| Longitudinal Maternal & Infant Health Information for Research |
| According to the 2021 Aspen Health Strategy Group report on “Reversing the U.S. Maternal Mortality Crisis”, 700 women die each year as the result of pregnancy or delivery complications, and 50,000 more face short-term or long-term health consequences because of pregnancy or labor. The U.S. has the highest maternal mortality rate of any high-income nation in the world (17.4 maternal deaths per 100,000 live births) according to The Commonwealth Fund. While rates of maternal mortality have been decreasing in other countries, they have been rising in the United States since 1987. Data are not standardized and data exchange in not interoperable across many settings, which impedes research on maternal morbidity, longitudinal maternal care, and associated impacts to infant and infant health. |
| Test an (Measure/CQF) Implementation Guide |
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| Lantana Consulting Group EHR Data Sources (Clinical Data Sources) Measure evaluators (ImmPort, Kids First Data, etc.) |
| - Clinical Data Sources (servers) will be able to support storing, receiving, and processing all resources specified in the measures of this IG (e.g. Encounter, Condition, Observation, Patient, RelatedPerson)
- Consumers (measure evaluators) implementing this IG shall support measure evaluation using CQL
- Clients shall supply all resources necessary for measure evaluation
- Clients shall support RESTful operations that allow interaction with the server (such as GET, POST, PUT)
- Clients may use a REST client such as Postman for the purposes of this Connectathon
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| Dave deRoode |
| david.deroode@lantanagroup.com |
| https://build.fhir.org/ig/HL7/fhir-mmm-ig/ |
| https://chat.fhir.org/#narrow/stream/179290-research/topic/Connectathon.3A.20Maternal.20Health.20Research.20Track |
| TBD |
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| - Data Source: Health Information Exchanges, clinical EHRs (ambulatory, inpatient) possibly for Ob/Gyn, birthing/delivery settings, pediatricians.
- Data Receiver: Maternal Health Researchers (academic, federal, etc.) using data provided by the Data Source to evaluate measures.
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| System roles: See above
Role 1 Name: Scenarios Scenario 1: Evaluate FHIR Data Against Hypertensive Disorders of Pregnancy and Pregnancy Related Deaths measures Actions: - Data Source to provide FHIR data sufficient to test the measures, including the linkage between mother and child. Data may be as raw XML/JSON files or posted to a FHIR server.
- Data Receiver to execute $evaluate-measure for 2 measure instances defines in IG
Precondition: Data Source has FHIR data necessary to evaluate the Hypertensive Disorders of Pregnancy and Pregnancy Related Deaths measures.
Success Criteria: For a given patient, provide researcher actor with accurate calculation of Patient inclusion/exclusion in (1) Hypertensive Disorders of Pregnancy measure instance and (2) death-related measure instance
Scenario 2: Convert C-CDA Data and Evaluate FHIR Data Against Hypertensive Disorders of Pregnancy and Pregnancy Related Deaths measures
Actions: - Data Source to provide FHIR data sufficient to test the measures, including the linkage between mother and child. Data will be provided in C-CDA format with the linkage between mother and child.
- Data Receiver transforms CCDA into FHIR and confirm resulting FHIR data adheres to standard FHIR guidance for appropriate linkage between mother and child
- Data Receiver to execute $evaluate-measure for 2 measure instances defines in IG
Precondition: Data Source has C-CDA data necessary to evaluate the Hypertensive Disorders of Pregnancy and Pregnancy Related Deaths measures.
Success Criteria: For a given patient, provide researcher actor with accurate calculation of Patient inclusion/exclusion in (1) Hypertensive Disorders of Pregnancy measure instance and (2) death-related measure instance
Scenario Step 1 Name Action:
Security and Privacy Considerations: |
