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Related Concept Videos

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:
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,...
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...
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:
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 I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:

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Related Experiment Video

Updated: Jul 16, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Performance analysis of a medical record exchanges model.

Ean-Wen Huang1, Der-Ming Liou

  • 1Department of Information Management, National Taipei College of Nursing, Taipei 112, Taiwan, ROC. huang@mail1.ntcn.edu.tw

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|March 30, 2007
PubMed
Summary

This study introduces a secure electronic medical record exchange model using exchange interface servers (EISs) and public-key encryption. The system efficiently transfers health information, improving diagnosis and reducing costs.

Related Experiment Videos

Last Updated: Jul 16, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Area of Science:

  • Health Informatics
  • Computer Science
  • Network Security

Background:

  • Electronic medical record (EMR) exchange enhances physician diagnosis and reduces healthcare costs by minimizing redundant examinations.
  • Interoperability challenges persist in current healthcare systems, hindering seamless data sharing.

Purpose of the Study:

  • To propose and implement a novel model for secure and efficient electronic medical record exchange between hospitals.
  • To enhance diagnostic capabilities and operational efficiency through improved data accessibility.

Main Methods:

  • Development of Exchange Interface Servers (EISs) for managing intra- and inter-hospital network communication.
  • Implementation of an index service center for managing EIS and publishing public keys.
  • Utilizing Health Level Seven (HL7) query messages, public-key encryption, and queuing theory for system evaluation.

Main Results:

  • A prototype system was successfully implemented, capable of generating, parsing, encrypting, and decrypting medical record messages.
  • Queuing theory analysis estimated system performance, identifying potential bottlenecks.
  • The model demonstrated a processing capacity of approximately 4000 patients/hour in a 1-MB network environment.

Conclusions:

  • The proposed EMR exchange model offers a secure and efficient solution for inter-institutional data sharing.
  • The system has the potential to significantly improve healthcare delivery by providing comprehensive patient information to physicians.
  • Further optimization can enhance the model's capacity and scalability for broader healthcare networks.