Business Proposal on Data Quality and Governance
Business Proposal on Data Quality and Governance
What does success mean in terms of data management? How do you know when you are using quality data for health informatics strategies? The answers to these questions lie in knowing the difference between data, information, and knowledge.
Put simply, data are facts, measurements, or characteristics of an entity or object. Used in the health field, they do not tell the whole story of a disease or condition without context. For example, demographics and physiologic measures such as blood pressure, weight, or blood glucose levels are examples of data. When data is put in its context, it becomes information. Nurses and physicians may use systems and processes to aggregate consumers’ demographics, and physiologic measures may be used in reports or mobile applications to follow up on treatment. These are examples of creating information from data. Once this information can be used to analyze the “why” and “how to” behind the findings, it becomes knowledge. In our example, if a nurse practitioner uses information in a consumer health report to improve the time and availability of hemoglobin A1c blood testing for consumers at risk of developing prediabetes, we move from the information stage into knowledge.
Even when health professionals using a health informatics strategy have successfully turned data into information and gained knowledge, it is not always clear when success has been achieved. For one thing, what kind of goal was set—financial success, clinical success, or perhaps both? Attaining both of these goals for all entities may be desirable, but not realistic. The data that inform these decisions related to quality care often reside in disparate electronic health record systems and databases. As chronically ill patients consume more healthcare services and visit different specialized providers, the amount and complexity of data as well as the tasks involved in managing to achieve financial and clinical success increase exponentially.
As evolving leaders in the field, it is your responsibility to work with colleagues to define success by way of establishing and leading organizations toward meeting those goals. The effective use of health informatics solutions is one of key success factors in achieving this.
For this Assignment:
To Prepare:
Read all Resources for this week including the Case Study: Data Quality, Informatics, and Population Health Management.
View the media, Analyzing Data for Clinical Success (Laureate Education, 2018a).
Study the AHIMA data quality principles and reflect on how they might apply in improving the condition of the PCP stakeholders.
Consider both the operational and technological aspects of your recommendations, with an emphasis on improving processes as well as informatics tools and data quality.
Consider both the clinical and financial outcomes that are desired by both the provider and insurance entity as well as the patient stakeholder in the case study. How might these outcomes be similar to other chronic conditions?
Take into consideration the workflow and data flow challenges between electronic health records in provider sites and repositories of claims-related data utilized by insurance entities.
Consider the following scenario, related to a different chronic condition, congestive heart failure (CHF):
Imagine that you are the leader of a healthcare provider organization and you are making a presentation to the Board of Directors on the challenges of coordinating chronic disease management activities with payers. You are asked by the Board of Directors to submit four recommendations as to how the organization can improve the success of the employed primary care provider (PCP) physician offices with regard to managing populations with congestive heart failure (CHF).
The Assignment:
Business Proposal:
Paper: 4–5 pages, excluding references and title page
PowerPoint: 3–5 executive-level slides
Submit a business proposal that includes the following:
Part 1: Introduction (1 page)
A clear and evidence-based statement of how you define both financial and clinical success with regard to chronic disease management of persons with CHF.
Part II: Body (2–3 pages)
A description of four recommendations (two financial and two clinical) of how to attain financial and clinical success in chronic disease management of persons with CHF (defined in Part I) using quality health informatics data. Include a brief description of the operational and technology-related impact of each recommendation.
An analysis of the impact of each of your four recommendations on the three stakeholders in the Data Quality, Informatics, and Population Health Management case study (i.e., PCPs, patient/consumers, and insurance entities).
Part III: Summary (1 page)
A summary of recommendations, including 3–5 AHIMA Principles that you feel govern your recommendations aimed at improving the management of populations of persons with CHF, as well as 2–4 scholarly sources to support your recommendations
Part IV: PowerPoint Presentation
Board of Directors PowerPoint Presentation: Executive summary slide and 3–5 slides to summarize recommendations with speaker notes.
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