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

5.4K
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...
5.4K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

37.0K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
37.0K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

43.0K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
43.0K
Data Collection I01:30

Data Collection I

7.9K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
7.9K
Data Validation01:03

Data Validation

6.4K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
6.4K
Data Validation01:15

Data Validation

628
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
628

You might also read

Related Articles

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

Sort by
Same author

Assessments of Process Parameters on Cutting Force and Surface Roughness during Drilling of AA7075/TiB2 In Situ Composite.

Materials (Basel, Switzerland)·2021
Same author

A Novel Technique for Multi Biometric Cryptosystem Using Fuzzy Vault.

Journal of medical systems·2019
Same author

Low power adder based digital filter for QRS detector.

TheScientificWorldJournal·2014
Same author

catena-Poly[[bis-(μ(2)-1,4,7,10,13,16-hexa-oxacyclo-octa-deca-ne)dipotassium]-μ(2)-iodido-(iodidocadmium)-di-μ(2)-iodido-(iodidocadmium)-μ(2)-iodido].

Acta crystallographica. Section E, Structure reports online·2013
Same author

Chronic berylliosis of the lung: report of a case.

The Indian journal of chest diseases & allied sciences·1996
Same journal

Starmate: A Lightweight AI Assistant for Autism Caregivers Developed and Evaluated Through a User-Centered Mixed-Methods Framework.

Journal of medical systems·2026
Same journal

Predicting the Predictor: Unresolved Validity Threats in LLM-Based ASA Classification.

Journal of medical systems·2026
Same journal

Development and Internal Validation of a Vectorcardiography-Augmented Model for 12-Month Major Adverse Cardiovascular Events in Chronic Heart Failure.

Journal of medical systems·2026
Same journal

Development and Validation of an Automated Acute Kidney Injury E-Alert System Integrated with Clinical Decision Support for Hospitalized Patients.

Journal of medical systems·2026
Same journal

Calibration of Self-Reported Confidence and Accuracy of Large Language Models in Medical Question Answering.

Journal of medical systems·2026
Same journal

Throughput Benchmarking and Throughput Variance Analysis to Evaluate the Efficiency of an Outpatient Endoscopy Unit.

Journal of medical systems·2026
See all related articles

Related Experiment Video

Updated: Jan 22, 2026

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

486

Data Access Control and Secured Data Sharing Approach for Health Care Data in Cloud Environment.

A Pugazhenthi1, D Chitra2

  • 1Department of Computer Science and Engineering, P. A. College of Engineering and Technology, Pollachi, India. pugal268@gmail.com.

Journal of Medical Systems
|July 3, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an Improved Diffie Hellman Key Exchange Algorithm (IDHKE) to enhance cloud data security. The new method securely shares secret keys, improving data protection and validation for cloud environments.

Keywords:
Access controlAccess policy limitationCloud securityEncryptionSecured key sharing

More Related Videos

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

12.7K
Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

1.1K

Related Experiment Videos

Last Updated: Jan 22, 2026

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

486
Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

12.7K
Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

1.1K

Area of Science:

  • Computer Science
  • Information Security
  • Cryptography

Background:

  • Cloud data security is a critical research challenge.
  • Illegitimate access attempts threaten stored information.
  • Existing methods like Scalable and Enhanced Key-Aggregate Cryptosystem (SE-KAC) have limitations in key sharing during decryption.

Purpose of the Study:

  • To propose a novel technique for secure cloud data transmission and verification.
  • To address the limitations of existing key management systems in cloud environments.
  • To enhance the security and integrity of data stored and shared in the cloud.

Main Methods:

  • Implementation of an Improved Diffie Hellman Key Exchange Algorithm (IDHKE) for secure secret key exchange.
  • Utilization of attribute-based encryption for access control.
  • Generation of cryptographic keys using a random prime number, master secret key, and parameter value.

Main Results:

  • Achieved secure sharing of secret keys between data senders and receivers.
  • Enabled protected data transmission with reliable validation.
  • Overcame the decryption stage limitations of previous key sharing methods.

Conclusions:

  • The proposed IDHKE method significantly enhances cloud data security.
  • Attribute-based encryption ensures consistent and secure access control.
  • The research provides a trustworthy solution for safeguarding cloud information.