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Throughout 2020, more than a million individuals contracted COVID-19 in the United States. While this placed a huge physical demand on the delivery of products and services like PPE, ventilators, and round the clock healthcare workers, it also completely loaded our hospitals’ data infrastructures. How do we actualize the data to make the most informed decisions? Where do we go from here? Most importantly, how do we personalize this information in a way that aids in our ability to save lives and maintain our country’s general health?

Qualified Metrics

Medical clinics throughout the country have built frameworks to qualify patients in the wake of COVID-19’s impact on the U.S. Metrics like symptom mapping, pattern comorbidities, and eventually the results of hospitalized COVID-19 patients. In New York alone, one of the epicenters of COVID-19 outbreaks 6,000 individual patients were graded on this scale which gives data analysts the ability to map trends and anticipate how the virus will react to certain treatments. These kinds of developments will be the driving force behind a finely attuned healthcare system that will be able to endure something as volatile as a global pandemic.

Electronic Wellbeing Records

John Ayanian, MD, director of the University of Michigan’s Institute for Healthcare Policy and Innovation; and Melinda Buntin, Ph.D., chair of the Vanderbilt School of Medicine’s department of health policy spoke to the impact of these findings. “Our framework draws upon definite clinical information from electronic wellbeing records. These include fundamental signs, research center tests, meds, and comorbid conditions, in a wide scope both racially and ethnically. Given every one of these qualities, this investigation is a significant commitment to developing clinical writing on COVID-19.”

This research has led to findings that will allow our healthcare system to be proactive instead of reactive. These findings included: 

  • The median age of the patients was 63
  • There was approximately a 60-40 split among male and female patients
  • Their most normal comorbidities were hypertension, 56.6%; weight, 41.7%; and diabetes, 33.8%

The investigation noticed that these pre-existing conditions were a key factor in the severity of the virus. Patients with diabetes, for instance, were significantly more at risk of being ventilated than those without. As the virus spreads to different parts of the country, these data points become more valuable. These will aid in how healthcare workers examine patients and determine how proactive they need to be to keep them safe.

Moving Toward the Future

As we move forward through challenging times like these, the collection and implementation of data become of paramount importance. It gives us the ability to make educated decisions, track progress, and improve the efficiency of our successful practices. As American Exchange continues to adapt and position itself to provide for patients’ needs, data will always drive our decisions.