Diaceutics Hemoglobin A1C Panel Dataset

The Diaceutics Hemoglobin A1C Panel Dataset provides structured, de-identified real-world data from over 600 US based laboratories, capturing diagnostic activity from Hemoglobin A1C lab tests. Each record reflects a unique test event, including the date results were reported (TEST_DATE).

Test-level results are captured at the LOINC level with fields such as RESULT_NAME and RESULT_VALUE, alongside clinical context fields like RESULT_REFERENCE_RANGE and RESULT_UNITS_OF_MEASURE. Patient-level data includes a hashed patient ID (PATIENT_ID) and gender (GENDER). The physician associated with the test is captured through PHYSICIAN_NPI.

This dataset enables users to define and analyze cohorts based on test name, LOINC, result thresholds, associated physician, gender, and year of birth. Diaceutics has the ability to support linkage (via Datavant tokens) to diagnosis codes or therapy exposures supports advanced stratification for real-world evidence (RWE) and health economics (HEOR) use cases. Common applications include diagnostic access planning, trial feasibility analysis, and test-defined patient segmentation.

Data is delivered through the Snowflake Marketplace under a contact-based access model. Diaceutics provides the dataset directly to your Snowflake environment with the ability to support deliveries as frequently as weekly.

Hemoglobin A1C is a key laboratory test used to evaluate long-term glucose regulation and assist in the diagnosis and management of diabetes mellitus. This assay measures the percentage of hemoglobin that is glycated, meaning glucose molecules are bound to hemoglobin within red blood cells. Because red blood cells have an average lifespan of approximately 120 days, the HbA1c level reflects the average plasma glucose concentration over the previous 2–3 months, providing a more stable indicator of glycemic control than daily glucose measurements.<br/><br/>Clinically, HbA1c is used to:<br/>• Diagnose diabetes and prediabetes, in conjunction with fasting glucose or oral glucose tolerance testing.<br/>• Monitor the effectiveness of diabetes management, including lifestyle and pharmacologic interventions.<br/>• Assess long-term risk for diabetes-related complications such as neuropathy, nephropathy, and retinopathy.

原始信息汇总

Diaceutics Hemoglobin A1C Panel Dataset 概述

数据集基本信息

• 数据集名称: Diaceutics Hemoglobin A1C Panel Dataset
• 数据提供商: Diaceutics Inc
• 时间覆盖范围: 2016年1月1日 - 2025年9月17日
• 地理覆盖范围: 美国所有州
• 数据更新频率: 静态数据
• 数据交付方式: 通过Snowflake Marketplace基于合约的访问模型交付

数据集内容描述

包含来自600多家美国实验室的结构化、去标识化的真实世界数据，捕获CBC实验室测试的诊断活动。每条记录反映一个独特的测试事件，包括报告结果的日期（TEST_DATE）。

数据字段

• 测试级别结果: 在LOINC级别捕获，包括RESULT_NAME、RESULT_VALUE、RESULT_REFERENCE_RANGE和RESULT_UNITS_OF_MEASURE
• 患者级别数据: 包含哈希患者ID（PATIENT_ID）和性别（GENDER）
• 医师信息: 通过PHYSICIAN_NPI捕获与测试相关的医师

功能与应用

业务需求

• 受众激活: 基于实时实验室测试行为定位医疗保健提供者
• 需求预测: 按测试、生物标志物或地理位置跟踪真实世界诊断需求
• 生命科学商业化: 通过基于诊断的见解加速上市规划和市场执行
• 患者360视图: 访问去标识化、实验室锚定的患者视图
• 市场分析: 分析诊断市场份额、测试采用率和实验室覆盖范围
• 真实世界数据: 解锁专注于实验室结果和生物标志物趋势的策划RWD

使用案例

用户可以根据测试名称、LOINC、结果阈值、相关医师、性别和出生年份定义和分析队列。支持通过Datavant令牌连接到诊断代码或治疗暴露，实现真实世界证据和健康经济学的先进分层。

技术规格

• 数据表名: SNOWFLAKE.MARKETPLACE_A1C_LAB_DATA
• 支持字段: TEST_ID, PATIENT_ID, PHYSICIAN_NPI, PHYSICIAN_SPECIALTY等
• 交付频率: 支持每周交付

临床背景

血红蛋白A1C是评估长期血糖调节和协助糖尿病诊断与管理的关键实验室测试。该检测测量糖化血红蛋白的百分比，反映过去2-3个月的平均血浆葡萄糖浓度。

联系方式

• 销售: [e-mail]
• 支持: [e-mail]