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

Ethical Standards I01:25

Ethical Standards I

The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
Data Collection II01:29

Data Collection II

The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...
Data Collection I01:30

Data Collection I

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 data...
Purpose of Health Records I01:11

Purpose of Health Records I

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:
Ethical Standards II01:23

Ethical Standards II

Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy and...
Purpose of Health Records II01:19

Purpose of Health Records II

Health records serve various essential purposes in the healthcare system. Here are some key purposes:

You might also read

Related Articles

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

Sort by
Same author

Mortality Risk in Patients With Adrenal Insufficiency Using Prednisolone or Hydrocortisone: A Retrospective Cohort Study.

The Journal of clinical endocrinology and metabolism·2021
Same author

How is the COVID-19 lockdown impacting the mental health of parents of school-age children in the UK? A cross-sectional online survey.

BMJ open·2021
Same author

Securing a sustainable and fit-for-purpose UK health and care workforce.

Lancet (London, England)·2021
Same author

LSE-Lancet Commission on the future of the NHS: re-laying the foundations for an equitable and efficient health and care service after COVID-19.

Lancet (London, England)·2021
Same author

Assessing the long-term safety and efficacy of COVID-19 vaccines.

Journal of the Royal Society of Medicine·2021
Same author

Associations between attainment of incentivized primary care indicators and incident lower limb amputation among those with type 2 diabetes: a population-based historical cohort study.

BMJ open diabetes research & care·2021
Same journal

An integrated organisation-wide data quality management and information governance framework: theoretical underpinnings.

Informatics in primary care·2014
Same journal

Mapping French terms in a Belgian guideline on heart failure to international classifications and nomenclatures: the devil is in the detail.

Informatics in primary care·2014
Same journal

Advantages of using voiced questionnaire and image capture application for data collection from a minority group in rural areas along the Thailand-Myanmar border.

Informatics in primary care·2014
Same journal

Effectiveness of local support for the adoption of a national programme--a descriptive study.

Informatics in primary care·2014
Same journal

Using video-based observation research methods in primary care health encounters to evaluate complex interactions.

Informatics in primary care·2014
Same journal

The John Bryden memorial lecture: Improving health with the community health index and developments in record linkage.

Informatics in primary care·2014
See all related articles

Related Experiment Video

Updated: May 9, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Managing and exploiting routinely collected NHS data for research.

Vasa Curcin1, Michael Soljak, Azeem Majeed

  • 1Department of Computing, Imperial College London, London SW7 2AZ, UK. vasa.curcin@imperial.ac.uk

Informatics in Primary Care
|July 30, 2013
PubMed
Summary
This summary is machine-generated.

Researchers face challenges using National Health Service (NHS) electronic health records (EHRs) for health research. Improving data transparency and management skills is crucial for optimal utilization and reproducibility.

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

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Related Experiment Videos

Last Updated: May 9, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

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

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Area of Science:

  • Health Informatics
  • Biomedical Research Data Management

Background:

  • National Health Service (NHS) data, including electronic health records (EHRs), offers extensive patient-level information for health research.
  • The sensitivity, complexity, and scale of NHS data present significant hurdles for researchers.
  • Growing reliance on routinely collected health data necessitates better research practices.

Purpose of the Study:

  • To identify legislative and practical challenges hindering optimal use of NHS data in research.
  • To propose recommendations for overcoming these data access and management barriers.

Main Methods:

  • Review of current challenges in accessing and managing NHS research data.
  • Highlighting projects like Rapid Organisation of Healthcare Research Data (ROHRD) that aim to improve data management.
  • Focus on the need for better data indexing and metadata provision.

Main Results:

  • Increased transparency of data set availability and provenance enhances research utilization.
  • Improved data management facilitates compliance with regulatory requirements.
  • Addressing data management skill gaps is essential for advanced research practices.

Conclusions:

  • NHS research data is often underutilized due to haphazard management and lack of auditability.
  • Insufficient informatics and data management skills impede the adoption of advanced practices like provenance capture.
  • Achieving full transparency and reproducibility in health research requires a coordinated effort from research organizations, funders, and publishers.