Measure: CMS69
Preventive Care and Screening: Body Mass Index (BMI) Screening and Follow-Up Plan
Measure Versions
| eMeasure Code |
Measure Year |
Full Version Number |
Title |
| CMS69v12 |
2024 |
12.0.000 |
Preventive Care and Screening: Body Mass Index (BMI) Screening and Follow-Up Plan |
| CMS69v11 |
2023 |
11 |
Preventive Care and Screening: Body Mass Index (BMI) Screening and Follow-Up Plan |
| CMS69v10 |
2022 |
10.1.000 |
Preventive Care and Screening: Body Mass Index (BMI) Screening and Follow-Up Plan |
| CMS69v9 |
2021 |
9.3.000 |
Preventive Care and Screening: Body Mass Index (BMI) Screening and Follow-Up Plan |
| CMS69v8 |
2020 |
8.2.000 |
Preventive Care and Screening: Body Mass Index (BMI) Screening and Follow-Up Plan |
| CMS69v7 |
2019 |
7.1.000 |
Preventive Care and Screening: Body Mass Index (BMI) Screening and Follow-Up Plan |
| CMS69v6 |
2018 |
6.1.000 |
Preventive Care and Screening: Body Mass Index (BMI) Screening and Follow-Up Plan |
| CMS69v5 |
2017 |
5.0.000 |
Preventive Care and Screening: Body Mass Index (BMI) Screening and Follow-Up Plan |
Description
Percentage of patients aged 18 years and older with a BMI documented during the current encounter or within the previous twelve months AND who had a follow-up plan documented if most recent BMI was outside of normal parameters
Guidance
BMI Measurement Guidance:
* Height and Weight - An eligible professional or their staff is required to measure both height and weight. Both height and weight must be measured within twelve months of the current encounter and may be obtained from separate encounters. Self-reported values cannot be used.
* The BMI may be documented in the medical record of the provider or in outside medical records obtained by the provider.
* If the most recent documented BMI is outside of normal parameters, then a follow-up plan is documented during the encounter or during the previous twelve months of the current encounter.
* If more than one BMI is reported during the measurement period, the most recent BMI will be used to determine if the performance has been met.
* Review the exclusions and exceptions criteria to determine those patients that BMI measurement may not be appropriate or necessary.
Follow-Up Plan Guidance:
* The documented follow-up plan must be based on the most recent documented BMI, outside of normal parameters, example: "Patient referred to nutrition counseling for BMI above or below normal parameters."
(See Definitions for examples of follow-up plan treatments).
Variation has been noted in studies exploring optimal BMI ranges for the elderly (see Donini et al., [2012]; Holme & Tonstad [2015]; Diehr et al. [2008]). Notably however, all these studies have arrived at ranges that differ from the standard range for ages 18 and older, which is >=18.5 and < 25 kg/m2. For instance, both Donini et al. (2012) and Holme and Tonstad (2015) reported findings that suggest that higher BMI (higher than the upper end of 25kg/m2) in the elderly may be beneficial. Similarly, worse outcomes have been associated with being underweight (at a threshold higher than 18.5 kg/m2) at age 65 (Diehr et al. 2008). Because of optimal BMI range variation recommendations from these studies, no specific optimal BMI range for the elderly is used. However, it may be appropriate to exempt certain patients from a follow-up plan by applying the exception criteria. See denominator exception section for examples.
* This eCQM is a patient-based measure. This measure is to be reported a minimum of once per reporting period for patients seen during the reporting period.
* This measure may be reported by eligible professionals who perform the quality actions described in the measure based on the services provided at the time of the qualifying encounter and the measure-specific denominator coding.
Telehealth encounters are not eligible for this measure because the measure requires a clinical action that cannot be conducted via telehealth.
This version of the eCQM uses QDM version 5.5. Please refer to the eCQI resource center (https://ecqi.healthit.gov/qdm) for more information on the QDM.
Patient Group Definitions
| Group |
Description |
Instructions Links |
| Initial Population | All patients aged 18 and older on the date of the encounter with at least one eligible encounter during the measurement period | Webchart Instructions |
| Denominator | Equals Initial Population | Webchart Instructions |
| Denominator Exclusions | Patients who are pregnant
Patients receiving palliative or hospice care | Webchart Instructions |
| Numerator | Patients with a documented BMI during the encounter or during the previous twelve months, AND when the BMI is outside of normal parameters, a follow-up plan is documented during the encounter or during the previous twelve months of the current encounter | Webchart Instructions |
| Numerator Exclusions | Not Applicable | Webchart Instructions |
| Denominator Exceptions | Patients with a documented medical reason for not documenting BMI or for not documenting a follow-up plan for a BMI outside normal parameters (e.g., elderly patients 65 years of age or older for whom weight reduction/weight gain would complicate other underlying health conditions such as illness or physical disability, mental illness, dementia, confusion, or nutritional deficiency such as vitamin/mineral deficiency; patients in an urgent or emergent medical situation where time is of the essence and to delay treatment would jeopardize the patient’s health status)
Patients who refuse measurement of height and/or weight | Webchart Instructions |
Details
| Full eMeasure Code |
eMeasure Identifier |
Measure Year |
Version |
NQF # |
GUID |
| CMS69v10 |
|
2022 |
10.1.000 |
Not Applicable |
9a031bb8-3d9b-11e1-8634-00237d5bf174 |
| Steward |
Developer |
Endorsed By |
| Mathematica |
Centers for Medicare & Medicaid Services (CMS) |
|
| Scoring Method |
Measure Type |
Stratification |
Risk Adjustment |
| Proportion |
PROCESS |
None |
None |
Rate Aggregation
None
Improvement Notation
Higher score indicates better quality
Rationale
BMI Above Normal Parameters
“Obesity is a chronic, multifactorial disease with complex psychological, environmental (social and cultural), genetic, physiologic, metabolic and behavioral causes and consequences. The prevalence of overweight and obese people is increasing worldwide at an alarming rate in both developing and developed countries. Environmental and behavioral changes brought about by economic development, modernization and urbanization have been linked to the rise in global obesity. The health consequences are becoming apparent” (Fitch et al., 2013).
More than a third of U.S. adults have a body mass index [BMI] >= 30 kg/m2 and are at increased risk for diabetes, cardiovascular disease (CVD), and obstructive sleep apnea (Flegal et al., 2012; Ogden et al., 2015; Dong et al., 2020). Hales et al. (2017), reported that the prevalence of obesity among adults and youth in the United States was 39.8 percent and 18.5 percent respectively, from 2015-2016. Furthermore, the prevalence of obesity in adults increased to 42.4 percent in 2018, with the highest percentage among adults in the 40-59 age bracket compared with other age groups (Hales et al., 2020). Hales et al. (2020) also disaggregated the data according to race/ethnicity and noted that obesity prevalence was higher among non-Hispanic Black adults and Hispanic adults when compared with other races and ethnicities. Obesity prevalence was lowest among non-Hispanic Asian men and women. Among men, obesity prevalence was higher among Hispanic men compared with non-Hispanic Black men and non-Hispanic White men. Among women, the prevalence among non-Hispanic Black women was 56.9 percent, which was higher than all other race/ethnicities. In general, the prevalence of obesity in the U.S. remains higher than the Healthy People 2020 goals of 30.5 percent among adults (Hales et al., 2020).
BMI continues to be a common and reasonably reliable measurement to identify overweight and obese adults who may be at an increased risk for future morbidity. Although good quality evidence supports obtaining a BMI, it is important to recognize it is not a perfect measurement. For example, BMI and its associated disease and mortality risk appear to vary among ethnic subgroups. Black/African Americans appear to have the lowest mortality risk at a BMI of 26.2-28.5 kg/m2 in Black women and 27.1-30.2 kg/m2 in Black men. In contrast, Asian populations may experience lowest mortality rates starting at a BMI of 23 to 24 kg/m2. The correlation between BMI and diabetes risk also varies by ethnicity (LeBlanc et al., 2011, pp. 2-3). BMI is not a direct measure of adiposity and as a consequence, it can over or underestimate adiposity. However, overall, BMI is a derived value that correlates well with total body fat and markers of secondary complications, e.g., hypertension and dyslipidemia (Barlow & the Expert Committee, 2007).
It is important to enhance beneficiary access to appropriate treatments for obesity, which could result in decreased healthcare costs and lower obesity rates. Behavioral weight management treatment has been identified as an effective first-line treatment for obesity with an average initial weight loss of 8-10 percent. This percentage weight loss is associated with a significant risk reduction for diabetes and CVD (Wadden, Butryn & Wilson, 2007). Evidence also shows that when provided 14 or more high-intensity behavioral intervention sessions of face-to-face individual or group treatment across 6 months, participants lose up to 8 percent of their weight during that time and experience improvements in heart disease risk factors and quality of life (Wadden, Tronieri, & Butryn, 2020). There is also evidence that high-intensity behavioral counseling is effective, whether delivered in-person, by phone, or electronically (Tronieri et al., 2019). Moreover, Intensive Behavioral Therapy (IBT) for obesity provided by Registered Dietitian Nutritionists for 6-12 months shows significant mean weight loss of up to 10 percent of body weight, maintained over one year’s time (Raynor & Champagne, 2016). Despite the evidence that supports weight management counseling, the rate of use in primary care for patients with obesity decreased by 10 percent from 39.9 percent in 1995-1996 to 29.9 percent in 2007-2008 (Kraschnewski et al., 2013). Weight management counseling during primary care visits further declined from 33 percent to 21 percent between 2008-2009 and 2012-2013. This suggests that obesity management in primary care remains suboptimal (Fitzpatrick & Stevens, 2017).
Therefore, screening for BMI and follow-up is critical and will help in reaching the quality goals of population health and cost reduction. However, due to concerns for other underlying conditions (such as bone health) or nutrition-related deficiencies, providers are cautioned to use their best clinical judgment when considering weight management programs for overweight patients, especially the elderly (National Heart, Lung, and Blood Institute [NHLBI] Obesity Education Initiative, 1998, p. 91).
BMI below Normal Parameters
On the other end of the body weight spectrum is underweight (BMI < 18.5 kg/m2), which is equally detrimental to population health. When compared to normal weight individuals (BMI 18.5-25 kg/m2), underweight individuals have significantly higher death rates with a Hazard Ratio of 2.27 and 95 percent confidence intervals (CI) = 1.78, 2.90 (Borrell & Samuel, 2014).
Poor nutrition or underlying health conditions can result in underweight (Fryar & Ogden, 2012). The National Health and Nutrition Examination Survey (NHANES) results from 2007-2010 indicate that women are more likely to be underweight than men (Centers for Disease Control and Prevention, 2012). However, all patients should be equally screened for underweight and followed up with nutritional counseling to reduce mortality and morbidity associated with underweight.
Clinical Recommendation Statement
All adults should be screened annually using a BMI measurement. BMI measurements >= 25 kg/m2 should be used to initiate further evaluation of overweight or obesity after taking into account age, gender, ethnicity, fluid status, and muscularity; therefore, clinical evaluation and judgment must be used when BMI is employed as the anthropometric indicator of excess adiposity, particularly in athletes and those with sarcopenia (Garvey et al., 2016 AACE/ACE Guidelines, 2016, pp. 12-13) (Grade A).
Overweight and Underweight Categories:
Underweight < 18.5; Normal weight 18.5-24.9; Overweight 25-29.9; Obese class I 30-34.9; Obese class II 35-39.9; Obese class III >= 40 (Garvey et al., 2016 AACE/ACE Guidelines, 2016, p. 15).
BMI cutoff point value of >= 23 kg/m2 should be used in the screening and confirmation of excess adiposity in Asian adults (Garvey et al., 2016 AACE/ACE Guidelines, 2016, p. 13) (Grade B).
Lifestyle/Behavioral Therapy for Overweight and Obesity should include behavioral interventions that enhance adherence to prescriptions for a reduced-calorie meal plan and increased physical activity (behavioral interventions can include: self-monitoring of weight, food intake, and physical activity; clear and reasonable goal-setting; education pertaining to obesity, nutrition, and physical activity; face-to-face and group meetings; stimulus control; systematic approaches for problem solving; stress reduction; cognitive restructuring [i.e., cognitive behavioral therapy], motivational interviewing; behavioral contracting; psychological counseling; and mobilization of social support structures) (Garvey et al., 2016 AACE/ACE Guidelines, 2016, p. 22) (Grade A).
Behavioral lifestyle intervention should be tailored to a patient's ethnic, cultural, socioeconomic, and educational background (Garvey et al., 2016 AACE/ACE Guidelines, 2016, p. 22) (Grade B).
The U.S. Preventive Services Task Force (USPSTF) recommends that clinicians offer or refer adults with a BMI of 30 kg/m2 or higher to intensive, multicomponent behavioral interventions (USPSTF, 2018) (Grade B).
Interventions:
- Effective intensive behavioral interventions were designed to help participants achieve or maintain weight loss of at least five percent through a combination of dietary changes and increased physical activity
- Most interventions lasted for one to two years, and the majority had at least 12 sessions in the first year
- Most behavioral interventions focused on problem solving to identify barriers, self-monitoring of weight, peer support, and relapse prevention
- Interventions also provided tools to support weight loss or weight loss maintenance (e.g., pedometers, food scales, or exercise videos) (USPSTF, 2018)
Nutritional safety for the elderly should be considered when recommending weight reduction. "A clinical decision to forego obesity treatment in older adults should be guided by an evaluation of the potential benefits of weight reduction for day-to-day functioning and reduction of the risk of future cardiovascular events, as well as the patient's motivation for weight reduction. Care must be taken to ensure that any weight reduction program minimizes the likelihood of adverse effects on bone health or other aspects of nutritional status" (NHLBI Obesity Education Initiative, 1998, p. 91) (Evidence Category D). In addition, weight reduction prescriptions in older persons should be accompanied by proper nutritional counseling and regular body weight monitoring (NHLBI Obesity Education Initiative, 1998, p. 91).
The possibility that a standard approach to weight loss will work differently in diverse patient populations must be considered when setting expectations about treatment outcomes (NHLBI Obesity Education Initiative, 1998, p. 97) (Evidence Category B).
Definition
Normal BMI Parameters: Age 18 years and older BMI >= 18.5 and < 25 kg/m2
BMI- Body mass index (BMI) is a number calculated using the Quetelet index: weight divided by height squared (W/H2) and is commonly used to classify weight categories. BMI can be calculated using:
Metric Units: BMI = Weight (kg) / (Height (m) x Height (m))
OR
English Units: BMI = Weight (lbs.) / (Height (in) x Height (in)) x 703
Follow-Up Plan - Proposed outline of treatment to be conducted as a result of a BMI out of normal parameters. A follow-up plan may include, but is not limited to: documentation of education, referral (for example a Registered Dietitian Nutritionist (RDN), occupational therapist, physical therapist, primary care provider, exercise physiologist, mental health professional, or surgeon) for lifestyle/behavioral therapy, pharmacological interventions, dietary supplements, exercise counseling and/or nutrition counseling
Transmission Format
TBD
Applicable Value Sets
| Category |
Value Set |
OID |
| Diagnosis |
Pregnancy Dx |
2.16.840.1.113883.3.600.1.1623 |
| Encounter, Performed |
BMI Encounter Code Set |
2.16.840.1.113883.3.600.1.1751 |
| Intervention, Not Ordered |
Above Normal Follow-up |
2.16.840.1.113883.3.600.1.1525 |
| Intervention, Not Ordered |
Below Normal Follow up |
2.16.840.1.113883.3.600.1.1528 |
| Intervention, Not Ordered |
Referrals where weight assessment may occur |
2.16.840.1.113883.3.600.1.1527 |
| Intervention, Not Performed |
Above Normal Follow-up |
2.16.840.1.113883.3.600.1.1525 |
| Intervention, Not Performed |
Below Normal Follow up |
2.16.840.1.113883.3.600.1.1528 |
| Intervention, Order |
Above Normal Follow-up |
2.16.840.1.113883.3.600.1.1525 |
| Intervention, Order |
Below Normal Follow up |
2.16.840.1.113883.3.600.1.1528 |
| Intervention, Order |
Hospice Care Ambulatory |
2.16.840.1.113883.3.526.3.1584 |
| Intervention, Order |
Palliative Care |
2.16.840.1.113883.3.600.1.1579 |
| Intervention, Order |
Referrals where weight assessment may occur |
2.16.840.1.113883.3.600.1.1527 |
| Intervention, Performed |
Above Normal Follow-up |
2.16.840.1.113883.3.600.1.1525 |
| Intervention, Performed |
Below Normal Follow up |
2.16.840.1.113883.3.600.1.1528 |
| Intervention, Performed |
Hospice Care Ambulatory |
2.16.840.1.113883.3.526.3.1584 |
| Intervention, Performed |
Palliative Care |
2.16.840.1.113883.3.600.1.1579 |
| Medication, Not Ordered |
Medications for Above Normal BMI |
2.16.840.1.113883.3.526.3.1561 |
| Medication, Not Ordered |
Medications for Below Normal BMI |
2.16.840.1.113883.3.526.3.1562 |
| Medication, Order |
Medications for Above Normal BMI |
2.16.840.1.113883.3.526.3.1561 |
| Medication, Order |
Medications for Below Normal BMI |
2.16.840.1.113883.3.526.3.1562 |
| Patient Characteristic Ethnicity |
Ethnicity |
2.16.840.1.114222.4.11.837 |
| Patient Characteristic Payer |
Payer |
2.16.840.1.114222.4.11.3591 |
| Patient Characteristic Race |
Race |
2.16.840.1.114222.4.11.836 |
| Patient Characteristic Sex |
ONC Administrative Sex |
2.16.840.1.113762.1.4.1 |
References
CITATIONBarlow, S. E., & the Expert Committee. (2007). Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: Summary report. Pediatrics, 120(Suppl. 4), S164-S192. doi:10.1542/peds.2007-2329C
CITATIONBorrell, L. N., & Samuel, L. (2014). Body mass index categories and mortality risk in U.S. adults: The effect of overweight and obesity on advancing death. American Journal of Public Health, 104(3), 512-519. doi:10.2105/AJPH.2013.301597
CITATIONCenters for Disease Control and Prevention (CDC). (2012). National Health and Nutrition Examination Survey (NHANES). Prevalence of underweight among adults aged 20 and over:
United States, 1960–1962 Through 2011–2012. Retrieved from https://www.cdc.gov/nchs/data/hestat/underweight_adult_11_12/underweight_adult_11_12.htm
CITATIONDiehr, P., O’Meara, E. S., Fitzpatrick A., Newman, A. B., Kuller, L., Burke, G. (2008). Weight, mortality, years of healthy life, and active life expectancy in older adults. Journal of the American Geriatrics Society, 56(1), 76-83. doi:10.1111/j.1532-5415.01500.x
CITATIONDong, Z., Xu, X., Wang, C., Cartledge, S., Maddison, R., & Mohammed Shariful Islam, S. (2020). Association of overweight and obesity with obstructive sleep apnoea: A systematic review and meta-analysis. Obesity Medicine, 17. doi:https://doi.org/10.1016/j.obmed.2020.100185
CITATIONDonini, L. M., Savina, C., Gennaro, E., De Felice, M. R., Rosano, A., Pandolfo, M. M., Del Balzo, V., …Chumlea, W. C. et al. (2012). A systematic review of the literature concerning the relationship between obesity and mortality in the elderly. The Journal of Nutrition, Health & Aging, 16(1), 89-98. doi:10.1007/s12603-011-0073-x
CITATIONFitch, A., Everling, L., Fox, C.,Goldberg, J., Heim, C., Johnson, K., …Webb, B. (2013, May). Prevention and management of obesity for adults. Bloomington, MN: Institute for Clinical Systems Improvement.
CITATIONFitzpatrick, S. L., & Stevens, V. J. (2017). Adult obesity management in primary care, 2008-2013. Preventive medicine, 99, 128–133. https://doi.org/10.1016/j.ypmed.2017.02.020
CITATIONFlegal, K. M., Carroll, M. D., Kit, B. K., & Ogden, C. L. (2012). Prevalence of obesity and trends in the distribution of body mass index among U. S. adults, 1999-2010. JAMA, 307(5), 491-497. doi.10.1001/jama.2012.39
CITATIONFryar, C. D., & Ogden, C. L. (2012). Prevalence of underweight among adults aged 20 and over: United States, 1960-1962 through 2007-2010. Hyattsville, MD: NCHS, Division of Health and Nutrition Examination Surveys. Retrieved from http://www.cdc.gov/nchs/data/hestat/underweight_adult_07_10/underweight_adult_07_10.pdf
CITATIONGarvey, W. T., Mechanick, J. I., Brett, E. M., Garber, A. J., Hurley, D. L., Jastrebodd. A. M., …and Reviewers of the AACE/ACE Obesity Clinical Practice Guidelines. (2016). American Association of Clinical Endocrinologists and American College of Endocrinology comprehensive clinical practice guidelines for medical care of patients with obesity. Endocrine Practice, 22(Suppl. 3), 1-203. doi:10.4158/EP161365GL
CITATIONHales, C. M., Carroll, M. D., Fryar, C. D., et al. (2017). Prevalence of obesity among adults and youth: United States, 2015-2016. NCHS Data Brief No. 288. Retrieved from https://www.cdc.gov/nchs/products/databriefs/db288.htm
CITATIONHales, C. M., Carroll, M. D., Fryar, C. D., & Ogden, C.L. (2020). Prevalence of Obesity and Severe Obesity Among Adults: United States, 2017-2018. NCHS Data Brief No. 360. Retrieved from https://www.cdc.gov/nchs/products/databriefs/db360.htm
CITATIONHolme, I., & Tonstad, S. (2015). Survival in elderly men in relation to midlife and current BMI. Age and Ageing, 44(3), 434-439
CITATIONKraschnewski, J. L., Sciamanna, C. N., Stuckey, H. L., Chuang, C. H., Lehman, E. B., Hwang, K. O., Sherwood, L. L., & Nembhard, H. B. (2013). A silent response to the obesity epidemic: decline in US physician weight counseling. Medical care, 51(2), 186–192. https://doi.org/10.1097/MLR.0b013e3182726c33
CITATIONLeBlanc, E., O’Connor, E., Whitlock, E. P., et al. (2011). Screening for and management of obesity and overweight in adults (Evidence Report No. 89; AHRQ Publication No. 11-05159-EF-1). Rockville, MD: Agency for Healthcare Research and Quality
CITATIONNHLBI Obesity Education Initiative. (1998). Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults (Report No. 98-4083). Bethesda, MD: NHLBI
CITATIONOgden, C.L., Carroll, M.D., Fryar, C.D., Flegal, K.M. (2015). Prevalence of obesity among adults and youth: United States, 2011–2014. NCHS data brief, no 219. Hyattsville, MD: National Center for Health Statistics. Retrieved from https://www.cdc.gov/nchs/data/databriefs/db219.pdf
CITATIONRaynor, H. A., & Champagne, C. M. (2016). Position of the Academy of Nutrition and Dietetics: Interventions for the treatment of overweight and obesity in adults. Journal of the Academy of Nutrition and Dietetics, 116(1), 129-147. doi:10.1016/jand.2015.10.031
CITATIONTronieri, J. S., Wadden, T. A., Chao, A. M., & Tsai, A. G. (2019). Primary Care Interventions for Obesity: Review of the Evidence. Current obesity reports, 8(2), 128–136. https://doi.org/10.1007/s13679-019-00341-5
CITATIONU.S. Preventive Services Task Force (USPSTF). (2018). Behavioral weight loss interventions to prevent obesity-related morbidity and mortality in adults: U.S. Preventive Services Task Force recommendation statement. JAMA, 320(11), 1163–1171. doi:10.1001/jama.2018.13022
CITATIONWadden, T. A, Butryn, M. L., Wilson, C. (2007). Lifestyle modification for the management of obesity. Gastroenterology, 132 (6), 2226-2238. doi: 10.1053/j.gastro.2007.03.051
CITATIONWadden, T. A., Tronieri, J. S., & Butryn, M. L. (2020). Lifestyle modification approaches for the treatment of obesity in adults. American Psychologist, 75(2), 235–251
Disclaimer
These performance measures are not clinical guidelines and do not establish a standard of medical care, and have not been tested for all potential applications.
THE MEASURES AND SPECIFICATIONS ARE PROVIDED “AS IS” WITHOUT WARRANTY OF ANY KIND.
Due to technical limitations, registered trademarks are indicated by (R) or [R] and unregistered trademarks are indicated by (TM) or [TM].
Copyright
Limited proprietary coding is contained in the measure specifications for convenience. Users of the proprietary code sets should obtain all necessary licenses from the owners of these code sets.
CPT(R) contained in the Measure specifications is copyright 2004-2020 American Medical Association. LOINC(R) is copyright 2004-2020 Regenstrief Institute, Inc. This material contains SNOMED Clinical Terms(R) (SNOMED CT[R]) copyright 2004-2020 International Health Terminology Standards Development Organisation. ICD-10 is copyright 2020 World Health Organization. All Rights Reserved.
Source:
https://ecqi.healthit.gov/ecqm/measures/cmsv1