healthcare payer analytics

Healthcare Analytics for Payers

By | Healthcare | No Comments
No other industry can find more value in their data than healthcare. It’s the one industry that touches everyone. The actionable insights found in healthcare analytics lead to life-saving innovations. And this isn’t going unnoticed.

The $14 billion healthcare analytics industry is expected to reach $50 billion by 2024, and a recent study found that 83% of health insurance payers consider data and analytics a top priority in the coming year. This shift in strategic direction is good news for patients and providers. But for the payers, even though it’s a top priority, it’s also a huge undertaking.

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how healthcare analytics can help fight healthcare waste

How Healthcare Analytics Can Save the U.S. Billions

By | Healthcare
Did you know that $10,000 is spent on your health each year? But only about 75% of it is used on necessary healthcare processes. So what happens to that $2,500?

It’s wasted.

According to a recent study headed by Humana’s Chief Medical Officer, William Shrank, MD, the US health care system spends around 18% of its GDP on health care – about $10,000 per person. But it’s estimated that about 25% of that is wasted. That’s an estimated waste of $760 billion to $935 billion each year.

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what is healthcare analytics and why does it matter

Healthcare Analytics and Why It Matters

By | Healthcare | No Comments
The future of healthcare will be driven by digital transformation and data analysis. And the events of 2020 have only accelerated that change. For health CIOs, analytics solutions will be a top priority going into 2021, especially as health information systems seek to leverage Big Data to provide better care, prevent diseases, and optimize all areas of the care continuum.

As we go into a new decade, let’s go over the basics of healthcare analytics: what it means, what it can do, and how health systems can get started.

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Healthcare Business Intelligence

By | Healthcare
Healthcare is at a turning point. Changes in regulations and reimbursement models have shifted the focus of care from treating ailments to sustaining a patient’s well-being. For providers, the incentive not only lies in making you healthy but keeping you healthy.

And as care models have evolved, so has technology. The buzz of Big Data has matured into daily conversation. And for the future of healthcare, the new buzz word is interoperability.

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healthcare analytics saves lives

5 Examples of How Healthcare Data Analytics Can Save Lives

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William Bruce Cameron once famously wrote, “Not everything that can be counted counts, and not everything that counts can be counted.” And in today’s data-centric business landscape, maxims like this can be necessary reminders that it’s not the data that really matters, it’s what we do with it. But the parallel between what counts and what can be counted can sometimes converge – especially when it comes to healthcare data analysis. So here are five cases where healthcare data insight has led to meaningful action.

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pharma_bi

Pharma BI: Embedded Analytics for the Pharmaceutical Industry

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Big Pharma is only getting bigger. Along with healthcare services and medical equipment, the pharmaceutical industry is growing at an accelerated pace. By 2021, the market is estimated to reach $1170 billion globally. And a data-driven market such as healthcare has pharmacies and drug companies looking to embedded analytics to boost profitability, prescription volume, and patient health outcomes.

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questions to ask healthcare analytics companies

5 Questions to Ask Healthcare Analytics Companies

By | Healthcare | No Comments
Data is nothing without the ability to analyze and derive insights from it. And for the healthcare industry, analytics has become a necessity for improving operational efficiency, providing more accurate diagnoses, and managing population health. But due to the vast and complex nature of healthcare data, many health systems have been slow to adopt an analytics solution. Another reason is that the vetting process of healthcare analytics companies can seem endless. With so many options all with different features and promises, it’s difficult to know what will be the best fit for your specific system.

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5 Types of Healthcare Data for Population Health Management

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Not all data is created equal. And for population health management, the distinction between signal and noise – useful data and fluff – is more difficult to determine. That’s because by knowing how to leverage the right data sets, it can all become signal. But to do that, it’s important to know what each healthcare data set provides and what each one lacks for effective population health management.

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review of healthcare bi platforms

6 Healthcare Data Companies: An Honest Review

By | Healthcare | No Comments
According to the 2018 Bloomberg Healthcare Efficiency Index, the U.S. is one of the most inefficient healthcare systems in the world – ranking 55 out of 56 countries analyzed. But soon that will change. Data analytics has been listed as a top priority by healthcare CIOs for the coming years. And as one of the last major industries to adopt data analytics to drive operational efficiency, many health organizations are entering a maturing BI market. There are many healthcare data companies to choose from, all providing different services and features. And for any health organization, the size and complexity of healthcare data make it difficult to know exactly what your analytics needs will be.

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value-based care

Value-Based Care: Making Healthcare Data Analytics a Necessity

By | Healthcare | No Comments
Quality over quantity. It’s a simple idea, but one that is taking far too long to apply to our healthcare system. In the past, most health providers delivered care in a fee-for-service model. But in recent years, there’s been a shift towards value-based service. In 2017, 34% of healthcare payments were tied to value-based care. By the end of 2018, that number nearly doubled. It’s safe to say that we are in the midst of a significant shift in how we receive healthcare. And for providers, it’s making healthcare data analytics a necessity.

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