Senior Care Analytics

We offer Healthcare Analytics & Application development solutions to revolutionize healthcare companies’ decision-making through big data, advanced analytics and optimization. Our team of experts combine strategy, data and analytics with implementation to empower healthcare providers with insights to predict health risks and improve patient outcomes. Specializing in Elder care, we use sensor, medical device data and medical history to solve healthcare problems for seniors. Our goal is to deliver data-driven applications that improve healthcare decisions and lives of individuals we touch.

Our Service offerings

Our Senior Care Analytics service offerings cover dashboard development, predictive analytics, decision support systems and all the way till machine learning driven systems.
Data Driven
Data-Driven Analysis
Deep Insights
Decision Making
Smart Care
Human Brain
Care Intelligence
Fall Prediction
Fall Prediction
Dementia Detection
Dementia Detection
Wearable Devices
Wearable Devices from Data Analysis
Caregiver & Family Notifications
Caregiver & Family Notifications
Early Detection of changes in Health Condition
Senior Meal Delivery
Track Health Outcomes
Track Health Outcomes
Surveys & Assessments
Surveys & Assessments
Opioid & Alcohol Addiction
Opioid & Alcohol Addiction
Staff Productivity Analytics
Weekly Rolling Census
Team-Based Home Care

Case Study – SeniorLink Caregiver Homes

Operational Data Store & Business Intelligence Reporting

Pain Points
  • Loosely designed application with flexible business rules resulting in incorrect transaction sequence.
  • No customer master, no organization hierarchy master.
  • Non-Standard reference data across states.
  • 4-5 different teams working in a disorganized manner.
  • Regular updates to historical transactions.
  • Loose definition of reporting metrics.
  • Legacy manual excel & stored proc based reporting solution with fluctuating counts and manual interventions.
  • Extracted business logic from existing reporting solution.
  • Profile data to reverse engineer source application.
  • Mapped consumer lifecycle and identified non-conforming events.
  • Created Organization hierarchy & customer master.
  • Created Operational Data Store for daily and monthly reporting.
  • Generated historical counts every day to account for updates to historical transactions.
  • Provided daily data quality reports to fix data in source system.
  • Created a mechanism to fix bad data before it is reported out.
  • Identification & clean up of bad events.
  • Accurate counts for following:
    • Currently placed consumers
    • New Opportunities
    • Open Referrals
    • Open Qualified
    • Being Assessed
    • Application Submitted
    • Approved
    • Closed Opportunities
    • Currently Suspended Consumers
    • Alternate Placement Days per week.
    • Weekly Placement Activity
    • Weekly Suspensions
    • Weekly Reactivations
    • Weekly Discharges


We have analyzed big data from 120+ Pharma and device manufacturing organizations.

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