Standardize clinical record data collected from multiple sites and sources

ID: B2AI_USECASE:17

Name: Standardize clinical record data collected from multiple sites and sources.

Description: Standardizing clinical record data across multiple sites and sources involves several steps, all with the goal of rendering it more usable in subsequent analyses. Data is first collected from electronic health records, clinical databases, surveys, and potentially other sources. Next, the data is cleaned and transformed to a consistent format. This may include removing duplicate records, filling in missing data, and standardizing field names and values. The data is then validated to ensure that it is accurate and complete. Standardized data is then integrated into a central repository.

Category: standardization

Involved in: Metadata Management, Quality Control

Data Topics:

• Demographic

• B2AI_TOPIC:4 (Clinical Observations)

• B2AI_TOPIC:9 (EHR)

• B2AI_TOPIC:18 (mHealth)

• B2AI_TOPIC:29 (SDoH)

• B2AI_TOPIC:31 (Survey)

Enables:

• B2AI_USECASE:26 (Develop pseudotime patient models of health and salutogenesis.)

• B2AI_USECASE:28 (Develop cross-sectional AI models of relationships between diabetes severity, cognitive function, and presence of biomarkers.)

• B2AI_USECASE:29 (Develop predictive models of insulin dependence and salutogenesis.)

Enabled by:

• B2AI_USECASE:1 (Obtain patient data from records of clinical visits.)

• B2AI_USECASE:5 (Obtain patient data from laboratory analysis, including serological testing and urinalysis.)

• B2AI_USECASE:6 (Obtain patient data from wearable devices.)

• B2AI_USECASE:9 (Obtain social determinants of health data from patients.)

• B2AI_USECASE:13 (Integrate clinical record data with voice data.)

Relevant to GCs:

• B2AI_ORG:114

• B2AI_ORG:115

• B2AI_ORG:117

Standards and Tools:

• B2AI_STANDARD:71

• B2AI_STANDARD:187

• B2AI_STANDARD:788

• B2AI_STANDARD:243

• B2AI_STANDARD:271

• B2AI_STANDARD:727

Contributor: Harry Caufield (ORCID:0000-0001-5705-7831)