Assignment 2 (6 Questions)
**Pay attention to the Assignment Grading Rubric found in the Assignment Resources folder in Getting Started section.**
Answer the following assigned questions based on the topics from Chapter 6 and 7 from your (Health Information Management : Concepts, Principles, and Practice) book.
1) Name three processes that you would expect to see in place for information integrity and quality in an organization with an EIM culture.
2) What is the purpose of “clinical analytics” or “business intelligence” solutions?
3) Describe the relationship between health data stewardship and information governance.
4) List the five stages of the information life cycle, and give an example of an information management function that might be performed for each.
5) What is the Foundation of Knowledge Model? (You may use external source only for this question for full points)
6) What’s the difference of between explicit knowledge and tacit knowledge. Give specific examples of explicit and tacit knowledge in healthcare. Why would it be important to manage these?
Please pay attention to the Assignment Grading Rubric:
- Note: Regarding Assignment 2, please incorporate “1 or more” external sources for every question answered for full points. (You may use your 2nd book as an external source)
- Minimum 500 words applies to the total minimum number of words for all the six questions answered within the assignment. Not necessarily minimum 500 words per question answered within assignment.
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- Do not copy the assignment questions into your answer file when submitting. This should help with keeping your TII below 20% threshold.
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Expert Solution Preview
Introduction:
In this assignment, we will explore the topics from Chapter 6 and 7 of the book “Health Information Management: Concepts, Principles, and Practice.” The assignment consists of six questions that require us to demonstrate our understanding of concepts related to information integrity, clinical analytics, health data stewardship, information governance, the information life cycle, and the Foundation of Knowledge Model. We are also required to provide external sources to support our answers. Now, let’s answer the questions.
1) Name three processes that you would expect to see in place for information integrity and quality in an organization with an EIM culture.
In an organization with an EIM (Enterprise Information Management) culture, we would expect to see the following processes for information integrity and quality:
a) Data Governance: This process involves the development and implementation of policies, procedures, and standards to ensure that data is accurate, complete, and consistent. It also provides guidance on the appropriate use of data and assigns responsibilities for data management.
b) Data Quality Management: This process involves the identification, analysis, and resolution of data quality issues. It also includes monitoring data quality performance and enforcing data quality standards.
c) Master Data Management: This process involves the identification, consolidation, and management of master data to ensure that it is accurate, consistent, and complete. It also includes the maintenance of a master data repository to facilitate data sharing and reuse.
2) What is the purpose of “clinical analytics” or “business intelligence” solutions?
The purpose of clinical analytics or business intelligence solutions is to support data-driven decision-making in healthcare organizations. These solutions provide insights into clinical and operational performance by analyzing data from various sources, including electronic health records, financial systems, and supply chain management systems. They help healthcare organizations identify trends, patterns, and opportunities for improvement. Clinical analytics solutions focus on analyzing clinical data to improve patient outcomes and safety, while business intelligence solutions focus on analyzing financial and operational data to reduce costs and improve efficiency.
3) Describe the relationship between health data stewardship and information governance.
Health data stewardship and information governance are closely related concepts. Health data stewardship refers to the responsible management of data throughout its life cycle to ensure its accuracy, completeness, and security. It also includes the identification of data owners, the establishment of data quality standards, and the development of data management policies and procedures. Information governance, on the other hand, refers to the overall management of information assets, including data, information systems, and technologies. It involves the development and implementation of policies, procedures, and controls to ensure the confidentiality, integrity, availability, and usability of information. Health data stewardship is a critical component of information governance, as it provides the foundation for data quality and security.
4) List the five stages of the information life cycle, and give an example of an information management function that might be performed for each.
The five stages of the information life cycle are as follows:
a) Creation: This stage involves the generation of new information, such as clinical notes, laboratory results, or financial reports. An information management function that might be performed at this stage is data capture, which involves the collection and inputting of data into an information system.
b) Processing: This stage involves the transformation of raw data into useful information, such as the calculation of clinical indicators or the generation of financial statements. An information management function that might be performed at this stage is data cleansing, which involves the identification and correction of errors and inconsistencies in the data.
c) Distribution: This stage involves the dissemination of information to authorized users, such as physicians, nurses, or administrators. An information management function that might be performed at this stage is access control, which involves the management of user accounts, passwords, and permissions to ensure that information is only accessed by authorized personnel.
d) Use: This stage involves the application of information to support clinical or administrative decision-making, such as the diagnosis of a patient or the allocation of resources. An information management function that might be performed at this stage is data analysis, which involves the use of analytical tools to extract insights and trends from the data.
e) Preservation: This stage involves the retention and archiving of information for future use, such as compliance, research, or auditing purposes. An information management function that might be performed at this stage is data retention, which involves the development and implementation of policies and procedures for the retention and disposal of information.
5) What is the Foundation of Knowledge Model? (You may use external source only for this question for full points)
The Foundation of Knowledge Model is a conceptual framework that explains the relationship between data, information, knowledge, and wisdom in healthcare. It was developed by Dr. Carrie Lenburg in 1999 and has been widely used in nursing education and practice. According to the model, data are raw facts and figures, information is data that has been organized, analyzed, and interpreted, knowledge is information that has been synthesized, integrated, and applied to solve problems, and wisdom is the ability to make good decisions based on knowledge and experience. The model emphasizes the importance of critical thinking, creativity, and lifelong learning in the development of knowledge and wisdom.
6) What’s the difference of between explicit knowledge and tacit knowledge. Give specific examples of explicit and tacit knowledge in healthcare. Why would it be important to manage these?
Explicit knowledge is knowledge that is codified, documented, and easily transferable from one person to another. Examples of explicit knowledge in healthcare include clinical guidelines, protocols, and standard operating procedures. Tacit knowledge, on the other hand, is knowledge that is based on personal experience, skills, and intuition. It is difficult to articulate and transfer from one person to another. Examples of tacit knowledge in healthcare include clinical judgment, intuition, and empathy.
It is important to manage both explicit and tacit knowledge in healthcare because they are both essential for quality patient care. Explicit knowledge provides a standardized, evidence-based foundation for clinical practice, while tacit knowledge provides the nuance, context, and intuition that are necessary for personalized care. Effective knowledge management can improve patient outcomes, reduce medical errors, and foster innovation and collaboration among healthcare professionals.
