1. Confidential
Medical Device Market-Network
www.doctorsbazaar.com
Data Analytics & Hospital Asset Management

2. Using power of market-networks in B2B environments & deep analytics we
are deeply influencing engagement models b/w MedTech cos. & hospitals
from discovery to end-of-life of a device
Doctor’s Bazaar Platform
Confidential
A B2B Enterprise Market-Network for Medical Devices
ASSET MANAGER
Asset Management App
for Hospitals & Clinics
SERVICE DESK
App Linking Asset
Manager with MedDev cos.
PROCUREMENT PLUS
Procurement Application
for Hospitals & Clinics
STOREFRONT
Custom stores for MedDev cos. &
Replenishment Digitization
.

3. Existing Asset Base Value
INR 130,000 CR.
Annual
Med.Device
Market
INR 20,000
Cr.
Current Asset Spread
Data Analytics based on existing asset performance has to drive decision
making for all future purchases

4. Why is Data Analytics Critical?
• Highly technical
•Lack of consolidated product database
•Difficult to engage product specialists
•Limited decision making options
• Information asymmetry
• Cost escalation
• Impacts budgets & healthcare
delivery
•Paper / Excel based operations
•Lack of access with authorized
service network
• Impacts utilization rate,
dependability & costs
•Lack of Credible user database of
installed assets
Impacts service revenue, compliance,
visibility and quality of service
• Purchase / sales decisions
highly people dependent
• Cannot ensure fit with
therapy requirements
• Gaps in quality of
installation & user training
• Impacts quality of care to
patients
Data Analytics has a huge role in the BUY / OWN side of the hospitals and
SELL / SERVICE side of MedTech companies
Confidential

5. Big Leaps in Tech
Connected DevicesEMRHIS / HMS
IOT Tele-Medicine Wearable Tech

6. Our Current Processes

7. Alignment is Key for Success
TECH Process
Data Analytics is the foundation on which Tech Adoption should be based.

8. Road Map for Data Analytics
53%
47%
Maintain Asset
Data Base
Manage
Maintenance
Schedules
Yes, 23%
No, 77%
Do you use a system
for managing
incidents?
Validated Data, with a SOPs for capturing event information is the first step
in laying a foundation for Data Analytics
Get the Basics Right

9. Road Map for Data Analytics
Key Stumbling Blocks
Bad processes result in Parallel processes
The Problem: Lack if clear user friendly processes > Parallel processes > Data
without actionable information > lack of accountability > System Data vs. Actual
Facts
The Fix: Mimic user behavior > Capture Data while executing workflow > Time
Stamped & Auditable
Digitize — Assets, Processes, Discussions & documentation
The Problem: Physical Assets have no digital identity. So the data generation,
reporting and engagement with the assets always came with a time lag.
The Fix: Bar code / QR code tagging of Assets & adoption of the mobile phone
form factor. This ensured Identity, Event Generation & Data logging through digital
interaction on the go.

10. Road Map for Data Analytics
Key Stumbling Blocks
Address Offline — Online Gaps
Deviations often arise because processes are not usually defined and enforced at
the interface of offline and online. Listed below are the most common ones
• New asset creation — Address deviation between the system data and actual
assets
• Deletion of old assets — Old and non-functional assets have to be tagged as such
and made inactive from the active asset list.
• Department change tracking — When an asset is shifted from one department
to another, this change has to captured online and an audit trail needs to be
maintained for the same.
• Out-Gate pass management —Audit trail for assets are taken out of premises for
repair / maintenance or given loan to other branches and hospitals.
• Service Logs — Preventive Maintenance, Calibration, Installation are some of the
activities which must be captured and logs need to be maintained for the same.

11. Road Map for Data Analytics
Key Stumbling Blocks
Fix Responsibility and Accountability. Ensure transparency.
The problem : Actions not captured at user level > Metrics do not involve user
performance
The Fix - User personas were mapped > Distinction between user departments &
service departments > Individual user licenses to track user activity
User Behavior, Technology, Form Factor & Process Clarity key in developing
a system to make your organization ready for Data Analytics.

12. Road Map for Data Analytics
Data Analytics is the foundation on which Tech Adoption should be based.
Ask the
Right
Questions
Problem
Definition
Define
Metrics
Data
Collection
Data
Validation
Data
Analysis
What has
Happened?
Monitor
Trends
What will
Happen?
Data Analytics Structure

13. Analytics Dashboard
..

14. Asset Timeline – Maintenance & Incidents
Comprehensive view of costs – Man-hours, Service Costs, Parts Costs, Down
Time , Resolution Time and Response time at Asset level

15. Model to Model comparison and aging analysis will help identify high
operational risk assets and assist in Budget allocations
Model to Model Comparison
Model A Model B
Purchase Price: INR 1,25,000 INR 95,000
Installed Year: 2015 2017
Depreciated Value: INR 65,000 INR 72,142
Total Down Time: 104 Hours (26 H/Yr) 205 Hours (102.5 H/Yr)
AMC Cost : Rs. 8500/- Rs. 6500/-
Total Man hours : 45 Hours (11.25 H/Yr) 103 Hours (51.5 H/Yr)
Spent in Service
Total Parts Cost: INR 13,500/- (3,375/Yr) INR 22,500/- (11,250/Yr)

16.  300% increase in incidents reported
? User departments able to report
and record incidents via APP
Resolution Time has reduced by 80%
? Visibility of Metrics across hierarchy,
On-APP communication and resolution
APP based Reporting, engagement, digitization of documentation and
transparency had resulted in increased reporting and faster resolution
Impact Indicators across installed base

17. THANK YOU!!