India Dreamin - Smart Healthcare with Salesforce

indiadreamin.in info@indiadreamin.in /Sﬁndiadreamin /SFindiadreamin
INDIA DREAMIN’ 23
MAY 20, 2023 THE FORUM, AHMEDABAD
INDIADREAMIN.IN
Smart Healthcare with Salesforce
PRESENTED BY: Tarandeep Singh

Hello DREAMERS!
INDIADREAMIN.IN
Tarandeep Singh
Software Engineer at Salesforce
9+ years of experience
6x Salesforce Certiﬁed & 2x Copado
Certiﬁed
tdssaini tdssaini

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Introduction
Healthcare industry has seen a drastic change at the time of COVID and they are investing lot in
technology to bridge the gap between patient and the hospitals.
Smart Healthcare with
Cloud
For real time monitoring of patients
who have Chronic diseases and
they are continuously under
monitoring & for early diagnostic of
problems.
To enhance customer experience starting
from booking an appointment with a doctor.
And then how seamlessly they can get their
offline consultation done with the doctor.

Demo
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Architecture

Salesforce Implementation
● Implemented Salesforce Health Cloud for
doctor
● Custom Reports & Dashboards
● Security & Setup Encryption for sensitive data
like Aadhar Card/SSN
● Exposed Rest APIs for integration with external
applications
● Platform Events (Pub-Sub Model)
● Next Best Actions for doctors
● Custom Lightning components

Android App Implementation
● Uses Salesforce SDK
● Protocol developed by Apple
● Uses Bluetooth Low Energy (BLE) to connect
to nearby iBeacons
● Uses Salesforce Rest APIs to publish
Platform Events (Pub - Sub Model)
● Salesforce listen to events to performs the
relevant actions using lightning components

IoT Middleware Implementation
● Web application middleware for IoT diagnostic
sensors and the Salesforce
● Built using Nodejs for APIs and business logics &
PostgreSQL for database
● Uses Heroku (PaaS platform)
● Exposes the APIs for IoT devices to push real time
data to DB.
● Runs a scheduled job after an interval to sends
data to Salesforce.
● Data filtering

Healthcare IoT Implementation
● Healthcare IoT devices for real time monitoring
patients
● Developed on Arduino IDE with C/C++
programming language
● Used MAX30102 Pulse Oximeter sensors for
monitoring oxygen level and Pulse sensors for
monitoring heart rate.
● Sensors are connected to a microcontroller
(Arduino UNO based on ATmega328P)

AI Implementation
● Web API based application
● Predicts the heart attack with the data coming from
Pulse Heart Rate sensor.
● Built using Python along with AI libraries for
reading, parsing, training & doing prediction for the
data.
● Integrated with Salesforce to predict the heart
problem with the patient’s data inside Salesforce
● Implemented KNeighborsClassifier on the training
data set for classification.

Customer Community Implementation
● Customer community
● Data shared with Salesforce instance
● Lifeblood - Blood donation app
● Chatter & groups
● Monitoring IoT devices data
● Scheduling appointments
● Knowledge articles

Resources
● Trailmix - sforce.co/3ogTHxm
● Salesforce Health Cloud - salesforce.com/products/health-cloud/overview/
● Pulse sensors for monitoring heart rate- pulsesensor.com/
● MAX30102 Pulse Oximeter sensors -
maximintegrated.com/en/products/interface/sensor-interface/MAX30102.html
● Estimote ibeacons - estimote.com
● AI dataset source - archive.ics.uci.edu/ml/machine-learning-databases/heart-disease/
● Lifeblood AppExchange -
appexchange.salesforce.com/appxListingDetail?listingId=a0N3A00000FMiQuUAL

Q & A
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THANK YOU!
INDIADREAMIN.IN

India Dreamin - Smart Healthcare with Salesforce

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