|Submitted By: Christopher M. Miller, MD / National Heart Lung and Blood Institute, NIH|
|Data Element Information|
|Use Case Description(s)|
|Use Case Description|| Development of a Sleep Data Commons, Sleep-OMICS, Sleep genotype-phenotype studies, Big Data and Sleep.
|Estimated number of stakeholders capturing, accessing using or exchanging||Sleep disorders are quite common and often go undiagnosed and therefore untreated, but can have a powerful and bidirectional influence on health. The American Sleep Association approximately 50 – 70 million adults in the U.S have a sleep disorder. With Obstructive Sleep Apnea being the most common with a prevalence of 2 – 4 percent in the general population. Sleep disorder, tests diagnoses, and treatments would consequently appear frequently in patient records,|
|Link to use case project page||https://academic.oup.com/jamia/article/25/10/1351/5026200|
|Maturity of Use and Technical Specifications for Data Element|
|Applicable Standard(s)||SNOMED CT, ICD-10/11 and HL7 all contain terminologies that cover Sleep Health.
International Statistical Classification of Diseases and Related Health Problems (11th ed,; ICD-11; World Health Organization, 2019)
|Current Use||In limited use in production environments|
Codes exist in ICD-11 and HL7.
|Number of organizations/individuals with which this data element has been electronically exchanged||N/A|
|Restrictions on Standardization (e.g. proprietary code)||Some sleep assessment tools may be proprietary and/ or require licensing and/or permission..|
|Restrictions on Use (e.g. licensing, user fees)||Some of the relevant standards may not by open source or publicly available.|
|Privacy and Security Concerns||There are no special privacy concerns with the use or exchange of this data elements tbeyond those that accompany other similar PII data.|
|Estimate of Overall Burden||The overall burden of implementation for this data element could be minimal to moderate in a local case or more substantial in a large scale data repository or surveillance project.
|Other Implementation Challenges||I am unaware of any specific additional challenges.|
|ONC Evaluation Details
Each submitted Data Element has been evaluated based on the following 4 criteria. The overall Level classification is a composite of the maturity based on these individual criteria. This information can be used to identify areas that require additional work to raise the overall classification level and consideration for inclusion in future versions of USCDI
|Maturity – Standards/Technical Specifications||Level 1/2 - Must be represented by a vocabulary standard or an element of a published technical specification|
|Maturity - Current Use||Comment Level - Used in limited test environments or pilots|
|Maturity - Current Exchange||Comment Level - Demonstrates limited exchange with external organizations, on same or different EHR/HIT systems|
|Breadth of Applicability - # Stakeholders Impacted||Comment Level - Used by few stakeholders, or for narrowly defined conditions or events|