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Purpose of Health Records II

Purpose of Health Records II

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

Methods of Documentation I: Source-Oriented Records

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:

Methods of Documentation VII: EMR

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...

Purpose of Health Records I

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 II: POMR

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.

Types of Records II: Educational and Administrative Records

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:

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Related Experiment Video

Updated: Oct 30, 2025

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Optimal Use of Physical Centric Relation Records for Digital Workflows.

C Osnes^1,2, J Patel³, A Wagstaff⁴

¹Research Assistant, School of Dentistry, University of Leeds, Leeds, UK.

The European Journal of Prosthodontics and Restorative Dentistry

|July 4, 2021

Summary

Virtual articulation, using 3D scans and software, demonstrated higher precision in dental cast articulation compared to traditional physical methods. This digital approach offers improved accuracy for dental treatments.

Keywords:

Articulation Centric Relation Records Digital Articulation Occlusion Precision Virtual Articulation

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Published on: November 22, 2019

Area of Science:

Dentistry
Biomedical Engineering
Digital Health

Background:

Accurate dental cast articulation is crucial for effective dental treatment planning and execution.
Traditional articulation methods rely on physical articulators and centric relation records.
Emerging digital and virtual techniques offer potential improvements in precision and efficiency.

Purpose of the Study:

To compare the precision of virtual articulation with traditional physical articulation methods.
To quantify differences in occlusal separation between the two articulation techniques.

Main Methods:

Dental casts were articulated using both traditional physical methods and a virtual, software-based approach.
Measurements of inter-arch separation at key points were taken for both methods.
Statistical analysis was performed to determine significant differences in precision (p<0.05).

Main Results:

Virtual articulation achieved a mean standard deviation of 0.059mm, while traditional articulation had a standard deviation up to 0.102mm.
Statistically significant differences were observed in anteroposterior and some lateral/vertical separations between the methods.
Virtual articulation proved to be significantly more precise than traditional articulation.

Conclusions:

Virtual articulation using 3D scanning and software offers superior precision compared to traditional physical articulation.
This digital workflow may enhance the accuracy of dental restorations and treatments.
Further research into digital workflows for dental articulation is warranted.