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

Data Reporting and Recording01:24

Data Reporting and Recording

5.7K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.7K
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

1.2K
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
1.2K
Next-generation Sequencing03:00

Next-generation Sequencing

101.7K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
101.7K
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

2.1K
The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
2.1K
Development of Analytical Methods01:21

Development of Analytical Methods

3.1K
An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
3.1K
Statgraphics01:10

Statgraphics

488
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
488

You might also read

Related Articles

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

Sort by
Same author

Strengthening Care for Children (SC4C), an Integrated Paediatrician-General Practitioner Model for Reducing Hospital Referral Rates: A Stepped-Wedge Cluster Randomised Controlled Trial.

The Medical journal of Australia·2025
Same author

Phenotyping people with a history of injecting drug use within electronic medical records using an interactive machine learning approach.

NPJ digital medicine·2024
Same author

Results of the first recorded evaluation of a national gestational diabetes mellitus register: Challenges in screening, registration, and follow-up for diabetes risk.

PloS one·2018
Same author

Primary care informatics and integrated care.

Studies in health technology and informatics·2010
Same author

Lessons from the NHS National Programme for IT.

The Medical journal of Australia·2007
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

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

Related Experiment Video

Updated: Apr 5, 2026

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

6.9K

Middleware Supporting Next Generation Data Analytics in Australia.

Douglas I R Boyle1

  • 1Health and Biomedical Informatics Centre, The University of Melbourne, Australia.

Studies in Health Technology and Informatics
|August 12, 2015
PubMed
Summary
This summary is machine-generated.

Accessing comprehensive patient health data in Australia was difficult due to privacy laws and fragmented care. GRHANITE™ technology now enables record-linkable primary care data access for research, overcoming these barriers.

More Related Videos

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.6K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K

Related Experiment Videos

Last Updated: Apr 5, 2026

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

6.9K
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.6K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K

Area of Science:

  • Health Informatics
  • Data Linkage
  • Primary Care Research

Background:

  • Fragmented healthcare delivery and strict privacy regulations in Australia hinder comprehensive patient journey data access.
  • Record-linkable primary care data has been a significant challenge for researchers.
  • The University of Melbourne has developed GRHANITE™ Middleware and Data Linkage technologies since 2006 to address these issues.

Purpose of the Study:

  • To describe the technical challenges and solutions for accessing and linking primary care data in Australia.
  • To present GRHANITE™ technology as a method for overcoming data access barriers in healthcare research.
  • To highlight the ethical considerations in providing research data through GRHANITE™.

Main Methods:

  • Development of GRHANITE™ Middleware and Data Linkage technologies.
  • Routine extraction of Australian primary care data using GRHANITE™.
  • Addressing technical and privacy barriers to enable record linkage.

Main Results:

  • GRHANITE™ technology has overcome principal technical challenges in accessing record-linkable primary care data.
  • Over 10% of Australian primary care data is now routinely extracted using this technology.
  • The technology is positioned at the forefront of ethical data provision for research.

Conclusions:

  • GRHANITE™ technology provides a viable solution for accessing comprehensive, record-linkable primary care data in Australia.
  • The developed methods address key technical and privacy concerns, facilitating healthcare research.
  • This approach represents an ethical advancement in utilizing health data for research purposes.