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DIGITIZATION
OF HEALTH
CARE
Dr SS Lal MBBS, MPH, MBA, PhD
Head of Public Health
Global Institute of Public Health,
India
20 May 2021 apidays
Why digitization in Health Care ?
• Increasing rise of on-demand healthcare (on one’s own
schedule).
• More than four billion people globally on the Internet.
• Big data in healthcare.
• Blockchain and the promise of better electronic health
records.
How Digitization in Healthcare Works
?
• Digital transformation is the positive impact of technology in
healthcare.
• Examples: Telemedicine, artificial intelligence (AI)-enabled medical devices,
blockchain electronic health records.
• They are completely reshaping the interaction with health professionals,
how data is shared and how decisions are made about treatment.
• Streamlines physicians’ work, optimizes systems, improves patient
outcomes, reduces human error, and lowers costs.
• Digitization has helped health service providers create robust
infrastructure by focusing on patient’s needs.
Six technologies that will transform
healthcare
(https://healthcaretransformers.com/healthcare-business/technologies-transform-healthcare/)
• Telehealth: improves accessibility, reduces cost, enable self care
• Artificial intelligence (AI): improves diagnosis, assist image
analysis, streamlines administrative tasks
• 3D printing: creates anatomical models, designs custom devices
and tools, enhances precision medication
• Augmented and virtual reality: Simulates medical procedures,
ease pain symptoms, treats conditions like dementia
• Wearable health monitors: Timely diagnosis and clinical support,
improved patient engagement, clinical trial participation
• Next generation sequencing: Identify at-risk populations, target
therapies to patient response, direct-to-consumer genetic testing
Benefits from Digitization of Health
• Lowers rate of medication errors
• Promotes preventive Care
• Predicts more accurate staffing
• Treats patients with virtual reality
• Wearable medical devices
• Predicts healthcare using information aggregated through
Big Data
• Artificial intelligence
• Blockchain and better electronic health records
Use of digital tools: TB Disease as an
example
TB burden and the gaps in fighting TB
• TB is the biggest killer among all infectious diseases
• Globally 10 million people get TB every year
• People with TB may not get diagnosed
• Diagnosed patients may not seek treatment
• Patients who receive treatment may not adhere to treatment
• TB patients on treatment may not get notified
Digital solutions to address
gaps in TB Elimination
• Digital technologies support TB elimination in four
ways
• Patient care
• Diagnosis
• Treatment adherence
• Surveillance
• Program management
• E-learning
Digitally connected systems can
improve access to health and logistics
information for providers and patients.
Examples include information systems for
drug stocks that can help planners know in real
time the availability of consumables when
providing a service to lessen waste or stock-
outs.
eLearning technologies aim to expand
access and dissemination of
educational information. Course
materials may be administered entirely via
digital platforms or as part of a 'blended
learning' model, which integrates electronic
media and devices with traditional
classroom instruction
One stop-shop for patients helping
throughout their treatment journey and
providing access to their own health
records, information, community forums,
nearest health facilities, reporting
challenges and many more
Digital technology for patient care aims to
promote treatment success by facilitating
contact between TB patients and their treatment
provider or clinician, providing reminders or
notifications about treatment and/or follow up
appointments…..
Digital surveillance and monitoring
technologies have been used for several
decades to facilitate the management and
reporting of health data by health personnel
and program managers. Apart from improving
data access, quality and validity, digitization
also enables linking across various
electronic repositories …..
NATIONAL DATA
SYSTEM
INTEGRATIO
N
SURVEILLANCE AND
MONITORING
PATIENT CARE
(Patient module)
E-LEARNING
TECHNOLOGIES
PROGRAMMATIC
MANAGEMENT
PATIENT CARE
(Provider module)
Dure Technology’s Key Digital Health Offerings
#
IVRS
Web App
Social media
Push SMS
*
USSD
WHO’s Prevent TB Global Platform
TB App Suite Launch on World TB Day (24th March 2021)
A typical centralized data warehouse model
Central Data
Repository and
Data warehouse
ETL
Open Data
Programmatic Data
Consumer Sourced Data
Impact Assessment/ Program Outcome/
Analytics/Data science/Predictive modeling-
based visualization
HMIS eLMIS
Global Template
HIV Template MALARIA Template
TB Template
Global Template
Country Adapted Templates
Integration with other programs
Configure services (smart set-up)
South Africa Tanzania
Content
management
system
Form/workflo
w builder
Facility
manageme
nt module
User
manageme
nt module
Languag
e
change
Niger
COVID Template
India
Built for sustainability and scale
ARTIFICIALINTELLIGENCEFOR
RADIOLOGY
Typical AI annotated output for qXR
Abnormal Area
Marked Out By
qXR
Automated
Report
Automated
Detection of TB
from CXRs
qXR | Fully automated chest X-ray reads
Largest Training Dataset -
Trained with 3.5 Million scans
Detects Tuberculosis, COVID and
27 other chest abnormalities
Hardware agnostic
Results < 1 minute
Deployed in 40 + countries
Used for reporting in
Teleradiology, Hospitals, Public
Health screening and triaging
COVID-19 suspects
Endorsed by WHO for
Tuberculosis screening
Used in hospitals and vans as well as hospitals for screening lung conditions including
Tuberculosis
Impacts :
• Early detection of Tuberculosis
• Increase program efficiency
• Increase overall case notification
• Cost reduction
• Decreased catastrophic costs for patients
Improving Case detection and Management: On
Ground stories
27,000+
Scans processed till date
Frontline workers and physicians can
immediately identify COVID suspects and
admit or isolate them within the
hospital/advise for home isolation
Deployed at 20 hospitals
across 14 states in India for
COVID-19 management
Deployed in the areas where there is
resource crunch for RT-PCR test
Identify pneumonia or other lung conditions
immediately
Empowering Clinicians with AI forCOVID-19: Delivering
healthcare to last mile
27000 individuals
screened
qScout Monitoring
AI PoweredVirtual Patient Monitoring Platform
Deployed in MOH Oman for country wide isolation monitoring
of COVID infected individuals using AI chatbot
Used for home isolation monitoring as well as contact tracing
Digital’s Imprint in Health Care
https://stefanini.com/en/trends/news/digital-imprint-in-health-care-changing-lives-for-the-better
• Numerous tools and resources that improve healthcare
services.
• Reshaped doctor-patient experience.
• Healthcare providers have more tools and resources.
• Patients receive better care and more accessible
treatment.
• More transparency in the healthcare.
Thank You

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apidays LIVE India - The digitisation of healthcare by Dr S.S. Lal, Global Foundation for Health and Hygiene

  • 1. DIGITIZATION OF HEALTH CARE Dr SS Lal MBBS, MPH, MBA, PhD Head of Public Health Global Institute of Public Health, India 20 May 2021 apidays
  • 2. Why digitization in Health Care ? • Increasing rise of on-demand healthcare (on one’s own schedule). • More than four billion people globally on the Internet. • Big data in healthcare. • Blockchain and the promise of better electronic health records.
  • 3. How Digitization in Healthcare Works ? • Digital transformation is the positive impact of technology in healthcare. • Examples: Telemedicine, artificial intelligence (AI)-enabled medical devices, blockchain electronic health records. • They are completely reshaping the interaction with health professionals, how data is shared and how decisions are made about treatment. • Streamlines physicians’ work, optimizes systems, improves patient outcomes, reduces human error, and lowers costs. • Digitization has helped health service providers create robust infrastructure by focusing on patient’s needs.
  • 4. Six technologies that will transform healthcare (https://healthcaretransformers.com/healthcare-business/technologies-transform-healthcare/) • Telehealth: improves accessibility, reduces cost, enable self care • Artificial intelligence (AI): improves diagnosis, assist image analysis, streamlines administrative tasks • 3D printing: creates anatomical models, designs custom devices and tools, enhances precision medication • Augmented and virtual reality: Simulates medical procedures, ease pain symptoms, treats conditions like dementia • Wearable health monitors: Timely diagnosis and clinical support, improved patient engagement, clinical trial participation • Next generation sequencing: Identify at-risk populations, target therapies to patient response, direct-to-consumer genetic testing
  • 5. Benefits from Digitization of Health • Lowers rate of medication errors • Promotes preventive Care • Predicts more accurate staffing • Treats patients with virtual reality • Wearable medical devices • Predicts healthcare using information aggregated through Big Data • Artificial intelligence • Blockchain and better electronic health records
  • 6. Use of digital tools: TB Disease as an example
  • 7. TB burden and the gaps in fighting TB • TB is the biggest killer among all infectious diseases • Globally 10 million people get TB every year • People with TB may not get diagnosed • Diagnosed patients may not seek treatment • Patients who receive treatment may not adhere to treatment • TB patients on treatment may not get notified
  • 8. Digital solutions to address gaps in TB Elimination • Digital technologies support TB elimination in four ways • Patient care • Diagnosis • Treatment adherence • Surveillance • Program management • E-learning
  • 9. Digitally connected systems can improve access to health and logistics information for providers and patients. Examples include information systems for drug stocks that can help planners know in real time the availability of consumables when providing a service to lessen waste or stock- outs. eLearning technologies aim to expand access and dissemination of educational information. Course materials may be administered entirely via digital platforms or as part of a 'blended learning' model, which integrates electronic media and devices with traditional classroom instruction One stop-shop for patients helping throughout their treatment journey and providing access to their own health records, information, community forums, nearest health facilities, reporting challenges and many more Digital technology for patient care aims to promote treatment success by facilitating contact between TB patients and their treatment provider or clinician, providing reminders or notifications about treatment and/or follow up appointments….. Digital surveillance and monitoring technologies have been used for several decades to facilitate the management and reporting of health data by health personnel and program managers. Apart from improving data access, quality and validity, digitization also enables linking across various electronic repositories ….. NATIONAL DATA SYSTEM INTEGRATIO N SURVEILLANCE AND MONITORING PATIENT CARE (Patient module) E-LEARNING TECHNOLOGIES PROGRAMMATIC MANAGEMENT PATIENT CARE (Provider module) Dure Technology’s Key Digital Health Offerings # IVRS Web App Social media Push SMS * USSD
  • 10. WHO’s Prevent TB Global Platform TB App Suite Launch on World TB Day (24th March 2021)
  • 11. A typical centralized data warehouse model Central Data Repository and Data warehouse ETL Open Data Programmatic Data Consumer Sourced Data Impact Assessment/ Program Outcome/ Analytics/Data science/Predictive modeling- based visualization HMIS eLMIS
  • 12. Global Template HIV Template MALARIA Template TB Template Global Template Country Adapted Templates Integration with other programs Configure services (smart set-up) South Africa Tanzania Content management system Form/workflo w builder Facility manageme nt module User manageme nt module Languag e change Niger COVID Template India Built for sustainability and scale
  • 14. Typical AI annotated output for qXR Abnormal Area Marked Out By qXR Automated Report Automated Detection of TB from CXRs qXR | Fully automated chest X-ray reads Largest Training Dataset - Trained with 3.5 Million scans Detects Tuberculosis, COVID and 27 other chest abnormalities Hardware agnostic Results < 1 minute Deployed in 40 + countries Used for reporting in Teleradiology, Hospitals, Public Health screening and triaging COVID-19 suspects Endorsed by WHO for Tuberculosis screening
  • 15. Used in hospitals and vans as well as hospitals for screening lung conditions including Tuberculosis Impacts : • Early detection of Tuberculosis • Increase program efficiency • Increase overall case notification • Cost reduction • Decreased catastrophic costs for patients Improving Case detection and Management: On Ground stories
  • 16. 27,000+ Scans processed till date Frontline workers and physicians can immediately identify COVID suspects and admit or isolate them within the hospital/advise for home isolation Deployed at 20 hospitals across 14 states in India for COVID-19 management Deployed in the areas where there is resource crunch for RT-PCR test Identify pneumonia or other lung conditions immediately Empowering Clinicians with AI forCOVID-19: Delivering healthcare to last mile 27000 individuals screened
  • 17. qScout Monitoring AI PoweredVirtual Patient Monitoring Platform Deployed in MOH Oman for country wide isolation monitoring of COVID infected individuals using AI chatbot Used for home isolation monitoring as well as contact tracing
  • 18. Digital’s Imprint in Health Care https://stefanini.com/en/trends/news/digital-imprint-in-health-care-changing-lives-for-the-better • Numerous tools and resources that improve healthcare services. • Reshaped doctor-patient experience. • Healthcare providers have more tools and resources. • Patients receive better care and more accessible treatment. • More transparency in the healthcare.

Notas do Editor

  1. The delivery of healthcare and healthcare services are undergoing major transformation. With escalating pressure to do more with less, technologies that are gaining momentum aim to improve patient care and satisfaction while cutting costs and/or creating value for organizations so they can remain competitive. 
  2. Digital health platforms globally have emerged as more robust, dynamic and integrated solutions for health system strengthening. Through real time information platforms data access has significantly improved quality and validity of the surveillance data. Interface for each stakeholder i.e. empowering patients based on their health history and providing them with personalized health advice, supporting them through treatment journeys. Improving treatment success by facilitating a more robust mechanisms for Provider patient interactions based on accurate clinical information removing the provider bias. Digitally interconnected systems with country specific national data system significantly improves access to health and strengthens the systems at the sametime.
  3. The video here depicts an example of patient centric application that enables patient to self report, and initiate their treatment journey for TB
  4. Example : Triangulation of FP data (contraception uptake) with Reproductive and Child Health data (reduction in unwanted pregnancy, maternal/child mortality) A Centralized Data Warehousing (DW) that collects and manage data from varied sources and then provides with meaningful insights. It helps in data analysis on real time basis and reporting. It also enables electronic storage of a large amount of information and transforming data into information and making it available to users in a timely manner to make a difference.
  5. The Platform is built for sustainability and highly scalable. It is a ready to use and highly dynamic platform. A platform designed for a particular country, for a particular program; in this case let us say for COVID program in India can be adapted and contextualized to a TB programe in Nigeria The platform comes with highly configurable Smart Set-up – the USP of the platform here is that any Non- tech person can configure the platform by making changes at the back end.like adding surveys, information, bulk upload of center information etc. The platform is configurable in multiple languages and currently supports almost all global languages
  6. LARGEST TRAINING DATASET Underlying convolutional neural networks trained with 3.5 Million scans, generalize well to new data. Clinically validated in multiple geographies. DETECTS 29 ABNORMALITIES Detects all major abnormalities from chest X-rays. Not only detects but also monitors progression.
  7. Ministry of Health of Oman launched a monitoring platform, ‘Tarassud Plus’ to enhance the current health monitoring system by diagnosing, following up, and tracking the medical condition of individuals infected with COVID-19, who are under quarantine, by using Artificial Intelligence (AI) technology and advanced tracking technologies. The aim of this project was to monitor and track the COVID-19 infected/quarantined individuals and their contacts with the help of real-time analyses and prevalence mapping ; and focus only on those infected individuals who require medical examination thus minimizing and scheduling their visit to nearest medical institutions. qScout to be used as an interface between the COVID-19 infected individuals (their contacts) and the Tarassud Plus platform for collection of field data