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Related Concept Videos

Expected Value01:15

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The expected value is known as the "long-term" average or mean. This means that over the long term of experimenting over and over, you would expect this average. The expected average is represented by the symbol μ. It is calculated as follows:
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Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
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Related Experiment Video

Updated: Feb 3, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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What to expect from electronic patient record system implementation; lessons learned from published evidence.

Ward Priestman1, Shankar Sridharan2, Helen Vigne3

  • 1GOSH London. ward.priestman@gosh.nhs.uk.

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|November 7, 2018
PubMed
Summary

Successful Electronic Patient Record (EPR) implementation relies on strong leadership, training, and usability. While EPRs improve documentation and reduce errors, their impact on patient outcomes requires further research.

Keywords:
EPR, implementation, benefits, systems

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Area of Science:

  • Health Informatics
  • Information Systems in Healthcare
  • Clinical Information Management

Background:

  • Existing research on Electronic Patient Record (EPR) systems often focuses on isolated aspects of implementation.
  • A comprehensive understanding of factors influencing EPR success and clinical impact is needed.

Purpose of the Study:

  • To systematically review the peer-reviewed literature on EPR implementation.
  • To identify key factors critical for successful EPR adoption and their impact on clinical activities.

Main Methods:

  • A literature review was conducted.
  • 117 relevant articles were selected from an initial search of 312 potential sources.

Main Results:

  • Key success factors include strong leadership, management, infrastructure support, staff training, and focus on usability and workflows.
  • EPR implementation generally improves documentation, screening performance, and reduces prescribing errors.
  • Limited data exists on EPR impact on clinical patient outcomes, and technical factors like data migration and organizational readiness are under-represented.

Conclusions:

  • This synthesis of peer-reviewed literature provides an evidence base for organizations planning EPR implementations.
  • Highlights the need for considering a broader range of technical and organizational factors for successful EPR adoption.