◽  
Yaira K. Rivera Sánchez ◽  
Robert Kuykendall

Today’s applications are often constructed by bringing together functionality from multiple systems that utilize varied technologies (e.g. application programming interfaces, Web services, cloud computing, data mining) and alternative standards (e.g. XML, RDF, OWL, JSON, etc.) for communication. Most such applications achieve interoperability via the eXtensible Markup Language (XML), the de facto document standard for information exchange in domains such as library repositories, collaborative software development, health informatics, etc. The use of a common data format facilitates exchange and interoperability across heterogeneous systems, but challenges in the aspect of security arise (e.g. sharing policies, ownership, permissions, etc.). In such situations, one key security challenge is to integrate the local security (existing systems) into a global solution for the application being constructed and deployed. In this chapter, the authors present a Role-Based Access Control (RBAC) security framework for XML, which utilizes extensions to the Unified Modeling Language (UML) to generate eXtensible Access Control Markup Language (XACML) policies that target XML schemas and instances for any application, and provides both the separation and reconciliation of local and global security policies across systems. To demonstrate the framework, they provide a case study in health care, using the XML standards Health Level Seven’s (HL7) Clinical Document Architecture (CDA) and the Continuity of Care Record (CCR). These standards are utilized for the transportation of private and identifiable information between stakeholders (e.g. a hospital with an electronic health record, a clinic’s electronic health record, a pharmacy system, etc.), requiring not only a high level of security but also compliance to legal entities. For this reason, it is not only necessary to secure private information, but for its application to be flexible enough so that updating security policies that affect millions of documents does not incur a large monetary or computational cost; such privacy could similarly involve large banks and credit card companies that have similar information to protect to deter identity theft. The authors demonstrate the security framework with two in-house developed applications: a mobile medication management application and a medication reconciliation application. They also detail future trends that present even more challenges in providing security at global and local levels for platforms such as Microsoft HealthVault, Harvard SMART, Open mHealth, and open electronic health record systems. These platforms utilize XML, equivalent information exchange document standards (e.g., JSON), or semantically augmented structures (e.g., RDF and OWL). Even though the primary use of these platforms is in healthcare, they present a clear picture of how diverse the information exchange process can be. As a result, they represent challenges that are domain independent, thus becoming concrete examples of future trends and issues that require a robust approach towards security.


Author(s):  
Gerald Beuchelt ◽  
Harry Sleeper ◽  
Andrew Gregorowicz ◽  
Robert Dingwell

Health data interoperability issues limit the expected benefits of Electronic Health Record (EHR) systems. Ideally, the medical history of a patient is recorded in a set of digital continuity of care documents which are securely available to the patient and their care providers on demand. The history of electronic health data standards includes multiple standards organizations, differing goals, and ongoing efforts to reconcile the various specifications. Existing standards define a format that is too complex for exchanging health data effectively. We propose hData, a simple XML-based framework to describe health information. hData addresses the complexities of the current HL7 Clinical Document Architecture (CDA). hData is an XML design that can be completely validated by modern XML editors and is explicitly designed for extensibility to address future health information exchange needs. hData applies established best practices for XML document architectures to the health domain, thereby facilitating interoperability, increasing software developer productivity, and thus reducing the cost for creating and maintaining EHR technologies.


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