Business Intelligence Software Engineer

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Business Intelligence Software Engineer – Learn why you need to implement a BI solution to analyze medical data and how it can improve your business operations. Also, get a list of the top five BI solutions to consider.

While collecting healthcare data in Excel spreadsheets may never go out of style, implementing business intelligence, or BI, in healthcare can be a breath of fresh air for your business and lead to more time- and cost-efficient data analysis. With business intelligence, you can reduce reporting times, generate business-critical insights at lightning speed, save on operational costs, and free up more time for core business activities like patient care and clinical trials. Furthermore, business intelligence solutions help you ensure business visibility by tracking relevant key performance indicators (KPIs) such as hospital profitability by region or city, patient visits by practice or hospital total visits.

Business Intelligence Software Engineer

In this blog post, you’ll discover how your medical practice can benefit from business intelligence and which BI data platform you can integrate to meet all your needs.

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Business intelligence tools are steadily gaining popularity in the healthcare industry. The success of one company convinces others to adopt the same solution. According to Statista, in 2016, the global market for clinical big data analytics was valued at just $1.65 billion, and it is predicted to reach $11.35 billion by 2025, with the value of big data analytics increasing by healthcare practices worldwide. Confirms that more is recognized. And there are no signs of this trend slowing down in the near future.

Unlike complex medical software solutions such as electronic health record (EHR) systems, BI software can often be used by all company employees without specialized training.

The greatest value of business intelligence for healthcare is the ability to visualize data on interactive dashboards that can come in a variety of forms, such as pie charts, bar charts, line charts, histograms, tables, and maps. Data visualization is basically the process of transforming raw clinical or patient data into insights that show how a certain metric (eg, company revenue) has changed over a specific period of time. Now that you know the key concept behind BI, let’s discuss what value BI solutions can provide to your business.

Business intelligence can be useful for healthcare organizations in a number of ways. Below we discuss some of them in detail.

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With the ability to collect and analyze vast amounts of cross-functional healthcare data, you can make data-driven decisions based on the latest status of your key operations. For example, you may find that you have undervalued your most revenue-generating services and not invested enough in marketing them. Advanced analytics also allow you to predict how your business performance might change over time by drawing on historical data. Thus, you can create a bigger picture of your healthcare organization’s operations from current and future perspectives.

BI can also help define more critical and less obvious barriers to healthcare practices. This gives you an opportunity to optimize your daily operations and answer the following questions:

Healthcare business intelligence allows you to analyze global healthcare trends or apply global healthcare statistics on patient care or drug utilization to keep your clinical practices up to date.

You can analyze feedback to meet patient or customer needs and be proactive when it matters most. For example, you can track patient wait times in your hospitals and immediately investigate if this metric exceeds a certain threshold.

Business Intelligence Software

Healthcare business intelligence can help you provide more personalized and coordinated patient care, as you can track your patients’ treatment progress, length of treatment, satisfaction rate, and many other practice-specific metrics. With these valuable insights, you can see how each of your patient groups is feeling and what you can do to improve their experience.

Modern healthcare business intelligence tools can gather vast amounts of data filed in different healthcare departments into one platform to give you a helicopter view of your business. A single healthcare practice may have more than 100 digital healthcare systems, each generating unique data that is largely used to meet the needs of a particular department. Imagine what would happen if you stopped confining this data to a single clinical facility and used it to generate valuable healthcare insights.

For starters, you can immediately gain a deeper understanding of your workflow and determine actionable data-driven actions to increase your overall business productivity and efficiency. Plus, you’ll be able to use your digital systems to their fullest potential by turning the raw data they produce into insights.

To achieve all these results, you need to integrate a robust data analytics solution that meets your industry standards. Let’s move on to a detailed investigation of top healthcare BI tools, starting with Tableau.

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Tableau is one of the most popular healthcare BI tools on the market. Healthcare users who have implemented it say Tableau is a feature-rich BI solution with a clear interface that allows them to create a variety of healthcare dashboards and provide all stakeholders with constant access to business-critical KPIs. Below are some of the unique features of Tableau that make this solution so popular.

Power BI is on par with Tableau in popularity and is also a serious competitor in the healthcare industry. With advanced analytics capabilities, this enterprise-level BI platform can handle large data sets and has versatile functionality. However, it may require additional training and can sometimes be overwhelming to use. However, there is no doubt that Power BI is an extremely powerful BI platform that can truly transform the healthcare industry.

The key feature of the Qlik Sense BI tool is that it is equipped with an associative engine, which allows you to analyze all of your healthcare data and observe patterns that may not be noticed when analyzing partial data sets. Here are some general features of Qlik Sense that can improve healthcare decision making.

Domo is a BI platform widely in demand among healthcare professionals. It may not differ much from its competitors in terms of features, but it provides a centralized low-code data analysis platform that makes healthcare data analysis easy for non-technical users. Let’s look at the common features that make Domo stand out from other BI tools.

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This cloud-based BI solution from Amazon has a pay-per-session pricing model that allows customers to pay only when they use the platform. Like the BI options discussed earlier, Amazon QuickSight can be embedded into any existing product or system and can collect data from many file types (CSV, Excel) and databases (MySQL, PostgreSQL, Amazon S3, Amazon Redshift). Below are some other unique features of Amazon QuickSight.

All of the business intelligence providers we’ve mentioned have expertise in the healthcare industry. Whichever of these solutions you choose, it should be able to satisfy most of your healthcare data analytics needs. However, if none of the solutions seem right for you, our team of IT professionals can help you find, integrate, test and build a unified source of truth for your specific business and transform the data obtained into customized actionable insights. . We conduct thorough market research, compare pricing models, go through several free trials with you and ultimately help you make the final decision that brings you the desired insights to increase revenue for your business, deliver coordinated and personalized patient care and retention. can be. Competitive in the market.

A key reason for the increasing adoption of BI technology among healthcare businesses is the need to make sense of increasing volumes of data. The more digital healthcare solutions healthcare businesses adopt, the more data is generated. And structuring this data, aggregating it in a single repository, and extracting valuable insights from it is becoming increasingly difficult. Also, BI is popular among healthcare businesses that are growing rapidly and expanding their reach into new markets.

To integrate the BI solution best suited to your healthcare workflow, we determine your core business objectives and needs. We conduct competitor and market analysis to define BI adoption rates in your specialization. Once we’ve determined the right solution and defined the KPIs and metrics you need to track – and the results you want to achieve – our BI technology experts will set up an end-to-end data analytics process for your company to help you generate actionable results. Only make decisions based on insights and data.

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Healthcare business intelligence has a wide range of applications. For example, healthcare professionals can analyze patient data such as lab results and medication intake to define treatment patterns, find correlations, and make changes. With BI healthcare tools, you can define how to optimize your daily workflow, reduce costs, ensure effective use of medical equipment, and increase medical staff productivity and patient satisfaction. Advanced analytics, including predictive and prescriptive analytics, can help you predict future trends and better prepare for changes such as higher patient demand.

Over 10 years of providing healthcare software solutions, we have established a robust BI data analytics pipeline for more than 20 healthcare practices. We always choose a unique integrated approach to make sure the chosen BI solution satisfies the core needs of the practice. Discover the key differences between developers and data engineers in these insights.

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