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of quality data to support the information-intensive and information-reliant healthcare... of AHIMA [edit] Health information management's standards history is dated back to the...
of data with the aim of improving patient care. SNOMED CT... 2 The formal model underlying SNOMED CT 2.3 Description logics... development, quality assurance, and distribution of SNOMED CT...
Information Management Association (AHIMA) Social Determinants of Health Data: Survey Results on the Collection, Integration... and quality-of-life outcomes and risks."2 As part of its...
[3] SA and SD are displayed with structure charts, data flow diagrams and data model diagrams, of which there were many variations, including those developed by Tom DeMarco, Ken Orr, Larry...
MDM, SQL Server, Data Modeling, Data Integration, Data Quality, Data Management, Business Intelligence, Data Architect
safety and organizational compliance. ; Discuss two of the quality elements listed in your text book (in AHIMA's Data Quality ; Management Model on pages 157 - 159) that ensure appropriate data capture. In your ; response, be sure to address at least one of the following topics:
Among the most widespread coding systems are ; ICD-10-CM (the International Classification of Disease, Clinical Modification) for documenting injuries and diagnoses, specifically in medical claims; ; CPT (the Current Procedure Terminology) and HCPS (Healthcare Common Procedure Coding System) for reporting all types of healthcare services, both inpatient and outpatient; ; CDT (Code on Dental Procedures and Nomenclature) for documenting dental treatment; ; SNOMED CT (Systematized Nomenclature of Medicine – Clinical Terms) for capturing symptoms, clinical findings, family history, medical services, drugs, and other aspects related to the course of treatment;
*****-***@*****.*********.*****-***@ahima.org www.ahima.org 2... accuracy, quality, security, analysis and dissemination of... Clinical Data Management 17 “Health information management...
AHIMA’s board of directors and advisory councils extends our understanding of health information and empowers us to lean into the future and forecast where healthcare will move next.