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

5.5K
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...
5.5K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

768
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
768
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

546
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
546
Purpose of Health Records I01:11

Purpose of Health Records I

1.1K
The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
1.1K

You might also read

Related Articles

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

Sort by
Same author

Population-scale Y chromosome assemblies reveal recurrent remodeling within constrained architectures.

bioRxiv : the preprint server for biology·2026
Same author

Grant Funding Program Supports Increasing School Meals.

Journal of nutrition education and behavior·2026
Same author

Disinfection of hospital sink drains enriches pseudomonadota and efflux pump-mediated antibiotic resistance in reestablished biofilms.

Nature communications·2026
Same author

Wearable-Echo-FM: an ECG echo foundation model for 1-lead electrocardiography.

European heart journal. Digital health·2026
Same author

Spatially decoding genotype-associated epigenetic landscapes in human lymphoma FFPE tissues via epi-Patho-DBiT.

Nature communications·2026
Same author

Paradoxical Embolization in Untreated Recurrent Pulmonary Arteriovenous Malformations: Incidence and Risk Factors.

Journal of vascular and interventional radiology : JVIR·2026
Same journal

Causal intervention validation of gene regulatory signals in scGPT.

Journal of biomedical informatics·2026
Same journal

CoAff-DTI: Fine-grained drug-target interaction prediction using pre-trained language models and affinity-guided mechanisms.

Journal of biomedical informatics·2026
Same journal

Evaluation of temporal preservation in synthetic longitudinal patient data.

Journal of biomedical informatics·2026
Same journal

ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.

Journal of biomedical informatics·2026
Same journal

A validation-driven training controller for cross-lingual biomedical NER via reinforcement learning-based adaptive loss weighting.

Journal of biomedical informatics·2026
Same journal

ASP-HR: An Adaptive Spatial Perception and Hierarchical Reasoning mechanism for document-level biomedical relation extraction.

Journal of biomedical informatics·2026
See all related articles

Related Experiment Video

Updated: May 16, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.2K

Scalable and efficient on-chain data management in blockchain for large biomedical data.

Eric Ni1, Elizabeth Knight2, Mark Gerstein3

  • 1Program in Computational Biology and Bioinformatics, Yale University, 100 College Street, New Haven, 06511, CT, USA.

Journal of Biomedical Informatics
|March 31, 2025
PubMed
Summary
This summary is machine-generated.

This study presents an efficient blockchain solution for managing large biomedical datasets on-chain. The novel index-based approach significantly improves data storage and retrieval speeds, enhancing scalability for health data management.

Keywords:
BlockchainDatabaseScalability

More Related Videos

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

4.0K
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

9.2K

Related Experiment Videos

Last Updated: May 16, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.2K
Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

4.0K
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

9.2K

Area of Science:

  • Biomedical Informatics
  • Blockchain Technology
  • Data Management

Background:

  • Blockchain offers improved trust and security for health data management.
  • Scalability issues with large biomedical datasets hinder blockchain adoption for on-chain storage.
  • Existing methods struggle with efficient on-chain storage of extensive biomedical data.

Purpose of the Study:

  • To demonstrate blockchain's potential for secure, trustless management of large on-chain biomedical records.
  • To develop an efficient, scalable solution for storing and retrieving extensive data directly on the blockchain.
  • To overcome the limitations of current blockchain implementations in handling large datasets.

Main Methods:

  • Developed an efficient, index-based approach for data storage on the Ethereum blockchain.
  • Utilized low-level assembly optimizations on the Ethereum Virtual Machine (EVM).
  • Implemented a smart contract for storing and querying training certificates as a case study.

Main Results:

  • Achieved nearly constant insertion and retrieval speeds, scaling linearly with data volume.
  • Demonstrated substantial efficiency gains via EVM assembly optimizations over Solidity compiler.
  • The solution showed 2x faster data insertion, 500x faster retrieval, 60% lower gas costs, and 50% lower storage usage.
  • The approach won first place in the 2022 iDASH secure genome analysis competition.

Conclusions:

  • The proposed index-based blockchain approach enables efficient and scalable on-chain management of large biomedical datasets.
  • Low-level EVM optimizations are crucial for overcoming blockchain scalability limitations.
  • This adaptable solution can be applied to various data types, including text, RNA-seq, and biomedical images.