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Quantum Thought/Kiana Elder Care Solution - Coggle Diagram
Quantum Thought/Kiana Elder Care Solution
What Kiana Tracks
Mac address
Time
Location
What can we add
Quantum Machine Learning/AI
Predictive
Predicing the spread of an outbreak
Who was near
How long
Then whom did they interact with?
Set trigger at 3 min for possible infection?
Spread goes geometric
Run predictive to calculate spread
Mitigate spread
Quarantine
Anyone who has symptoms or tests positive
Test
Only need to test those in proximity
And for set duration
Sanitize
LImited Areas based on the data
Use ML to analyze past traffic Patterns
And Gathering or Hot Spots
Run ML Models based on current patterns
Simulate an outbreak
Better Displays
Enhanced Reporting
Self Reporting
via company email
Mask?
Type of Mask
Room Volume
Closeness to AC or other circulation system
Velocity of staff
Room Temperature
Voice Volume and projection
Coughing or Sneezing?
Hand Sanitization
Last time?
Last time went to restroom
Room Population
Affects speech volume
Wear Glasses?
Marketing
Need to blog
Send out on Social
Website Updates
Press Release with Kiana
Info and Resources
Employees who appear to have symptoms upon arrival at work or who become sick during the day should immediately be separated from other employees, customers, and visitors, and sent home.
https://www.cdc.gov/coronavirus/2019-ncov/community/guidance-business-response.html
PWC Product
https://www.pwc.com/us/en/products/check-in.html
Salesforce
https://www.salesforce.com/solutions/covid-19-response/overview/
Email Marketing
Create Outbound Lists
Webinar With Kiana
Focused Only on Elder-Care
Need a Case Study
Systems
Use D-Wave
Free Covid use?
Programming
Someone tests positive or has symptoms
Run 2 weeks of forensic data
All Known locations
Map all locations and travel
Sanitize all rooms/areas where infected traveled
Identify all MAC addresses (humans) nearby
How Close?
0-6Ft Tag as Red
Alert HR or Safety Managers
6-12 Ft Tag as yellow
Unless duration exceeds 5 minutes
Then tag as red
Example: A Meeting
Where people might be in a room for 30 minutes to an hour
Over 12 ft Tag as green
Unless Duration exceeds 10 minutes in the same room
Example: Conference Room
Tag as Red:
Anyone in the same room for more than 30 minutes
Duration of proximity
Set Custom Parameters - Can be defined by the customer
0-6ft
Tag all as red
6-12 ft
Tag as red if more than 5 Minutes
Tag as green if less than 5 minutes
12 Ft
Tag as green unless in the same room for more than 10 minutes
Quantum Computing Elements
Expand Forensics
#
Take all "Red" tagged individuals and expand forensics and results for each
Example - Someone who tested positive was:
Within 5 ft of Joe for 10 Min
Tag Joe Red
Repeat the forensics process with Joe's activities
This will branch out
Within 20 ft of Sue for 1 min
Tag Sue Green
Nothing further with Sue
Within 8 feet of Jim for 45 min
Tag Jim Red
Repeat the forensics process with Jim's activities
This will branch out
This is where we need more predictive power
What We add
Predictive Capabilities
Parameter customization
Time, duration elements
Proximity estimates
Location Sizing
e.g. conference room vs. large open area
These would be treated differently
Combining elements with boolean logic conditions
We act as a customizable/programable overlay on Kiana
Alerting capabilities - when certain conditions occur