We're the top company on Modern Data Stack! Give us an upvote here.
bubbles svg

Cloud Data Viz and Analytics Health Check

Uncover the fitness of your Cloud Data Viz & Analytics

Get my free score

How to Build a Healthcare Data Analytics App with Astrato

Ready to get started with data visualization and embed analytics across your organization but aren’t quite sure where to start? This one’s for you. 

In this article, we’ll examine typical use cases for data analytics apps in healthcare settings and how you can get started with building them using Astrato. Read on to learn more about building stunning dashboards and data apps that reveal hidden opportunities to improve patient outcomes with cutting-edge Clinical Intelligence.

What is a data analytics app?

“Data Apps” are a catch-all term for software that generates actionable insights about important and ongoing organizational processes. Data Apps become a unified resource that helps organizations discover, test and learn in new ways through data visualizations and other analytics support.

For example, businesses tend to use Data Apps to track KPIs like inventory levels, revenue, and completed deliveries. As a result, they can streamline internal processes to reduce costs, improve collaboration and gain real-time feedback on their strategy. However, the possibilities with Data Apps are unlimited; all you need are the right tools and the data to set them up. 

Healthcare organizations, in particular, stand to gain a lot from adopting Data Apps. By aggregating information from across your data warehouse (including patient data) into a centralized data analytics platform, you can gain more visibility over how resources are being used and uncover actionable insights to improve patient care.

This potential is why the share of businesses using data analytics solutions has risen from 3 in 10 in 2008 to 7 in 10 today. Adopting healthcare analytics solutions today can help give your organization a crucial edge it needs to thrive and transform patient outcomes at the same time.

In fact, Data Apps are just the beginning; by embedding analytics solutions across their organizations, healthcare providers, insurers and other industry players can access real-time insights to improve patient outcomes. We discuss use cases for data apps in the healthcare industry in more detail below, but you can also learn more about embedded healthcare analytics in our dedicated article.

What are the use cases for data analytics apps in healthcare? 

Data Apps have a theoretically limitless number of potential use cases – the only factors acting on it are which platform you’re using and the data you wish to present. 

For example, senior managers within healthcare organizations can build Data Apps to track important business metrics, like the number of new appointments and the gross profit margin per appointment. On the other hand, clinical leads can use Data Apps to measure more operational data, like staff-to-patient ratios as well as the average patient wait time or time to discharge.

What’s more, with predictive analytics tools, you can even forecast what your organization’s performance will be and plan accordingly. For instance, healthcare providers can determine patient numbers ahead of busy periods, like flu season, and plan staff rotas to maintain a consistent level of patient care. And so, you can clearly see how Data Apps offer actionable insights to staff members across your healthcare organization. 

How to build a healthcare data analytics app 

Step 1: Consult various stakeholders 

The first step when building a data app is learning your team’s priorities. Specifically, what data they need and whether an out-of-the-box or in-house solution is best.

As an example, one of the easiest Data Apps for healthcare providers to build is a dashboard that visualizes the demand for resources, like the number of occupied hospital beds or medicine inventory. Out-of-the-box software packages like Astrato are probably best for this use case as they’re user-friendly and quick to deploy.

Step 2: Build data flows to visualize your data

Once you’ve chosen your preferred platform, you’ll need to set it up and establish the data flows to feed it (this is what allows you to access healthcare analytics and generate actionable insights).

This step is probably the most important one, since it’ll impact how accurate your dashboards are and how much you can rely on them, so find ways to make it easier. For instance, Astrato’s cloud-native architecture simplifies this process compared to other available data solutions since it integrates seamlessly with your wider IT environment.

Step 3: Launch your data app with existing workbooks

Once you’ve got your analytics platform running and your data ready, start building your Data App with existing app templates, so you can launch it faster. From here, you can experiment with different formats to bring key insights to life easily. 

Of course, picking the right platform is important since no two platforms are created equal. For example, Astrato’s low-code UI means you can quickly build data apps and explore new options for your healthcare analytics. What’s more, the Writeback feature lets you contextualize data and share updates with colleagues easily. While other platforms come with similar features, you can deepen your organization’s Clinical Intelligence by championing your user’s experience and enabling innovation.

Step 4: Embed your Data App

Finally, to fully maximize your Data App’s potential, make sure to embed it across your organization. This means placing it within your most used pieces of software, so your colleagues have instant access to the vital insight they need. In particular, try to embed as many Data Apps and dashboards across your organization as possible, to truly empower your team with actionable steps to enhance patients’ outcomes and level of care.

How to get started with building Business Apps with Astrato

Astrato’s powerful data visualization platform offers healthcare organizations easy-to-use and scalable tools to access new heights of Clinical Intelligence. The streamlined UI and cloud-native architecture means users from all walks of life can build, access and utilize Data Apps quickly and effectively.

From improving resource allocation to communicating ongoing issues and forecasting clinical needs, Astrato can transform patient outcomes for the better. Learn more about the potential of data-driven clinical practice in your organization by booking a demo today.