Assessment 3 Instructions: Reflection on EHR Accuracy, Data Mining, and Clinical Decision Making
Instructions
Write a reflection paper (1-page) addressing key lessons learned relating to EHR accuracy and standards, data
mining, and legal and ethical considerations surrounding EHR-CDS usage. THE ACTIVITIES I DO MYSELF
mining, and legal and ethical considerations surrounding EHR-CDS usage. THE ACTIVITIES I DO MYSELF
Complete three EHR Go activities relating to medication reports, order verification, and risks and clinical warnings.
Write a reflection paper (1-page) addressing key lessons learned relating to EHR accuracy and standards, data
mining, and legal and ethical considerations surrounding EHR-CDS usage.
Data mining is the process of discovering and extracting patterns within a set of data. Its main goal is to transform
data into meaningful information, typically for decision-making purposes. Identifying patterns within data helps to
depict the data and to predict future behaviors or patterns. Information such as this helps to improve quality of care,
reduce costs, and support organizational services, such as disease management and resource utilization. Historically,
conducting this kind of research was extremely labor intensive. With the advent of electronic health record systems
and clinical decision support (CDS) systems, health care professionals now have access to large volumes of highly
standardized and electronically stored data.
One type of CDS system involves itemizing a set of symptoms and circumstances and then searching the potential
range of diagnoses as the source of those symptoms. A set of internal organizational guidelines govern the use of
these activities within the CDS system. The high-level concept is to build an application capable of integrating the
information and then identifying a potential diagnosis in the same way a human expert would make a diagnosis.
A wide range of potential ethical and legal issues relate to the creation, implementation, and use of CDS systems.
Clinical decision support assists with analyzing and interpreting health data and then offering recommendations
based on that data. An example of a legal and ethical issue related to the proper use of these systems involves
practitioners’ ethical responsibilities. Do practitioners fully understand the implications of following the software
recommendations when treating a patient?
The three EHR Go activities that form the bulk of this assessment show that data analysts need to be knowledgeable
about a large amount of material. At the same time, it’s not sufficient to have a grasp of this information in isolation.
Professional data analysts need to be able to integrate this information into a meaningful whole. They need to be
able to see the big picture. How do the pieces of information relate to each other? As an example, incorrect data in
the health record affects data mining activities. This, in turn, affects statistical results, which may result in a bad
clinical decision. Alerts, warnings, and recommendations exist to help improve documentation but care also needs
to be taken to ensure data security.
In this third course assessment, you will complete EHR Go activities related to EHR accuracy and standards, data
mining activities used to extract useful information for improving patient care, and the legal and ethical
considerations surrounding EHR and CDS usage. In the second part of this assessment, you will integrate the key
takeaways you’ve learned from completing the activities into a meaningful whole by writing a brief reflection paper.
Demonstration of Proficiency
By successfully completing this assessment, you will demonstrate your proficiency in the course competencies
through the following assessment scoring guide criteria:
Competency 1: Examine analytics and decision support.
Recognize internet, cybersecurity, and mobile device security threats, including the sharing of patient
information without written consent.
Write a reflection paper (1-page) addressing key lessons learned relating to EHR accuracy and standards, data
mining, and legal and ethical considerations surrounding EHR-CDS usage.
Data mining is the process of discovering and extracting patterns within a set of data. Its main goal is to transform
data into meaningful information, typically for decision-making purposes. Identifying patterns within data helps to
depict the data and to predict future behaviors or patterns. Information such as this helps to improve quality of care,
reduce costs, and support organizational services, such as disease management and resource utilization. Historically,
conducting this kind of research was extremely labor intensive. With the advent of electronic health record systems
and clinical decision support (CDS) systems, health care professionals now have access to large volumes of highly
standardized and electronically stored data.
One type of CDS system involves itemizing a set of symptoms and circumstances and then searching the potential
range of diagnoses as the source of those symptoms. A set of internal organizational guidelines govern the use of
these activities within the CDS system. The high-level concept is to build an application capable of integrating the
information and then identifying a potential diagnosis in the same way a human expert would make a diagnosis.
A wide range of potential ethical and legal issues relate to the creation, implementation, and use of CDS systems.
Clinical decision support assists with analyzing and interpreting health data and then offering recommendations
based on that data. An example of a legal and ethical issue related to the proper use of these systems involves
practitioners’ ethical responsibilities. Do practitioners fully understand the implications of following the software
recommendations when treating a patient?
The three EHR Go activities that form the bulk of this assessment show that data analysts need to be knowledgeable
about a large amount of material. At the same time, it’s not sufficient to have a grasp of this information in isolation.
Professional data analysts need to be able to integrate this information into a meaningful whole. They need to be
able to see the big picture. How do the pieces of information relate to each other? As an example, incorrect data in
the health record affects data mining activities. This, in turn, affects statistical results, which may result in a bad
clinical decision. Alerts, warnings, and recommendations exist to help improve documentation but care also needs
to be taken to ensure data security.
In this third course assessment, you will complete EHR Go activities related to EHR accuracy and standards, data
mining activities used to extract useful information for improving patient care, and the legal and ethical
considerations surrounding EHR and CDS usage. In the second part of this assessment, you will integrate the key
takeaways you’ve learned from completing the activities into a meaningful whole by writing a brief reflection paper.
Demonstration of Proficiency
By successfully completing this assessment, you will demonstrate your proficiency in the course competencies
through the following assessment scoring guide criteria:
Competency 1: Examine analytics and decision support.
Recognize internet, cybersecurity, and mobile device security threats, including the sharing of patient
information without written consent.
Describe strategies for developing standards and guidelines to protect electronically accessible health
information.
Competency 2: Apply report generation technologies to facilitate decision making.
Explain data mining’s role in measuring CDS systems’ accuracy and efficiency and in generating
reports.
Recommend EHR-CDS functions that support effective clinical decision making relating to medication.
Competency 4: Apply data extraction methodologies.
Use EHR-CDS functions to create a medication report based on patient chart information.
Use EHR-CDS functions to assess potential contraindications, and warnings and precautions
information.
Competency 5: Evaluate data used for medical staff credentialing.
Describe a clinician’s role in overriding CDS system information.
Competency 6: Communicate effectively in a professional manner.
Write clear, well organized, professional documents that are generally free of errors in grammar,
punctuation, and spelling.
Follow APA style and formatting guidelines for citations and references.
Preparation
Independent Research
If you are less familiar with EHRs and CDS systems, you may wish to conduct additional independent research. The
suggested resources provide a good starting point. You may also wish to consult the Health Care Administration
Undergraduate Library Research Guide for research tips and help in identifying current, scholarly and/or
authoritative sources.
information.
Competency 2: Apply report generation technologies to facilitate decision making.
Explain data mining’s role in measuring CDS systems’ accuracy and efficiency and in generating
reports.
Recommend EHR-CDS functions that support effective clinical decision making relating to medication.
Competency 4: Apply data extraction methodologies.
Use EHR-CDS functions to create a medication report based on patient chart information.
Use EHR-CDS functions to assess potential contraindications, and warnings and precautions
information.
Competency 5: Evaluate data used for medical staff credentialing.
Describe a clinician’s role in overriding CDS system information.
Competency 6: Communicate effectively in a professional manner.
Write clear, well organized, professional documents that are generally free of errors in grammar,
punctuation, and spelling.
Follow APA style and formatting guidelines for citations and references.
Preparation
Independent Research
If you are less familiar with EHRs and CDS systems, you may wish to conduct additional independent research. The
suggested resources provide a good starting point. You may also wish to consult the Health Care Administration
Undergraduate Library Research Guide for research tips and help in identifying current, scholarly and/or
authoritative sources.
Instructions
Your third assessment consists of two parts:
Part 1: Complete these three EHR Go activities
These three activities form the bulk of this assessment:
For this first activity, you will use EHR-CDS functions to create a medication report based on patient chart
information. You will then use the created report to make recommendations about how to improve EHR-CDS
functions for more effective clinical decision making.
EHR Go: Medication Report.
Enter your answers for this activity directly into a Word document. Also, copy and paste the medication
report into the same Word document.
In the second activity, you will use clinical decision support functions, such as CPOE, to enter physician
medication orders.
EHR Go: Verifying Orders.
Add your answers for this activity directly into the Word document you’ve created for your EHR Go
activities.
In the third EHR Go activity, you will analyze a physician’s actions, document an EHR, and
recommend physician performance requirements for using EHR clinical decision functions. The
recommendations and standards will focus on physician order entry, medication warnings, and alerts.
EHR Go: Risks and Clinical Warnings
Add your answers for this activity directly into the Word document you’ve created for your EHR Go
activities.
Your third assessment consists of two parts:
Part 1: Complete these three EHR Go activities
These three activities form the bulk of this assessment:
For this first activity, you will use EHR-CDS functions to create a medication report based on patient chart
information. You will then use the created report to make recommendations about how to improve EHR-CDS
functions for more effective clinical decision making.
EHR Go: Medication Report.
Enter your answers for this activity directly into a Word document. Also, copy and paste the medication
report into the same Word document.
In the second activity, you will use clinical decision support functions, such as CPOE, to enter physician
medication orders.
EHR Go: Verifying Orders.
Add your answers for this activity directly into the Word document you’ve created for your EHR Go
activities.
In the third EHR Go activity, you will analyze a physician’s actions, document an EHR, and
recommend physician performance requirements for using EHR clinical decision functions. The
recommendations and standards will focus on physician order entry, medication warnings, and alerts.
EHR Go: Risks and Clinical Warnings
Add your answers for this activity directly into the Word document you’ve created for your EHR Go
activities.
You will create one document that contains your answers to each of the three activities. Remember to copy and
paste the medication report you created for the first activity into your document.
Part 2: Write a one-page reflection paper on the topics covered in the EHR Go activities
Be sure to address these three questions in your reflection paper:
What is the relationship between the three EHR Go activities you completed? In other words, how do the
concepts you learned relate to each other?
What were your two or three most important takeaways about the concepts of EHR accuracy and standards,
data mining, and legal and ethical considerations?
What is a remaining question you have about these concepts?
Reminders:
Your takeaways may be new information that you didn’t know before or they may confirm what you already
knew.
Be sure to include supporting examples in your reflection paper along with references to current, scholarly,
and/or authoritative sources.
Additional Requirements
Length: 1-page, double-spaced reflection paper.
EHR Go activities: Submit your completed EHR Go activities in a Word document. Remember to copy and
paste your medication report into this document.
paste the medication report you created for the first activity into your document.
Part 2: Write a one-page reflection paper on the topics covered in the EHR Go activities
Be sure to address these three questions in your reflection paper:
What is the relationship between the three EHR Go activities you completed? In other words, how do the
concepts you learned relate to each other?
What were your two or three most important takeaways about the concepts of EHR accuracy and standards,
data mining, and legal and ethical considerations?
What is a remaining question you have about these concepts?
Reminders:
Your takeaways may be new information that you didn’t know before or they may confirm what you already
knew.
Be sure to include supporting examples in your reflection paper along with references to current, scholarly,
and/or authoritative sources.
Additional Requirements
Length: 1-page, double-spaced reflection paper.
EHR Go activities: Submit your completed EHR Go activities in a Word document. Remember to copy and
paste your medication report into this document.
Font: Times Roman, 12 point font.
Writing: Create clear, well organized, professional documents that are generally free of errors in grammar,
punctuation, and spelling.
APA: Follow APA style and formatting guidelines for citations and references. This guide is a good APA
refresher: APA Style and Format.
Writing: Create clear, well organized, professional documents that are generally free of errors in grammar,
punctuation, and spelling.
APA: Follow APA style and formatting guidelines for citations and references. This guide is a good APA
refresher: APA Style and Format.