803 task 1 use 3
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School
Western Governors University *
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Course
C803
Subject
Information Systems
Date
Dec 6, 2023
Type
docx
Pages
7
Uploaded by DeanLapwing6244
Data Analytics and Information Governance - C803
8/4/2023
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Data Analytics and Information Governance – Task 1
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Contents
A.
Data Type Characteristics
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A1. Data Types Examples
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A2. Sources of Data
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A3. Appropriateness of Data
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B.
Uniform Data Set
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C.
Application Data Dictionary
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C1. Justification Data Dictionary
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D. Resources
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Data Analytics and Information Governance – Task 1
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A.
Primary data in a healthcare setting is collected firsthand from the patient by a
healthcare professional when providing care or service to the patient. Also, primary data is
known to be generally more factual and original than secondary data, with the intent of creating
a solution to the problem at hand (Surbhi, 2020). Primary data is often used to gather specific
and detailed information that may not be available in existing databases. Hence, primary data
can be very costly to an organization since the research is being done solely by them, leading to
additional investment resources and staffing needed (Surbhi,2020). Secondary data sources are
often information from a primary source that someone else has already collected for a different
purpose (Oachs & Watters, 2020). Secondary data are easily obtained, saving researchers time
and resources. However, secondary data are less accurate than primary data.
Primary and secondary data can be used in decision-making and improvement. Both can
consist of patient-identifiable data. Secondary data is also known as aggregate data, which is
data on a group of patients without identifying a specific patient and is past data. Primary data
is real-time data and is specific to a researcher's needs.
A1.
Primary and secondary data sources can be applied in a healthcare setting differently. A primary
care physician may provide a patient with a wearable device to monitor the patient's sleep
pattern. The primary data collected by this wearable device is transmitted wirelessly to the
primary care physician system, which allows continuous monitoring of the patient's sleep
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pattern, and this information can be used to analyze or identify any abnormal pattern. A unique
example of secondary data that can be applied is by analysis of the electronic health record to
identify a pattern or trend in the pandemic(covid-19). Researchers can use the information to
identify patients with similar symptoms or diagnoses within a specific geographic area.
Secondary data is helpful to medical staff in identifying patterns and trends that can be helpful
for patient care and benchmarking with other organizations (Oachs & Watters, 2020).
A2.
A relevant source for primary data is the patient health record which provides healthcare
providers with comprehensive information about a patient medical and family history which can
be used for patient care, research, and clinical decision-making. A relevant source for secondary
data in a healthcare setting is the cancer registry, a database that collects, manages, and
analyzes information on cancer cases within a specific population or healthcare institution. It
contains data on various aspects of cancer, such as the patient demographic, tumor
characteristics, cancer staging, treatment, and outcome (National Cancer Institute, n.d). The
cancer registry provides a follow-up for the registered patients annually by attempting to obtain
information about whether the patient is still alive, the status of the cancer, and the treatment
the patient has received during this period (Oachs & Watters, 2020).
A3.
The patient health record is vital to healthcare because it provides comprehensive patient
information, including demographic information, medical diagnosis, treatment plan,
medication, and test results. Also, when multiple providers are involved in patient care, the
Data Analytics and Information Governance – Task 1
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health record allows for seamless communication and coordination, which aids in providing the
patient with optimal care.
A.
The uniform hospital discharge data set (UHDDS) is a standardized format for collecting and
reporting data on patients discharged from the hospital. The information from the uniform
hospital discharge data set can be used as a quality improvement by a healthcare organization
to analyze and compare their patient outcomes, length of stay, and readmission rates with
another healthcare organization. This data can be used to identify improvement areas and
implement a targeted intervention to enhance the quality of care. The uniform hospital
discharge data set (UHDDS) is used in hospitals to collect data on patients discharged from
hospitals within a specific area by many states (Oachs & Watters, 2020).
B.
Data dictionaries comprehensively describe the data elements used in a specific system or
database. It also serves as a reference guide for providing information about each data
element's purpose, definition, format, and usage. A data dictionary is critical to ensuring data
quality throughout a health information system (Oachs & Watters, 2020).
There are two essential types of data dictionaries for developing health information systems.
The database management system data dictionary for a specific database with a built-in data
dictionary, and the modern database management system developed goes beyond the
dictionary because it stores information about data relationships (Oachs & Watters, 2020).
Data Analytics and Information Governance – Task 1
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The second type of data dictionary is the organization-wide data dictionary that is developed
outside the framework of a specific database design process, and the data dictionary serves to
promote data quality through data consistency across the organization(Ochs & Watters. A data
dictionary in a health information system will help reduce inconsistencies and facilitate effective
data sharing.
C1
Data dictionaries can improve an organization's communication across the continuum of care by
providing a standardized and consistent reference for data elements. Data dictionaries allow
interoperability between different health information systems to ensure a seamless exchange of
patient information, supporting continuity of care and improving communication between
healthcare providers. A data dictionary is used to support medical professionals in a healthcare
organization in exchanging information across several clinical systems through standardization
(Oachs & Watters, 2020).
D. Resources
National Cancer Institute. (n.d.). What is a cancer registry? NIH National Cancer Institute.
https://seer.cancer.gov/registries/cancer_registry/cancer_registry.html
Oachs, P., & Watters, A. (2020). Health Information Management, Concepts, Principles, and Practice (6th
ed.). American Health Information Management Association (AHIMA).
https://wgu.vitalsource.com/books/9781584267577
Surbhi, S. (2020, July 13). Difference Between Primary and Secondary Data
https://keydifferences.com/difference-between-primary-and-secondary-data
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