Healthcare Dashboard Actions and their Characteristics

Dashboard Actions

When it comes to managing data in the healthcare industry, the more you know the better and the more tools you have to help you the better. One of the most important tools for managing data and information in a healthcare organization is Dashboards. Dashboard Actions have a variety of tools that help its users navigate it and use it to their benefit. 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.  A Dashboard action 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.

Aggregate Underlying Healthcare Dashboard Actions to Create the Executive Dashboard

Dashboard Actions

In order to have an effective dashboard that is also comprehensive, you must first aggregate other underlying dashboards into one. This bottom-up approach delivers an aggregated summary of key metrics from across the organization. Another approach that some healthcare organizations use it to use a top-down method executive dashboard. This is similar to a late-binding technique for example. The high-level reports produced lack an explanation of the underlying measures or the dashboards supporting them. It divorces the people accountable for improving performance from the measurement process. This top-down approach can lead to complications within an organization and lead to rushed decisions being made causing more mistakes to occur. Also, this approach is time wasting and delays healthcare personnel from being able to access data or information they need using the dashboard in a timely fashion.

Dashboard Actions

To avoid this rush and fire drill approach, executive dashboards and dashboard actions must be built from underlying departmental dashboards. An effective executive dashboard methodology is one where the departments who are accountable for the metric vet, approve and even produce the metrics that are aggregated into the executive version. This eliminates any disconnect between senior leadership and the departments who have the responsibility to drive performance improvement. It also ensures that supporting dashboards exist that enable department leaders to dive into the data, understand their metrics, and how they can best achieve them.

Five Characteristics of a Good Healthcare Dashboard

If a healthcare dashboard meet these requirements and have these characteristics, then you know that they are in good shape and will aid in the better running and good functioning of a healthcare organization.

Dashboard Actions

A Dashboard Should Be Easily Accessible

A good dashboard functions as a decision-support too and so it should be easily accessible to each user who will need to tap into its insights. If the information needed is not accessible when needed then health care workers and doctors cannot refer to it to make important decisions.

A Dashboard Should Display Reliable Data

If data is not reliable, then it is quite useless. Users need reliable, trustworthy data; if they don’t trust it, they won’t use it.

A Dashboard Should Contain Relevant Data

The data available should be relevant to the team or using it. For example, a dashboard in the pediatric department of a hospital should contain information about all the kid patients and also told to help pediatricians navigate it. In addition, a good decision-support tool should only contain the factors users need. If the dashboard can report on 50 metrics, but the user only needs five, the extra 45 metrics just clutter up the user’s abilities to focus on what’s important. It’s better to highlight five key metrics than water down the dashboard with 50 metrics.

Dashboard Actions

A Dashboard Should Provide Timely Data

A good dashboard needs to contain near real-time data. For example, it’s difficult for providers to follow up on why a patient treatment is outside a protocol if the data arrives weeks to months after the fact. But, if the provider or department can see near real-time information about a patient’s episode of care, it’s easier to intervene while the circumstances are still fresh in the team’s memory.