Voice-Assisted Personal Assistance
in Heart Failure
Use of a cohort of minority patients with heart failure to manage risk of worsening condition. Patients are divided into three groups, which are 1. Using Alexa, 2. Using Avatar, 3. Primary care. Besides different treatments, patients are asked to finish compliance questions and surveys.
How Big is this Datasets?
Who are the Patients?
Breakdown of patients demographic, emphasis on health disparities and equity.
Study
Gender
Marital Status
Race
Age Group
What is the available data at glance?
| Domain | Example Variables | Description |
|---|---|---|
|
Basic Information |
Red Ratio, Orange Ratio, Has Baseline Survey, Gender, Marital Status, Race, Hispanic, Annual Household Income, Education, Years Dx with HF, Medications for HF, Visually Impaired or Blind, Type of Mobile, Text Message, Often Text Message, Social Media, Search the Internet, Confident Tech, Heard of Voice Act, Own Voice Act, Has Final Survey |
Patient Summary/ Demographics |
|
Questionnaire |
Element1, Response group |
Compliance questions and responses |
|
Hospitalization |
Encounter Type, PrimaryICDCode, PrimaryICDCode Description, Primary Diagnosis Type, SecondaryICDCode, SecondaryICDCode Description, Secondary Diagnosis Type |
Hospitalization and Encounter Information |
|
Surveys |
Redcap_Event_Name, Future Voice Act.Factor, Experience Using Alexa, Technology Survey End of Study Complete, Type Insurance Employer, Type Insurance Obamacare, Type Insurance Other, Type Insurance Medicare, Type Insurance Medicaid, Type Insurance Tricare, Type Insurance None, Technology Survey Demographics Timestamp |