ecqm.unions

Combination Risk Factors Applicable Any Time Union

Description:

Based On: Union11

Used By:

• CMS249v1

QDM Attributes

ChronicLiverDiseaseDiagnosis

Clinical Focus: This set of values contains codes that identify patients with a diagnosis of chronic liver disease.

Data Element Scope: This value set is developed for the diagnosis QDM datatype. It can potentially be used for other datatypes as well.

Inclusion Criteria: Include all diagnosis codes associated with chronic liver disease that are not substance-induced.

Exclusion Criteria: N/A

ResultValue constrained to codes in the Chronic Liver Disease valueset (2.16.840.1.113883.3.464.1003.199.12.1035)

Diagnosis: Condition/Diagnosis/Problem represents a practitioner’s identification of a patient’s disease, illness, injury, or condition. This category contains a single datatype to represent all of these concepts: Diagnosis. A practitioner determines the diagnosis by means of examination, diagnostic test results, patient history, and/or family history. Diagnoses are usually considered unfavorable, but may also represent neutral or favorable conditions that affect a patient’s plan of care (e.g., pregnancy). The QDM does not prescribe the source of diagnosis data in the EHR. Diagnoses may be found in a patient’s problem list, encounter diagnosis list, claims data, or other sources within the EHR. The preferred terminology for diagnoses is SNOMED-CT, but diagnoses may also be encoded using ICD-9/10. The Diagnosis datatype should not be used for differential diagnoses or rule-out diagnoses (neither of which are currently supported by the QDM).

DataType

Cardinality

ChronicLiverDiseaseDiagnosis

0..*

ChronicMalnutritionDiagnosis

Clinical Focus: This set of values contains codes that identify patients with a diagnosis of chronic malnutrition.

Data Element Scope: This value set is developed for the diagnosis QDM datatype. It can potentially be used for other datatypes as well.

Inclusion Criteria: Include all diagnosis codes for specified and unspecified eating disorders.

Exclusion Criteria: Exclude all diagnosis codes for feeding disorders of infancy or childhood. These include feeding disturbances, developmental delays, loss of appetite, & rumination. Also avoide restrictive food intake disorders, and pica.

ResultValue constrained to codes in the Chronic Malnutrition valueset (2.16.840.1.113883.3.464.1003.199.12.1036)

Diagnosis: Condition/Diagnosis/Problem represents a practitioner’s identification of a patient’s disease, illness, injury, or condition. This category contains a single datatype to represent all of these concepts: Diagnosis. A practitioner determines the diagnosis by means of examination, diagnostic test results, patient history, and/or family history. Diagnoses are usually considered unfavorable, but may also represent neutral or favorable conditions that affect a patient’s plan of care (e.g., pregnancy). The QDM does not prescribe the source of diagnosis data in the EHR. Diagnoses may be found in a patient’s problem list, encounter diagnosis list, claims data, or other sources within the EHR. The preferred terminology for diagnoses is SNOMED-CT, but diagnoses may also be encoded using ICD-9/10. The Diagnosis datatype should not be used for differential diagnoses or rule-out diagnoses (neither of which are currently supported by the QDM).

DataType

Cardinality

ChronicMalnutritionDiagnosis

0..*

HyperthyroidismDiagnosis

Clinical Focus: This set of values contains codes that identify patients with a diagnosis of Hyperthyroidism.

Data Element Scope: This value set is developed for the diagnosis QDM datatype. It can potentially be used for other datatypes as well.

Inclusion Criteria: Includes diagnosis codes for thyrotoxicosis, both with and without thyrotoxic crisis or storm, and with and without presence of goiter.

Exclusion Criteria: Excludes diagnosis codes for neonatal thyrotoxicosis.

ResultValue constrained to codes in the Hyperthyroidism valueset (2.16.840.1.113883.3.464.1003.117.12.1015)

Diagnosis: Condition/Diagnosis/Problem represents a practitioner’s identification of a patient’s disease, illness, injury, or condition. This category contains a single datatype to represent all of these concepts: Diagnosis. A practitioner determines the diagnosis by means of examination, diagnostic test results, patient history, and/or family history. Diagnoses are usually considered unfavorable, but may also represent neutral or favorable conditions that affect a patient’s plan of care (e.g., pregnancy). The QDM does not prescribe the source of diagnosis data in the EHR. Diagnoses may be found in a patient’s problem list, encounter diagnosis list, claims data, or other sources within the EHR. The preferred terminology for diagnoses is SNOMED-CT, but diagnoses may also be encoded using ICD-9/10. The Diagnosis datatype should not be used for differential diagnoses or rule-out diagnoses (neither of which are currently supported by the QDM).

DataType

Cardinality

HyperthyroidismDiagnosis

0..*

MalabsorptionSyndromesDiagnosis

Clinical Focus: This set of values contains codes that are used to identify patients with a diagnosis of chronic intestinal malabsorption.

Data Element Scope: This value set is developed for the diagnosis QDM datatype. It can potentially be used for other datatypes as well.

Inclusion Criteria: Includes regional enteritis, ulcerative enterocolitis, celiac disease, tropical sprue, blind loop syndrome, Pancreatic steatorrhea, and other specified or unspecified intestinal malabsorption disorders.

Exclusion Criteria: Excludes diagnoses of specified disorders of the intestine, including fistula of intesting, ulceration of intesting, performation of intestine, angiodysplasia (with or without hemmorrhage

ResultValue constrained to codes in the Malabsorption Syndromes valueset (2.16.840.1.113883.3.464.1003.199.12.1050)

Diagnosis: Condition/Diagnosis/Problem represents a practitioner’s identification of a patient’s disease, illness, injury, or condition. This category contains a single datatype to represent all of these concepts: Diagnosis. A practitioner determines the diagnosis by means of examination, diagnostic test results, patient history, and/or family history. Diagnoses are usually considered unfavorable, but may also represent neutral or favorable conditions that affect a patient’s plan of care (e.g., pregnancy). The QDM does not prescribe the source of diagnosis data in the EHR. Diagnoses may be found in a patient’s problem list, encounter diagnosis list, claims data, or other sources within the EHR. The preferred terminology for diagnoses is SNOMED-CT, but diagnoses may also be encoded using ICD-9/10. The Diagnosis datatype should not be used for differential diagnoses or rule-out diagnoses (neither of which are currently supported by the QDM).

DataType

Cardinality

MalabsorptionSyndromesDiagnosis

0..*

RheumatoidArthritisDiagnosis

Clinical Focus: This set of values contains diagnosis codes that are used to identify patients with Rheumatoid arthritis.

Data Element Scope: This value set is developed for the diagnosis QDM datatype. It can potentially be used for other datatypes as well.

Inclusion Criteria: Includes rheumatoid arthritis and felty's syndrome. Includes comorbidities occuring with rheumatoid arthritis, such as rheumatoid polyneuropathy, rheumatoid myopathy, rheumatoid heart disease, rheumatoid vasculitis, and rheumatoid lung disease.

Exclusion Criteria: Exclude codes for Juvenile chronic polyarthritis, Chronic postrheumatic arthropathy, or inflammatory polyarhtropathy.

ResultValue constrained to codes in the Rheumatoid Arthritis valueset (2.16.840.1.113883.3.464.1003.113.12.1005)

Diagnosis: Condition/Diagnosis/Problem represents a practitioner’s identification of a patient’s disease, illness, injury, or condition. This category contains a single datatype to represent all of these concepts: Diagnosis. A practitioner determines the diagnosis by means of examination, diagnostic test results, patient history, and/or family history. Diagnoses are usually considered unfavorable, but may also represent neutral or favorable conditions that affect a patient’s plan of care (e.g., pregnancy). The QDM does not prescribe the source of diagnosis data in the EHR. Diagnoses may be found in a patient’s problem list, encounter diagnosis list, claims data, or other sources within the EHR. The preferred terminology for diagnoses is SNOMED-CT, but diagnoses may also be encoded using ICD-9/10. The Diagnosis datatype should not be used for differential diagnoses or rule-out diagnoses (neither of which are currently supported by the QDM).

DataType

Cardinality

RheumatoidArthritisDiagnosis

0..*