eCQM QICore Content Implementation Guide
2025.0.0 - CI Build
eCQM QICore Content Implementation Guide, published by cqframework. This guide is not an authorized publication; it is the continuous build for version 2025.0.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/cqframework/ecqm-content-qicore-2025/ and changes regularly. See the Directory of published versions
Official URL: https://madie.cms.gov/Measure/CMS832HHAKIFHIR | Version: 0.2.000 | |||
Active as of 2025-05-27 | Responsible: Centers for Medicare & Medicaid Services (CMS)/a> | Computable Name: CMS832HHAKIFHIR | ||
Other Identifiers: Short Name: CMS832FHIR (use: usual, ), UUID:ceeb6884-0dc4-4f4d-be48-01a6a998b8d2 (use: official, ), UUID:9045b3dd-5111-49de-9929-7b0101a3e5b2 (use: official, ), Endorser: 3713e (use: official, ), Publisher: 832FHIR (use: official, ) | ||||
Copyright/Legal: Limited proprietary coding is contained in the Measure specifications for user convenience. Users of proprietary code sets should obtain all necessary licenses from the owners of the code sets. American Institutes for Research(R), formerly IMPAQ International, disclaims all liability for use or accuracy of any third party codes contained in the specifications. LOINC(R) copyright 2004-2023 Regenstrief Institute, Inc. This material contains SNOMED Clinical Terms(R) (SNOMED CT[R]) copyright 2004-2023 International Health Terminology Standards Development Organisation. ICD-10 copyright 2023 World Health Organization. All Rights Reserved. |
Metadata | |
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Title | Hospital Harm - Acute Kidney InjuryFHIR |
Version | 0.2.000 |
Short Name | CMS832FHIR |
GUID (Version Independent) | urn:uuid:ceeb6884-0dc4-4f4d-be48-01a6a998b8d2 |
GUID (Version Specific) | urn:uuid:9045b3dd-5111-49de-9929-7b0101a3e5b2 |
CMS Identifier | 832FHIR |
CMS Consensus Based Entity Identifier | 3713e |
Effective Period | 2026-01-01 through 2026-12-31 |
Steward (Publisher) | Centers for Medicare & Medicaid Services (CMS) |
Developer | American Institutes for Research (AIR) |
Description | The measure assesses the number of inpatient hospitalizations for patients age 18 and older who have an acute kidney injury (stage 2 or greater) that occurred during the encounter. Acute kidney injury (AKI) stage 2 or greater is defined as a substantial increase in serum creatinine value, or by the initiation of kidney dialysis (continuous renal replacement therapy (CRRT), hemodialysis or peritoneal dialysis). |
Copyright | Limited proprietary coding is contained in the Measure specifications for user convenience. Users of proprietary code sets should obtain all necessary licenses from the owners of the code sets. American Institutes for Research(R), formerly IMPAQ International, disclaims all liability for use or accuracy of any third party codes contained in the specifications. LOINC(R) copyright 2004-2023 Regenstrief Institute, Inc. This material contains SNOMED Clinical Terms(R) (SNOMED CT[R]) copyright 2004-2023 International Health Terminology Standards Development Organisation. ICD-10 copyright 2023 World Health Organization. All Rights Reserved. |
Disclaimer | This performance measure is not a clinical guideline and does not establish a standard of medical care, and has 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]. |
Rationale | This measure focuses on stage 2 or greater acute kidney injury as an outcome in the hospital inpatient setting. The incidence of AKI in general hospitalized patients is 10%–20%, and among critically ill patients, the incidence of AKI has been reported as high as 45–50%; in cardiac surgery patients it ranges from 30%-50% (Thongprayoon et al., 2020). Less severe acute kidney injury and acute kidney injury requiring dialysis affect approximately 2,000 to 3,000 and 200 to 300 per million population per year, respectively. Acute kidney injury may result in the need for dialysis, and is associated with an increased risk of mortality (Schwager et al., 2023; Wilson et al., 2013). While not all instances of acute kidney injury are avoidable and may be due to natural progression of underlying illness or a complication of a necessary treatment such as chemotherapy, a proportion of acute kidney injury cases are preventable and treatable. The Kidney Disease: Improving Global Outcomes (KDIGO) guidelines suggest careful management of hemodynamic status, fluids, and vasoactive medications for the prevention of acute kidney injury (KDIGO, 2012). Several studies identified through systematic literature searches developed or evaluated the effectiveness of acute kidney injury electronic alert systems (Schwager et al., 2023; Selby et al., 2012; Ahmed et al., 2015; Porter et al., 2014; Wilson et al., 2014; Kirkendall et al., 2014; Cho et al., 2012). These studies used data elements for defining acute kidney injury that were already present and populated in the electronic health record (EHR). For acute kidney injury diagnosis, all except two were limited to using serum creatinine levels, suggesting that this is the most reliable and consistently available electronic data element for defining acute kidney injury. |
Clinical Recommendation Statement | Serum creatinine is an accepted proxy for acute kidney disease (Ostermann et al., 2020; KDIGO, 2012). It is cited by many guidelines for defining and monitoring acute kidney injury (Lameire et al., 2021; Ostermann et al., 2020; Lopes & Jorge, 2013; KDIGO, 2012). eGFR equations that incorporate creatinine and cystatin C but omit race are more accurate and lead to smaller differences between Black participants and non-Black participants than new equations without race with either creatinine or cystatin C alone (Inker et al., 2021). As a result, a new race-neutral eGFR equation that that measures serum creatinine or cystatin C incorporate age, sex, and race to estimate measured GFR has been developed and is recommended by the Task Force from the National Kidney Foundation and American Society of Nephrology (Inker et al., 2021; Diao et al., 2021; Delgado et al., 2021; Delgado et al., 2022). It was recommended by the Task Force to use within the measure a Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation refit without the race variable. This functionality has been available to all laboratories in the United States (Delgado et al., 2021; Delgado et al., 2022), and has acceptable performance characteristics and potential consequences that do not disproportionately affect any one group of individuals. The KDIGO offers clinical practice guidelines for preventing and managing acute kidney injury: FLUIDS 3.1.1: In the absence of hemorrhagic shock, we suggest using isotonic crystalloids rather than colloids (albumin or starches) as initial management for expansion of intravascular volume in patients at risk for acute kidney injury or with acute kidney injury. (Level 2, grade B) VASOPRESSORS 3.1.2: We recommend the use of vasopressors in conjunction with fluids in patients with vasomotor shock with, or at risk for, acute kidney injury. (Level 1, grade C) PROTOCOLIZED HEMODYNAMIC MANAGEMENT 3.1.3: We suggest using protocol-based management of hemodynamic and oxygenation parameters to prevent development or worsening of acute kidney injury in high-risk patients in the perioperative setting (2C) or in patients with septic shock. (Level 2, grade C) In April 2019, KDIGO held a follow-up conference (Ostermann et al., 2020). The effectiveness of the 2012 KDIGO recommendations in preventing AKI was also noted to have been confirmed in small single-center randomized controlled trials (RCTs), such as the Prevention of AKI (PrevAKI) and the Biomarker Guided Intervention for Prevention of AKI (BigpAK) studies (Meersch et al., 2017; Göcze et al., 2018). In addition, results of RCTs have provided new data relevant to several facets of preventing and managing AKI, including early resuscitation, fluid therapy, prevention of contrast-associated AKI, and timing of acute renal replacement therapy (RRT) (Kellum et al., 2016; Nijssen et al., 2017; Self et al., 2018; Zarbock et al, 2016; Gaudry et al., 2016; Barbar et al., 2018). |
Citation |
CITATION - Ahmed, A., Vairavan, S., Akhoundi, A., Wilson, G., Chiofolo, C., Chbat, N., & Kashani, K. (2015). Development and validation of electronic surveillance tool for acute kidney injury: A retrospective analysis. J Crit Care, 30(5), 988-993. doi: 10.1016/j.jcrc.2015.05.007 |
Citation |
CITATION - Barbar, S.D., Clere-Jehl, R., Bourredjem, A., Hernu, R., Montin,i F., Bruyère, R., Lebert, C., Bohé, J., Badie, J., Erald,i J.P., Rigaud, J.P., Levy, B., Siam,i S., Louis, G., Bouadma, L., Constantin, J.M., Mercier, E., Klouche, K., du Cheyron, D., ... Quenot, J.P. (2018). IDEAL-ICU Trial Investigators and the CRICS TRIGGERSEP Network. Timing of renal-replacement therapy in patients with acute kidney injury and sepsis. N Engl J Med. 2018 Oct 11;379(15):1431-1442. doi: 10.1056/NEJMoa1803213. PMID: 30304656 |
Citation |
CITATION - Cho, A., Lee, J.E., Yoon, J.Y., Jang, H.R., Huh, W., Kim, Y.G., & Oh, H.Y. (2012). Effect of an electronic alert on risk of contrast-induced acute kidney injury in hospitalized patients undergoing computed tomography. American Journal of Kidney Diseases, 60(1), 74-81. doi: 10.1053/j.ajkd.2012.02.331. Epub 2012 Apr 11. PMID: 22497793 |
Citation |
CITATION - Delgado, C., Baweja, M., Crews, D.C., Eneanya, N.D., Gadegbeku, C.A., Inker, L.A., Mendu, M L., Miller, W.G., Moxey-Mims, M.M., Roberts, G.V., St Peter, W.L., Warfield, C., & Powe, N.R. (2021). A unifying approach for GFR estimation: Recommendations of the NKF-ASN task force on reassessing the inclusion of race in diagnosing kidney disease. Journal of the American Society of Nephrology: JASN, 32(12), 2994–3015. doi: 10.1681/ASN.2021070988. Epub 2021 Dec 1. PMID: 34556489; PMCID: PMC8638402 |
Citation |
CITATION - Delgado, C., Baweja, M., Crews, D.C., Eneanya, N.D., Gadegbeku, C.A., Inker, L.A., Mendu, M.L., Miller, W.G., Moxey-Mims, M.M., Roberts, G.V., St Peter, W.L., Warfield, C., & Powe, N.R. (2022). A unifying approach for GFR estimation: Recommendations of the NKF-ASN task force on reassessing the inclusion of race in diagnosing kidney disease. American journal of kidney diseases: The official journal of the National Kidney Foundation, 79(2), 268–288.e1. doi: 10.1053/j.ajkd.2021.08.003. Epub 2021 Sep 23. PMID: 34563581 |
Citation |
CITATION - Diao, J.A., Inker, L.A., Levey, A.S., Tighiouart, H., Powe, N.R., & Manrai, A.K. (2021). In search of a better equation - Performance and equity in estimates of kidney function. N Engl J Med. 2021 Feb 4;384(5):396-399. doi: 10.1056/NEJMp2028243. Epub 2021 Jan 6. PMID: 33406354; PMCID: PMC8084706 |
Citation |
CITATION - Gaudry, S., Hajage, D., Schortgen, F., Martin-Lefevre, L., Pons, B., Boulet, E., Boyer, A., Chevrel, G., Lerolle, N., Carpentier, D., de Prost, N., Lautrette, A., Bretagnol, A., Mayaux, J., Nseir, S., Megarbane, B., Thirion, M., Forel, J.M., Maize,l J., ... Dreyfuss, D. (2016). Initiation strategies for renal-replacement therapy in the intensive care unit. N Engl J Med. 2016 Jul 14;375(2):122-33. doi: 10.1056/NEJMoa1603017. Epub 2016 May 15. PMID: 27181456 |
Citation |
CITATION - Göcze, I., Jauch, D., Götz, M., Kennedy, P., Jung, B., Zeman, F., Gnewuch, C., Graf, B. M., Gnann, W., Banas, B., Bein, T., Schlitt, H. J., & Bergler, T. (2018). Biomarker-guided Intervention to Prevent Acute Kidney Injury After Major Surgery: The Prospective Randomized BigpAK Study. Annals of surgery, 267(6), 1013–1020. doi: 10.1097/SLA.0000000000002485. PMID: 28857811 |
Citation |
CITATION - Inker, L.A., Eneanya, N.D., Coresh, J., Tighiouart, H., Wang, D., Sang, Y., Crews, D.C., Doria, A., Estrella, M.M., Froissart, M., Grams, M.E., Greene, T., Grubb, A., Gudnason, V., Gutiérrez, O.M., Kalil, R., Karger, A.B., Mauer, M., Navis, G., ... Levey, A.S.(2021). Chronic Kidney Disease Epidemiology Collaboration. New creatinine- and cystatin c-based equations to estimate GFR without race. N Engl J Med. 2021 Nov 4;385(19):1737-1749. doi: 10.1056/NEJMoa2102953. Epub 2021 Sep 23. PMID: 34554658; PMCID: PMC8822996 |
Citation |
CITATION - Kellum, J.A., Chawla, L.S., Keener, C., Singbartl, K., Palevsky, P.M., Pike, F.L., Yealy, D.M., Huang, D.T., Angus, D.C., & ProCESS and ProGReSS-AKI Investigators. (2016). The effects of alternative resuscitation strategies on acute kidney injury in patients with septic shock. American journal of respiratory and critical care medicine, 193(3), 281–287. doi: 10.1164/rccm.201505-0995OC. PMID: 26398704; PMCID: PMC4803059 |
Citation |
CITATION - Kidney Disease: Improving Global Outcomes (KDIGO). (2012). KDIGO 2012 Clinical practice guideline for acute kidney injury. Kidney International, Suppl. 2, 1–141. doi:10.1038/kisup.2012.2 |
Citation |
CITATION - Kirkendall, E.S., Spires, W.L., Mottes, T.A., Schaffzin, J.K., Barclay, C., & Goldstein, S.L. (2014). Development and performance of electronic acute kidney injury triggers to identify pediatric patients at risk for nephrotoxic medication-associated harm. Applied Clinical Informatics, 5(2), 313-333. doi: 10.4338/ACI-2013-12-RA-0102. PMID: 25024752; PMCID: PMC4081739 |
Citation |
CITATION - Lameire, N.H., Levin, A., Kellum, J.A., Cheung, M., Jadoul, M., Winkelmayer, W.C., Stevens, P.E., & Conference Participants. (2021). Harmonizing acute and chronic kidney disease definition and classification: report of a Kidney Disease: Improving Global Outcomes (KDIGO) Consensus Conference. Kidney International, 100(3), 516–526. https://doi.org/10.1016/j.kint.2021.06.028 |
Citation |
CITATION - Lopes, J. A., & Jorge, S. (2013). The RIFLE and AKIN classifications for acute kidney injury: A critical and comprehensive review. Clinical Kidney Journal, 6(1), 8-14. doi: 10.1093/ckj/sfs160. Epub 2012 Jan 1. PMID: 27818745; PMCID: PMC5094385 |
Citation |
CITATION - Meersch, M., Schmidt, C., Hoffmeier, A., Van Aken, H., Wempe, C., Gerss, J., & Zarbock, A. (2017). Prevention of cardiac surgery-associated AKI by implementing the KDIGO guidelines in high risk patients identified by biomarkers: the PrevAKI randomized controlled trial. Intensive care medicine, 43(11), 1551–1561. doi: 10.1007/s00134-016-4670-3. Epub 2017 Jan 21. Erratum in: Intensive Care Med. 2017 Mar 7;: PMID: 28110412; PMCID: PMC5633630 |
Citation |
CITATION - Nijssen, E.C., Rennenberg, R J., Nelemans, P.J., Essers, B.A., Janssen, M.M., Vermeeren, M.A., Ommen, V.V., & Wildberger, J.E. (2017). Prophylactic hydration to protect renal function from intravascular iodinated contrast material in patients at high risk of contrast-induced nephropathy (AMACING): a prospective, randomised, phase 3, controlled, open-label, non-inferiority trial. Lancet (London, England), 389(10076), 1312–1322. doi: 10.1016/S0140-6736(17)30057-0. Epub 2017 Feb 21. PMID: 28233565 |
Citation |
CITATION - Ostermann, M., Bellomo, R., Burdmann, E.A., Doi, K., Endre, Z.H., Goldstein, S.L., Kane-Gill, S.L., Liu, K.D., Prowle, J.R., Shaw, A.D., Srisawat, N., Cheung, M., Jadoul, M., Winkelmayer, W.C., Kellum, J.A., & Conference Participants. (2020). Controversies in acute kidney injury: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Conference. Kidney international, 98(2), 294–309. doi: 10.1016/j.kint.2020.04.020. Epub 2020 Apr 26. PMID: 32709292; PMCID: PMC8481001 |
Citation |
CITATION - Porter, C.J., Juurlink, I., Bisset, L.H., Bavakunji, R., Mehta, R.L., & Devonald, M.A. (2014). A real-time electronic alert to improve detection of acute kidney injury in a large teaching hospital. Nephrol Dial Transplant, 29(10), 1888-1893. doi: 10.1093/ndt/gfu082 |
Citation |
CITATION - Schwager, E., Ghosh, E., Eshelman, L., Pasupathy, K.S., Barreto, E.F., & Kashani, K. (2023). Accurate and interpretable prediction of ICU-acquired AKI. Journal of critical care, 75, 154278. https://doi.org/10.1016/j.jcrc.2023.154278 |
Citation |
CITATION - Selby, N.M., Crowley, L., Fluck, R.J., McIntyre, C.W., Monaghan, J., Lawson, N., & Kolhe, N.V. (2012). Use of electronic results reporting to diagnose and monitor AKI in hospitalized patients. Clinical Journal of The American Society of Nephrology: CJASN, 7(4), 533-540. doi: 10.2215/CJN.08970911. Epub 2012 Feb 23. PMID: 22362062 |
Citation |
CITATION - Self, W.H., Semler, M.W., Wanderer, J.P., Wang, L., Byrne, D.W., Collins, S.P., Slovis, C.M., Lindsell, C.J., Ehrenfeld, J.M., Siew, E.D., Shaw, A.D., Bernard, G.R., Rice, T.W., & SALT-ED Investigators. (2018). Balanced crystalloids versus saline in noncritically ill adults. The New England journal of medicine, 378(9), 819–828. doi: 10.1056/NEJMoa1711586. Epub 2018 Feb 27. PMID: 29485926; PMCID: PMC5846618 |
Citation |
CITATION - Thongprayoon, C., Hansrivijit, P., Kovvuru, K., Kanduri, S.R., Torres-Ortiz, A., Acharya, P., Gonzalez-Suarez, M.L., Kaewput, W., Bathini, T., & Cheungpasitporn, W. (2020). Diagnostics, risk factors, treatment and outcomes of acute kidney injury in a new paradigm. Journal of clinical medicine, 9(4), 1104. https://doi.org/10.3390/jcm9041104 |
Citation |
CITATION - Wilson, F. P., Yang, W., & Feldman, H.I. (2013). Predictors of death and dialysis in severe AKI: The UPHS-AKI cohort. Clinical Journal of the American Society of Nephrology, 8(4), 527-537. doi: 10.2215/cjn.06450612 |
Citation |
CITATION - Wilson, F.P., Reese, P.P., Shashaty, M.G., Ellenberg, S.S., Gitelman, Y., Bansal, A.D., & Fuchs, B. (2014). A trial of in-hospital, electronic alerts for acute kidney injury: Design and rationale. Clinical Trials, 11(5), 521-529. doi: 10.1177/1740774514542619. Epub 2014 Jul 14. PMID: 25023200; PMCID: PMC4156885 |
Citation |
CITATION - Zarbock, A., Kellum, J.A., Schmidt, C., Van Aken, H., Wempe, C., Pavenstädt, H., Boanta, A., Gerß, J., & Meersch, M. (2016). Effect of early vs delayed initiation of renal replacement therapy on mortality in critically ill patients with acute kidney injury: The ELAIN Randomized Clinical Trial. JAMA, 315(20), 2190–2199. doi: 10.1001/jama.2016.5828. PMID: 27209269 |
Guidance (Usage) | A patient characteristic of male or female sex is required as part of the initial population criteria, as sex is crucial to this measure. For example: - The eGFR estimating equation that is used to identify AKI is sex-specific; and - The reference ranges for the serum creatinine value are sex-specific, which matters because the serum creatinine must rise to a sex-specific abnormal value to be flagged as AKI. Exclude encounters that do not have at least two serum creatine values within 48 hours of arrival. Two values are needed within this timeframe to determine if the patient has AKI or moderate-to-severe renal dysfunction on arrival. For encounters for patients without harm, as identified by 2 times increase in serum creatinine, query for initiation of renal dialysis during hospitalization, defined by the start of dialysis occurring during the encounter. - If dialysis starts more than 48 hours after the start of the encounter, this meets numerator criteria. - If dialysis starts 48 hours or less after the start of the encounter, this meets denominator exclusion criteria. Encounters for patients with an increase in serum creatinine value of at least 0.3 mg/dL between the index serum creatinine and any subsequent serum creatinine taken within 48 hours of the encounter start are excluded. Due to the variability of decimal precision within programming languages and calculation tools, the value of >=0.3 mg/dL is expressed in the logic as >0.299 mg/dL. Note the measure is currently confined to using mg/dL as the unit of measurement for creatinine and mL/min as the unit of measurement for eGFR results. When reporting the first body temperature for risk adjustment, values from either Celsius or Fahrenheit readings are acceptable to report but Celsius readings are preferred. This eCQM is an episode-based measure. An episode is defined as each inpatient hospitalization or encounter that ends during the measurement period. This FHIR-based measure has been derived from the QDM-based measure: CMS832v3. Please refer to the HL7 QI-Core Implementation Guide (https://hl7.org/fhir/us/qicore/STU6/) for more information on QI-Core and mapping recommendations from QDM to QI-Core STU 6 (https://hl7.org/fhir/us/qicore/STU6/qdm-to-qicore.html). |
Measure Group (Rate) (ID: Group_1) | |
Basis | Encounter |
Scoring | Proportion |
Type | Outcome |
Rate Aggregation | None |
Improvement Notation | increase |
Initial Population |
ID: InitialPopulation_1
Description: Inpatient hospitalizations that end during the measurement period for patients 18 years of age or older without an obstetrical or pregnancy related condition, with a length of stay of 48 hours or longer, and who had at least one serum creatinine value after 48 hours from the start of the hospitalization Logic Definition: Initial Population |
Denominator |
ID: Denominator_1
Description: Equals Initial Population Logic Definition: Denominator |
Denominator Exclusion |
ID: DenominatorExclusion_1
Description: Inpatient hospitalizations for patients with an increase in serum creatinine value of at least 0.3 mg/dL between the index serum creatinine and a subsequent serum creatinine taken within 48 hours of the encounter start. Inpatient hospitalizations for patients with the index eGFR value of <60 mL/min within 48 hours of the encounter start. Inpatient hospitalizations for patients who have less than two serum creatinine results within the first 48 hours of the encounter start. Inpatient hospitalizations for patients who have kidney dialysis (CRRT, hemodialysis or peritoneal dialysis) initiated 48 hours or less after the encounter start, and who do not have evidence of a 2 times increase in serum creatinine. Inpatient hospitalizations for patients with at least one specified diagnosis present on admission during the encounter that puts them at extremely high risk for AKI: - Hemolytic Uremic Syndrome (HUS) - Large Body Surface Area (BSA) Burns - Traumatic Avulsion of Kidney - Rapidly Progressive Nephritic Syndrome - Thrombotic Thrombocytopenic Purpura - Out of Hospital Cardiac Arrest (OHCA) Inpatient hospitalizations for patients who have at least one specified procedure that starts during the encounter that puts them at extremely high risk for AKI: - Extracorporeal membrane oxygenation (ECMO) - Intra-Aortic Balloon Pump - Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) - Nephrectomy Logic Definition: Denominator Exclusion |
Numerator |
ID: Numerator_1
Description: Inpatient hospitalizations for patients who develop AKI (stage 2 or greater) during the encounter, as evidenced by: A subsequent increase in serum creatinine value at least 2 times higher than the lowest serum creatinine value, and the increased value is greater than the highest sex-specific normal value for serum creatinine. Or: Kidney dialysis (CRRT, hemodialysis or peritoneal dialysis) initiated more than 48 hours after the start of the encounter. Evidence of a 2 times increase in serum creatinine is not required. Only one harm is counted per encounter. Logic Definition: Numerator |
Supplemental Data Guidance | For every patient evaluated by this measure also identify payer, race, ethnicity and sex |
Supplemental Data Guidance | Sex and Age. First vital signs since the encounter start: - Heart Rate - Respiratory Rate - Systolic Blood Pressure - Temperature. The estimated glomerular filtration rate (eGFR) which is calculated using the index serum creatinine, patient sex, and age-based formula. Patient sex collected for risk adjustment and to calculate the eGFR is determined by the AdministrativeGender codes 'F' (female) and 'M' (male). These codes make up the "ONC Administrative Sex" value set and are also used to derive the supplemental data element of patient sex for the measure. All encounter diagnoses along with their present on admission (POA) indicators are being collected for the development of baseline risk adjustment model with initial focus on any encounter diagnoses captured for: - Cancer (leukemia, lymphoma, or metastatic cancer) - Diabetes - Heart failure - Hypertension - Obesity Encounter length of stay. Please see the Hospital Harm - Acute Kidney Injury Risk Adjustment Methodology Report on the eCQM-specific page on the eCQI Resource Center website: https://ecqi.healthit.gov/ |
Supplemental Data Elements | |
Supplemental Data Element |
ID: sde-ethnicity
Usage Code: Supplemental Data Description: SDE Ethnicity Logic Definition: SDE Ethnicity |
Supplemental Data Element |
ID: sde-payer
Usage Code: Supplemental Data Description: SDE Payer Logic Definition: SDE Payer |
Supplemental Data Element |
ID: sde-race
Usage Code: Supplemental Data Description: SDE Race Logic Definition: SDE Race |
Supplemental Data Element |
ID: sde-sex
Usage Code: Supplemental Data Description: SDE Sex Logic Definition: SDE Sex |
Supplemental Data Element |
ID: risk-variable-estimated-glomerular-filtration-rate-for-females
Usage Code: Risk Adjustment Factor Description: Risk Variable Estimated Glomerular Filtration Rate for Females Logic Definition: Risk Variable Estimated Glomerular Filtration Rate for Females |
Supplemental Data Element |
ID: risk-variable-estimated-glomerular-filtration-rate-for-males
Usage Code: Risk Adjustment Factor Description: Risk Variable Estimated Glomerular Filtration Rate for Males Logic Definition: Risk Variable Estimated Glomerular Filtration Rate for Males |
Supplemental Data Element |
ID: risk-variable-all-encounter-diagnoses-with-poa-indication
Usage Code: Risk Adjustment Factor Description: Risk Variable All Encounter Diagnoses with POA Indication Logic Definition: Risk Variable All Encounter Diagnoses with POA Indication |
Supplemental Data Element |
ID: risk-variable-first-heart-rate-in-encounter
Usage Code: Risk Adjustment Factor Description: Risk Variable First Heart Rate in Encounter Logic Definition: Risk Variable First Heart Rate in Encounter |
Supplemental Data Element |
ID: risk-variable-first-respiratory-rate-in-encounter
Usage Code: Risk Adjustment Factor Description: Risk Variable First Respiratory Rate in Encounter Logic Definition: Risk Variable First Respiratory Rate in Encounter |
Supplemental Data Element |
ID: risk-variable-first-systolic-blood-pressure-in-encounter
Usage Code: Risk Adjustment Factor Description: Risk Variable First Systolic Blood Pressure in Encounter Logic Definition: Risk Variable First Systolic Blood Pressure in Encounter |
Supplemental Data Element |
ID: risk-variable-first-temperature-in-encounter
Usage Code: Risk Adjustment Factor Description: Risk Variable First Temperature in Encounter Logic Definition: Risk Variable First Temperature in Encounter |
Measure Logic | |
Primary Library | CMS832HHAKIFHIR |
Contents |
Population Criteria
Logic Definitions Terminology Dependencies Data Requirements |
Population Criteria | |
Measure Group (Rate) (ID: Group_1) | |
Initial Population | |
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Denominator | |
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Denominator Exclusion | |
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Numerator | |
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Logic Definitions | |
Logic Definition | Library Name: SupplementalDataElements |
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Logic Definition | Library Name: SupplementalDataElements |
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Logic Definition | Library Name: SupplementalDataElements |
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Logic Definition | Library Name: SupplementalDataElements |
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Logic Definition | Library Name: CQMCommon |
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Logic Definition | Library Name: CQMCommon |
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Logic Definition | Library Name: FHIRHelpers |
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Logic Definition | Library Name: FHIRHelpers |
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Logic Definition | Library Name: FHIRHelpers |
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Logic Definition | Library Name: FHIRHelpers |
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Logic Definition | Library Name: QICoreCommon |
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Logic Definition | Library Name: QICoreCommon |
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Logic Definition | Library Name: QICoreCommon |
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Logic Definition | Library Name: QICoreCommon |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Logic Definition | Library Name: CMS832HHAKIFHIR |
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Terminology | |
Code System |
Description: Code system LOINC
Resource: Logical Observation Identifiers, Names and Codes (LOINC) Canonical URL: http://loinc.org |
Code System |
Description: Code system SNOMEDCT
Resource: SNOMED CT (all versions) Canonical URL: http://snomed.info/sct |
Code System |
Description: Code system ObservationCategoryCodes
Resource: Observation Category Codes Canonical URL: http://terminology.hl7.org/CodeSystem/observation-category |
Value Set |
Description: Value set Encounter Inpatient
Resource: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113883.3.666.5.307
Canonical URL: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113883.3.666.5.307 |
Value Set |
Description: Value set Observation Services
Resource: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1111.143
Canonical URL: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1111.143 |
Value Set |
Description: Value set Emergency Department Visit
Resource: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113883.3.117.1.7.1.292
Canonical URL: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113883.3.117.1.7.1.292 |
Value Set |
Description: Value set Creatinine Mass Per Volume
Resource: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1248.21
Canonical URL: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1248.21 |
Value Set |
Description: Value set Obstetrics and VTE Obstetrics
Resource: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1248.33
Canonical URL: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1248.33 |
Value Set |
Description: Value set Present on Admission or Clinically Undetermined
Resource: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1147.197
Canonical URL: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1147.197 |
Value Set |
Description: Value set Hospital Based Dialysis Services
Resource: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1248.199
Canonical URL: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1248.199 |
Value Set |
Description: Value set Body temperature
Resource: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1045.152
Canonical URL: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1045.152 |
Value Set |
Description: Value set Payer Type
Resource: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.114222.4.11.3591
Canonical URL: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.114222.4.11.3591 |
Value Set |
Description: Value set High Risk Diagnosis for AKI
Resource: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1248.12
Canonical URL: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1248.12 |
Value Set |
Description: Value set High Risk Procedures for AKI
Resource: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1248.19
Canonical URL: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1248.19 |
Direct Reference Code |
Display: Respiratory rate
Code: 9279-1 System: http://loinc.org |
Direct Reference Code |
Display: Male (finding)
Code: 248153007 System: http://snomed.info/sct |
Direct Reference Code |
Display: Female (finding)
Code: 248152002 System: http://snomed.info/sct |
Direct Reference Code |
Display: Laboratory
Code: laboratory System: http://terminology.hl7.org/CodeSystem/observation-category |
Direct Reference Code |
Display: Systolic blood pressure
Code: 8480-6 System: http://loinc.org |
Direct Reference Code |
Display: Heart rate
Code: 8867-4 System: http://loinc.org |
Dependencies | |
Dependency |
Description: Library FHIRHelpers
Resource: FHIRHelpersversion: null4.4.000) Canonical URL: https://madie.cms.gov/Library/FHIRHelpers|4.4.000 |
Dependency |
Description: Library CQMCommon
Resource: CQMCommonversion: null4.1.000) Canonical URL: https://madie.cms.gov/Library/CQMCommon|4.1.000 |
Dependency |
Description: Library QICoreCommon
Resource: QICoreCommonversion: null4.0.000) Canonical URL: https://madie.cms.gov/Library/QICoreCommon|4.0.000 |
Dependency |
Description: Library SDE
Resource: SupplementalDataElementsversion: null5.1.000) Canonical URL: https://madie.cms.gov/Library/SupplementalDataElements|5.1.000 |
Data Requirements | |
Data Requirement |
Type: Patient
Profile(s): http://hl7.org/fhir/us/qicore/StructureDefinition/qicore-patient
Must Support Elements: extension, url, birthDate, birthDate.value |
Data Requirement |
Type: Encounter
Profile(s): http://hl7.org/fhir/us/qicore/StructureDefinition/qicore-encounter
Must Support Elements: type, status, status.value, period, id, id.value Code Filter(s): Path: type ValueSet: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1111.143
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Data Requirement |
Type: Encounter
Profile(s): http://hl7.org/fhir/us/qicore/StructureDefinition/qicore-encounter
Must Support Elements: type, status, status.value, period, id, id.value Code Filter(s): Path: type ValueSet: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113883.3.117.1.7.1.292
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Data Requirement |
Type: Encounter
Profile(s): http://hl7.org/fhir/us/qicore/StructureDefinition/qicore-encounter
Must Support Elements: type, period, id, id.value Code Filter(s): Path: type ValueSet: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113883.3.666.5.307
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Data Requirement |
Type: Encounter
Profile(s): http://hl7.org/fhir/us/qicore/StructureDefinition/qicore-encounter
Must Support Elements: id, period, id.value |
Data Requirement |
Type: Observation
Profile(s): http://hl7.org/fhir/us/qicore/StructureDefinition/qicore-observation-lab
Must Support Elements: code, effective, value, status, status.value, id, id.value, issued, issued.value Code Filter(s): Path: code ValueSet: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1248.21
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Data Requirement |
Type: Condition
Profile(s): http://hl7.org/fhir/us/qicore/StructureDefinition/qicore-condition-encounter-diagnosis
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Data Requirement |
Type: Condition
Profile(s): http://hl7.org/fhir/us/qicore/StructureDefinition/qicore-condition-problems-health-concerns
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Data Requirement |
Type: Observation
Profile(s): http://hl7.org/fhir/us/core/StructureDefinition/us-core-respiratory-rate
Must Support Elements: code, effective, value Code Filter(s): Path: code Code(s): LOINC 9279-1: Respiratory rate |
Data Requirement |
Type: Observation
Profile(s): http://hl7.org/fhir/us/core/StructureDefinition/us-core-respiratory-rate
Must Support Elements: value |
Data Requirement |
Type: Resource
Profile(s): Resource Must Support Elements: id, id.value |
Data Requirement |
Type: Claim
Profile(s): http://hl7.org/fhir/us/qicore/StructureDefinition/qicore-claim
Must Support Elements: status, status.value, use, use.value, item, diagnosis |
Data Requirement |
Type: Procedure
Profile(s): http://hl7.org/fhir/us/qicore/StructureDefinition/qicore-procedure
Must Support Elements: code, performed Code Filter(s): Path: code ValueSet: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1248.199
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Data Requirement |
Type: Procedure
Profile(s): http://hl7.org/fhir/us/qicore/StructureDefinition/qicore-procedure
Must Support Elements: code, performed Code Filter(s): Path: code ValueSet: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1248.19
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Data Requirement |
Type: Observation
Profile(s): http://hl7.org/fhir/us/core/StructureDefinition/us-core-blood-pressure
Must Support Elements: effective, component |
Data Requirement |
Type: Observation
Profile(s): http://hl7.org/fhir/us/core/StructureDefinition/us-core-body-temperature
Must Support Elements: code, effective, value Code Filter(s): Path: code ValueSet: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.113762.1.4.1045.152
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Data Requirement |
Type: Observation
Profile(s): http://hl7.org/fhir/us/core/StructureDefinition/us-core-body-temperature
Must Support Elements: value |
Data Requirement |
Type: Coverage
Profile(s): http://hl7.org/fhir/us/qicore/StructureDefinition/qicore-coverage
Must Support Elements: type, period Code Filter(s): Path: type ValueSet: http://cts.nlm.nih.gov/fhir/ValueSet/2.16.840.1.114222.4.11.3591
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Data Requirement |
Type: Observation
Profile(s): http://hl7.org/fhir/us/core/StructureDefinition/us-core-heart-rate
Must Support Elements: code, effective, value Code Filter(s): Path: code Code(s): LOINC 8867-4: Heart rate |
Data Requirement |
Type: Observation
Profile(s): http://hl7.org/fhir/us/core/StructureDefinition/us-core-heart-rate
Must Support Elements: value |
Generated using version 0.4.8 of the sample-content-ig Liquid templates |