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

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...
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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,...

You might also read

Related Articles

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

Sort by
Same author

Charting the future of ACMI: a report from the 2025 ACMI symposium.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

Improving Data Segmentation Accuracy Through Clinician-Informed Contextual Reasoning.

Applied clinical informatics·2026
Same author

Advancing Health Equity Through Substance Use Medical Record Data Sharing: Insights from Healthcare Providers.

International journal of environmental research and public health·2025
Same author

Balancing Privacy, Trust, and Equity: Patient Perspectives on Substance Use Disorder Data Sharing.

International journal of environmental research and public health·2025
Same author

FHIR Granular Sensitive Data Segmentation.

Applied clinical informatics·2025
Same author

Ingredient-based method to create medication lists and support granular data segmentation.

Health informatics journal·2025
Same journal

Optimizing Clinical Decision Support for Antibiotic Prescribing in Pediatric Acute Respiratory Tract Infections: A Usability Study.

Applied clinical informatics·2026
Same journal

Disparities in Activation and Use of Patient Portals Among Spanish-Speaking Patients.

Applied clinical informatics·2026
Same journal

Real-World Utilization of a Hospital-Integrated Internet Hospital in Henan Province, China: A 1-Year Observational Study.

Applied clinical informatics·2026
Same journal

From Pandemic Response to Kill the Clipboard: Patient-Controlled Sharing of Health Data Using International Patient Summary (IPS) and QR codes.

Applied clinical informatics·2026
Same journal

Usage of and Satisfaction with Artificial Intelligence-Generated Draft Replies to Patient Portal Messages.

Applied clinical informatics·2026
Same journal

Automating Ambulatory Central Line Data Capture and Calculations.

Applied clinical informatics·2026
See all related articles

Related Experiment Video

Updated: Jun 14, 2026

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Assessing the Effectiveness and Scalability of Fast Healthcare Interoperability Resource-Based Granular Data

Preston Lee1, Abhishek Singh Dhadwal1, Martha Kaiser1

  • 1Arizona State University, Tempe, Arizona, United States.

Applied Clinical Informatics
|June 12, 2026
PubMed
Summary
This summary is machine-generated.

Automated data segmentation for sensitive substance use information is feasible and scalable using the SHARES platform. This technology ensures patient privacy and compliance with regulations like 42 CFR Part 2.

More Related Videos

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Related Experiment Videos

Last Updated: Jun 14, 2026

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Area of Science:

  • Health Informatics
  • Data Security
  • Clinical Data Management

Background:

  • Protecting sensitive health information, especially substance use data, is crucial for patient trust and legal compliance (42 CFR Part 2).
  • Manual data segmentation is inefficient and prone to errors, necessitating automated solutions.
  • Patient-centered technologies are needed for granular control over sensitive health data sharing.

Purpose of the Study:

  • To assess the technical effectiveness, scalability, and performance of SHARES, an open-source platform for segmenting sensitive substance use data.
  • To evaluate SHARES' ability to support patient-directed, granular control over health information sharing.
  • To validate the platform's compliance with federal confidentiality laws.

Main Methods:

  • Generated 11,519 synthetic FHIR patient records using Synthea.
  • Physicians classified 1,848 clinical terms to establish code-category-confidence rules for the SHARES engine.
  • Deployed SHARES in simulations to segment substance use data across 11 confidentiality thresholds, benchmarking performance and accuracy.

Main Results:

  • Physicians identified 232 data items related to substance use.
  • The SHARES engine processed 197.6 million FHIR resources, flagging 17 million (8.64%) as sensitive.
  • SHARES demonstrated high throughput (10.36 patient bundles/sec) and low cost (under one cent per patient).

Conclusions:

  • Automated, rule-based data segmentation is feasible and scalable within a FHIR-native architecture.
  • SHARES provides high-throughput, low-cost performance, supporting auditability for 42 CFR Part 2 compliance.
  • Future work includes integrating Clinical Quality Language (CQL) for enhanced clinical reasoning.