Assessment 3 Instructions: Health Care
Information Review Proposal
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Write a proposal (5-7 pages) for a
health care information review of the
quality of care given to a specific
patient population.
Instructions
You now know:
What information or data you
will be reviewing.
• From where the information or
data will come.
• Which standards or goals you
are trying to reach.
You now need to determine how to
make all of this happen. In this part of
the process, you will put together
your action plan. Who is going to do
the work? What type of skills will they
need? How long will it take them to do
the work? This is your game
plan. Each and every step needs to be
clearly laid out and explained.
•
Keep in mind that you are writing a
proposal. You are telling your
physician group what you would like
to do, why you want to do it, and how
you are going to do it. You are not
buying new devices or starting a new
process. You are reviewing
documentation that is already present
in the office, or potentially in hospital
records, to identify whether your
group's physicians provided quality
care.
This assessment will complete your
proposal for the health information
review that you
recommend. Throughout this
assessment, explicitly state the reasons
for each and all of your choices.
Please carefully review this
assessment's scoring guide to better
understand the performance levels
relating to each criterion on which you
will be evaluated.
Demonstration of
Proficiency
By successfully completing this
assessment, you will demonstrate
your proficiency in the course
competencies through the following
assessment scoring guide criteria:
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Competency 1: Outline the
steps of the health care
information life cycle.
• Map the flow of health
record information.
• Detail steps and time
frames for implementing
a study.
Competency 2: Apply laws
governing health information
confidentiality, privacy, and
security.
• Plan data security
measures.
Competency 3: Assess system
applications used to
operationalize health
information.
• Explain rationale for
proposed health care
•
•
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information review
procedures.
• Plan procedures and
human resource
requirements to manage
the information.
Competency 4: Determine how
a health information exchange
(HIE) affects the management
of patient data, clinical
knowledge, and population
data.
• Plan evidence-based best
practices or procedures
to ensure data
meet standards for
interoperability with an
HIE.
Competency 5: Integrate quality
and change management
strategies.
• Plan evidence-based
quality and change
management strategies.
Competency 6: Communicate in
a manner that is scholarly,
professional, and respectful of
the diversity, dignity, and
integrity of others, and
consistent with the
expectations for health care
professionals.
• Write clearly, with
correct spelling,
grammar, and syntax,
and good organization.
• Apply proper APA
formatting and style to
citations and references.
Instructions
You do not need to write your
proposal in APA format. You do need
to complete a cohesive, coherent,
organized, and wellwritten proposal. Much of the
information you include in your
proposal will come from your
previous assessments. Be sure your
proposal includes all of the following
headings and your narrative
addresses each of the bullet points.
Introduction
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Explain what information you
propose to collect.
Provide the reasons for
collecting this information.
Describe how could this
information be used to validate
or improve the quality of care at
your facility.
Data Collection Plan
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Propose an implementation
plan and detail the information
you plan to collect at your
facility, including where and
how it will be collected:
Specify the following:
• The time period you
propose to review.
• The system applications
you will use to collect the
health information.
Write a narrative, create a
timeline, build a flowchart, or
use any other method of your
choosing to demonstrate the
flow of health record
information through the
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information life cycle from
creation to destruction. Identify
those sections within the life
cycle from which you will
retrieve information.
Explain the use of information
from an HIE and describe how
it may affect patient care,
clinical knowledge, and
population health data.
Detail the personnel required to
complete the health
information review, including
their needed skills and
required training and job aids.
Describe strategies that will be
employed to help personnel
implement the review study.
Data Security Plan
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Plan measures to protect PHI.
Apply laws governing health
information confidentiality,
privacy, and security.
Plan for the impact of HIPAA on
health care personnel, policies,
and procedures.
Benchmarking Plan
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Identify the sources of national
data and quality measures.
Describe how you will use
the national data and quality
measures as benchmarks to
compare with data from
your facility.
Explain how you will ensure
data standardization, along
with any other factors you need
to take into account, so the data
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from these sources is
compatible with the data you
plan to collect.
Explain how the collected data
will be compared to the
benchmarking and quality
standards.
Quality and Change Management
Strategies
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Explain how data outcomes
could be used to perform
quality improvement reviews
and recommend evidencebased best practices for policies
and procedures based on
outcomes.
Recommend best practices for
departmental workflow that
will support the information
review you are proposing.
Describe relevant evidencebased best practices and
procedures from peer-reviewed
articles or Internet resources
that could facilitate needed
changes.
Implementation
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Detail the steps for
implementing the information
review study along with the
expected time frames.
Conclusion
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Summarize how the proposed
study will improve the quality
of patient care for your
physician group.
Additional Requirements
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Written communication: Your
paper does not need to be in
APA format. It does need to
be clear and well organized,
with correct spelling, grammar,
and syntax, to support orderly
exposition of content.
Title page: Develop a descriptive
title of 5–15 words. It should
stir interest yet
maintain professional decorum.
References: Include a minimum
of two citations of peerreviewed sources in APA
format.
Length: 5–7 typed and doublespaced content pages, not
including the title page and
references page.
Font and font size: Times New
Roman, 12 point.
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Discussion: Benchmark and Quality Measures
Introduction
Data compatibility is a data-enabled system that is important to health care since it allows
effective collaboration of the data systems within and outside the healthcare organization. The
compatible data systems work as integral elements in the data ecosystem that works together to
achieve the set objectives.
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Data Compatibility
The ways that are effective in ensuring that the data obtained from multiple sources are
compatible include verifying and validating the data fields. The other approach to ensure
compatibility of the data from multiple sources is combining all the data into one list. The other
approach is standardizing the data. The other strategy is identifying and merging data duplicates
by determining the current record to approve the data. The practical approach to ensure the applied
data is compatible with the office data includes comparing valid data to the official data. The other
method is measuring the consistency of the compatible data to the office data. Collecting data from
multiple sources is essential in comparing and evaluating the statistical of the infection in a
country, thus obtaining an adequate understanding of the state of the condition. The potential
challenges associated with data standardization include incomplete and inaccurate data collection,
which reduces its reliability compared to the office data. The other challenge is the patient
matching issues which reduces the specificity of the data, thus impacting the health care
organization workflow (Shary, 2020).
Effects of Health Information Quality on the HIE
The national database is data storage used by health care professionals to capture clinical
and laboratory information. The HIE refers to an electronic health information exchange program
that is applied to improve the efficiency and quality of health care services. HIE system enables
the health care professionals to obtain and share data relating to a patient using electronic like a
computer. The database can be presented in a paper approach, while HIE can be shown in an
electronic format. The possible challenges that can develop when the facilities provide incomplete
or inaccurate data to an HIE relating to the patient may contribute to adverse outcomes. The
submission of incomplete and inaccurate data results from delays in the medication process.
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The possible problem that may result when facilities submit inaccurate and incomplete
information to a national database relating to the patient results in negative outcomes. The negative
impacts include adverse responses when any medications or services are administered. In addition,
submitting incomplete data in the national database may contribute to legal actions to the facility,
adverse reactions from medication to patient and wrong billing codes. Inaccurate or incomplete
data would affect the proposal. Incorrect data will contribute to the wrongful decision that
contributes to adverse outcomes for the patient (Wilkinson et al., 2019).
Conclusion
Data compatibility is an essential component in comparing data obtained from the office
to a national database. When implementing the national database and HIE program, it is vital to
ensure the data is comparable to the accessed data. Therefore it is critical to ensure the collection
of accurate and complete data to provide accurate results to the patients.
References
Shary, S. (2020). Weak and Strong Compatibility in Data Fitting Problems Under Interval
Uncertainty. Advances In Data Science and Adaptive Analysis, 12(01), 2050002.
https://doi.org/10.1142/s2424922x20500023
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Wilkinson, S., Borycki, E., & Kushniruk, A. (2019). Best practices for EHR implementation: A
BC First Nations community’s experience. Healthcare Management Forum, 33(1), 39-46.
https://doi.org/10.1177/0840470419860863
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