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Leveraging COVID-19 value sets to ensure comprehensive data collection

 We know the importance of quick and accurate COVID-19 testing, but do we know when to get tested or even when to seek medical attention? Physicians also need to know which patient will be at a higher risk of contracting COVID-19 or having complications from the disease. This pandemic is not ending quickly; we need to gather data to develop evidence-based treatment guidance and to provide new information for how to fight the next epidemic. As the clinical picture is evolving quickly and a large amount of data is generated, COVID-19 value sets, which logically group all relevant standard codes from multiple terminologies, can help to ensure that the needed data is identified.   

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We have learned the most common signs and symptoms of COVID-19: fever, dry cough and shortness of breath. Patients have also reported abdominal pain, nausea, vomiting, diarrhea, malaise, headache, as well as loss of smell and taste. The COVID-19 value set of these clinical findings in a patient can be used to “trigger” an alert for testing. These early recognition signs and symptoms can also get a patient into isolation areas quicker while waiting for testing and determining the acuity of care needed. A COVID-19 value set of high-risk conditions, including chronic lung disease, moderate to severe asthma, serious heart conditions, immunocompromised status, severe obesity, diabetes, etc. can raise the alarm for healthcare workers, as the presence of these comorbidities has shown an increase in poorer outcomes in conjunction with a COVID-19 diagnosis. A value set of a patient’s personal demographics and Social Determinants of Health (SDoH), , can also be useful in determining increased risk. Last but not least, there are now 40 LOINC codes for SARS-CoV-2 testing (four of which are panel tests) with more to come; a COVID-19 lab tests value set would group all of them for ease of data exchange and reporting.

Ideally, the patient’s electronic health record (EHR) will have the information needed to generate data from the COVID-19 pandemic. Because interoperability is necessary to share and make use of this information globally, data to be exchanged should be encoded using standard terminologies like SNOMED CT, ICD-10-CM, and LOINC. PHIN VADS (Public Health Info Network, Vocabulary Access and Distribution System) provides value sets to the CDC and its public health partners. You can also browse for starter sets on the Value Set Authority Center (VSAC), which provides a platform for organizations (called “stewards”) to upload their value sets. Users are expected to review the content of each value set of interest, and correct or enhance as needed.

As part of 3M’s contribution to the worldwide effort to combat COVID-19, we are offering free assistance to identify the correct LOINC term for lab tests to detect SARS-CoV-2; now, we will also provide our COVID-19 value sets for diagnoses, clinical findings, comorbidities, lab tests, etc., at no cost. Email us at This email address is being protected from spambots. You need JavaScript enabled to view it. or Contact Us here for either or both of these free offers. We must learn everything we can to combat this pandemic and to prepare for the next medical crisis. COVID-19 value sets can be of immense help in ensuring we all have the data we need.

 

The post Leveraging COVID-19 value sets to ensure comprehensive data collection appeared first on 3M Inside Angle.

 

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  • Last modified on Tuesday, 28 April 2020 14:03
Dannie Greenlee

Dannie Greenlee RN, BSN has worked as a Clinic Nurse and Care Coordinator for six years, with experience in Medical/Surgical nursing, Surgical ICU, and wound care. Since joining the 3M HDD team in 2019, she has worked on terminology mapping projects using SNOMED CT, LOINC, ICD-10-CM, ICD-10-PCS, and other terminology standards. She has an interest in helping customers apply standard terminologies to real world operations, and maintaining and updating standards to support interoperability in EHR projects.