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Related Concept Videos

Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare settings,...
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:
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Types of Records II: Educational and Administrative Records01:18

Types of Records II: Educational and Administrative Records

Maintaining nurses' educational and administrative records in healthcare settings, including hospitals and nursing schools, is paramount. Here's a breakdown of the types of academic records mentioned:
Methods of Documentation II: POMR01:26

Methods of Documentation II: POMR

The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

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 illness...

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Related Experiment Video

Updated: May 26, 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

Role prediction using Electronic Medical Record system audits.

Wen Zhang1, Carl A Gunter, David Liebovitz

  • 1Dept. of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|December 24, 2011
PubMed
Summary

This study integrates Role Based Access Control (RBAC) and Experience Based Access Management (EBAM) to enhance Electronic Medical Records (EMR) security. The novel Roll-Up algorithm improves role prediction accuracy, bolstering patient data protection.

Related Experiment Videos

Last Updated: May 26, 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

Area of Science:

  • Health Informatics
  • Computer Science
  • Cybersecurity

Background:

  • Electronic Medical Records (EMRs) offer data accessibility but pose security risks if access is not properly managed.
  • Current security strategies like Role Based Access Control (RBAC) and Experience Based Access Management (EBAM) have limitations in effectively managing user privileges.
  • A core challenge in EMRs is distinguishing authorized users from unauthorized parties to prevent data breaches.

Purpose of the Study:

  • To integrate RBAC and EBAM using a novel algorithm for effective role management in EMR systems.
  • To introduce and evaluate the concept of "role prediction" for identifying user roles from audit data.
  • To enhance the security and manageability of patient data access within EMRs.

Main Methods:

  • Development and application of the "Roll-Up" algorithm, integrating RBAC and EBAM principles.
  • Introduction of "role prediction" to infer user roles based on audit log analysis.
  • Testing the algorithm on three months of EMR audit logs from Northwestern Memorial Hospital's Cerner system (approx. 8000 users, 140 roles).

Main Results:

  • The Roll-Up algorithm demonstrated the ability to predict existing roles with 50% accuracy.
  • Intelligent grouping of roles facilitated by the Roll-Up algorithm achieved 65% accuracy in role management.
  • The integrated approach shows significant potential for improving EMR security and access control.

Conclusions:

  • The integration of RBAC and EBAM through the Roll-Up algorithm offers a promising solution for EMR security challenges.
  • Role prediction and intelligent role grouping are effective strategies for enhancing access management.
  • This approach can lead to more secure and efficient handling of sensitive patient data in healthcare settings.