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Related Concept Videos

Impact of Schemas01:30

Impact of Schemas

Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...
Schemata01:17

Schemata

A schema is a mental construct that organizes related concepts, allowing the brain to process information efficiently. Upon activation, schemata facilitate assumptions about people or objects.
Two types of schemata are:
Schemas01:42

Schemas

A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Storage01:23

Storage

A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze each...
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 2, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Simplifying access to a Clinical Data Repository using schema summarization.

Cong Yu1, David A Hanauer, Brian D Athey

  • 1Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|August 13, 2008
PubMed
Summary
This summary is machine-generated.

Schema summarization simplifies complex clinical data repositories for researchers. This method enables easier data querying for clinical and translational research, improving accessibility to integrated health information.

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

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Published on: March 19, 2018

Area of Science:

  • Biomedical Informatics
  • Health Data Science

Background:

  • The University of Michigan Clinical Data Repository (CDR) integrates over 25 diverse data sources.
  • The complex schema of the CDR hinders direct querying by clinical researchers.

Purpose of the Study:

  • To develop a schema summarization method for the Clinical Data Repository (CDR).
  • To enable clinical researchers with limited database knowledge to effectively query the CDR.

Main Methods:

  • Utilizing abstract elements and links to represent and simplify the complex CDR schema.
  • Developing a summarization technique to create an understandable interface for data querying.

Main Results:

  • The schema summarization effectively simplifies the complex CDR schema.
  • Users with limited database expertise can now issue effective queries to the CDR.

Conclusions:

  • Schema summarization is a viable approach to enhance data accessibility in large clinical data repositories.
  • This method facilitates clinical and translational research by improving data retrieval from complex integrated databases.