Healthcare
Dashboard Examples

Healthcare Analytics
Dashboard

The healthcare industry always has to handle very large data, which is why many healthcare organizations are using business intelligence solutions to manage operational efficiency and resource management. This sample healthcare data analytics BI dashboard shows you how easy it can be to report the number of occupied beds, and understand the bigger picture of healthcare delivery to make better decisions. View and compare valuable healthcare analytics examples like the number of admissions, cost, diagnosis by department division and more, all in one place.

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Hospital Performance Dashboard
Dashboard

In order to improve the operations and quality of care, hospitals take advantage of Sisense to monitor key metric across all departments. Monitoring the patient satisfaction provides a way to measure the performance of the doctors working in the hospital as well as the overall quality of each division.

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MD Dashboard
Dashboard

Medical centers provide a wide range of procedures for patients who are referred to the center by their medical doctors (MD). One of the key factors for growth and revenue is the number of referrals the medical center gets, and it is directly affected by the number of referring MDs and the number of referrals each MD provides.

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Physician Allocation
Dashboard

In order to avoid delayed treatment, inappropriate appointment setup, increased wait time and patient dissatisfaction it is important to analyze our health care plan physicians allocation.

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Hospital Donations
Dashboard

As many hospitals base their budget on donations, it’s important to track trends to better plan for the next annual budget and to find ways to increase the engagement of the donors and ensure financial stability. If the donated amounts are not expected to change dramatically, it’s more important to analyze the retention level of the donors and find ways to engage more donors in the program.

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Insurance Claims
Dashboard

For insurance companies to stay profitable, they need to keep constant track of the claims being made for their different policies. This can enable them to adjust premiums for policies that have a high claim ratio or even add new policies to help reduce premiums for clients. In addition, identifying the amount of claims per customer, per policy, can help insurers offer cheaper premiums that both the customer and the insurance companies can gain from. This is where the insurance analytics dashboard comes into play.

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Patient No-Shows
Dashboard

A common problem in outpatient practices is no-shows and late cancellations. This results in:

• A decrease in efficiency, as the registrar must now spend time rescheduling patients
• A decrease in revenue for the practice, as the provider loses out on billable time
• Other patients having to wait longer for available appointments

What if we could use analytics to take a proactive approach and help predict when a patient may not show (or cancel last minute)?

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