TÀI LIỆU HỘI NGHỊ KỸ THUẬT ĐIỆN QUANG VÀ Y HỌC HẠT NHÂN VIỆT NAM LẦN 7 (2019) Nguồn: https://hinhanhykhoa.com/

1. 2019/8/13
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Introduction of
Enterprise Imaging Solution Platform,
1
Aug. 24, 2019
KONICA MINOLTA Healthcare Americas
Yuta Ueda
According to the trend of consolidation of hospitals and clinics,
Enterprise Imaging market to provide solution regarding imaging in Hospitals / Clinics Gr as
“one enterprise” like Cloud PACS, Universal Viewer and VNA for DICOM & Non‐DICOM data
is emerging though Department PACS is in decline.
Enterprise imaging market trend in US
200
300
400
500
600
700
600
800
1000
1200
1400
1600
1800
2000
Deparment PACS market in US
CAGR 2016 – 2020: ‐4.3%
Enterprise Imaging market in US
CAGR 2016 – 2020: 12.1%
市場規模($M)
市場規模($M)
Large facility
0
100
200
0
200
400
Enterprise Imaging:
Cloud‐PACS, / Universal Viewer / VNA
/ Web‐based Mammo Viewer /Cardio Viewer
2016 2017 2018 2019 2020 2016 2017 2018 2019 2020
Small &
Middle facility

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1.800
2.000
Large Hospital (>300 beds)
Small Hospital (<300 beds)
Market size trend for Enterprise imaging ‐US
Focusing segment in US
‐ Regional hospital Gr
‐ Imaging center(IC) and the Gr
No. of facility for each segment
($M)
Enterprise imaging market size in US
600
800
1.000
1.200
1.400
1.600 Daignostic & Imaging center
Ambulatory Care center
(including Specialty, U.C., Ortho)
Urgent Care Centers
7,100
Diagnostic & Imaging Centers
2,721
702
Large Hospital
1330
Small Hospital
2433
Imaging center(IC) and the Gr
‐ Multi‐specialty Gr
with IC and Urgent care
Academic hospital
Confidential
0
200
400
600
2016 2017 2018 2019 2020
Orthopedic Practices
11,763
Veterinary / Chiropractic practices
Approx. 75,000
Physician/outpatient practice (other than orthopedic)
270,942 (61% small 10 or less/39% more than 10)
Various sources including Medscape, Becker’s Hospital Review, SK&A
research, Radiology Business, AHA Fast Facts
Improvement of
image diagnosis efficiency
by radiologists
Customer's issues to solve Customer Value Proposition
Image diagnosis and report making
anywhere by any devices
Required Customer’s Value Proposition
Improvement of
operating efficiency
of modalities
Image integration with EHR
Is complicated
Share study schedules and worklists
anywhere
The ability to view DICOM and
non‐DICOM images and connect viewing
function to EHR easily
Improvement of
comprehensive workflow
from exam. ordering –
scheduling ‐Image diagnosis
‐ report editing – billing
One stop solution for Scheduling/RIS
/PACS/billing/Portal
with one integrated DB
hinhanhykhoa.com

3. 2019/8/13
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provides full web‐based RIS/PACS, Mammo viewer, Cardio viewer, Billing
and Patient portal/Physician portal as One‐stop Enterprise imaging solution
Enterprise Imaging solution platform,
differentiates;
Server‐Side Rendering (SSR) for
fast access to images without
prefetching or autorouting images
True ZFP
Viewing
Server‐side
Rendering
True Zero Footprint (ZFP) viewing with
full diagnostic toolsets and viewing
capabilities from any computers
5
prefetching or autorouting imagesRendering
(SSR)
Single
Integrated
DB
Single integrated database for
DICOM image/Non‐DICOM data/
Clinical information/Billing information
In‐house
server on WS
(by Radiologist)
On EHR
(b Cli i i )
Provide on Web browser
on WS
(by Radiologist)
on HER
(by Clinician)
on Mobile
Scalable to provide from Enterprise PACS
for hospitals to cloud PACS for specialty Gr
APPS
Platform
exa Platform
Cloud(IDC)
C‐3 C‐4
<Hospital＞
(by Clinician)
on Mobile
APPS
Patient
Portal
Physician
Portal
Billing
RIS
(Schedule)
PACS
Si l I d DB
Platform
Image Rendering Engine
Mammo
Viewer
Cardio,
Viewer
AI for
Image
Diagnosis
APPS
Platform
PC
C‐3 C‐4
PC
C‐3 C‐4
<Multi‐specialty Gr（Clinic Gr)>
C‐3 C‐4
CTUS DR
External Info, system
(EHR・・）
GWBilling
Data
Clinical
Data
Non‐DICOM
Data
DICOM
image
Single Integrated DB
GW（DICOM, HL7)
GW

4. 2019/8/13
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Provide on Web browser
on WS
(by Radiologist)
on HER
(by Clinician)
on Mobile
Function modules in exa Suite
Full diagnostic toolsets and viewing capabilities
for radiology PACS are provided from any device
PACS
Dictation function on Web browser by using Google
APPS
Patient
Portal
Physician
Portal
Billing
RIS
(Schedule)
PACS
Si l I d DB
Platform
Image Rendering Engine
Mammo
Viewer
Cardio,
Viewer
AI for
Image
Diagnosis
PACS
Dictation function on Web browser by using Google
Voice for making diagnosis report
Custom Workflow design engine based on facility’s
needs using drag and drop design
C‐3 C‐4
CTUS DR
External Info, system
(EHR・・）
Billing
Data
Clinical
Data
Non‐DICOM
Data
DICOM
image
Single Integrated DB
GW（DICOM, HL7)
Provide on Web browser
on WS
(by Radiologist)
on HER
(by Clinician)
on Mobile
Function modules in exa Suite
A solution tailored specifically for the challenges of
3D mammography
MAMMO
APPS
Patient
Portal
Physician
Portal
Billing
RIS
(Schedule)
PACS
Si l I d DB
Platform
Image Rendering Engine
Mammo
Viewer
Cardio,
Viewer
AI for
Image
Diagnosis
Mammo
Viewer
No need for a separate mammography workstation
Customizable mammography workflow builder/engine
Works as a stand‐alone or supplements existing
PACS/VNA
Enables radiologists to read & diagnose remotely,
from any location
C‐3 C‐4
CTUS DR
External Info, system
(EHR・・）
Billing
Data
Clinical
Data
Non‐DICOM
Data
DICOM
image
Single Integrated DB
GW（DICOM, HL7)

5. 2019/8/13
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Provide on Web browser
on WS
(by Radiologist)
on HER
(by Clinician)
on Mobile
Function modules in exa Suite
Echocardiogram and stress echocardiogram viewer
Motion/cine viewer
CARDIO
APPS
Patient
Portal
Physician
Portal
Billing
RIS
(Schedule)
PACS
Si l I d DB
Platform
Image Rendering Engine
Mammo
Viewer
Cardio,
Viewer
AI for
Image
Diagnosis
Cardio,
Viewer
Customizable structured reporting (SR)
Ultrasound SR measurement auto population
Consolidated radiology/cardiology platform
Remote reading of large video files
C‐3 C‐4
CTUS DR
External Info, system
(EHR・・）
Billing
Data
Clinical
Data
Non‐DICOM
Data
DICOM
image
Single Integrated DB
GW（DICOM, HL7)
Provide on Web browser
on WS
(by Radiologist)
on HER
(by Clinician)
on Mobile
Function modules in exa Suite
Multi Resource Scheduling – link a procedure code
(ICD‐10) with multiple modality types
l b d h d l h d l l
RIS(SCHEDULING)
APPS
Patient
Portal
Physician
Portal
Billing
RIS
(Schedule)
PACS
Si l I d DB
Platform
Image Rendering Engine
Mammo
Viewer
Cardio,
Viewer
AI for
Image
Diagnosis
RIS
(Schedule)
Rules‐based Scheduling – create scheduling rules
based on modality, resource and appointment type
Automated Notifications for appointment status
changes (new, change, cancelled) as email, text & fax.
C‐3 C‐4
CTUS DR
External Info, system
(EHR・・）
Billing
Data
Clinical
Data
Non‐DICOM
Data
DICOM
image
Single Integrated DB
GW（DICOM, HL7)

6. 2019/8/13
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Provide on Web browser
on WS
(by Radiologist)
on HER
(by Clinician)
on Mobile
Function modules in exa Suite
PORTAL
R f i Ph i i ’ P t l P ti t P t l
APPS
Patient
Portal
Physician
Portal
Billing
RIS
(Schedule)
PACS
Si l I d DB
Platform
Image Rendering Engine
Mammo
Viewer
Cardio,
Viewer
AI for
Image
Diagnosis
Physician
Portal
Patient
Portal
Remote Web access to images,
reports and scanned documents
as well as online exam ordering
Referring Physician’s Portal
Remote Web access to images,
reports and administrative forms
digitally
Patient Portal
C‐3 C‐4
CTUS DR
External Info, system
(EHR・・）
Billing
Data
Clinical
Data
Non‐DICOM
Data
DICOM
image
Single Integrated DB
GW（DICOM, HL7)
Patient Referring Physician
(12,000 )
Memorial MRI Imaging Gr
Reception Scheduling Exam. room Radiologist
Insurance
company
DR
CTPhysician with PC/i-pad
10 sites, 300K study /year, MRI:14, CT:7 Mammo :14
With 40 radiologists and 12,000 referring physicians
One‐stop Solution example for Imaging center in US by exa
RIS/PACS RIS/PACSRIS
Pre-order(HL7)
Report(HL7)EHR
Billing
Report
Pre-order
A
B
C
Scheduling
View
image
Create report
HIPAA EDI 837 set(claim info)
Submit
Claim
Physician with EHR
Patient
portal
HIPAA EDI 835 file(payment info)
Report
Physician
portal
Data interchange
Payment
Categorize
CPT code
Claim
submission
Check
Claim
Revenue
recognized
Make
report
accept
Apply payment
by remittance
Send invoice
by patient
DiagnosisExam.SchedulingPre-order of exam.
Data interchange
provider

7. 2019/8/13
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Provincial Data center
WS
Establish Data center with exa in Provincial hospital
Provide regional tele‐radiology service to hospitals around provincial hospital by exa.
Provide chest X‐ray imaging AI (BSI) further for improving image diagnosis efficiency
Proposal of Provincial data center concept by exa in Asean
Hospital
WS
EHR
C‐3 C‐4
Data
exa
Portal
Report
Radiologist
Physician
Chest X‐ray
Imaging AI
(BSI)
Hospital -1 C‐3 C‐4
C‐3 C‐4 C‐3 C‐4
Image
Hospital -2 Hospital -3
Physician
DR DR DR
exa exa exa
Global HCIT Platform
API/IF
AIImage Sever-sideData Data
PACS
Manmo
Viewer
Cardio
Viewer
RIS
Billing
/ RCM
Patient
Portal
/ Kiosk
Physician
Portal
Chat
KM’s
own AI
3rd.
Party’s AI
KM’s vision to aim as HCIT Solution provider
Bone
Surpprssion
Cloud(iDC)
(exa/GIP)
KM’s own devices External devices/Systems
In-house
Server
AI
IF
g
Process
ZFP
renderingAggregation Archive
ZFP
KM’s
Own AI
3rd. Patry’s
AI
Dynamic
Chest
Imaging LTA for COPD
14HSTT SPFS
AeroDR Sonimage
bizhub
CT/MR
EKG
PACS
EHR
Wearable
devices
Clinician PatientRadiologist Reception
Improvement of
image diagnosis
efficiency
by radiologists
Improvement of
operating efficiency
of modalities
Improvement
of total WF
from imaging
to billing
Providing diagnosis
Result to patient
quickly
Imaging AI Platform
API for AI
Storage
DICOM
Storage
DICOM
Storage/SR
PACS DICOM GW

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