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Secure Collaborative Communication App

Healthcare

Social Services

First Response

Law Enforcement

Legal

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Objectives:

  • #1: Increased Privacy + Efficiency of Care for Patients while maintaining highest level of health information privacy
  • #2: Identifying Unnecessary Costs and Waste for Providers
  • #3: Extraction of User Data, Timestamps, GPS, Clicks, Form Submissions, Profile Views, Device Preferences, etc.
  • #4: Potential for Additional Product Development

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Example Scenario:

Average Points of Contact in an Emergency Mental Health Scenario:

25 - 30

Points of Contact number compounds as number of involved sectors increases

Higher and higher risk for patient harm and organizational failures

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Architectural Diagram for Summary of Agent Functions

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Healthcare Waste in Percentages

  • 25% of healthcare spending in the USA can be categorized as waste
    • Between $760b and $935b annually
  • Approximately 2% of that waste can be attributed to communication inefficiencies and errors
    • $12b annually
    • Associated cost factors:
      • Increased length of patient stays
      • Wasted physician and nurse time
      • Staffing excesses due to error coverage and communication time constraints
      • Failures of coordination among care providers
      • Administrative congestion

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Identifying and solving waste problems will maximize growth and increase profits for providers and Health Coordination Software Organizations

Drive growth by increasing patient outcomes and cutting costs

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Data Extraction Potential

  • Brokering extracted user data to Health Technology Developers presents an opportunity for MEDiUS to fund its own operations and development.
  • Valuation estimate of generated data
    • Based on brief summary of relevant reports per sector
    • Providers’ User Data (HealthCom Tech Market): $2bill
    • Law Enforcement User Data: $11b+
    • Social Services Department User Data: No estimate, but identifies strong need
    • Legal Advocacy/Prosecution User Data (Legal Tech Market): $29b+
    • [among interactions between any number of each]

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