DNP 805 Week 4 Assignment EHR Database And Data Management GCU

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DNP 805 Week 4 Assignment EHR Database and Data Management GCU

EHR Database and Data Management

Introduction

According to medical studies in regards to cancer treatment, Prostate cancer is regarded as the most common illness among men (Hernandez-Boussard, Blayney & Brooks, 2020). Recently diagnosed men encounter complex therapy choices, each with various risks of obtained patient-centered outcomes such as urinary and erectile dysfunction. In these present times, care providers and patients find it difficult to contrast the trade-offs among patient-centered results across various treatments since the experimental evidence about these trade-offs does not exist (Hernandez-Boussard, Blayney & Brooks, 2020). According to experts, this is because patient-centered outcomes are not consistently recorded in computable formats. For healthcare institutions to enhance cancer care and accuracy of data, evidence recorded in computable forms should be placed in the hands of the clinicians and patients through a Web-based tool (Hernandez-Boussard, Blayney & Brooks, 2020). There are three significant innovative measures proposed in this article concerning the management of cancer patient’s data.

The first proposed approach endorses the development of an EHR prostate cancer database that will create an opportunity for clinical information to be analyzed alongside diagnostic details (Hernandez-Boussard, Blayney & Brooks, 2020). The second approach creates new ontological representations of quality metrics that are public and reliable across the EHR programs. The third proposed approach involves gathering a robust data information mining workflow that expands on modern methods by centering on ontology-based dictionaries to interpret the free text (Hernandez-Boussard, Blayney & Brooks, 2020). Combining these three innovative approaches will uniquely allow both clinicians and patients to use current EHRs to understand the trade-offs among patient-centered outcomes across various treatments adequately.

Utilizing EHR to measure and enhance prostate cancer treatment is essential since it creates room for healthcare facilities to share necessary information (Hernandez-Boussard, Blayney & Brooks, 2020). Through the EHR, it easy to develop the building blocks desirable to recognize quality metric information in EHRs. It is of the essence to create an EHR database, map quality metrics to medical vocabularies, and develop electronic quality metric phenotypes. The EHR program creates a web-based tool that integrates the empirical evidence and clinical characteristics to evaluate patient personalized risk prediction that assists care providers and patients in selecting a treatment option (Hernandez-Boussard, Blayney & Brooks, 2020). These options provide the best-anticipated quality of care given the significance they assign to each patient-centered outcome. Making use of EHR will assist in addressing a crucial gap in evidence for prostate cancer therapy and research by offering care providers and patients practical evidence desirable to contrast the trade-offs among patient-centered outcomes across various treatments.

Details

As a DNP-prepared nurse, you may be called upon to assist in the design of a clinical database for your organization. This assignment requires you to integrate a clinical problem with data technologies to better understand the components as well as how those components can lead to better clinical outcomes.

General Guidelines:

Use the following information to ensure successful completion of the assignment:

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
This assignment requires that at least two additional scholarly research sources related to this topic, and at least one in-text citation from each source be included.
You are required to submit this assignment to Turnitin. Refer to the directions in the Student Success Center.

Directions:

For this assignment, write a 1,000-1,250 word paper in which you:

Select a clinically-based patient problem in which using a database management approach provides clear benefit potential.
Identify the data needed to manage this patient problem using information from the electronic health record (EHR).
Include a brief description of the patient problem which incorporates information needed to manage the specific problem.
Identifies whether the EHR-supplied data is structured or unstructured with an explanation as to why.
Provide a complete description of the structured and unstructured data from the EHR that are needed to organize a hypothetical database.
Provide a complete description of data relationships that apply to the hypothetical database.

Assessment TraitsRequires LopeswriteAssessment Description

General Guidelines:

Use the following information to ensure successful completion of the assignment:

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
Use primary sources published within the last 5 years. Provide citations and references for all sources used.
Refer to the examples in the topic resources for health care database examples.
You are required to submit this assignment to LopesWrite. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.
Learners will submit this assignment using the assignment dropbox in the learning management system. In addition, learners must upload this deliverable to the Learner Dissertation Page (LDP) in the DNP PI Workspace for later use.

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Directions:

For this assignment, write a 1,000-1,250 word paper in which you:

Select a clinically based patient problem in which using a database management approach provides clear benefit potential.
Consider how a hypothetical database could be created to assist with this clinically based patient problem. Identify and describe the data needed to manage this patient problem using information from the electronic health record (EHR).
Include a brief description of the patient problem that incorporates information needed to manage the specific problem. Describe what information is required for the patient to manage the condition and how the database and health care provider can be incorporated into the approach for better health outcomes.
Describe each entity (data or attribute) that will be pulled from the EHR as either structured or unstructured and provide an operational definition for each. Structured data is more easily searchable and specifically defined. For example, structured data can be placed in a drop-down menu like hair color: brown, black, grey, salt and pepper, blonde, platinum, etc. Unstructured data is data that would be included in a nurse’s notes. An operational definition is how a researcher or informatics specialist decides to measure a variable. For example, when the nurses enter height into the EHR, do they enter height as measured in inches or centimeters or in feet and inches?
Provide a complete description of data entities (the objects for which you seek information, e.g., patients) and their relationships to the attributes collected for each entity (data collected for each entity, e.g., gender, birthdate, first name, last name) that apply to the hypothetical database. You can use a concept map similar to the “Database Concept Map” resource, to help you describe the relationships between each entity and its attributes.

AttachmentsDNP-805A-RS-DatabaseConceptMap.doc

Portfolio Practice Hours:

It may be possible to earn portfolio practice hours for this case report. Enter the following after the references section of your paper:

Practice Hours Completion Statement DNP-805

I, (INSERT NAME), verify that I have completed (NUMBER OF) clock hours in association with the goals and objectives for this assignment. I have also tracked said practice hours in the Typhon Student Tracking System for verification purposes and will be sure that all approvals are in place from my faculty and practice mentor.

ADDITIONAL INSTRUCTIONS FOR THE CLASS

Discussion Questions (DQ)

Initial responses to the DQ should address all components of the questions asked, include a minimum of one scholarly source, and be at least 250 words.
Successful responses are substantive (i.e., add something new to the discussion, engage others in the discussion, well-developed idea) and include at least one scholarly source.
One or two sentence responses, simple statements of agreement or “good post,” and responses that are off-topic will not count as substantive. Substantive responses should be at least 150 words.
I encourage you to incorporate the readings from the week (as applicable) into your responses.

Weekly Participation

Your initial responses to the mandatory DQ do not count toward participation and are graded separately.
In addition to the DQ responses, you must post at least one reply to peers (or me) on three separate days, for a total of three replies.
Participation posts do not require a scholarly source/citation (unless you cite someone else’s work).
Part of your weekly participation includes viewing the weekly announcement and attesting to watching it in the comments. These announcements are made to ensure you understand everything that is due during the week.

APA Format and Writing Quality

Familiarize yourself with APA format and practice using it correctly. It is used for most writing assignments for your degree. Visit the Writing Center in the Student Success Center, under the Resources tab in LoudCloud for APA paper templates, citation examples, tips, etc. Points will be deducted for poor use of APA format or absence of APA format (if required).
Cite all sources of information! When in doubt, cite the source. Paraphrasing also requires a citation.
I highly recommend using the APA Publication Manual, 6th edition.

Use of Direct Quotes

I discourage overutilization of direct quotes in DQs and assignments at the Masters’ level and deduct points accordingly.
As Masters’ level students, it is important that you be able to critically analyze and interpret information from journal articles and other resources. Simply restating someone else’s words does not demonstrate an understanding of the content or critical analysis of the content.
It is best to paraphrase content and cite your source.

LopesWrite Policy

For assignments that need to be submitted to LopesWrite, please be sure you have received your report and Similarity Index (SI) percentage BEFORE you do a “final submit” to me.
Once you have received your report, please review it. This report will show you grammatical, punctuation, and spelling errors that can easily be fixed. Take the extra few minutes to review instead of getting counted off for these mistakes.
Review your similarities. Did you forget to cite something? Did you not paraphrase well enough? Is your paper made up of someone else’s thoughts more than your own?
Visit the Writing Center in the Student Success Center, under the Resources tab in LoudCloud for tips on improving your paper and SI score.

Running head: MANAGING DATABASE AND DATA IN THE EHR Managing Database and Data in the EHR Grand Canyon University DNP 805 Lecturer Date Name 1 MANAGING DATABASE AND DATA IN THE EHR Better clinical outcomes and patient satisfaction are the most important things that every clinician looks forward to. As a doctor of nursing practice prepared nurse, one can be called upon in assisting with the designing of a clinical database of their organization for a better clinical outcome. Therefore, the purpose of paper is to, “identify a patient clinical problem in which using a database management approach provides clear benefit potential, Identifying the data needed to manage this patient problem using information from the electronic health record (EHR), identifying whether the data is structured or unstructured and providing a complete description of the structured and unstructured data from the EHR that are needed to organize a hypothetical database” (GCU, 2017). The Clinical problem Predicting Sepsis Risk and mortality is a clinical problem that can be managed by data from EHRs to provide clear benefit potential. According to Miller, (2016), “Physicians are forever recording information about their patients. They take vital signs, order lab tests and imaging, prescribe medications, check boxes to define patients’ diagnoses for billing purposes, and write or dictate narrative descriptions of each patient’s status.” All this data is found in structured and unstructure …

Late Policy

The university’s policy on late assignments is 10% penalty PER DAY LATE. This also applies to late DQ replies.
Please communicate with me if you anticipate having to submit an assignment late. I am happy to be flexible, with advance notice. We may be able to work out an extension based on extenuating circumstances.
If you do not communicate with me before submitting an assignment late, the GCU late policy will be in effect.
I do not accept assignments that are two or more weeks late unless we have worked out an extension.
As per policy, no assignments are accepted after the last day of class. Any assignment submitted after midnight on the last day of class will not be accepted for grading.

Communication

Communication is so very important. There are multiple ways to communicate with me:
- Questions to Instructor Forum: This is a great place to ask course content or assignment questions. If you have a question, there is a good chance one of your peers does as well. This is a public forum for the class.
- Individual Forum: This is a private forum to ask me questions or send me messages. This will be checked at least once every 24 hours.

EHR Database and Data Management – Rubric

Collapse All EHR Database And Data Management – RubricCollapse All

Selection of Clinically-Based Patient Problem

10 points

Criteria Description

Selection of Clinically-Based Patient Problem

5. Excellent

10 points

Patient problem selection indicates clear benefit potential by using a database management approach. Discussion is insightful and forward-thinking. Information presented is from current scholarly sources.

4. Good

9.2 points

Patient problem selection indicates clear benefit potential by using a database management approach. Discussion is convincing. Information presented is from scholarly though dated sources.

3. Satisfactory

8.8 points

Patient problem selection indicates clear benefit potential by using a database management approach, but the connection is perfunctory.

2. Less Than Satisfactory

8 points

Patient problem selection indicates some benefit potential by using a database management approach, but the connection is marginal or incomplete.

1. Unsatisfactory

0 points

Patient problem selection does not provide clear benefit potential by using a database management approach.

Identification of Data Needed to Manage the Patient Problem Using Information From the Electronic He

10 points

Criteria Description

Identification of Data Needed to Manage the Patient Problem Using Information From the Electronic Health Record (EHR)

5. Excellent

10 points

Identification of data needed to manage the patient problem using information from the electronic health record (EHR) is present in full. Discussion is convincing and defines specific elements. Discussion is insightful and forward-thinking. Information presented is from current scholarly sources.

4. Good

9.2 points

Identification of data needed to manage the patient problem using information from the electronic health record (EHR) is present in full. Discussion is convincing and defines specific elements. Information presented is from scholarly though dated sources.

3. Satisfactory

8.8 points

Identification of data needed to manage the patient problem using information from the electronic health record (EHR) is present but at a perfunctory level.

2. Less Than Satisfactory

8 points

Identification of data needed to manage the patient problem using information from the electronic health record (EHR) is marginal or incomplete.

1. Unsatisfactory

0 points

Identification of data needed to manage the patient problem using information from the electronic health record (EHR) is not present.

Patient Problem Description Incorporates Information Needed to Manage the Problem

15 points

Criteria Description

Patient Problem Description Incorporates Information Needed to Manage the Problem

5. Excellent

15 points

Patient problem description that incorporates information needed to manage the problem is present in full. Discussion is convincing and defines specific elements. Discussion is insightful and forward-thinking. Information presented is from current scholarly sources.

4. Good

13.8 points

Patient problem description that incorporates information needed to manage the problem is present in full. Discussion is convincing and defines specific elements. Information presented is from scholarly though dated sources.

3. Satisfactory

13.2 points

Patient problem description that incorporates information needed to manage the problem is present but at a perfunctory level.

2. Less Than Satisfactory

12 points

Patient problem description that incorporates information needed to manage the problem is marginal or incomplete.

1. Unsatisfactory

0 points

Patient problem description that incorporates information needed to manage the problem is not present.

Identification of EHR-Supplied Data as Structured or Unstructured With Explanation

10 points

Criteria Description

Identification of EHR-Supplied Data as Structured or Unstructured With Explanation

5. Excellent

10 points

Identification of EHR-supplied data as structured or unstructured is present with a thorough explanation. Discussion is insightful and forward-thinking. Information presented is from current scholarly sources.

4. Good

9.2 points

Identification of EHR-supplied data as structured or unstructured is present with a thorough explanation. Information presented is from scholarly though dated sources.

3. Satisfactory

8.8 points

Identification of EHR-supplied data as structured or unstructured is present with an explanation but is rendered at a perfunctory level.

2. Less Than Satisfactory

8 points

Identification of EHR-supplied data as structured or unstructured is present with or without an explanation but is marginal or incomplete.

1. Unsatisfactory

0 points

Identification of EHR-supplied data as structured or unstructured with an explanation is not present.

Structured and Unstructured Data From the EHR That Are Needed to Organize a Hypothetical Database

10 points

Criteria Description

Structured and Unstructured Data From the EHR That Are Needed to Organize a Hypothetical Database

5. Excellent

10 points

Structured and unstructured data from the EHR needed to organize a hypothetical database are described in full. A discussion of the rationale behind the design development is convincing and defines specific elements. Discussion is insightful and forward-thinking. Information presented is from current scholarly sources.

4. Good

9.2 points

Structured and unstructured data from the EHR needed to organize a hypothetical database are described in full. Discussion is convincing and defines specific elements. Information presented is from scholarly though dated sources.

3. Satisfactory

8.8 points

Structured and unstructured data from the EHR needed to organize a hypothetical database are described, but description is rendered at a perfunctory level.

2. Less Than Satisfactory

8 points

Structured and unstructured data from the EHR needed to organize a hypothetical database are described, but description is marginal or incomplete.

1. Unsatisfactory

0 points

Structured and unstructured data from the EHR needed to organize a hypothetical database are not described.

Data Relationships That Apply to the Hypothetical Database

15 points

Criteria Description

Data Relationships That Apply to the Hypothetical Database

5. Excellent

15 points

Data relationships that apply to the hypothetical database are not described in full. Discussion is convincing and defines specific elements. Discussion is insightful and forward-thinking. Information presented is from current scholarly sources.

4. Good

13.8 points

Data relationships that apply to the hypothetical database are not described in full. Discussion is convincing and defines specific elements. Information presented is from scholarly though dated sources.

3. Satisfactory

13.2 points

Data relationships that apply to the hypothetical database are described, but description is rendered at a perfunctory level.

2. Less Than Satisfactory

12 points

Data relationships that apply to the hypothetical database are described, but description is marginal or incomplete.

1. Unsatisfactory

0 points

Data relationships that apply to the hypothetical database are not described.

Thesis Development and Purpose

7 points

Criteria Description

Thesis Development and Purpose

5. Excellent

7 points

Thesis is comprehensive and contains the essence of the paper. Thesis statement makes the purpose of the paper clear.

4. Good

6.44 points

Thesis is clear and forecasts the development of the paper. Thesis is descriptive and reflective of the arguments and appropriate to the purpose.

3. Satisfactory

6.16 points

Thesis is apparent and appropriate to purpose.

2. Less Than Satisfactory

5.6 points

Thesis is insufficiently developed or vague. Purpose is not clear.

1. Unsatisfactory

0 points

Paper lacks any discernible overall purpose or organizing claim.

Argument Logic and Construction

8 points

Criteria Description

Argument Logic and Construction

5. Excellent

8 points

Clear and convincing argument that presents a persuasive claim in a distinctive and compelling manner. All sources are authoritative.

4. Good

7.36 points

Argument shows logical progressions. Techniques of argumentation are evident. There is a smooth progression of claims from introduction to conclusion. Most sources are authoritative.

3. Satisfactory

7.04 points

Argument is orderly, but may have a few inconsistencies. The argument presents minimal justification of claims. Argument logically, but not thoroughly, supports the purpose. Sources used are credible. Introduction and conclusion bracket the thesis.

2. Less Than Satisfactory

6.4 points

Sufficient justification of claims is lacking. Argument lacks consistent unity. There are obvious flaws in the logic. Some sources have questionable credibility.

1. Unsatisfactory

0 points

Statement of purpose is not justified by the conclusion. The conclusion does not support the claim made. Argument is incoherent and uses noncredible sources.

Mechanics of Writing (includes spelling, punctuation, grammar, language use)

5 points

Criteria Description

Mechanics of Writing (includes spelling, punctuation, grammar, language use)

5. Excellent

5 points

Writer is clearly in command of standard, written, academic English.

4. Good

4.6 points

Prose is largely free of mechanical errors, although a few may be present. The writer uses a variety of effective sentence structures and figures of speech.

3. Satisfactory

4.4 points

Some mechanical errors or typos are present, but they are not overly distracting to the reader. Correct and varied sentence structure and audience-appropriate language are employed.

2. Less Than Satisfactory

4 points

Frequent and repetitive mechanical errors distract the reader. Inconsistencies in language choice (register) or word choice are present. Sentence structure is correct but not varied.

1. Unsatisfactory

0 points

Surface errors are pervasive enough that they impede communication of meaning. Inappropriate word choice or sentence construction is used.

Paper Format (Use of appropriate style for the major and assignment)

5 points

Criteria Description

Paper Format (Use of appropriate style for the major and assignment)

5. Excellent

5 points

All format elements are correct.

4. Good

4.6 points

Template is fully used; There are virtually no errors in formatting style.

3. Satisfactory

4.4 points

Template is used, and formatting is correct, although some minor errors may be present.

2. Less Than Satisfactory

4 points

Template is used, but some elements are missing or mistaken; lack of control with formatting is apparent.

1. Unsatisfactory

0 points

Template is not used appropriately or documentation format is rarely followed correctly.

Documentation of Sources

5 points

Criteria Description

Documentation of Sources (citations, footnotes, references, bibliography, etc., as appropriate to assignment and style)

5. Excellent

5 points

Sources are completely and correctly documented, as appropriate to assignment and style, and format is free of error.

4. Good

4.6 points

Sources are documented, as appropriate to assignment and style, and format is mostly correct.

3. Satisfactory

4.4 points

Sources are documented, as appropriate to assignment and style, although some formatting errors may be present.

2. Less Than Satisfactory

4 points

Documentation of sources is inconsistent or incorrect, as appropriate to assignment and style, with numerous formatting errors.

1. Unsatisfactory

0 points

Sources are not documented.Total 100 points

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