USCDI Export for the Public
Classification Level Sort descending | Data Class | Data Class Description | Data Element | Data Element Description | Applicable Standards | Submitter Name | Submitter Organization | Submission Date |
---|---|---|---|---|---|---|---|---|
Level 0 | Cancer Care | Structure Type | Defines if the radiation therapy structure a target structure (e.g. PTV, CTV, GTV) or an organ at risk. Standard Values (List): Target; Organ at Risk |
Elizabeth Covington | University of Michigan | |||
Level 0 | Cancer Care | Radiation Therapy Prescription Number of Sessions Per Week | The number of radiation therapy treatment sessions delivered per week. Some radiation therapy protocols do not deliver treatment every day. |
Elizabeth Covington | University of Michigan | |||
Level 0 | Outcomes | Recorder | Who recorded the adverse event |
HL7.org FHIR R4 v4.0 |
Sandi Mitchell | J P Systems, Inc. | ||
Level 0 | Outcomes | Study | Research study that the subject is enrolled in |
HL7.org FHIR R4 v4.0 |
Sandi Mitchell | J P Systems, Inc. | ||
Level 0 | Outcomes | Participant(s) | Who was involved in the adverse event or the potential adverse event and what they did | HL7.org FHIR R4 v4.0 |
Sandi Mitchell | J P Systems, Inc. | ||
Level 0 | Cancer Care | Radiation Therapy Prescription Number of Sessions Per Day | Used to capture BID, TID and other approaches intentionally treating more than one radiation therapy session per day to enhance biological effect. |
Elizabeth Covington | University of Michigan | |||
Level 0 | Cancer Care | Number of Treatment Sessions | The intended number of sessions over which the prescribed radiation therapy will be delivered |
Elizabeth Covington | University of Michigan | |||
Level 0 | Cancer Care | Radiation Therapy Prescription Name of Radiation Therapy Prescription | Name of the radiation therapy prescription used to distinguish it from other prescriptions. |
Elizabeth Covington | University of Michigan | |||
Level 0 | Cancer Care | Radiation Therapy Course Target Dose Unit | Unit corresponding to numerical value of radiation dose (e.g. cGy) |
Elizabeth Covington | University of Michigan | |||
Level 0 | Outcomes | Contributing Factor | Contributing factors suspected to have increased the probability or severity of the adverse event |
HL7.org FHIR R4 v4.0 |
Sandi Mitchell | J P Systems, Inc. | ||
Level 0 | Cancer Care | Radiation Therapy Course Target Dose Volume | Radiation dose delivered to the target volume in fulfilling the prescription (e.g. 7200 cGy). |
Elizabeth Covington | University of Michigan | |||
Level 0 | Cancer Care | Radiation Therapy Course Target Dose Volume | Name of target volume structure for radiation therapy (e.g. Prostate). |
Elizabeth Covington | University of Michigan | |||
Level 0 | Cancer Care | Radiation Therapy Course Target Dose Volume | Identify targets and overall doses treated with the radiation therapy course. This supports systematic reporting what was done for treatment summaries. For example it enables identifying that the prostate received a dose of 7200 cGy. Where the prescription reflects intent, this element reflects what was delivered. |
Elizabeth Covington | University of Michigan | |||
Level 0 | Cancer Care | Radiation Therapy Course - Involves Reirradiation | Does the radiation field for the current course overlap with radiation fields from prior courses of therapy? |
Elizabeth Covington | University of Michigan | |||
Level 0 | Cancer Care | Radiation Therapy Course Number Of Sessions in Course | Total number of sessions in the treatment course. A session is the period between when the patient enters the treatment room and when they leave it. |
Elizabeth Covington | University of Michigan | |||
Level 0 | Cancer Care | Pathology Molecular Test Result | Score for the molecular test result identified. For example Pathology Molecular Test Name is ProMark, Result could be 30 |
American Joint Committee on Cancer e.g. AJCC8 |
Charles Mayo, PhD | University of Michigan | ||
Level 0 | Medications | Pharmacologic agents used in the diagnosis, cure, mitigation, treatment, or prevention of disease. |
Cannabinoids | As the use of medical cannabis, OTC cannabidiol (CBD), and adult use cannabis (medical marijuana), and recreational cannabis is more frequent - there is the potential for drug-drug interactions; and awareness for peri-operative elective or urgent surgical procedures and/or hospitalizations. It is not just the added sedation - and perhaps safer than opioids - but the emphasis here is that cannabinoids have the real potential to affect the metabolism of OTHER medications especially those that have a narrow therapeutic index or other medications that have high-protein binding. A standardized format will provide the foundation for drug-drug interaction screening - vs. a multitude of inconsistent entries. Although medical cannabis is technically DEA class-1; there is high probability that medical cannabis may be transitioned to DEA class-3 in the very near future (see recent CSR memo added to the 'Use Case' tab). Additionally, this idea is also for cannabidiol (CBD) which is over the counter (OTC) - so not just limited to prescription Epidiolex. Additionally, medical cannabis preparations often have unique dosage forms (e.g., badder, butter). |
Paul T. Kocis, PharmD, MPH | Dept of Pharmacology, Penn State College of Medicine | ||
Level 0 | Problems | Condition, diagnosis, or reason for seeking medical attention. |
Date of First Noted/Documented | Date of first noted/documented by a qualified professional of the presence of a problem or condition affecting a patient. |
Standard Date/Time formats |
Tayler Williams | American Medical Informatics Association (AMIA) | |
Level 0 | Referral | Referral Category | The classification of the referral, or the service being requested. For example a procedure, an intervention such as counseling or education, or a service. | HL7 FHIR US Core ServiceRequest Category Codes HL7 Service Request Category |
Grace Glennon, on behalf of NCQA | NCQA | ||
Level 0 | Laboratory | Analysis of clinical specimens to obtain information about the health of a patient. |
Test Result Harmonization Status | Harmonization status indicates equivalency of results across platforms and vendors, ie, a harmonized test for a particular analyte and specimen yield results equivalent to other harmonized tests for that analyte and specimen. Harmonization is required for full clinical interoperability of test results. Results from harmonized tests may be interpreted and trended together, and may use the same calculation and decision support rules. Machine learning models may be trained and applied to data sets from different test platforms and vendors if the tests are harmonized. Tests that are not harmonized do not yield comparable results and should be interpreted and processed separately, not in aggregate with other tests. Incorrect assumption of harmonization status is a serious patient safety risk, and lack of harmonization information impedes public health interpretation of test results. |
These proposed elements are a work in progress and the CAP urges that the vocabulary standards listed be considered for a future version of USCDI: Reference Range: Name and Address of Laboratory Location: Condition & Disposition of Specimens: Test Result Harmonization Status: |
Han Tran | College of American Pathologists (CAP) |