Towards a Conceptual Framework for Persistent Use: A Technical Plan to Achieve Semantic Interoperability within Electronic Health Record Systems

Semantic interoperability within the health care sector requires that patient data be fully available and shared without ambiguity across participating health facilities. Ongoing discussions to achieve interoperability within the health care industry continue to emphasize the need for healthcare facilities to successfully adopt and implement Electronic Health Record (EHR) systems. Reluctance by the healthcare industry to implement these EHRs for the purpose of achieving interoperability has led to the current research problem where it was determined that there is no existing single data standardization structure that can effectively share and interpret patient data within heterogeneous systems. The current research used the design science research methodology (DSRM) to design and develop a master data standardization and translation (MDST) model which incorporated the Resource Description Framework (RDF) that allowed seamless exchange of healthcare data among multiple facilities. Using RDF, a universal exchange language, allowed for multiple data models and vocabularies to be easily combined and interrelated within a single environment thereby reducing data definition ambiguity.

[1]  Chia-Chien Hsu,et al.  The Delphi Technique: Making Sense of Consensus , 2007 .

[2]  Hyeon-Eui Kim,et al.  Identifying Appropriate Reference Data Models for Comparative Effectiveness Research (CER) Studies Based on Data from Clinical Information Systems , 2013, Medical care.

[3]  Jesualdo Tomás Fernández-Breis,et al.  OWL-based reasoning methods for validating archetypes , 2013, J. Biomed. Informatics.

[4]  Bernd Blobel,et al.  Conceptual Model Formalization in a Semantic Interoperability Service Framework: Transforming Relational Database Schemas to OWL. , 2014, Studies in health technology and informatics.

[5]  Mindy E. Flanagan,et al.  The next-generation electronic health record: perspectives of key leaders from the US Department of Veterans Affairs. , 2013, Journal of the American Medical Informatics Association : JAMIA.

[6]  Samir Chatterjee,et al.  A Design Science Research Methodology for Information Systems Research , 2008 .

[7]  Antonio Peñalver Benavent,et al.  How to classify to experts in usability evaluation , 2014, Interacción '14.

[8]  Ashish Verma,et al.  Development of a Hub and Spoke Model for Bus Transit Route Network Design , 2013 .

[9]  Arantxa Otegi,et al.  Improving search over Electronic Health Records using UMLS-based query expansion through random walks , 2014, J. Biomed. Informatics.

[10]  Catalina Martínez-Costa,et al.  Clinical data interoperability based on archetype transformation , 2011, J. Biomed. Informatics.

[11]  Hyeoun-Ae Park,et al.  Development of Health Information Search Engine Based on Metadata and Ontology , 2014, Healthcare informatics research.

[12]  Meghan Hufstader Gabriel,et al.  Progress and challenges: implementation and use of health information technology among critical-access hospitals. , 2014, Health affairs.

[13]  Leonardo Oliveira,et al.  EHR Implementation in a New Clinic: A Case Study of Clinician Perceptions , 2012, Journal of Medical Systems.

[14]  Amar Gupta,et al.  Interoperable Electronic Health Care Record: A Case for Adoption of a National Standard to Stem the Ongoing Health Care Crisis , 2013, The Journal of legal medicine.

[15]  Jean-Yves Vion-Dury Using RDFS/OWL to ease semantic integration of structured documents , 2013, ACM Symposium on Document Engineering.

[16]  Hatem Bellaaj,et al.  Interoperability for medical information systems: an overview , 2014 .

[17]  George Hripcsak,et al.  An Integrated Model for Patient Care and Clinical Trials (IMPACT) to support clinical research visit scheduling workflow for future learning health systems , 2013, J. Biomed. Informatics.

[18]  Carol Stoak Saunders,et al.  Information Processing View of Organizations: An Exploratory Examination of Fit in the Context of Interorganizational Relationships , 2005, J. Manag. Inf. Syst..

[19]  Wajahat Ali Khan,et al.  Personalized-detailed clinical model for data interoperability among clinical standards. , 2013, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[20]  James J Cimino,et al.  Collect once, use many. Enabling the reuse of clinical data through controlled terminologies. , 2007, Journal of AHIMA.

[21]  P HufnagelStephen National Electronic Health Record Interoperability Chronology , 2014 .

[22]  Eizen Kimura,et al.  Archetype Model-Driven Development Framework for EHR Web System , 2013, Healthcare informatics research.

[23]  Martin Bichler,et al.  Design science in information systems research , 2006, Wirtschaftsinf..

[24]  Jesualdo Tomás Fernández-Breis,et al.  Leveraging electronic healthcare record standards and semantic web technologies for the identification of patient cohorts. , 2013, Journal of the American Medical Informatics Association : JAMIA.

[25]  David J. Weiss,et al.  Performance-based assessment of expertise: How to decide if someone is an expert or not , 2002, Eur. J. Oper. Res..

[26]  Ali Anil Sinaci,et al.  A federated semantic metadata registry framework for enabling interoperability across clinical research and care domains , 2013, J. Biomed. Informatics.

[27]  V Maojo,et al.  Toward a View-oriented Approach for Aligning RDF-based Biomedical Repositories , 2014, Methods of Information in Medicine.

[28]  Jenny Ziviani,et al.  Identification of occupational therapy clinical expertise: decision-making characteristics. , 2009, Australian occupational therapy journal.

[29]  Kenneth D. Mandl,et al.  Are Meaningful Use Stage 2 certified EHRs ready for interoperability? Findings from the SMART C-CDA Collaborative , 2014, J. Am. Medical Informatics Assoc..

[30]  Bin Chen,et al.  The ChEMBL database as linked open data , 2013, Journal of Cheminformatics.

[31]  Hans-Ulrich Prokosch,et al.  IT Infrastructure Components to Support Clinical Care and Translational Research Projects in a Comprehensive Cancer Center , 2011, MIE.

[32]  M. Naylor,et al.  Conducting Research Using the Electronic Health Record Across Multi–Hospital Systems: Semantic Harmonization Implications for Administrators , 2013, The Journal of nursing administration.

[33]  Chris D. Nugent,et al.  An Adaptive Semantic based Mediation System for Data Interoperability among Health Information Systems , 2014, Journal of Medical Systems.

[34]  Christopher G Chute,et al.  LexRDF Model: An RDF-based Unified Model for Heterogeneous Biomedical Ontologies. , 2009, CEUR workshop proceedings.

[35]  N.F.M. Roozenburg,et al.  A methodological comparison of the structures of scientific research and engineering design: their similarities and differences , 1991 .

[36]  Dipak Kalra,et al.  Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs , 2013, Healthcare informatics research.

[37]  Jane Hunter,et al.  Documenting and sharing comparative analyses of 3D digital museum artifacts through semantic web annotations , 2013, JOCCH.

[38]  Arshdeep Bahga,et al.  A Cloud-based Approach for Interoperable Electronic Health Records (EHRs) , 2013, IEEE Journal of Biomedical and Health Informatics.

[39]  Elske Ammenwerth,et al.  The EHR-ARCHE project: Satisfying clinical information needs in a Shared Electronic Health Record System based on IHE XDS and Archetypes☆ , 2013, Int. J. Medical Informatics.

[40]  Jaime Teevan,et al.  "For Telling" the Present: Using the Delphi Method to Understand Personal Information Management Practices , 2015, CHI.

[41]  William T. F. Goossen,et al.  Detailed Clinical Models: Representing Knowledge, Data and Semantics in Healthcare Information Technology , 2014, Healthcare informatics research.

[42]  José Luis Rojo-Álvarez,et al.  Ontology for Heart Rate Turbulence Domain From The Conceptual Model of SNOMED-CT , 2013, IEEE Transactions on Biomedical Engineering.

[43]  Dustin Charles,et al.  Hospital electronic health information exchange grew substantially in 2008-12. , 2013, Health affairs.

[44]  Unnati S. Shah An Excursion to Software Development Life Cycle Models , 2016, ACM SIGSOFT Softw. Eng. Notes.

[45]  Daniel J. Vreeman,et al.  The long road to semantic interoperability in support of public health: Experiences from two states , 2014, J. Biomed. Informatics.

[46]  Asuman Dogac,et al.  Providing Semantic Interoperability Between Clinical Care and Clinical Research Domains , 2013, IEEE Journal of Biomedical and Health Informatics.

[47]  Hans-Ulrich Prokosch,et al.  A Reference Architecture for Semantic Interoperability and Its Practical Application , 2014, eHealth.