Best Business Intelligence Software For Healthcare – “I’m shocked to tell you: I read a free e-book from a company and I actually liked it.” – Mark, Data Engineer @wefox
Contributed by Ndz Anthony – 5X Certified BI Analyst and Freelancer. He enjoys educating people through writing pieces related to business intelligence, SAP Analytics, and corporate reporting.
Best Business Intelligence Software For Healthcare
Not to toot my own horn, but I’m a BI analyst with over 3 years of experience across multiple industries and a handful of BI projects.
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And somehow, at the time of writing this piece, I had never heard of the term “healthcare BI analyst.”
I recently thought it was permissible to add an industry name to a general job title to make it a specialization.
Let’s take ice hockey as an example. Hockey played on ice may be called “hockey” (to Canadians, perhaps), but more specifically, to the rest of us, it is “ICE HOCKEY”.
Similarly, BI analysts working in and specializing in the healthcare sector are called – you guessed it – Healthcare BI/Data Analysts.
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In this article, we want to explore the healthcare BI sector, discuss its characteristics and highlight the top 10 BI software used in the industry.
It’s no wonder that every patient care episode in a healthcare organization can generate a lot of information.
This information/data can take many different forms, from numerical information to free-form written comments by a medical expert to images and photographs.
A McKinsey & Company report on the expansion of big data in the healthcare industry had some takeaways to look out for:
Here’s How You Choose The Right Healthcare Bi Software (updated)
When it comes to the right data tools and practices, business intelligence – the data-driven process of understanding business operations – sounds like a good place to start.
According to Emergen Research, the global healthcare business intelligence (BI) market is expected to reach US$15.14 billion in 2027.
With a centralized BI portal and a team of qualified healthcare BI analysts, healthcare organizations can derive great value from patient data and, as a result, accelerate the decision-making process for patient care.
BI in conjunction with IoT provides easily accessible real-time patient dashboards in a way never before possible.
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Patients now feel connected to their healthcare and can trust and support the doctor or practitioner.
This helps promote transparency as it relates to the customer’s health status, and as a result positively impacts your customer’s (patient’s) satisfaction.
Unlike the traditional manual method of collecting physical copies of data and entering them into spreadsheets for analysis; (which likely resulted in data loss) BI provides the ability to store customer/patient data in structured and unstructured formats on-premises and/or in the cloud.
Data-driven BI has been said to facilitate advances such as triage, ie (sorting and assigning treatment based on disease severity).
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Healthcare companies that have been able to push the boundaries with BI and predictive analytics have been able to find hidden relationships in their datasets and predict likely cases.
A technical stack is a list of all the technology services used to build and run an application—the various components that make up a particular ecosystem.
For a typical healthcare suite, this might include things like electronic health records (EHRs), application program interfaces (APIs) for ordering lab tests, data management, reporting software, and other components.
If you’re new to setting up an analytics stack, check out our free guide to building a scalable and easy-to-maintain modern data stack.
Top 12 Bi Tools
If you’re a data analyst or in the healthcare industry, after reading this point you might be asking – yes, yes, BI in healthcare is great 🤔, but what are some of the most important features I should look for when choosing a BI tool?
I marched ahead and did a bit of research on this, and in that regard, I’d like to share some notable characteristics of a good healthcare BI tool.
(P/S: dbt Slack has a pretty strong community for data teams in healthcare – that’s where I get most of the knowledge used in this article. Join it here)
In an earlier article, we defined self-service as a business state. As true as this may be, the tools used in “self-service chat” should at least be low-code or non-technical business user/person friendly.
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Small and medium-sized healthcare may not have a lot of IT staff to hire IT resources, and larger ones use time = money underutilized.
Therefore, it is important to use BI tools with low/no-code functionality. Features that allow developers to quickly create dashboards, freeing them from having to code everything line by line.
The preferred BI software should allow the administrator to manage the number of users who have access to the stored data. Using a cloud-based model – for remote access and management – can also be a plus.
A good healthcare provider should also take security seriously and have the necessary compliance certifications (such as SOC2, GDPR or HIPAA) to show how they can protect your data.
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In today’s on-the-go work environment, it is essential that managers always have easy access to information wherever they are, on a variety of different devices such as mobile phones and tablets.
I studied a bit of psychology and neuroscience in college, and I know firsthand how scary medical data can seem. Without the right data tables, palettes, and visualization features, you can do more harm than good with poor healthcare visualizations.
When looking for a healthcare BI tool, make sure it comes with solid data visualization features to meet your data visualization needs.
We’ve covered the narrative of what to look for in a good BI tool in healthcare today.
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Is a powerful self-service analytics platform that provides BI teams with a centralized data modeling approach. With the application, data teams can create and manage a central definition of business metrics and data logic. Based on these pre-defined logics, business users can perform self-service data exploration, generate their own reports, and get accurate analysis without repeatedly involving data analysts.
Dashboards and data logic can also be serialized into code and checked into a Git version control repository for better maintenance and data management.
Not only because I’m a writer here, but provides a platform for non-technical users to create their own reports with simple visual report builders.
Some of our customers in the healthcare industry have rated us as their Bi Software. Check out a case study of how Aurora Health used better, more actionable insight into its processes.
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Take security and compliance seriously too – as it is SOC 2 Type II and GDPR compliant. One thing that you might find useful is that you don’t need to store your app user data (email, login details) for the app to work.
For more BI and analytics tool recommendations, see: 05 Best Self-Service BI and Analytics Tool Best BI Alternatives to Google Looker Best Embedded BI and Analytics Solutions 02. Precision BI
Precision BI is a company that provides customized BI tools for healthcare. Their products are very similar to healthcare standards and requirements like HIPAA – although they may not be as functionally mature as other modern BI tools. It’s hard to find a review of Precision BI online.
If you’re looking for a BI tool that’s highly relevant to healthcare standards, Precision BI might be a good fit.
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District Health Information Software is an open source health information management system according to Wikipedia. At its core, it is a data warehouse platform for reporting, analysis and data dissemination for all health programs.
With over 60 native apps that push and pull stored data and their widespread acceptance, it’s worth checking out.
Altair has a variety of data analytics/BI tools and offerings such as big data and data preparation. Their latest offering “Altair One” is a data mining and predictive analytics analysis tool.
Business and healthcare analysts will find this tool particularly useful for connecting and cleaning data from data warehouses, cloud applications, spreadsheets and other sources in a single interface.
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You can view this use case where Alpha Maxx Healthcare shows how it uses Alteryx to prevent preterm labor based on its data.
Power BI. Everyone has heard of Power BI. PBI is a business analytics solution that allows you to visualize your data and share insights across your organization. It is known for its advanced features like embedding and mobile dashboard viewing
Healthcare companies like INTEGRIS Health use Power BI for its embedded reporting flexibility and robust visual analytics capabilities.
Tableau is a data interpretation tool that provides a comprehensive visual BI and analytics platform. University of Utah U-Health shares their story of how predictive analytics helped them optimize telehealth revenue and balance critical care capacity in the era of COVID-19.
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If you’re struggling to find the right dashboards and charts to tell your healthcare stories, you should definitely give Tableau a try.
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