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Posted: April 10th, 2022
Unit 4 assignment HI300 Information Technology and Systems for Health Care
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AHIMA CEE Curriculum Mapping
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| Domain | Subdomain | Competency |
| Domain I. Data Content, Structure & Standards (Information Governance) | Subdomain I.A. Classification Systems | 1. Evaluate, implement and manage electronic applications/systems for clinical classification and coding |
| Domain I. Data Content, Structure & Standards (Information Governance) | Subdomain I.A. Classification Systems | 4. Evaluate the accuracy of diagnostic and procedural coding |
| Domain I. Data Content, Structure & Standards (Information Governance) | Subdomain I.C. Data Governance | 4. Advocate information operability and information exchange |
| Domain I. Data Content, Structure & Standards (Information Governance) | Subdomain I.D. Data Management | 2. Evaluate health information systems and data storage design |
| Domain I. Data Content, Structure & Standards (Information Governance) | Subdomain I.D. Data Management | 3. Manage clinical indices/databases/registries |
| Domain I. Data Content, Structure & Standards (Information Governance) | Subdomain I.D. Data Management | 5. Evaluate data from varying sources to create meaningful presentations |
Assignment Requirements
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Instructions
Imagine that you are the Director of Health Information for a large hospital. As Director, you sit on various institution-wide committees which govern the organization’s policies. You have seen issues arise that cause you to propose changes in policies, procedures and operations across the hospital. Therefore, you have decided
to create a proposal to the CEO and Board of Directors, which you will develop in collaboration with committee teams. Please follow the instructions below in completion of this assignment.
| Part | Competency Assessed |
Instructions |
|
1 |
Evaluate, implement and manage electronic applications/systems for clinical classification and coding |
Select two (2) applications/systems for clinical classification and coding (e.g., encoders, computer assisted coding (CAC), etc.) and appraise each vendor in terms of (1) capacity to evaluate quality coding practices, (2) possible implementation considerations/issues, and (3) systems management challenges and training needs. Provide support for one system that you find as the "best option" with rationale. |
|
2 |
Evaluate the accuracy of diagnostic and procedural coding |
Consider the principles and applications of classification systems (e.g., ICD-10, HCPCS) and medical record auditing used within a clinical documentation improvement (CDI) program. Appraise the value and challenges of a quality CDI program by defending the need for ongoing CDI program support and critique at least three (3) challenges in the CDI process. Make connections between auditing, accurate diagnostic and procedural coding with classification systems, and CDI programs. Your executive summary should reflect upon the need for CDI and best practices for ensuring compliance. |
|
3 |
Advocate information operability and information exchange | Critique one interoperability issue that is possible within the health information exchange (HIE) (e.g., patient identity matching). Appraise at least three (3) best practices that address the issue. |
|
4 |
Evaluate health information systems and data storage design |
Evaluate at least three (3) health information systems (HIS) and three (3) data storage designs (e.g., onsite, cloud). Select the best HIS and data storage design for disaster recovery purposes. Indicate your selections with rationale. |
|
5 |
Manage clinical indices/databases/regist ries |
Evaluate three (3) managerial challenges related to clinical indices, databases, and registries from the perspective of a hospital's health information management function. Recommend three (3) best practices or policies related to the management of secondary data sources. |
|
6 |
Evaluate data from varying sources to create meaningful presentations |
With respect to data warehousing, appraise at least two (2) approaches in data warehouse design that supports quality data management from varying sources, processing/storage of data throughout the warehouse model, and meaningful output into the presentation layer. Summarize your recommendations in the executive summary. |
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