C175 Data Management - Terms
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Process of evaluating relationships or
associations between data elements that
demonstrate some kind of affinity
Discuss the advantages and disadvantages of each of the following categories of
o Definition: Aggregate is collected data created to study about a group of patients
of gather information about a group of patients. This i
An associative entity is an element of the entity-relationship model. All relationships for the associative
entity should be many.
An attribute is a property or characteristic of an entity.
A binary relatio
5.1 Database Tables and Normalization
Having good relational database software is not enough to avoid the data redundancy
discussed in Lesson 1, Introduction to Databases, Information and Data. If the database tables
are treated as though they are files i
7.1 The Need for Data Analysis
Organizations tend to grow and prosper as they gain a better understanding of their
environment. Most managers need to track daily transactions to evaluate how the business is
performing. By tapping into the operational data
6.1 Introduction to SQL
Ideally, a database language allows you to create database and table structures, perform basic
data management chores (add, delete, and modify), and perform complex queries designed to
transform the raw data into useful information
1.1 Why Databases?
So, why do we need databases? In today's world, data is ubiquitous (abundant, global,
everywhere) and pervasive (unescapable, prevalent, persistent). From birth to death, we
generate and consume data. The trail of data starts with the b
4.1 IMPORTANT: The Entity Relationship Model (ERM)
You should remember from Lesson "Data Modeling" and Lesson "The Relational Database
Model", that the ERM forms the basis of an ERD. The ERD represents the conceptual database
as viewed by the end user. ER
2.1 Data Modeling and Data Models
Database design focuses on how the database structure will be used to store and manage enduser data. Data modeling, the first step in designing a database, refers to the process of
creating a specific data model for a det
3.1 A Logical View of Data
In Lesson "Introduction to Databases, Information and Data", you learned that a database
stores and manages both data and metadata. You also learned that the DBMS manages and
controls access to the data and the database structur
hat is a broad definition of data?
(i) captured on printed or digital media
(3 Numbers that are captured on digital media
(3 Alphanumeric combinations that can be captured on media that a computer can read
(3 flintr information that can be transferred fro
hat is a bread definiticn of data?
(i) Raw facts that a * captured on printed or digital media
0 Numbers that are captured [in digital media
0 Alphanumeric ccmbinatipns that can be captured [in media that a cpmputer can read
0 illnyr infermaticn that can
A(n)| entity @elationship is also known as an identifying relationship.
Explanation: A strong relationship is also known as an identifying relationship.
Lesson: The Relational Model of Data
Objective: IMPORTANT: The Entity Relationship Model cfw_ERM
Test: Assessment | Quizlet
2 Written questions
1. What are data?
2. What is the broad definition of data?
7 Multiple choice questions
1. Which classification is correct for the box market "Quantity" in the given entity-relationship diagram?
SQL functions fit into two broad categories:
It is a data definition language (DDL). SQL includes commands to create database objects such as tables, indexes, and views, as well as commands to define access rights to those database objects. Some common d
Healthcare in one sector, where data quality is one of the most important
assets for any healthcare organization. It is one industry where even 99% data quality
is considered bad data. In this industry the tolerance for fault is less than 1%. So
Willow Bend Hospital
Policy and Procedures
Retention of Health Information
Health Information Management
Virginia Welch, RHIA HIM
MEDICAL STAFF COMMITTEE
James Harkness, MD
CHIEF FINANCIAL OFFICER
Data management has gone from paper based to digital. But with this
transition the various policies regarding the data management also needs to be
updated as what is valid for paper based might not hold for digital data management
or it might require more
In old times all the patient data medical history, charting entries, diagnosis
data, physician evaluation, test results etc. was paper based and everything was
stored in paper-based files. But the world is going digital and electronic
THE ENTITY RELATIONSHIP
THE ENTITY RELATIONSHIP MODEL (ERM)
The Relational Database Model, that the ERM forms the
basis of an ERD.
The ERD represents the conceptual database as viewed by
the end user. ERDs depict the databases main
Definition of Data (Structured and Unstructured)
Flat files and structure
Know Primary Key, Intersection Data, and Entitiy
Know Relationship diagrams in and out
Know Urnary, Binary, and Terenary relationships
Normalization is a process for evaluating and correcting table structures to minimize data redundancies, thereby reducing the likelihood of data anomalies.
The normalization process involves assigning attributes to tables based on the concept of determin
It can be argued that the ultimate purpose of all business information systems is to help businesses use information as an organizational resource.
At the heart of all of these systems are the collection, storage, aggregation, manipulation, dissemina
Business intelligence (BI)1 is a term that describes a comprehensive, cohesive, and integrated set of tools and processes used to capture, collect, integrate, store, and analyze data with the purpose of generating and presenting information to support bus
Data modeling is an iterative, progressive process
The basic building blocks of all data models are entities, attributes, relationships, and constraints
An attribute is a characteristic of an entity. For example, a CUSTOMER entity would be described by at
a table contains a group of related entity occurrencesthat is, an entity set.
1 A table is perceived as a two-dimensional structure composed of rows and columns.
2 Each table row (tuple) represents a single entity occurrence within the entity set.
A derived attribute is indicated in the Chen notation by a dashed line that connects the attribute and the entity.
The Crow's Foot notation does not have a method for distinguishing the derived attribute from other attributes.
Composite: An attribute that