Exploring the modern use cases of healthcare analytics

16 June 2022

Exploring the modern use cases of healthcare analytics

With a wide range of tools, healthcare analytics promises to bring a suite of innovative tools to aid patient care, clinical decision-making, and operational efficiency throughout the private and public health space – and these advances are only growing.

What was once an industry reliant on retrospective manual data entry is now a flourishing landscape beginning to realise the benefits of critical tools like predictive and Big Data analytics, automation, and data visualisation for both professionals and patients.

We’re exploring the modern use cases of healthcare analytics and investigating the tangible value they can bring to users and public health across the industry below.

Examining trends and injecting efficiency with big data analytics

Big data healthcare analysis can guide users to uncover meaningful intelligence that can enact positive change throughout the entire healthcare system. Using historical medical data and analytical tools, users can home in on specific pain points in search of optimisation.

For an example of this in action, we can turn to analysing the journey of a patient through A&E. Here, users may investigate specific touchpoints, alongside how they affected their journey in search of greater areas of improvement.

Tying this insight back to other factors such as location or demographics can also equip users with a strategic perspective – leading to further improvements.

If, for example, big data analysis uncovers that on similar days, the average wait time for elderly patients with similar health data is vastly different in the same conditions and for similar health conditions for two separate healthcare facilities, it may indicate the need for improvements or further enquiries.

Alternatively, big data can be used to dive into previously unseen trends in the medical records of certain demographics to uncover possible correlations and more – such as symptoms or health issues that are regional-specific (temperature-based, for example).

To learn more, why not read our full guide on the advantages of big data analysis?

Enabling a preventative stance with predictive analytics

For professionals in the healthcare industry, being equipped with preventative data and enabling a proactive viewpoint can offer a wide array of strategic advantages.

It can ensure that the correct number of staff are posted to deal with necessary demands, and it can ensure that the medication needed is close by for efficient services.

With machine learning tools and other analysis solutions, this viewpoint can be fully realised, allowing teams to begin to proactively identify and uncover:

  • Are there any upcoming factors such as weather conditions that may cause a strain on healthcare services?
  • Will a rise in demand in one particular health care sector cause a risk to our services
  • Do historical trends and predicted outcomes align with projected upcoming threats?

Beginning to realise the answers to these questions allows users to become aware of potential future demands and threats to facilitate a more proactive response.

If, for example, historical and predicted data demonstrates that a rise in pollen count may cause an increase in severe hay fever cases, spreading awareness through communities and pharmacies may decrease hospital admissions. This will free up services for those in critical need of medical care while treating symptoms before they become too harmful.

Learn more about the advantages of predictive analytics, and its cutting-edge next stage, here.

Gaining a holistic overview with data visualisation

For teams under pressure throughout both public and private healthcare sectors, enabling at-a-glance insights with secure results can bring significant advantages and time savings.

While the realm of data visualisation isn’t new, the sophistication of reports on offer, and their potential to aid users across almost any industry, continues to evolve. Now, users can gain access to a holistic overview for enhanced awareness and monitoring for a range of use cases.

For example, clinical nurses may access enhanced insights on a patient’s current status and next steps, and high-level stakeholders such as hospital managers may explore a 360 view of hospital-wide operations, viewing data such as that on areas under significant pressure, and real-time A&E demand.

This holistic view of operations promises to increase not just the efficiency, but the realisation of a data-driven culture throughout the medical space. What’s more, by combining this approach with streaming and historical data, users can make more strategic and elevated insights than ever before.

Empowering staff with automation

Another core benefit that goes hand in hand with data analytics in healthcare is the potential for automated processes.

Freeing up time for personnel to complete vital work in a notoriously fast-paced and challenging environment, automation can facilitate the completion of manual processes such as clinical coding, the drafting of discharge summaries, and assessing of medical imaging,

With data management processes pre-established, these automated tools will run off secure and reliable data for accurate results while limiting the need for manual entry where possible.

Looking to the future of healthcare analytics

As we look to the future of analytics in the healthcare sector, we expect to see a continued prioritisation of tools designed to enable greater efficiency, accuracy, and prevention where possible.

With emerging data science trends becoming more and more commonplace, it’s invigorating to see the great potential for analytics to empower fundamental assets throughout public and private healthcare offerings.

At DataShapa, we’re committed to enabling a wide range of industries and enterprises to realise the many advantages of adopting a strategic approach to data analytics – from retail to healthcare and offer a comprehensive suite of services designed to empower your architecture.

To learn more about how we’ve previously helped those in the healthcare industry, read our full case study here. Or, to begin your journey to advanced data-driven solutions, why not get in touch today.

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