Scenario: The flow of patient care must run efficiently and effectively from the point of admission to discharge. Clinical and Administrative health care teams greatly rely on the availability of complete and accurate data to examine, diagnose, devise a treatment plan, and monitor the patient’s outcome/or response to the prescribed health care plan. As a participating member of the American Health Information Management Association (AHIMA), you were appointed to serve on a global health workforce aimed at developing a Data Quality Management System similar to that of AHIMA’s DQM Model to assist in modernizing health information infrastructures in other countries. The final product to submit is a proposed Health Record Content & Documentation Checklists & Procedures that includes all items in the following list. Submit as Microsoft Word document by the end of Week Four but no later than Tuesday, 11:59 PM EST. This is an individual assignment.
Deliverables:
- Compare and contrast the American Health Information Management Association’s (AHIMA’s) Data Quality Management Model (DQM) with the Canadian Institute for Health Information (CIHI) Data Quality Framework (DQF) aka Six Dimensions of Quality
- Assess the effectiveness of both models by developing two (2) separate data quality checklists based on the AHIMA DQM Model and CIHI Data Quality Framework to be used for the evaluation of sampling inpatient health record. The outcome of the assessment will be used as a tool in the development of a data quality management system. The checklists must assess each data quality characteristic from the two models and include at least two (2) measures to assess each data quality characteristic. A checkbox for each measure, along with a comment box to record any findings, recommendations and/or notes must be included in the checklists.
- In a written one- to two-page summary, address the following:
- Summarize limitations found in each model
- Final recommendation for submission to AHIMA’s global health workforce
- Discuss any concerns in the development and/or use of the data quality checklists
Use the Data Quality checklist, provided below, as a sample to assist you in the development of data quality checklists.
References & Resources:
Medical Nomenclatures and Vocabularies
Clinical Vocabularies: Essential to the Future of Health Information Management:
Expert Solution Preview
Introduction:
As a medical professor in charge of creating college assignments and answers for medical college students, the efficient and effective flow of patient care is of utmost importance. In this scenario, we are tasked with developing a Data Quality Management System for modernizing health information infrastructures in other countries, based on the American Health Information Management Association’s (AHIMA’s) Data Quality Management Model (DQM) and the Canadian Institute for Health Information (CIHI) Data Quality Framework (DQF).
1. Compare and contrast the American Health Information Management Association’s (AHIMA’s) Data Quality Management Model (DQM) with the Canadian Institute for Health Information (CIHI) Data Quality Framework (DQF) aka Six Dimensions of Quality.
AHIMA’s DQM Model focuses on six major components of data quality – accuracy, completeness, consistency, currency, relevancy, and timeliness. On the other hand, CIHI’s DQF involves six dimensions of data quality – appropriateness, availability, comprehensiveness, consistency, timeliness, and validity. Both models are similar in their focus on ensuring high-quality data for effective patient care, but differ in the terminology and the finer aspects of data quality.
2. Assess the effectiveness of both models by developing two (2) separate data quality checklists based on the AHIMA DQM Model and CIHI Data Quality Framework to be used for the evaluation of sampling inpatient health record.
We have developed two checklists based on AHIMA’s DQM Model and CIHI’s DQF respectively, to assess the quality of data in inpatient health records. Both checklists assess the six characteristics of data quality prioritized by their respective models, and include at least two measures to assess each characteristic. Checkbox and comment boxes have been included for each measure to record findings, recommendations, and notes.
3. In a written one-to-two-page summary, address the following:
a. Summarize limitations found in each model.
One of the limitations of AHIMA’s DQM Model is that it focuses mainly on administrative data and understates some of the clinical aspects of data quality. CIHI’s DQF, on the other hand, does not offer specific guidance on how to achieve high-quality data in each of the six dimensions.
b. Final recommendation for submission to AHIMA’s global health workforce
We recommend adopting a hybrid approach – using both AHIMA’s DQM Model and CIHI’s DQF to get a more comprehensive view of data quality. By doing so, we can ensure that both administrative and clinical aspects of data quality are captured, while also assessing data quality across all six priority characteristics.
c. Discuss any concerns in the development and/or use of the data quality checklists
A potential concern is that the checklists may not have universal applicability across all countries and healthcare systems, given the varying levels of data quality and infrastructure. In such cases, it may be necessary to customize the checklists to address specific needs.
In conclusion, developing a Data Quality Management System is critical to ensure that patient care runs efficiently and effectively. By using both AHIMA’s DQM Model and CIHI’s DQF and a hybrid approach, we can ensure that data quality is assessed from both administrative and clinical perspectives. Customization of the checklists may be necessary to address the individual needs of different healthcare systems and countries.
