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Diabetes Progression Study

Building research cohort with AI-powered natural language querying

IRB #23-456 PI: Dr. Elena Martinez
Examples:

AI Understanding of Your Query

DIAGNOSIS
Type 2 Diabetes
ICD-10: E11.9
Dx in last 5 years
DEMOGRAPHICS
Age 40-65
Age at enrollment
Any gender
LAB VALUES
A1C > 8.0%
Most recent value
LOINC: 4548-4
UTILIZATION
ER for Hyperglycemia
≥1 visit
ICD-10: R73.9
EXCLUSION
No history of DKA
ICD-10: E11.10
Criteria will be applied across all patient data sources

Matched Patients (73)

Processed 15,429 records in 4.2 seconds

Cohort Characteristics

Age Distribution
Age Groups
A1C Distribution
A1C Values
Comorbidities
HTN Obesity CKD

Avg. Age

52.4

years

Avg. A1C

9.2%

most recent

Gender

58% M

42% F

Avg. ER Visits

1.8

per patient

AI Research Insights

This cohort shows several interesting characteristics:

  • 73% of patients are on at least two diabetes medications, suggesting treatment intensification has been attempted
  • Despite ER visits for hyperglycemia, 64% have gaps in outpatient follow-up care
  • 41% have documented social determinants of health factors that may impact care
  • Only 29% have documented diabetes education within the last year

These patterns suggest opportunities for intervention focused on care coordination, education, and addressing social barriers.

Patient Sample (5 of 73)

  • James Wilson

    • MRN: 42389-1

    48M
    A1C: 9.8%
    Dx: 03/2022

  • Maria Gonzalez

    • MRN: 58912-3

    54F
    A1C: 8.7%
    Dx: 11/2021

  • Robert Johnson

    • MRN: 34521-9

    61M
    A1C: 8.2%
    Dx: 06/2023