Digitization is transforming the healthcare sector in several ways:
1) Technologies like telemedicine, AI-enabled devices, and blockchain records are reshaping interactions with providers and how data is shared and used for treatment decisions.
2) Digitization streamlines work for physicians, optimizes systems, improves outcomes, reduces errors, and lowers costs.
3) Emerging technologies including telehealth, AI, 3D printing, augmented reality, wearable monitors, and gene sequencing will further change healthcare.
4) Digital tools can help address gaps in treating diseases like TB by improving patient care, diagnosis, treatment adherence, surveillance, and program management.
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
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
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.
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.
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.
The video here depicts an example of patient centric application that enables patient to self report, and initiate their treatment journey for TB
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.
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
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.
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