How is Big Data Analytics a Part of the 3P Healthcare Approach?

How is Big Data Analytics a Part of the 3P Healthcare Approach?

The Internet was already booming in the 21st century. But the number of connected devices has increased substantially to around 13 billion. Studies predict it will increase by two billion every year from now on. Isn't that amazing? With such a rise in connected devices, its impact on the increase in connected medical devices is relatively the same. Hence, healthcare monitoring is resulting in the volume of data. 

While that's an opportunity, it could be equally challenging for healthcare providers. But if you choose the 3P approach: Preventive, Precision, and Personalisation, you can take the customer experience to a new level. However, this approach will only be effective and efficient with big data analytics. 

Here's the breakdown of the 3P approach and how you can leverage big data at each level to improve the patient experience. 

3P Approach: Let's begin with Prevention Care

A lot of emphases is laid on reducing the impact of preventive care nowadays. Everyone wants to nip the issues in the bud itself. However, the healthcare system is quite complex and incorporates many stakeholders, which aren't limited to clinicians or patients. This is why there are varied types of data across the continuum of care. This is why the data must be stored, shared, and analyzed effectively. 

This is why using big data analysis is the foundation of preventive care. It enhances the data-related capabilities of healthcare providers. They can use it to support their large-scale goals and healthcare outcomes. Here's how it can be useful in making preventive care a blessing for millions of patients.

  1. It will help find gaps in chronic disease management care. Healthcare providers require various data to monitor the patient's health, provide resources, and analyze outcomes. Big data helps to bring the point of care into a single system. You can quickly identify high-risk patients and provide timely care to avoid the consequences. The usability is still on trial, but one can expect it to be a part of healthcare operations on a large scale pretty soon.
  1. It will be quite efficient technology to improve population health. With big data analytics, you can provide care when required, and care delivery will improve. You can use big data to understand patient metrics and create risk scores to improve the patient experience and outcomes. You can also build effective wellness and prevention strategies. 

3P Approach: Let's continue with Precision Care

The future of healthcare is only possible when you combine data analytics with precision care. That's the only way to improve patient outcomes. Despite recent advancements, some gaps exist in providing better precision care. 

To draw conclusions and put together preventive care methodologies or create new medications, the accuracy of the data matters a lot. But for that, you need to go beyond genetic data and explore non-traditional data. 

You need to include different platforms to provide a differential diagnosis. Here are some factors that come into play when gathering data for precision care. 

  • EHR: This is a widespread application where you get data related to medical history, demographics, lab tests, allergies, medicines, and so much more. 
  • Personal health records: This is the collation of health-related information shared by different healthcare providers. You can access them using cloud technology, which is accessible by the patient itself.
  • Social networking platforms: You can take advantage of the personal health information that the patients post online. You can find data on lifestyle choices, sleep patterns, dietary habits, etc. 
  • Patient-generated data: Precision is only possible when you can take into account data gathered by the patient, including blood pressure levels, glucose levels, and other variables collected using wearables. 

This could be beneficial and have a role to play in predictive analytics. However, precision is the first step in analyzing large volumes of data and making predictions. 

3P Approach: Let's make it happen with Personalization Care

Data science looks promising since it enhances the patient-focused medicine approach. Thus, it results in cost-effective drug discovery and doesn't stay there. But it advances patient outcomes, care, and delivery of care. Let's take a few examples to understand more. 

  • Large pharmaceutical companies like Merck and Co. Inc. and Mayo Clinic are analyzing data to gather new insights. Many tech giants are joining hands with AI service providers to alert healthcare workers about hospital events to avoid loopholes in patient care.
  • Another company, Johnson & Johnson, uses data to intercept the onset of many deadly diseases. It is leveraging data science in clinical trials and offering personalized solutions for people globally. 
  • Another company will provide medical-grade and cost-effective solutions to people with type 1 and type 2 diabetes or pre-diabetic states. It will help them monitor different enzymes and glucose levels for better solutions. 

Big data in healthcare will completely revolutionize healthcare data and its usage in providing better healthcare services. You can gather information from different sources and make decision-making relatively easier. It will help you structure and devise strategies that offer better precision and are effective in providing better and effective preventive and post-healthcare measures. In short, you increase the effectiveness of offerings and result in better patient care management. 

Final Words: Leverage the Applications of Big Data to Take the 3P Approach to New Level

If you expand your diagnostic part of healthcare, it is better to have access to the data from every source and provide medical care based on all the data. However, you must know how and when to use the data to leverage it for your customer experiences. This is the only way to make it better and more patient-centric. 

That's how you can stay competitive in this cut-throat competition. It's time to fuel the big data revolution and imbibe it in your 3P approach for a better healthcare offering that will help you reduce healthcare costs and improve healthcare offerings. 

But it will still require stakeholders and payers along with government policy makers to innovate and reinvent the performance of systems. What next? It’s time to connect and find out more using the latest market research approach.

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