Journal ArticleDOI
Patients Decision Aid System Based on FHIR Profiles
Ilia Semenov,Georgy Kopanitsa,Dmitry Denisov,Yakovenko Alexandr,Roman Osenev,Yury Andreychuk +5 more
TLDR
A patient decision aid system based on the productions rules, which automatically analyses and interprets laboratory test results, recommends running additional tests for a more precise diagnostic and delivers automatically generated reports to doctors and patients in a natural language is implemented.Abstract:
Patients are becoming more and more involved in clinical decision-making process. Several factors support this process. Advances in omics allows individualization of diagnosis and treatment. Patient awareness and easy availability of data on the Internet allows patients to become informed decision makers when it comes even to disease management. Mass media emphasize the issue of medical errors, making patients demanding for quality in medical care. In some healthcare settings, patents face a problem of interpreting medical data and making decisions on treatment tactics without having a doctor, who could potentially support them. Delegating this task to a Patient Decision Aide system can add automatically generated recommendations to result reports without adding significant workload on the doctors, increase patients’ motivation and support their decisions. We have implemented a patient decision aid system based on the productions rules, which: Collects data from available sources; Automatically analyses and interprets laboratory test results; Recommends running additional tests for a more precise diagnostic; Delivers automatically generated reports to doctors and patients in a natural language. To achieve semantic interoperability with other systems we have implemented a FHIR engine. The knowledge base has been organized as a graph structure. The application is structured as a set of lightly coupled services, which implement the logic of the decision support system. In total, we have modelled 365 nodes of test components, 5084 nodes of inference rules, 49932 connections and 3072 blocks of text for medical certificates. The findings of the research provide a deep understanding of how the semantically interoperable clinical decision support systems are implemented. Advances in notification the patients with the elements of patient decision aid is important for clinical data management, and for patients’ empowerment and protection. We suppose that the system empowering patients in such way can play a meaningful role in helping patients to make informed decisions during the process of diagnostics and treatment.read more
Citations
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Journal ArticleDOI
IoT in Healthcare: Achieving Interoperability of High-Quality Data Acquired by IoT Medical Devices
Argyro Mavrogiorgou,Athanasios Kiourtis,Konstantinos Perakis,Stamatios Pitsios,Dimosthenis Kyriazis +4 more
TL;DR: The proposed mechanism is evaluated through a specific scenario, producing reliable results, achieving data interoperability of 100% accuracy, and data quality of more than 90% accuracy.
Journal ArticleDOI
Structurally Mapping Healthcare Data to HL7 FHIR through Ontology Alignment
Athanasios Kiourtis,Argyro Mavrogiorgou,Andreas Menychtas,Ilias Maglogiannis,Dimosthenis Kyriazis +4 more
TL;DR: This manuscript focuses on a data transformation mechanism that can take full advantage of a data intensive environment without losing the realistic complexity of health, confronting the challenges of heterogeneous data.
Journal ArticleDOI
Experience in Developing an FHIR Medical Data Management Platform to Provide Clinical Decision Support.
TL;DR: A fast healthcare interoperability resources (FHIR)-based C DSS platform addresses the ease of access to clinical decision support services by providing standard-based interfaces and workflows and may be able to improve the quality of care for doctors who are using HIS without CDSS features.
Journal ArticleDOI
New Standards for Clinical Decision Support: A Survey of The State of Implementation.
TL;DR: A review of 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 is presented in this paper.
Journal ArticleDOI
Integrating Option Grid Patient Decision Aids in the Epic Electronic Health Record: Case Study at 5 Health Systems
Peter Scalia,Farhan Ahmad,Danielle Schubbe,Rachel C Forcino,Marie-Anne Durand,Paul Barr,Glyn Elwyn +6 more
TL;DR: In this paper, the authors examined the work involved in integrating an encounter PDA for symptomatic uterine fibroids into Epic EHR systems and examined facilitators and barriers to the integration effort.
References
More filters
Journal ArticleDOI
Operational implementation of prospective genotyping for personalized medicine: The design of the Vanderbilt PREDICT project
Jill M. Pulley,Joshua C. Denny,Josh F. Peterson,Gordon R. Bernard,Cindy L. Vnencak-Jones,Andrea H. Ramirez,Jessica T. Delaney,Erica Bowton,Kevin B. Johnson,Dana C. Crawford,Jonathan S. Schildcrout,Daniel R. Masys,Holli H. Dilks,Russell A. Wilke,Ellen Wright Clayton,E. Shultz,Michael Laposata,John A. McPherson,Jim Jirjis,Dan M. Roden +19 more
TL;DR: The operational implementation of prospective genotyping linked to an advanced clinical decision‐support system to guide individualized health care in a large academic health center is described.
Journal ArticleDOI
Failure to follow-up test results for ambulatory patients: a systematic review
TL;DR: Evidence quantifying the extent of failure to follow-up test results and the impact for ambulatory patients is systematically reviewed to establish an important safety concern which requires urgent attention.
Journal ArticleDOI
An ontology-based personalization of health-care knowledge to support clinical decisions for chronically ill patients
David Riaño,Francis Real,Joan Albert López-Vallverdú,Fabio Campana,Sara Ercolani,Patrizia Mecocci,Roberta Annicchiarico,Carlo Caltagirone +7 more
TL;DR: An ontology for the care of chronically ill patients is introduced and two personalization processes and a decision support tool are implemented that help health-care professionals to detect anomalous circumstances such as wrong diagnoses, unobserved comorbidities, missing information, unob served related diseases, or preventive actions.
Journal ArticleDOI
Knowledge acquisition in the fuzzy knowledge representation framework of a medical consultation system
TL;DR: This paper describes the fuzzy knowledge representation framework of the medical computer consultation system MedFrame/CADIAG-IV as well as the specific knowledge acquisition techniques that have been developed to support the definition of knowledge concepts and inference rules.
Journal ArticleDOI
Interoperability of clinical decision-support systems and electronic health records using archetypes
TL;DR: A comprehensive approach is introduced, including a set of tools as well as methodological guidelines, to deal with the interoperability of CDSSs and EHRs based on archetypes, which is used to build a conceptual layer of the kind of a virtual health record over the EHR whose contents need to be integrated and used in the C DSS.