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Using Real-Time Data to Reduce Risk and Improve Patient Care Quality

Using Real-Time Data to Reduce Risk and Improve Patient Care Quality

Using Real-Time Data to Reduce Risk and Improve Patient Care Quality

Healthcare has always thrived on data, but never before in the entire scope of human history have providers had access to such enormous quantities of it, nor the ability to review it so quickly. 

Healthcare systems now operate with unprecedented volumes of information, and patients themselves have access to more personal health metrics than ever before.

This shift has created significant opportunities, but it has also transformed the face of healthcare in ways that are not always fully understood. 

In this article, we take a look at how data is improving outcomes and how it will continue to do so in the future.

Overview

What is the state of data in 2026? Modern 21st-century data implementation has evolved in several stages. Arguably, the first and most important step in the process was the digitization of healthcare records. 

While this did not necessarily increase the scope of information available, it dramatically improved accessibility.

With digital healthcare records, hospitals can seamlessly transfer information with the click of a button, sharing data with other providers to enable faster response times.

The digitization of healthcare records also created new opportunities for patients, who can now review blood work and other test results rapidly.

Anyone who has frantically searched online for explanations of a blood panel after a routine hospital visit understands how immediate that access can feel.

With the rise of wearable devices, IoT-enabled hospital beds, large-scale data processing models, and AI-driven interpretation tools, access to health data has never been more robust. 

As a result, it is increasingly important for healthcare systems to maximize the efficiency and strategic use of all this information.

How Important is Data in Healthcare?

When it comes to managing acute medical emergencies, speed is key. In that way, the growing prevalence of rapid information availability is helping hospitals and healthcare providers catch problems as they develop. For example, a patient wearing an IoT-powered heart monitor might flag small cardiac episodes that would otherwise go unnoticed for months or years. Faster treatment means better outcomes.

Higher levels of data accessibility also increase the chances of positive long-term outcomes for people with chronic conditions like diabetes. 

In these cases, it is easier for patients to manage their condition. Finally, personal fitness trackers and other wearable devices give people more individual data points, making it easier to track activity levels, sleep, blood pressure, and other metrics they would otherwise lack.

To summarize, more information is a good thing. That said, the more focused the insights, the more actionable the situation ultimately becomes.

Informatics Nursing

Informatics nursing positions make a job out of data in healthcare applications. With these positions, nurses focus primarily or entirely on reviewing patient information and refining systems, processes, and long-term strategies to meet the needs of the community they are serving.

To become an informatics nurse, you need to start with a BSN and then go on to get a graduate degree in data-related nursing. 

It’s a great position for people who are more interested in strategy and systems than they are in direct patient care, though informatics nurses may still work with patients. Their primary focus is on the numbers.

Data-Taking Devices

The growing prominence of data-taking devices is also playing an important role in how information is used in healthcare. 

Where data was once collected only at scheduled intervals in a hospital setting, it is now gathered continuously. 

Patients with heart conditions can use heart monitors that upload real-time information directly to their physician. Diabetics can use glucose monitors that constantly track blood sugar levels.

In the hospital, patient beds are now designed to collect many different data points at all times. All of this information makes it easier to draw rapid conclusions that can have life-saving consequences.

Do Fitness Trackers Actually Make a Difference?

Interestingly enough, the widest proliferation of data-taking healthcare-related devices has come in the form of simple commercial items that can be purchased at Target, Best Buy, or Amazon: Fitbits, smartwatches, and rings that monitor a wide variety of health-related data points. 

While these tools are not as refined in their data collection as an intelligent hospital bed, they do offer several benefits:

  • They are reasonably affordable. A smartwatch or fitness tracker can be purchased for approximately $100, making it one of the most affordable data-taking options for healthcare applications.
  • They spread awareness. While not as precisely accurate as clinical-grade instruments, they can collect data on blood pressure, heart rate, and other metrics that most people would otherwise only see at an annual checkup.
  • They provide motivation. Fitness trackers have the potential to encourage higher levels of activity. Studies have shown that people who wear fitness trackers take approximately 2,000 more steps per day than people who do not.

There is, of course, a question of correlation versus causation. Are people taking more steps because they have a fitness tracker, or do people who are already interested in being active choose to purchase these devices? 

Regardless, the impact of fitness trackers on the health of people who use them has, to this point, been positive. It is not necessarily to say that a Fitbit is likely to save a life, but it can be a valuable tool in a multifaceted healthcare strategy.

Conclusion

It is not exactly that the proliferation of data has completely transformed healthcare. The impact has been gradual.

Nevertheless, it is fair to say that outcomes may continue to improve as more people use these devices and healthcare systems become better at processing their information. 

This technology is still relatively new, and it is difficult to accurately estimate how it will shape care in the long run.

For now, what has been seen of big data integrations in healthcare has been overwhelmingly positive.

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