Data Analytics and the Fight Against COVID-19

The COVID-19 pandemic has sent shockwaves through the medical community by putting extreme stress on the information technology capabilities of health systems. Before March, hospitals were moving slowly in the direction of data literacy and EHR flexibility, but the health crisis has drastically increased the need for health systems to be able to take in and interpret large amounts of population data. The turn towards data literacy has been dramatic and sudden. Here are the specific ways strong data analytics can be used to combat the pandemic.

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Healthcare Technologies Set to Break Out as a Result of Pandemic

Doctor consider coronavirus covid-19 technology concept, Abstract healthcare, Medicine doctor look virus spreading on tablet blue background, Corona virus outbreak and global epidemic virus, 3D virusA pandemic lights the fire for change at a health system in a way that no other entity could ever accomplish. For years, experts have been calling for greater data integration and implementation across health systems. Now that caregivers have been forced to socially distance themselves from patients, the call has been answered in ways that were previously unheard of in the world of health data analytics and telehealth communication.

The prevalence of smarter and more data literate hospitals means that patients receive a safer and more personalized experience with healthcare. But let’s back up a minute to see how health systems have changed in the last four months and how data integration is key to all of these initiatives.

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Empathy in Healthcare: Why It’s Needed Now More Than Ever

In a world of ever-changing, advanced technology, face-to-face conversation as well as empathy and compassion may be fading away among individuals. However, one place that empathy and compassion must not fade is within the healthcare industry.

In this blog post, we’ll discuss the topic of empathy in healthcare, and the main takeaways from episode 1 of the Smarter Healthcare podcast: Empathy in Healthcare with Chris DeRienzo, MD, MPP. DeRienzo is the author of “Tiny Medicine” a book in which he shares the lessons he’s learned as a neonatologist.

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Customer Spotlight: How Hospital de la Concepción Is Using Analytics to Quickly Respond to COVID-19

COVID-19 has presented hospitals with challenges unlike anything ever seen before. Not only do hospital staff need to understand how many and which patients have tested positive for COVID-19, but they also need to understand local trends for capacity planning and resource utilization, as well as finances for reimbursement.

In Puerto Rico, as in other areas of the United States, there are questions about the number of COVID-19 tests being conducted and whether there are enough, as well as the consistency of reporting numbers to the government. Hospital de la Concepción, based in San Germán, is a world-class hospital in southwestern Puerto Rico that is using Dimensional Insight in its effort to respond to the challenges from COVID-19. Let’s take a look.

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How the COVID-19 Pandemic Is Affecting Children’s Hospital Operations

We’ve all heard that COVID-19 generally does not affect children as much as it affects adults. Which means children’s hospitals aren’t as affected by the pandemic as adult acute care hospitals are, right? Wrong.

The COVID-19 pandemic has upended the good work being done at pediatric institutions across the country. In this blog post, we’ll examine some of the challenges children’s hospitals are facing, and see how healthcare analytics can help out. (more…)

How Analytics can Help Hospitals Better Manage their ICUs

For the past few weeks, hospital intensive care units (ICUs) have been at the forefront of conversations surrounding hospital readiness and capacity during the COVID-19 pandemic. It’s critical for hospital administrators to understand capacity and resources in order to provide high-quality care to patients.

ICUs have a unique set of challenges due to the acuity of patients, the types of resources needed (such as ventilators), and higher per-patient levels of staffing and necessary specializations. An analytics platform can help give insights into these challenges. Let’s take a look. (more…)

Leveraging Social Determinants of Health Is Easier than You Think

There’s been a lot of discussion over the last several months in the healthcare world about social determinants of health – or SDOH. These are factors that relate to a person’s physical environment and social circumstances that impact their well-being.

Social determinants of health account for up to 80% of the impact of an individual’s health, but that data accounts for only about 20% of the information collected in a healthcare setting. That’s why providers are now looking for ways to better incorporate SDOH into population health datasets. There are some easy ways to do so – let’s examine. (more…)

Top Advantages of Big Data in The Healthcare Industry

Big data is at the forefront of many industries worldwide, and the healthcare industry is no exception. In the healthcare industry, big data is available in massive amounts, containing the information of human health conditions and activities, and is collected through multiple resources like electronic health records, medical image analysis, wearables and medical devices, and more. As medicine and technology become more advanced, so do the abilities of big data. Here we take a look at some of the top advantages that big data has brought to the healthcare industry. (more…)

Five Ways Data Analytics Support Success with Value-Based Care

With the nation’s healthcare spending projected to top $6 trillion by 2027, regulators and payers are turning to value-based care strategies to curb unnecessary costs while nudging the United States up the list of countries with high-quality patient outcomes.

Value-based care models require healthcare providers to take accountability for the spending and outcomes of a defined population of attributed beneficiaries.  Participants must meet challenging financial and clinical targets in order to gain incentives or avoid negative payment adjustments.

The rapid adoption of value-based care models has put pressure on healthcare organizations to enhance their visibility into the challenges and utilization patterns of their attributed populations in order to stay ahead of avoidable spending.

For that, they need data analytics. (more…)

Physician Burnout: Using Data to Find Possible Causes and Solutions

When we think of the most prestigious careers in America, ‘doctor’ is usually one that ranks near the top of the list. It is surprising, then, that physicians across the country are facing unprecedented levels of burnout, depression, and even suicide. Taking care of at-risk patients is naturally stressful work, but if doctors are too stressed, they are not able to provide the best possible care. That means worse patient outcomes, which can create a feedback loop putting even more pressure on the physicians.

A 2019 survey of over 15,000 physicians by Medscape found that an alarming 44% reported they were feeling symptoms of being burned out. Younger generations of physicians, women, and those who work the most hours seem to be the most affected. What factors are making careers in the medical field so stressful, and what can we do to alleviate that stress? It turns out data can help us figure out these factors and move towards possible solutions. (more…)