The Rise of Business Intelligence Software in Healthcare -

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EagleTech October 15, 2021 0 Comments

Implementing business intelligence in healthcare can help medical organisations to centralise their data stores, share reports among different departments, improve data security and open up new analytical capabilities. This, in turn, can allow them to map performance indicator KPIs, improve the quality of their services and deliver better patient outcomes. So, more healthcare providers are now using expert healthcare software development services to enable an integrated, data-driven approach to caregiving, which delivers a smoother patient experience and builds a larger degree of trust between patient and clinician.

Today, approximately 30% of the world’s data volume is being generated by the healthcare industry. By 2025, the compound annual growth rate of data for healthcare will reach 36%

 

– RBC Capital Markets

The healthcare analytics market is set to be worth US$50.5 billion by 2024, up from US$14 billion in 2019. So investment in business intelligence software is going to prove evermore crucial for healthcare organisations. But it’s important to note that most healthcare institutions are already using business intelligence tools within their operations. For example, data governance systems to ensure data security compliance and data analytics functionality. So the role of business intelligence software is to integrate these elements and provide a seamless, central point of access.

Use cases of business intelligence in healthcare

There are myriad use cases for implementing business intelligence (BI) tools within your healthcare setting, but a few core areas are:

  • Symptom-based treatment planning – intended to save time and get more patient throughput, thus freeing up clinicians from the task of manual planning.
  • Patient volume-driven staff management – real-time analysis of hospital infection rates, readmissions and staff shortages can help healthcare practises plan ahead and more effectively manage resourcing.
  • Alerting healthcare providers to what services patients need and thereby cutting repeat visits – clinical decision support (CDS) systems can help healthcare providers improve patient safety through various alerts covering things such as drug interactions and guidance on pharmaceutical dosing.
  • Tracking and identifying those who require follow-up appointments – to enable better communication between clinicians and patients while reducing instances of missed or delayed diagnoses.
  • Facility supply chain management – integrating data at key points in the supply chain can help healthcare organisations with procurement, sourcing and contracting, supply data management and value analysis.

 

 

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