1. Use Case: Robot-Assisted Surgery (RAS) System on the Cloud
2. Worldwide IT Industry 2023 Predictions
3. Japan IT Spending Forecast by Region: 2021-2026
4. Japan Public Cloud Spending Forecast: 2021-2026
5. Japan Private Cloud Spending Forecast: 2021-2026
6. Japan Information Security Market Forecast: 2020-2026
7. Green Transformation (GX) in Healthcare
8. Conclusion/Q&A
Call Girl Gurgaon Saloni 9711199012 Independent Escort Service Gurgaon
Landscape of Cloud-Driven Digital Health Platform Market in Japan 2023
1. Landscape of Cloud-Driven
Digital Health Platform Market
in Japan 2023
October 10th, 2023
Eiji Sasahara, Ph.D., MBA
Partner - Healthcare Cloud Initiative, NPO
Representative, Cloud Security Alliance Japan Chapter
(A Member of European Connected Health Alliance)1
2. AGENDA
• 1. Use Case: Robot-Assisted Surgery (RAS) System
on the Cloud
• 2. Worldwide IT Industry 2023 Predictions by IDC
• 3. Japan IT Spending Forecast by Region: 2021-2026
• 4. Japan Public Cloud Spending Forecast: 2021-2026
• 5. Japan Private Cloud Spending Forecast: 2021-2026
• 6. Japan Information Security Market Forecast: 2020-2026
• 7. Green Transformation (GX) in Healthcare
• 8. Conclusion/Q&A
2
3. 1. Use Case:
Robot-Assisted Surgery (RAS) System on the Cloud
System Architecture for Robot-Assisted Surgery (RAS):
-Operating Environment
*Cameras, Sensors
-Network Component
-Robotic System
*Robotic Arm
-Surgeon Console
-Cloud Service
-Vendor
-EHR
Source:Cloud Security Alliance(CSA),
“Telesurgery Tabletop Guide Book”, January 30,
2023)
(https://cloudsecurityalliance.org/artifacts/te
lesurgery-tabletop-guide-book/)
3
4. “hinotori” Surgical Robot System “hinotori”
by Medicaroid(https://www.youtube.com/watch?v=UW9SLwMFL8I)
Approved as Medical Device (on-premise) by MHLW in August 2020
Source: Medicaroid, “Towards Service Platform Integrated with hinotori Surgical Robot System”,
February 18, 2021 (https://aws.amazon.com/jp/blogs/news/healthcare-cloud-seminar/)
Interference
Reduction
Fatigue
Reduction
High-definition
3D Imaging
Communications between
Surgeon and Surgical
Assistant
Remote
Trouble
Shooting
Working
Space for
Surgical
Assistant
4
5. Medicaroid Intelligent Network System on AWS
Transform Data Gathered from hinotori to Valuable
Contents for Secondary Use
*Critical Issue: Who Owns and Manages Data?
Source: Medicaroid, “Towards Service Platform Integrated with hinotori Surgical Robot System”,
February 18, 2021 (https://aws.amazon.com/jp/blogs/news/healthcare-cloud-seminar/)
[Supports Center]
Contact Point
Before/After
Surgery Setup
Surgery Monitoring
Realtime Supports
Training
Other Surgical Devices
Surgical Room Camera
(Video Data)
Endoscope Camera
(Video Data)
[Surgical Room] [Lab Test Information]
Simulator
Integrated
Surgical Data
Devices for Maintenance Operation
Log DB
Surgical Room
Imaging DB
Surgery
Imaging DB
Interface
Hinotori-related
data
API
5
6. Cybersecurity Rules for Medical Devices, including RAS System
IMDRF, “Principles and Practices for
Medical Device Cybersecurity”,
(March 2020)
(https://www.imdrf.org/sites/default/files/docs/i
mdrf/final/technical/imdrf-tech-200318-pp-mdc-
n60.pdf)
6
EU MDCG, “Guidance on Cybersecurity
for Medical Devices Rev.1”
(July 2020)
(https://health.ec.europa.eu/system/files/2022-
01/md_cybersecurity_en.pdf)
MHLW, “Guidance on Assuring
Cybersecurity for Medical Devices in
Medical Institutions” (March 2023)
(https://www.mhlw.go.jp/content/11120000/001094
637.pdf)
7. 2. Worldwide IT Industry 2023 Predictions by IDC
https://www.idc.com/getdoc.jsp?containerId=US49563122
Prediction 1: By 2027, over 50% of IT budgets in most G500 enterprises will be
allotted to connectivity, security, compute, and data assets used to deliver their own
as-a-service processes and smart products.
Prediction 2: In 2025, 60% of infrastructure, security, data, and network offerings will
require cloud-based control platforms that enable extensive automation and promise
major reductions in ongoing operating costs.
Prediction 3: Through 2024, shortcomings in critical skills creation and training efforts
by IT industry leaders will prevent 65% of businesses from achieving full value from
cloud, data, and automation investments.
Prediction 4: Sovereign assertions in sustainability, resiliency, and asset residency
through 2025 will force G2000 CIOs to shift staff, budgets, and operating processes for
more than 35% of IT and data assets.
Prediction 5: In 2023, 70% of enterprises' adoption of as-a-service
infrastructure/software will be curbed more by an inability to assess promises of faster
innovation and operational gains than by cost concerns.
7
8. Prediction 6: By the end of 2024, 60% of platinum-level aaS offerings in
security, business operations, and DaaS will include bundled access to
specialized SME teams to help reduce impact of skills shortages.
Prediction 7: In 2025, 20 high-visibility digital product launches reliant on
intelligent automation and aaS (as a Service) delivery will face major delays
due to global or regional silicon and code supply chain issues.
Prediction 8: Through 2026, 55% of enterprises attempting to use tech-by-
wire offerings will still struggle with a proliferation of siloed control systems
that raise connectivity costs and limit sharing of data.
Prediction 9: In 2026, 45% of G2000 enterprises will continue to face material
risks due to frontline workers' and business leaders' unwillingness to trust
actions initiated by vetted autonomous tech systems.
Prediction 10: By 2027, the ability to deploy and use machine vision as an
inherent capability in any new product/process will be a primary characteristic
of the five fastest-growing enterprises in most industries. 8
9. 3. Japan IT Spending Forecast by Region: 2021-2026
JPY 20,213,700M (EUR 127,935M) in 2022 (YoY Growth +4.6%)
JPY 21,371,600M (EUR 135,263M) in 2023 (YoY Growth +5.7%)
Source: IDC Japan, “Japan IT Spending Forecast by Region: 2021-2026”, January 26, 2023
(JPY Million)
Other areas
Urban areas including
-Tokyo metropolitan areas
-Kansai (Osaka, Kobe, & Kyoto)
-Nagoya
(EUR 1 = JPY 158.0 as of September 30, 2023)
9
10. Key Factors Affecting Total IT Spending
on the Japan Market in 2023
Adoption of Cloud Computing and Subscription
Models among Enterprise Systems
Recovery from COVID-19 Pandemic Emergency
among Retail & Food, Hospitality/Tourism, and
Transports
Large Enterprise: Continuous DX-related Spending
SMEs: Implementation of the Revised Enforcement
Rule of the Electronic Books Preservation Act (in
January 2024) and the Qualified Invoice-based
Method (the Invoice System) (in October 2024)10
11. (e.g.) Japan Business Fedelation, “HealthcareⅣ in the Era
of Society 5.0” (February 14, 2023)
[Recommendation for the Japanese Government]
Source: Cabinet Public Affairs Office, “Roadmap of Medical DX Promotion”, June 2, 2023
(https://www.cas.go.jp/jp/seisaku/iryou_dx_suishin/pdf/suisin_zentaizo.pdf)
Development of Platform for
Health Data Utilization
Development of the Japanese
Version of European Health
Data Space (EHDS)
Lifetime Health Data
Achieving People’s Well-Being at National Level Benefits from Health Data Utilization
・Promotion of Health Management by the People Themselves
・Improvement in Quality of Care
・Promotion of R&D on Pharmaceutical & Medical Devices
・Policy Making for Improvement in Public Health
・Improvement in Operational Effectiveness and Shortened Working Time for Health Workers
・Optimization of Healthcare Costs
Citizens
(Health Management & Medical Care)
Society
(R&D & Policy Making)
Sharing
11
12. 4. Japan Public Cloud Spending Forecast: 2021-2026
JPY 2,159,400M (EUR 13,667M) in 2022 (YoY Growth +29.8%)
JPY 4,279,500M (EUR 27,085M) in 2026
Source: IDC Japan, “Japan Public Cloud Spending Forecast: 2021-2026”, September 15, 2022
(JPY Billion) (YoY Growth %)
(EUR 1 = JPY 158.0 as of September 30, 2023)
12
13. Key Factors Affecting Public Cloud Spending
on the Japan Market in 2023
Expand of Cloud Migration among Enterprise
Systems (Shift from IaaS/PaaS to SaaS)
“Improvement” in Cost Optimization, Availability
Enhancement, and Productivity with Scalable
Cloud (from Small Start)
“Transformation” to Data-driven Business Models
with Advanced Cloud-native Tech (e.g. Serverless)
Challenge: UI/UX & Application Security by Design
13
14. (e.g.) Government Cloud Certification Program:ISMAP
Source: ISMAP Portal , “ISMAP Overview”, as of September 30, 2023
(https://www.ismap.go.jp/csm?id=kb_article_view&sysparm_article=KB0010301)
Reference:
-ISO 27000 series
-ISO 27017
-NIST SP800-53 rev.4
-NISC Common
Standards, etc.
Requirement
for National
Medical
Institutions
14
15. Basic Framework for ISMAP
①Basic Regulations
②ISMAP Cloud Services
Registration Rules
③ISMAP-LIU Cloud Services
Registration Rules
(for SaaS, November 2022)
④Guideline for Evaluating the
Impact of Operations and
Information
⑤Control Criteria of ISMAP
⑥Information Security
Assessment Guidelines
Source: ISMAP Portal, “ISMAP Overview”, as of September 30, 2023
(https://www.ismap.go.jp/csm?id=kb_article_view&sysparm_article=KB0010301)
15
16. ISMAP Cloud Service List
Reference for Procurement by the Central
Government Agencies
e.g.) Microsoft
Office 365
Source: ISMAP Portal , “ISMAP Cloud Service List”, as of September 30, 2023
(https://www.ismap.go.jp/csm?id=cloud_service_list)
16
17. 5. Japan Private Cloud Spending Forecast: 2021-2026
JPY 1,216,300M (EUR 7,698M) in 2021 (YoY Growth +32.3%)
JPY 3,077,100M (EUR 19,475M) in 2026
Source: IDC Japan, “Japan Private Cloud Spending Forecast: 2021-2026”, November 9, 2022
(JPY Billion) (YoY Growth %)
(EUR 1 = JPY 158.0 as of September 30, 2023)
17
18. Key Factors Affecting Private Cloud Spending
on the Japan Market in 2023
Restart of Enterprise Private Cloud Projects after
COVID-19 Pandemic Emergency
Shift from Silo-style Systems to Multi-
Cloud/Hybrid Cloud Deployment
“Improvement” in existing IT Systems (e.g. SAP)
“Transformation” to Data-driven Business Models
Challenge: Shortage of Cloud Architect In-house
18
19. (e.g.)Cabinet Office: Headquarters for Medical Digital
Transformation (DX) Promotion (October 2022~)
Roadmap of Medical DX Promotion
FY2023 FY2024 FY2025 FY2026~
Integration of National ID Cards with Health Insurance Certificate
Health Information Sharing between Hospitals and Pharmacies
e-Prescription
EHR
e-Receipt
Standardization of EHR Data
Expansion of Health Information Sharing with Nursing Homes and Local Governments
Modernization of Health Information Systems via Modulation of Common Building Blocks
Source: Cabinet Public
Affairs Office,
“Roadmap of Medical
DX Promotion”, June 2,
2023
(https://www.cas.go.j
p/jp/seisaku/iryou_dx
_suishin/pdf/suisin_ze
ntaizo.pdf)
Development
of
National
Health
Information
Platform
19
20. (e.g.) Pilot Project on e-Prescription for
Medical DX with Private Cloud
Source: Ministry of Health, Labor, and Welfare (MHLW) “Summery of Pilot Projects and Medical DX Promotion”, October 30,
2022 (https://www.mhlw.go.jp/content/11120000/001001487.pdf)
①KYC/Authentication ④Information Retrieval ⑤KYC/Authentication
My Number
Card
Health Insurance
Card
Health Insurance
Card
My Number
Card
Patients
Patients
National ID Portal
e-Prescription Records
Physician/Dentist
Hospital/Clinic Public Health Insurance
Payment Funds
Pharmacy
Pharmacist
Online Certification System
③Registry of
Prescription
Details
e-Prescription
Management Service
Registry of
Dispensing
Details
②Review of Prescription/ Dispensing
Information & Duplicate Medication Check
⑧Getting Prescription Details
⑦Review of Prescription/ Dispensing
Information & Duplicate Medication Check
Patients
20
21. 6. Japan Information Security Market Forecast:
2020-2026
JPY 436,015M (EUR 2,759M) in 2021 (YoY Growth +16.0%)
JPY 531,745M (EUR 3,365M) in 2026
Source: IDC Japan, “Japan Information Security Market Forecast: 2020-2026”, May 26, 2022
(JPY Million)
Security Appliance
Security Software
(EUR 1 = JPY 158.0 as of September 30, 2023)
21
22. Key Factors Affecting Information Security
on the Japan Market in 2023
Expanding the “Work at Home” Environment after
COVID-19 Pandemic Emergency
Increase of Cyber Incidents Anywhere (e.g.
Ransomware, ID Theft, Personal Data Breach…)
Shift from the On-premise Environment to the
Hybrid Environments Requires Software/Service-
driven Security Solutions (e.g. CASB)
Challenge: Talent Shortage (e.g. DevSecOps) and
Organizational Structure (e.g. CSIRT Vs. PSIRT)
22
23. Healthcare Cybersecurity Rules in Japan
MHLW: (for Healthcare & Nursing Care Providers)
"Guidelines for the Security Management of
Medical Information Systems Version 6.0”
(May 2023)“
(https://www.mhlw.go.jp/stf/shingi/0000516275_00006.html)
MITI: (for Third-Party Health-related IT Vendors)
“Guidelines for the Security Management of
Medical Information Systems & Services Venders
Version 1.1”(July 2023)
(https://www.meti.go.jp/policy/mono_info_service/healthcare/01gl_20230707.pdf)
23
24. Check List for Guidelines for the Security Management of
Medical Information Systems Version 6.0 (June, 2023)
Source: Ministry of Health, Labor, and Welfare (MHLW) “Check List for Guidelines for the Security Management of Medical
Information Systems Version 6.0”, June 2023 (https://www.mhlw.go.jp/content/10808000/001139055.pdf)
For Healthcare Providers For Third-Party Vendors
*Added in FY2024 *Added in FY2024
24
*FY2023~
*FY2023~
25. 7. Green Transformation (GX) in Healthcare
Keisuke Nansai et al. “Carbon Footprint of Japanese
Health Care Services from 2011 to 2015”,
January 2020 (https://doi.org/10.1016/j.resconrec.2019.104525)
In Japan, the carbon footprint of health care accounted for 4.6%
of total national emissions in 2011.
By 2015, the annual carbon footprint had increased to 72.0
MtCO2e owing to the growth of medical expenditures.
The carbon footprint per patient with or without hospitalization
was 12 and 2.1 tCO2e/y, respectively.
Avoiding generation of unused medicines can potentially reduce
emissions by 1.24 MtCO2e/y.
To safeguard planetary health, more options for health promotion
and carbon emission mitigation need to be provided.
25
26. Carbon Footprint of Health Care Service
Segments in Japan (2011)
Source: Keisuke Nansai et al. “Carbon Footprint of Japanese Health Care Services from 2011 to 2015”, January 2020
(https://doi.org/10.1016/j.resconrec.2019.104525)
26
27. Carbon Footprint of Health Care Service
Segments in Japan (2011)
Source: Keisuke Nansai et al. “Carbon Footprint of Japanese Health Care Services from 2011 to 2015”, January 2020
(https://doi.org/10.1016/j.resconrec.2019.104525)
27
28. Carbon Footprint of Japanese Medical Services
by Injury/Disease and Age Class (2011)
Source: Keisuke Nansai et al. “Carbon Footprint of Japanese Health Care Services from 2011 to 2015”, January 2020
(https://doi.org/10.1016/j.resconrec.2019.104525)
28
29. Cloud Computing Needs Carbon-Free Energies
Anywhere
Source: Renantis, “Renantis signs power purchase agreement with Amazon for wind farms in Finland”,
May 31, 2023 (https://renantis.com/media-centre/renantis-signs-power-purchase-agreement-with-
amazon-for-wind-farms-in-finland/)
29