How Continuous Data Streams are Impacting Medical Industry

Traditional medical care is based on periodic meetings with healthcare providers. Test results,...

Traditional medical care is based on periodic meetings with healthcare providers. Test results, blood pressure, and weight are reviewed annually. Then, there is a quick conversation, and that's it for another year. If something happens during the year, such as illness or injury, there may be a few issue-focused appointments with an urgent care provider and not the patient's primary doctor.

The human body is a complex system – is a once-a-year check-up enough? We have all experienced days or even weeks where something seems a little off. Over time, that feeling may become our "new normal" so that when our annual exam rolls around, we report that nothing has changed. With the increased proliferation of wearable health trackers, continuous data streams are poised to replace traditional examinations and tests as the most significant contributor to healthcare data.

This change affects individuals in all stages of care: those who are pre-symptomatic, post-symptomatic, and even post-operative.

So, what effects can we expect to see in each of these areas as continuous healthcare monitoring usage increases?

How Continuous Data Monitoring Affects Pre-Symptomatic Individuals

Healthy individuals (those living without chronic diseases) can understand how their behaviors - such as movement habits, exposure to environmental toxins (when GPS data is correlated with air quality and traffic pattern data), and even heart rate and respiratory data - may impact future health conditions. Combining this information with an individual's electronic medical record (EMR) can contribute to the prevention of chronic diseases and keep individuals healthier, longer.

How Continuous Data Monitoring Affects Post-Symptomatic Individuals

Those living with chronic diseases can receive significant benefits from continuous health monitoring. Many chronic illnesses, such as heart disease and diabetes, are impacted by the individual's lifestyle choices. Making the individual aware of the immediate impact of incorporating exercise or lowering sugar intake can motivate positive changes and improve overall health.

Continuous monitoring in post-symptomatic individuals may also serve as an early-warning system to alert healthcare providers, family members, and wearers when the individual's condition has worsened. Early detection of worsening symptoms allows medical workers to act quickly to incorporate adjustments to drug therapies or make environmental changes.

How Continuous Data Monitoring Affects Post-Operative Individuals

When otherwise healthy individuals face surgery, the in-hospital recovery period may feel as daunting as the surgery itself—for some, being away from home while recuperating induces stress and makes it even more challenging to recover.

For others, the opposite is true. Some find that being away from medical care while recovering is frightening. What if something goes wrong? What if something is wrong, but I fail to notice until it is too late? 

In each of these scenarios, continuous health monitoring improves the quality of care and provides the individual with peace of mind – allowing the person to focus on their recovery, knowing that a trusted healthcare provider is monitoring their vital statistics.

As continuous healthcare monitoring increases, both individuals and healthcare providers can expect to see positive changes in the ways chronic diseases are prevented and managed. Surgeons, physical therapists, and other post-operative support team members can utilize continuous medical data streams to monitor recovery plans and ensure that those under their care are progressing as planned.

The CareMate remote monitoring solution supports caregivers, wearers, and loved ones with 24x7 access to real-time health data. Whether planning for the future, caring for a loved one, or recovering from surgery, continuous health monitoring keeps you informed about the things that matter most.

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