Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Impact of Schemas01:30

Impact of Schemas

Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Storage01:23

Storage

A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze each...
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Integrated Healthcare System01:20

Integrated Healthcare System

An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
Schemas01:42

Schemas

A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Process Mining on FHIR AuditEvents: Conformance Checking with a Standard Operating Procedure for Chest Pain.

Studies in health technology and informatics·2026
Same author

Leveraging Synthetic Patient Data for Process Mining in Healthcare.

Studies in health technology and informatics·2026
Same author

Dual Implementation Guides in FHIR and CDA.

Studies in health technology and informatics·2024
Same author

Generating Actionable Insights from Patient Medical Records and Structured Clinical Knowledge.

Studies in health technology and informatics·2024
Same author

U-Net based vessel segmentation for murine brains with small micro-magnetic resonance imaging reference datasets.

PloS one·2023
Same author

Multi-Perspective Process Mining Interfaces for HL7 AuditEvent Repositories: XES and OCEL.

Studies in health technology and informatics·2023
Same journal

The Essential Components and Critical Conditions for Success in a Learning Health System in Oncology.

Studies in health technology and informatics·2026
Same journal

Use of Artificial Intelligence in Screening for Adolescent Idiopathic Scoliosis: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Movement Related Biomechanics in Adolescent Idiopathic Scoliosis: A Review of Reviews.

Studies in health technology and informatics·2026
Same journal

The Impact of Surgical Correction of Adolescent Idiopathic Scoliosis Using Posterior Spinal Fusion on Selected Radiological Parameters and Respiratory Function.

Studies in health technology and informatics·2026
Same journal

Acute Effect of Physio-logic® Exercises on Muscle Tone and Stiffness in Adolescent Idiopathic Scoliosis Patients: A Preliminary Study.

Studies in health technology and informatics·2026
Same journal

Effects of Integrated Music and Occupational Therapy on Motor and Autonomic Function in Children with Neurogenic Scoliosis.

Studies in health technology and informatics·2026
See all related articles

Related Experiment Video

Updated: May 14, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Managing Incompatible FHIR Implementation Guides in a Single Backend: Namespace-Based Storage in Neo4j and

Oliver Krauss1, Andreas Pointner1, Christoph Praschl1

  • 1University of Applied Sciences Upper Austria, Campus Hagenberg, Softwarepark 11, 4232 Hagenberg, Austria.

Studies in Health Technology and Informatics
|May 12, 2026
PubMed
Summary
This summary is machine-generated.

Healthcare interoperability challenges arise from conflicting Health Level Seven Fast Healthcare Interoperability Resources (HL7 FHIR) Implementation Guides (IGs). A Germany case study reveals structural incompatibilities, necessitating a novel data management approach for seamless data exchange.

Keywords:
FHIRISiKImplementation GuideKBVNeo4jbasisprofile-degraph databasemulti-profilenamespaces

Related Experiment Videos

Last Updated: May 14, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Area of Science:

  • Health Informatics
  • Computer Science
  • Healthcare Systems Engineering

Background:

  • Achieving healthcare interoperability relies on Health Level Seven Fast Healthcare Interoperability Resources (HL7 FHIR) Implementation Guides (IGs).
  • Inconsistencies between international, national, and local IGs lead to inevitable incompatibilities, complicating data exchange.
  • Mandatory implementation of multiple, unaligned IGs, as seen in Germany, creates significant practical challenges for healthcare applications.

Purpose of the Study:

  • To systematically compare competing German HL7 FHIR Implementation Guides (KBV Base 1.x and ISiK Basismodul v2).
  • To identify and document hard structural conflicts between these IGs.
  • To propose a technical solution for managing data conforming to multiple, incompatible FHIR IGs.

Main Methods:

  • Systematic comparative analysis of KBV Base 1.x and ISiK Basismodul v2 FHIR Implementation Guides.
  • Identification of structural conflicts, including slicing and type constraints on key FHIR resources (Patient, Practitioner, RelatedPerson, Condition).
  • Development of a namespace-based data management solution using Neo4j to handle data redundancy and multi-format delivery.

Main Results:

  • Identified significant structural conflicts between the analyzed German FHIR IGs, such as closed vs. open slicing on Condition.onset[x] and disjoint constraints on address/name types.
  • Demonstrated that a single FHIR resource cannot simultaneously conform to all three mandatory German IGs.
  • Developed a Neo4j-based data management system capable of storing data without redundancy and serving it in multiple formats based on client profile requests.

Conclusions:

  • HL7 FHIR Implementation Guide incompatibilities pose a significant barrier to practical interoperability.
  • A namespace-based data management approach in Neo4j offers a viable technical solution for handling conflicting FHIR IG requirements.
  • Future work should focus on integrating FHIR profile comparison tools, performance evaluation, and alignment with emerging standards like HL7 Europe EHDS.