Access Your Case Study Links To An External Site

Access Yourcase Studylinks To An External Sitethe Three Business

Access your case study (Links to an external site.) . The three business goals for the data warehouse in the case study are: Improving the patient experience of care (including quality and satisfaction) Improving the health of populations Reducing the per person cost of healthcare The case study concentrates on the advantages and disadvantages of different architectures for data warehouses. In addition to architecture, the data analyst must also determine what data to capture in the data warehouse to achieve the business goals. For example, one way to improve the patient experience (the first business goal) could be to reduce waits times for appointments. In order to understand what causes wait times, data about the scheduled start time, actual start time, scheduled end time, actual end time, availability of the doctor, and reason for the appointment would have to be analyzed in the data warehouse.

Other ways to improve the patient experience could include: getting the diagnosis right the first time, knowing the cost upfront, avoiding second appointments with specialists, providing supplemental information for patients to read at home, etc. Each of those improvements would require different types of data in the data warehouse. Your assignment is to specify at least one improvement for each of the three business goals above. For the improvement you identify, indicate what specific data would have to be stored in the data warehouse to analyze ways to achieve that improvement. Also specify how that data would be obtained.

Your paper should be 1 – 3 pages in APA format. Include at least one paragraph for each of the three business goals above. Submit your MS Word document via the assignment link. Resources: Textbook: Module 13 – Business Intelligence and Data Warehousing Video: Module 13 – Introduction to Data Warehousing (5:27 min.) PowerPoint: Module 13 Review charts

Paper For Above instruction

Implementing an effective data warehouse in healthcare settings is crucial for advancing operational efficiency and improving patient outcomes. The strategic alignment of data collection and analysis with specific healthcare objectives allows organizations to tailor interventions appropriately. This essay discusses pertinent improvements aligned with each of the three core business goals: enhancing patient experience, improving population health, and reducing healthcare costs. Moreover, it identifies the specific data necessary for these improvements and elucidates methods of data collection to support data-driven decision-making.

Improvement to Enhance Patient Experience

One significant improvement to enhance the patient experience involves reducing wait times for appointments. Long waiting periods often result in decreased patient satisfaction and may adversely affect health outcomes. To address this, the data warehouse should store detailed scheduling information, including scheduled start and end times, actual start and end times, doctor availability, appointment reasons, and patient no-show rates. This data facilitates analysis of factors contributing to delays, such as overbooking or limited provider availability. Data can be obtained from the healthcare facility’s appointment scheduling systems, electronic health records (EHRs), and patient check-in logs. Analyzing this data allows administrators to optimize scheduling practices, allocate resources more effectively, and implement policies that minimize wait times, thereby improving overall patient satisfaction.

Improvement to Improve Population Health

Enhancing the diagnosis process to ensure accuracy on the first attempt can substantially improve population health by enabling timely and correct treatment interventions. The data warehouse should capture patient diagnostic histories, laboratory results, imaging reports, and physician notes. Additionally, data on patient demographics, risk factors, and prior health issues should be incorporated. Data sources include laboratory information systems, radiology systems, and clinical documentation within the EHRs. By analyzing patterns in diagnostic accuracy and identifying common misdiagnoses, healthcare providers can develop targeted training programs, refine diagnostic protocols, and deploy decision-support tools. These improvements help prevent disease progression and reduce the need for repeat testing or treatment, thus fostering better health outcomes at the population level.

Improvement to Reduce Healthcare Costs

To reduce the per-person cost of healthcare, implementing preventative care programs and promoting early intervention are vital. The data warehouse should include data on preventive screenings, vaccination records, lifestyle risk factors, and patient adherence to treatment plans. Data can be collected from preventive service records, pharmacy databases, and wellness programs. Analyzing this information can reveal gaps in preventive care and identify high-risk populations that need targeted interventions. For example, data indicating poor adherence to medication or unhealthy lifestyle choices can guide cost-effective outreach programs. These strategies decrease the need for more expensive emergency or specialty care by addressing health issues proactively, thus lowering overall healthcare expenditure.

References

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• Inmon, W. H. (2005). Building the data warehouse. Wiley.
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