SlideShare une entreprise Scribd logo
1  sur  39
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
AWS AI/ML 如何幫助醫療業
T r a c k 6 | S e s s i o n 4
Young Yang
ML Specialist SA
Amazon Web Services
丁偉能 (Wayne Ting)
General Manager of Taiwan Region
商之器科技股份有限公司 (EBM Technologies)
AI / ML Technologies reshaping healthcare
1
Voice
ASR/NLU
Vision
CV/DL/RL/NLP
2 3 4
Prediction
ML
Sensation
IoT
Automation
Bots/Robotics
Perception
AR/VR
Mobility
GPS/BTLE/5G
Trust
Blockchain
5 6 7 8
Impact of COVID-19 pandemic on trials
Site staff
SitesPatients CRA’s
Supply & Distribution
Manufacturing
Disruptors:
Travel limitations
Participant Fear
Supply chain disruption Key challenges
• Ensuring patient safety as top priority
• Patient enrollment declined
60-90% in March
• Only “essential trials” which address
life threatening conditions should be
continued
• Impact on investigational product
supply
• Study integrity at risk; impacted by
patient enrollment, patient retention,
and missing data
Drug Supply
direct-to patient supply
by certified distribution
partners
Self
examination
Patients can conduct
certain activities at home.
Impact of mobility in
healthcare devices with
intelligent models.
Remote
Monitoring
Require seamless to
integrate
compliance data.
Identify and alert
anomalies. Mitigate
security and
connection issues.
Decentralized
trials
Integrate virtual trial
platforms. Some visits
require patient to a
local facility for major
medical equipment.
A Better, Simpler Pharmacy
Optimized manufacturing,
automation, and fulfillment centers
Last mile delivery—direct to consumer
Data-driven supply chain and ML driven by AWS
Fulfillment logistics for degradable
products like vaccines and biologics
Currently doing fulfillment for Class I/II devices
Continuing innovation and disruption—
online vs traditional pharmacy
Drug Supply Self
examination
Remote
Monitoring
Decentralized
trials
direct-to patient supply
by certified distribution
partners
Patients can conduct
certain activities at home.
Impact of mobility in
healthcare devices with
intelligent models.
Require seamless to
integrate
compliance data.
Identify and alert
anomalies. Mitigate
security and
connection issues.
Integrate virtual trial
platforms. Some visits
require patient to a
local facility for major
medical equipment.
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Triage Protocol – Sample
Example of the Screening Questions
Age m <18 m 18-60 m Over 60
Have you been in contact with someone know to have coronavirus
(COVID-19)? m Yes m No
Have you been told by a public health official or your employer you
may have been exposed to coronavirus (COVID-19) m Yes m No
Are you experiencing any of the following symptoms?
m New Cough
m Fever > 100.4
m New shortness of breath
m New sore throat
m New muscle aches (myalgia)
Have your recently been in a skilled nursing facility? m Yes m No
Do you have any of the following medical conditions
(comorbidities)?
m Heart disease such as congestive heart failure?
m Lung disease such as COPD or emphysema
m Liver disease
m Kidney disease
Are you immunocompromised? m Yes m No
Logic
 New onset cough Yes  refer for evaluation through telehealth,
 Referred by public health official or employer Yes  refer for
evaluation through telehealth
We help you convert your
triage protocol into rules
that are easy to deploy and
update
COVID-19 Response Bot Reference Architecture
Partners addressing COVID-19
Drug Supply Self
examination
Remote
Monitoring
Decentralized
trials
direct-to patient supply
by certified distribution
partners
Patients can conduct
certain activities at home.
Impact of mobility in
healthcare devices with
intelligent models.
Require seamless to
integrate
compliance data.
Identify and alert
anomalies. Mitigate
security and
connection issues.
Integrate virtual trial
platforms. Some visits
require patient to a
local facility for major
medical equipment.
Healthcare IoT Abuse
2017
WannaCry
2018
Hacked cardiac
devices
70K+ devices
including computers,
MRI scanners, blood-
storage, refrigerators
and theatre equipment
Via Radio frequency
(RF):
heart failure or heart
rhythm problems
2019
Insulin Pumps
Wireless or USB
change the pump’s
settings to either over-
deliver, or stop-delivery
2020
SweynTooth
Bluetooth Low Energy
(BLE)
Crash or deadlock the
devices. The device may
freeze and stop working
correctly
source:FDA
Security and compliance are job zero
”
“Healthcare institutions
don’t have the time and
resources to devote to
cybersecurity that an
established cloud
provider might have…
Lee Kim, Director,
Privacy & Security,
HIMSS NA
50+ global compliance certifications
(e.g., HITRUST, ISO 9001),
accreditations and 120+HIPAA
eligible services
AWS industry-leading security teams
work 24/7, 365 days a year
Security enhancements from 1M+
customer experiences with tools like
Amazon Macie, Amazon GuardDuty
and IoT Defender
Security infrastructure built to satisfy
military, global banks and other high-
sensitivity organizations
120+
HIPAA Eligible Services
https://aws.amazon.com/compliance/services-in-scope/
until 2020.4.30 latest information ref:
Drug Supply Self
examination
Remote
Monitoring
Decentralized
trials
direct-to patient supply
by certified distribution
partners
Patients can conduct
certain activities at home.
Impact of mobility in
healthcare devices with
intelligent models.
Require seamless to
integrate
compliance data.
Identify and alert
anomalies. Mitigate
security and
connection issues.
Integrate virtual trial
platforms. Some visits
require patient to a
local facility for major
medical equipment.
Butterfly Networks improves access to ultrasound exams
Handheld whole-body
ultrasound system coupled
with a cloud-based,
intelligent data and analytics
platform designed to make
medical imaging universally
accessible and affordable
© 2020, Amazon Web Services, Inc. or its Affiliates. https://aws.amazon.com/health/covid-19/
COVID-19 HPC Consortium AWS Diagnostic Development Initiative
© 2020, Amazon Web Services, Inc. or its Affiliates.
https://registry.opendata.aws/
s3://covid19-lake
https://cord19.aws/
© 2020, Amazon Web Services, Inc. or its Affiliates.
QuickSight for COVID-19 Dashboard blog
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
AWS AI/ML 如何幫助醫療業
丁偉能 (Wayne Ting)
General Manager of Taiwan Region
商之器科技股份有限公司 (EBM Technologies)
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Our Company
Established in 1988
Experts in PACS (Picture Archiving and
Communication Systems) as well as
Telemedicine/Telehealth solutions
150 employees are working in four locations:
Taipei, Tokyo, Beijing and Honolulu
Thousands of PACS licenses are installed in over
3,500 hospitals
We support customers worldwide (Taiwan, Japan,
China, Southeast and Central Asia, USA, EU)
Quality Assurance
Our Company
Year 1998
Year 2020
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Workflow
First-line ambulance personnel cannot correctly interpret ECG ,
so they require the support of physicians. With an accurate AI
model, medical staffs can prepare earlier and transfer patients
to hospitals with cardiac catheterization service resources
before doctors’ instruction (physicians need to pay attention to
check messages or Line at any time), which can avoid delaying
treatment because of transfers .
Despite of getting an ECG at night, Inpatients’ ECG result are
generally diagnosed until the next morning or when doctors are
sufficient. With the help of ECG waveform and acute
myocardial infarction (AMI) detection, medical personnel can
immediately receive notifications and pay attention to the
patients when AI models find waves that probably caused by
AMI, which turn myocardial infarction into a service that can be
intervened at any time.
The Pre-hospital 12 Lead
ECG Rescue System
EBM Pre-hospital
12 Lead ECG Machine
Only one step: one click for all service
Press Enter to automatically run through all processes,
including sending ECG and showing Chinese reminders
EBM Pre-hospital
12 Lead ECG Machine
1. ECG Three-mode Chinese prompts: auto-presented, built-in report
Red:Acute MI Yellow:VF,VT Green:NONE, Normal
2. You will hear a warning sound when detected as acute myocardial
infarction or critical cases
3. According to the site, for example, you
can choose “the monitor ECG 30 minutes”
function.
( When the ECG waveform is abnormal, the waveform
will be rendered in red. )
Patient-safety Reporting –
ECG WARNING!
Method-A:
Receive ECG via E-mail, open
attachment file directly to view ECG
Metod-B:
Receive ECG notice via SMS
Click on the link to open MobiPACS to view ECG
**ACUTE MI**
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
心肌梗塞篩查 + 即時通報機制 = 病患安全管理
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Humanities Accomplishment
My workshop actually started from the project ...
AWS Data Scientist: The impression of the previous cooperation with them is different from my domain
knowledge. We usually adjust how to offer the data from the ML perspective.
Me: In the long-term development and research process, I gradually used the engineer's perspective to
classify the data, because I believe that it will accelerate the development of the team.
About Data Scientist with
Domain Knowledge
Easily Think Outside
the Box of Data
Try to think outside the box to find the best solution without limited by
experience and familiarize with the theory of each mold, so that the data can
be calculated and get a new interpretation. For example, this project believes
that QRS is a feature in EKG traditionally, but it is just the base of eigenvector
for Data Scientist.
Me: Cool! You change my thinking.
AWS Data Scientist: Yes, we were also surprised by the outcome.
get the best solution without presumption
Accelerated
implementation
In this workshop, we change the complicated,
expensive, and repeat process of ML
developing into an integration tool for the
entire machine learning workflow. Through a
single tool set, all the elements used for
machine learning are provided to solve this
problem. Therefore, lower costs are put into
production and the process is faster.
About Data Scientist with Domain Knowledge
38
ABOUT DATA SCIENTIST WITH DOMAIN KNOWLEDGE
Thank you!
© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.

Contenu connexe

Tendances

Creazione del business case per l'adozione del cloud nella tua azienda
Creazione del business case per l'adozione del cloud nella tua aziendaCreazione del business case per l'adozione del cloud nella tua azienda
Creazione del business case per l'adozione del cloud nella tua aziendaAmazon Web Services
 
AWS IoT: servizi costruiti per migliorare le performance di business
AWS IoT: servizi costruiti per migliorare le performance di businessAWS IoT: servizi costruiti per migliorare le performance di business
AWS IoT: servizi costruiti per migliorare le performance di businessAmazon Web Services
 
How to get from Zero to Hundreds of Certified Engineers
How to get from Zero to Hundreds of Certified EngineersHow to get from Zero to Hundreds of Certified Engineers
How to get from Zero to Hundreds of Certified EngineersAmazon Web Services
 
AWS Cloud Value Framework - AWS Transformation Days Raleigh 2018.pdf
AWS Cloud Value Framework - AWS Transformation Days Raleigh 2018.pdfAWS Cloud Value Framework - AWS Transformation Days Raleigh 2018.pdf
AWS Cloud Value Framework - AWS Transformation Days Raleigh 2018.pdfAmazon Web Services
 
Transforming your Business Ops Team for Cloud - AWS Summit Sydney 2018
Transforming your Business Ops Team for Cloud - AWS Summit Sydney 2018Transforming your Business Ops Team for Cloud - AWS Summit Sydney 2018
Transforming your Business Ops Team for Cloud - AWS Summit Sydney 2018Amazon Web Services
 
Internet of Things e Machine Learning: i principali casi d'uso
Internet of Things e Machine Learning: i principali casi d'usoInternet of Things e Machine Learning: i principali casi d'uso
Internet of Things e Machine Learning: i principali casi d'usoAmazon Web Services
 
Achieving Your Department Objectives: Providing Better Citizen Services at Lo...
Achieving Your Department Objectives: Providing Better Citizen Services at Lo...Achieving Your Department Objectives: Providing Better Citizen Services at Lo...
Achieving Your Department Objectives: Providing Better Citizen Services at Lo...Amazon Web Services
 
Cloud Operating Models for Accelerated Cloud Transformation - AWS Summit Sydney
Cloud Operating Models for Accelerated Cloud Transformation - AWS Summit SydneyCloud Operating Models for Accelerated Cloud Transformation - AWS Summit Sydney
Cloud Operating Models for Accelerated Cloud Transformation - AWS Summit SydneyAmazon Web Services
 
Migrate legacy applications to AWS at scale with no code changes (Sponsored b...
Migrate legacy applications to AWS at scale with no code changes (Sponsored b...Migrate legacy applications to AWS at scale with no code changes (Sponsored b...
Migrate legacy applications to AWS at scale with no code changes (Sponsored b...Amazon Web Services
 
Cloud Choices Quantifying the Cost and Risk Implications of Cloud
Cloud Choices Quantifying the Cost and Risk Implications of CloudCloud Choices Quantifying the Cost and Risk Implications of Cloud
Cloud Choices Quantifying the Cost and Risk Implications of CloudAmazon Web Services
 
What IT Transformation Really Means for the Enterprise
What IT Transformation Really Means for the EnterpriseWhat IT Transformation Really Means for the Enterprise
What IT Transformation Really Means for the EnterpriseTom Laszewski
 
AWS Summit Singapore Webinar Edition | Architecting a Serverless Data Lake on...
AWS Summit Singapore Webinar Edition | Architecting a Serverless Data Lake on...AWS Summit Singapore Webinar Edition | Architecting a Serverless Data Lake on...
AWS Summit Singapore Webinar Edition | Architecting a Serverless Data Lake on...Amazon Web Services
 
AWS Initiate Berlin - Cloud Transformation und der Faktor Mensch
AWS Initiate Berlin - Cloud Transformation und der Faktor MenschAWS Initiate Berlin - Cloud Transformation und der Faktor Mensch
AWS Initiate Berlin - Cloud Transformation und der Faktor MenschAmazon Web Services
 
Building transformational business value through broad organizational engagem...
Building transformational business value through broad organizational engagem...Building transformational business value through broad organizational engagem...
Building transformational business value through broad organizational engagem...Amazon Web Services
 
Achieving Visibility, Security and Real-Time Actionable Alerts Using VPC Flow...
Achieving Visibility, Security and Real-Time Actionable Alerts Using VPC Flow...Achieving Visibility, Security and Real-Time Actionable Alerts Using VPC Flow...
Achieving Visibility, Security and Real-Time Actionable Alerts Using VPC Flow...Amazon Web Services
 
AWS IoT - from Cloud to Edge | AWS Floor28
AWS IoT - from Cloud to Edge | AWS Floor28AWS IoT - from Cloud to Edge | AWS Floor28
AWS IoT - from Cloud to Edge | AWS Floor28Amazon Web Services
 

Tendances (20)

Creazione del business case per l'adozione del cloud nella tua azienda
Creazione del business case per l'adozione del cloud nella tua aziendaCreazione del business case per l'adozione del cloud nella tua azienda
Creazione del business case per l'adozione del cloud nella tua azienda
 
AWS IoT: servizi costruiti per migliorare le performance di business
AWS IoT: servizi costruiti per migliorare le performance di businessAWS IoT: servizi costruiti per migliorare le performance di business
AWS IoT: servizi costruiti per migliorare le performance di business
 
How to get from Zero to Hundreds of Certified Engineers
How to get from Zero to Hundreds of Certified EngineersHow to get from Zero to Hundreds of Certified Engineers
How to get from Zero to Hundreds of Certified Engineers
 
AWS Cloud Value Framework - AWS Transformation Days Raleigh 2018.pdf
AWS Cloud Value Framework - AWS Transformation Days Raleigh 2018.pdfAWS Cloud Value Framework - AWS Transformation Days Raleigh 2018.pdf
AWS Cloud Value Framework - AWS Transformation Days Raleigh 2018.pdf
 
Transforming your Business Ops Team for Cloud - AWS Summit Sydney 2018
Transforming your Business Ops Team for Cloud - AWS Summit Sydney 2018Transforming your Business Ops Team for Cloud - AWS Summit Sydney 2018
Transforming your Business Ops Team for Cloud - AWS Summit Sydney 2018
 
Future of Enterprise IT
Future of Enterprise IT Future of Enterprise IT
Future of Enterprise IT
 
Internet of Things e Machine Learning: i principali casi d'uso
Internet of Things e Machine Learning: i principali casi d'usoInternet of Things e Machine Learning: i principali casi d'uso
Internet of Things e Machine Learning: i principali casi d'uso
 
Achieving Your Department Objectives: Providing Better Citizen Services at Lo...
Achieving Your Department Objectives: Providing Better Citizen Services at Lo...Achieving Your Department Objectives: Providing Better Citizen Services at Lo...
Achieving Your Department Objectives: Providing Better Citizen Services at Lo...
 
Cloud Operating Models for Accelerated Cloud Transformation - AWS Summit Sydney
Cloud Operating Models for Accelerated Cloud Transformation - AWS Summit SydneyCloud Operating Models for Accelerated Cloud Transformation - AWS Summit Sydney
Cloud Operating Models for Accelerated Cloud Transformation - AWS Summit Sydney
 
Migrate legacy applications to AWS at scale with no code changes (Sponsored b...
Migrate legacy applications to AWS at scale with no code changes (Sponsored b...Migrate legacy applications to AWS at scale with no code changes (Sponsored b...
Migrate legacy applications to AWS at scale with no code changes (Sponsored b...
 
12 Steps to Cloud
12 Steps to Cloud12 Steps to Cloud
12 Steps to Cloud
 
Cloud Choices Quantifying the Cost and Risk Implications of Cloud
Cloud Choices Quantifying the Cost and Risk Implications of CloudCloud Choices Quantifying the Cost and Risk Implications of Cloud
Cloud Choices Quantifying the Cost and Risk Implications of Cloud
 
AWS Security Hub
AWS Security HubAWS Security Hub
AWS Security Hub
 
What IT Transformation Really Means for the Enterprise
What IT Transformation Really Means for the EnterpriseWhat IT Transformation Really Means for the Enterprise
What IT Transformation Really Means for the Enterprise
 
AWS Summit Singapore Webinar Edition | Architecting a Serverless Data Lake on...
AWS Summit Singapore Webinar Edition | Architecting a Serverless Data Lake on...AWS Summit Singapore Webinar Edition | Architecting a Serverless Data Lake on...
AWS Summit Singapore Webinar Edition | Architecting a Serverless Data Lake on...
 
AWS Initiate Berlin - Cloud Transformation und der Faktor Mensch
AWS Initiate Berlin - Cloud Transformation und der Faktor MenschAWS Initiate Berlin - Cloud Transformation und der Faktor Mensch
AWS Initiate Berlin - Cloud Transformation und der Faktor Mensch
 
Cloud Migration Workshop
Cloud Migration WorkshopCloud Migration Workshop
Cloud Migration Workshop
 
Building transformational business value through broad organizational engagem...
Building transformational business value through broad organizational engagem...Building transformational business value through broad organizational engagem...
Building transformational business value through broad organizational engagem...
 
Achieving Visibility, Security and Real-Time Actionable Alerts Using VPC Flow...
Achieving Visibility, Security and Real-Time Actionable Alerts Using VPC Flow...Achieving Visibility, Security and Real-Time Actionable Alerts Using VPC Flow...
Achieving Visibility, Security and Real-Time Actionable Alerts Using VPC Flow...
 
AWS IoT - from Cloud to Edge | AWS Floor28
AWS IoT - from Cloud to Edge | AWS Floor28AWS IoT - from Cloud to Edge | AWS Floor28
AWS IoT - from Cloud to Edge | AWS Floor28
 

Similaire à It sounds like you had an insightful experience collaborating across domains. Bringing together different perspectives, like data science and the medical field, can lead to innovative solutions. An open and learning mindset seems key

AI in Healthcare: Can AI Help in Diagnosing Coronavirus
AI in Healthcare: Can AI Help in Diagnosing CoronavirusAI in Healthcare: Can AI Help in Diagnosing Coronavirus
AI in Healthcare: Can AI Help in Diagnosing CoronavirusSkyl.ai
 
A PROJECT REPORT ON CLOUD ASSISTED PRIVACY PRESERVING MOBILE HEALTH MONITORING
A PROJECT REPORT ON CLOUD ASSISTED PRIVACY PRESERVING MOBILE HEALTH MONITORING  A PROJECT REPORT ON CLOUD ASSISTED PRIVACY PRESERVING MOBILE HEALTH MONITORING
A PROJECT REPORT ON CLOUD ASSISTED PRIVACY PRESERVING MOBILE HEALTH MONITORING DMV SAI
 
Healthcare digital transformation - How to lead it COMB def.pdf
Healthcare digital transformation - How to lead it COMB def.pdfHealthcare digital transformation - How to lead it COMB def.pdf
Healthcare digital transformation - How to lead it COMB def.pdfAgustin Argelich Casals
 
Utilizing wearable technology in remote patient monitoring with aging populat...
Utilizing wearable technology in remote patient monitoring with aging populat...Utilizing wearable technology in remote patient monitoring with aging populat...
Utilizing wearable technology in remote patient monitoring with aging populat...Valencell, Inc
 
Digitalizing Healthcare- Ralph Wiegner, Siemens Healthineers for mHealth Israel
Digitalizing Healthcare- Ralph Wiegner, Siemens Healthineers for mHealth IsraelDigitalizing Healthcare- Ralph Wiegner, Siemens Healthineers for mHealth Israel
Digitalizing Healthcare- Ralph Wiegner, Siemens Healthineers for mHealth IsraelLevi Shapiro
 
E-Health Care Cloud Solution
E-Health Care Cloud SolutionE-Health Care Cloud Solution
E-Health Care Cloud SolutionIRJET Journal
 
Securing the digital front door
Securing the digital front doorSecuring the digital front door
Securing the digital front doorRyan Coleman
 
Accure ai healthcare offering v4
Accure ai healthcare offering v4Accure ai healthcare offering v4
Accure ai healthcare offering v4Accureinc
 
5 Healthcare Tech Trends To Watch
5 Healthcare Tech Trends To Watch5 Healthcare Tech Trends To Watch
5 Healthcare Tech Trends To WatchStaples
 
Disruptive Insurance Product Innovation Using IoT in Healthcare
Disruptive Insurance Product Innovation Using IoT in HealthcareDisruptive Insurance Product Innovation Using IoT in Healthcare
Disruptive Insurance Product Innovation Using IoT in HealthcareAmazon Web Services
 
IRJET- Hiding Sensitive Medical Data using Encryption
IRJET- Hiding Sensitive Medical Data using EncryptionIRJET- Hiding Sensitive Medical Data using Encryption
IRJET- Hiding Sensitive Medical Data using EncryptionIRJET Journal
 
Information technology in health care management
Information technology in health care managementInformation technology in health care management
Information technology in health care managementmohamedmoosa2
 
Use Cases - Healthcare & Banking.pptx
Use Cases - Healthcare & Banking.pptxUse Cases - Healthcare & Banking.pptx
Use Cases - Healthcare & Banking.pptxDimple N Rakhiani
 
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Andrew Hooge, Val...
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Andrew Hooge, Val...HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Andrew Hooge, Val...
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Andrew Hooge, Val...HxRefactored
 
Our Journey to Release a Patient-Centric AI App to Reduce Public Health Costs
Our Journey to Release a Patient-Centric AI App to Reduce Public Health CostsOur Journey to Release a Patient-Centric AI App to Reduce Public Health Costs
Our Journey to Release a Patient-Centric AI App to Reduce Public Health CostsDatabricks
 

Similaire à It sounds like you had an insightful experience collaborating across domains. Bringing together different perspectives, like data science and the medical field, can lead to innovative solutions. An open and learning mindset seems key (20)

AI in Healthcare: Can AI Help in Diagnosing Coronavirus
AI in Healthcare: Can AI Help in Diagnosing CoronavirusAI in Healthcare: Can AI Help in Diagnosing Coronavirus
AI in Healthcare: Can AI Help in Diagnosing Coronavirus
 
A PROJECT REPORT ON CLOUD ASSISTED PRIVACY PRESERVING MOBILE HEALTH MONITORING
A PROJECT REPORT ON CLOUD ASSISTED PRIVACY PRESERVING MOBILE HEALTH MONITORING  A PROJECT REPORT ON CLOUD ASSISTED PRIVACY PRESERVING MOBILE HEALTH MONITORING
A PROJECT REPORT ON CLOUD ASSISTED PRIVACY PRESERVING MOBILE HEALTH MONITORING
 
Healthcare digital transformation - How to lead it COMB def.pdf
Healthcare digital transformation - How to lead it COMB def.pdfHealthcare digital transformation - How to lead it COMB def.pdf
Healthcare digital transformation - How to lead it COMB def.pdf
 
Utilizing wearable technology in remote patient monitoring with aging populat...
Utilizing wearable technology in remote patient monitoring with aging populat...Utilizing wearable technology in remote patient monitoring with aging populat...
Utilizing wearable technology in remote patient monitoring with aging populat...
 
Digitalizing Healthcare- Ralph Wiegner, Siemens Healthineers for mHealth Israel
Digitalizing Healthcare- Ralph Wiegner, Siemens Healthineers for mHealth IsraelDigitalizing Healthcare- Ralph Wiegner, Siemens Healthineers for mHealth Israel
Digitalizing Healthcare- Ralph Wiegner, Siemens Healthineers for mHealth Israel
 
E-Health Care Cloud Solution
E-Health Care Cloud SolutionE-Health Care Cloud Solution
E-Health Care Cloud Solution
 
Securing the digital front door
Securing the digital front doorSecuring the digital front door
Securing the digital front door
 
Pegwin pitch deck
Pegwin pitch deckPegwin pitch deck
Pegwin pitch deck
 
Low fidelitydeck-Team Emergent
Low fidelitydeck-Team EmergentLow fidelitydeck-Team Emergent
Low fidelitydeck-Team Emergent
 
Accure ai healthcare offering v4
Accure ai healthcare offering v4Accure ai healthcare offering v4
Accure ai healthcare offering v4
 
5 Healthcare Tech Trends To Watch
5 Healthcare Tech Trends To Watch5 Healthcare Tech Trends To Watch
5 Healthcare Tech Trends To Watch
 
Disruptive Insurance Product Innovation Using IoT in Healthcare
Disruptive Insurance Product Innovation Using IoT in HealthcareDisruptive Insurance Product Innovation Using IoT in Healthcare
Disruptive Insurance Product Innovation Using IoT in Healthcare
 
Fast and fire-walled IOT healthcare-Baseer
Fast and fire-walled  IOT healthcare-BaseerFast and fire-walled  IOT healthcare-Baseer
Fast and fire-walled IOT healthcare-Baseer
 
IRJET- Hiding Sensitive Medical Data using Encryption
IRJET- Hiding Sensitive Medical Data using EncryptionIRJET- Hiding Sensitive Medical Data using Encryption
IRJET- Hiding Sensitive Medical Data using Encryption
 
Tenwave Infotech - Healthcare IT solution
Tenwave Infotech - Healthcare IT solutionTenwave Infotech - Healthcare IT solution
Tenwave Infotech - Healthcare IT solution
 
eHealthCare
eHealthCareeHealthCare
eHealthCare
 
Information technology in health care management
Information technology in health care managementInformation technology in health care management
Information technology in health care management
 
Use Cases - Healthcare & Banking.pptx
Use Cases - Healthcare & Banking.pptxUse Cases - Healthcare & Banking.pptx
Use Cases - Healthcare & Banking.pptx
 
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Andrew Hooge, Val...
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Andrew Hooge, Val...HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Andrew Hooge, Val...
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Andrew Hooge, Val...
 
Our Journey to Release a Patient-Centric AI App to Reduce Public Health Costs
Our Journey to Release a Patient-Centric AI App to Reduce Public Health CostsOur Journey to Release a Patient-Centric AI App to Reduce Public Health Costs
Our Journey to Release a Patient-Centric AI App to Reduce Public Health Costs
 

Plus de Amazon Web Services

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
 
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
 
Esegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateEsegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateAmazon Web Services
 
Costruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSCostruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSAmazon Web Services
 
Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
 
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
 
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
 
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsMicrosoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
 
Database Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareDatabase Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareAmazon Web Services
 
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSCrea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
 
API moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAPI moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAmazon Web Services
 
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareDatabase Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
 
Tools for building your MVP on AWS
Tools for building your MVP on AWSTools for building your MVP on AWS
Tools for building your MVP on AWSAmazon Web Services
 
How to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckHow to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckAmazon Web Services
 
Building a web application without servers
Building a web application without serversBuilding a web application without servers
Building a web application without serversAmazon Web Services
 
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
 
Introduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceIntroduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceAmazon Web Services
 

Plus de Amazon Web Services (20)

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
 
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
 
Esegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateEsegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS Fargate
 
Costruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSCostruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWS
 
Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot
 
Open banking as a service
Open banking as a serviceOpen banking as a service
Open banking as a service
 
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
 
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
 
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsMicrosoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
 
Computer Vision con AWS
Computer Vision con AWSComputer Vision con AWS
Computer Vision con AWS
 
Database Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareDatabase Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatare
 
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSCrea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
 
API moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAPI moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e web
 
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareDatabase Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
 
Tools for building your MVP on AWS
Tools for building your MVP on AWSTools for building your MVP on AWS
Tools for building your MVP on AWS
 
How to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckHow to Build a Winning Pitch Deck
How to Build a Winning Pitch Deck
 
Building a web application without servers
Building a web application without serversBuilding a web application without servers
Building a web application without servers
 
Fundraising Essentials
Fundraising EssentialsFundraising Essentials
Fundraising Essentials
 
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
 
Introduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceIntroduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container Service
 

It sounds like you had an insightful experience collaborating across domains. Bringing together different perspectives, like data science and the medical field, can lead to innovative solutions. An open and learning mindset seems key

  • 1. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS AI/ML 如何幫助醫療業 T r a c k 6 | S e s s i o n 4 Young Yang ML Specialist SA Amazon Web Services 丁偉能 (Wayne Ting) General Manager of Taiwan Region 商之器科技股份有限公司 (EBM Technologies)
  • 2. AI / ML Technologies reshaping healthcare 1 Voice ASR/NLU Vision CV/DL/RL/NLP 2 3 4 Prediction ML Sensation IoT Automation Bots/Robotics Perception AR/VR Mobility GPS/BTLE/5G Trust Blockchain 5 6 7 8
  • 3. Impact of COVID-19 pandemic on trials Site staff SitesPatients CRA’s Supply & Distribution Manufacturing Disruptors: Travel limitations Participant Fear Supply chain disruption Key challenges • Ensuring patient safety as top priority • Patient enrollment declined 60-90% in March • Only “essential trials” which address life threatening conditions should be continued • Impact on investigational product supply • Study integrity at risk; impacted by patient enrollment, patient retention, and missing data
  • 4. Drug Supply direct-to patient supply by certified distribution partners Self examination Patients can conduct certain activities at home. Impact of mobility in healthcare devices with intelligent models. Remote Monitoring Require seamless to integrate compliance data. Identify and alert anomalies. Mitigate security and connection issues. Decentralized trials Integrate virtual trial platforms. Some visits require patient to a local facility for major medical equipment.
  • 5.
  • 6.
  • 7. A Better, Simpler Pharmacy
  • 8. Optimized manufacturing, automation, and fulfillment centers Last mile delivery—direct to consumer Data-driven supply chain and ML driven by AWS Fulfillment logistics for degradable products like vaccines and biologics Currently doing fulfillment for Class I/II devices Continuing innovation and disruption— online vs traditional pharmacy
  • 9. Drug Supply Self examination Remote Monitoring Decentralized trials direct-to patient supply by certified distribution partners Patients can conduct certain activities at home. Impact of mobility in healthcare devices with intelligent models. Require seamless to integrate compliance data. Identify and alert anomalies. Mitigate security and connection issues. Integrate virtual trial platforms. Some visits require patient to a local facility for major medical equipment.
  • 10. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  • 11. Triage Protocol – Sample Example of the Screening Questions Age m <18 m 18-60 m Over 60 Have you been in contact with someone know to have coronavirus (COVID-19)? m Yes m No Have you been told by a public health official or your employer you may have been exposed to coronavirus (COVID-19) m Yes m No Are you experiencing any of the following symptoms? m New Cough m Fever > 100.4 m New shortness of breath m New sore throat m New muscle aches (myalgia) Have your recently been in a skilled nursing facility? m Yes m No Do you have any of the following medical conditions (comorbidities)? m Heart disease such as congestive heart failure? m Lung disease such as COPD or emphysema m Liver disease m Kidney disease Are you immunocompromised? m Yes m No Logic  New onset cough Yes  refer for evaluation through telehealth,  Referred by public health official or employer Yes  refer for evaluation through telehealth We help you convert your triage protocol into rules that are easy to deploy and update
  • 12. COVID-19 Response Bot Reference Architecture
  • 14.
  • 15. Drug Supply Self examination Remote Monitoring Decentralized trials direct-to patient supply by certified distribution partners Patients can conduct certain activities at home. Impact of mobility in healthcare devices with intelligent models. Require seamless to integrate compliance data. Identify and alert anomalies. Mitigate security and connection issues. Integrate virtual trial platforms. Some visits require patient to a local facility for major medical equipment.
  • 16. Healthcare IoT Abuse 2017 WannaCry 2018 Hacked cardiac devices 70K+ devices including computers, MRI scanners, blood- storage, refrigerators and theatre equipment Via Radio frequency (RF): heart failure or heart rhythm problems 2019 Insulin Pumps Wireless or USB change the pump’s settings to either over- deliver, or stop-delivery 2020 SweynTooth Bluetooth Low Energy (BLE) Crash or deadlock the devices. The device may freeze and stop working correctly source:FDA
  • 17. Security and compliance are job zero ” “Healthcare institutions don’t have the time and resources to devote to cybersecurity that an established cloud provider might have… Lee Kim, Director, Privacy & Security, HIMSS NA 50+ global compliance certifications (e.g., HITRUST, ISO 9001), accreditations and 120+HIPAA eligible services AWS industry-leading security teams work 24/7, 365 days a year Security enhancements from 1M+ customer experiences with tools like Amazon Macie, Amazon GuardDuty and IoT Defender Security infrastructure built to satisfy military, global banks and other high- sensitivity organizations 120+ HIPAA Eligible Services https://aws.amazon.com/compliance/services-in-scope/ until 2020.4.30 latest information ref:
  • 18. Drug Supply Self examination Remote Monitoring Decentralized trials direct-to patient supply by certified distribution partners Patients can conduct certain activities at home. Impact of mobility in healthcare devices with intelligent models. Require seamless to integrate compliance data. Identify and alert anomalies. Mitigate security and connection issues. Integrate virtual trial platforms. Some visits require patient to a local facility for major medical equipment.
  • 19. Butterfly Networks improves access to ultrasound exams Handheld whole-body ultrasound system coupled with a cloud-based, intelligent data and analytics platform designed to make medical imaging universally accessible and affordable
  • 20. © 2020, Amazon Web Services, Inc. or its Affiliates. https://aws.amazon.com/health/covid-19/ COVID-19 HPC Consortium AWS Diagnostic Development Initiative
  • 21. © 2020, Amazon Web Services, Inc. or its Affiliates. https://registry.opendata.aws/ s3://covid19-lake https://cord19.aws/
  • 22. © 2020, Amazon Web Services, Inc. or its Affiliates. QuickSight for COVID-19 Dashboard blog
  • 23. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS AI/ML 如何幫助醫療業 丁偉能 (Wayne Ting) General Manager of Taiwan Region 商之器科技股份有限公司 (EBM Technologies)
  • 24. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Our Company Established in 1988 Experts in PACS (Picture Archiving and Communication Systems) as well as Telemedicine/Telehealth solutions 150 employees are working in four locations: Taipei, Tokyo, Beijing and Honolulu Thousands of PACS licenses are installed in over 3,500 hospitals We support customers worldwide (Taiwan, Japan, China, Southeast and Central Asia, USA, EU)
  • 27. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  • 28. Workflow First-line ambulance personnel cannot correctly interpret ECG , so they require the support of physicians. With an accurate AI model, medical staffs can prepare earlier and transfer patients to hospitals with cardiac catheterization service resources before doctors’ instruction (physicians need to pay attention to check messages or Line at any time), which can avoid delaying treatment because of transfers . Despite of getting an ECG at night, Inpatients’ ECG result are generally diagnosed until the next morning or when doctors are sufficient. With the help of ECG waveform and acute myocardial infarction (AMI) detection, medical personnel can immediately receive notifications and pay attention to the patients when AI models find waves that probably caused by AMI, which turn myocardial infarction into a service that can be intervened at any time.
  • 29. The Pre-hospital 12 Lead ECG Rescue System
  • 30. EBM Pre-hospital 12 Lead ECG Machine Only one step: one click for all service Press Enter to automatically run through all processes, including sending ECG and showing Chinese reminders
  • 31. EBM Pre-hospital 12 Lead ECG Machine 1. ECG Three-mode Chinese prompts: auto-presented, built-in report Red:Acute MI Yellow:VF,VT Green:NONE, Normal 2. You will hear a warning sound when detected as acute myocardial infarction or critical cases 3. According to the site, for example, you can choose “the monitor ECG 30 minutes” function. ( When the ECG waveform is abnormal, the waveform will be rendered in red. )
  • 32. Patient-safety Reporting – ECG WARNING! Method-A: Receive ECG via E-mail, open attachment file directly to view ECG Metod-B: Receive ECG notice via SMS Click on the link to open MobiPACS to view ECG **ACUTE MI**
  • 33. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. 心肌梗塞篩查 + 即時通報機制 = 病患安全管理
  • 34. © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  • 35. Humanities Accomplishment My workshop actually started from the project ... AWS Data Scientist: The impression of the previous cooperation with them is different from my domain knowledge. We usually adjust how to offer the data from the ML perspective. Me: In the long-term development and research process, I gradually used the engineer's perspective to classify the data, because I believe that it will accelerate the development of the team. About Data Scientist with Domain Knowledge
  • 36. Easily Think Outside the Box of Data Try to think outside the box to find the best solution without limited by experience and familiarize with the theory of each mold, so that the data can be calculated and get a new interpretation. For example, this project believes that QRS is a feature in EKG traditionally, but it is just the base of eigenvector for Data Scientist. Me: Cool! You change my thinking. AWS Data Scientist: Yes, we were also surprised by the outcome. get the best solution without presumption
  • 37. Accelerated implementation In this workshop, we change the complicated, expensive, and repeat process of ML developing into an integration tool for the entire machine learning workflow. Through a single tool set, all the elements used for machine learning are provided to solve this problem. Therefore, lower costs are put into production and the process is faster. About Data Scientist with Domain Knowledge
  • 38. 38 ABOUT DATA SCIENTIST WITH DOMAIN KNOWLEDGE
  • 39. Thank you! © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.

Notes de l'éditeur

  1.  A clinical research associate (CRA), also called a clinical monitor or trial monitor, is a health-care professional who performs many activities related to medical research, particularly clinical trials.
  2. We know fulfillment- Amazon fulfillment has been optimized for direct to consumer and to limit friction in last-mile deliveries. These learnings can be critical for life science companies looking to improve fulfillment logistics for degradable products, such as vaccines or biologics Amazon currently offers fulfillment for some Class I and Class II devices and we are continuing to look to the future and thinking about how to innovate in life sciences fulfillment - as seen with our acquisition of PillPack online pharmacy in 2018
  3. On the left is an example of the triage questions you may have. We can work with your clinical team to identify the triage protocol. Once the rules are understood, we convert it into a .csv file and place them in the s3 bucket. As long are you aren’t making any structural changes to the logic, (not changing the Lambda function) you can just update the .csv file and the bot will start using them on the next interaction. The important takeaway is that this is easy to get started and maintain.
  4. We recognize some customers will want to build their digital front door themselves. Others may want help from our ProServices team. We also recognize you may want a turn key solution or engage with a partner you are already working with. This is a list of some of the partners that are addressing COVID-19. We are happy to connect you with any of there partners if they align to your needs. Mobiquity (www.mobiquity.com) has their AWS APN Digital Customer Experience Competency status so they know the AWS services such as Lex well. They can build things quickly and working on COVID-19 related solutions. Babylon Health (www.babylonhealth.com) Covid-19 triage response plan and hierarchy of UK/US With correct localisation can be applied to other countries. Servicbot (www.servicebot.com) has an easy to use orchestration system for getting FAQs up and running.   They helped built Boston Scientific’s chatbot Current Health (currenthealth.com) has FDA-cleared and CE-marked continuous wearable vital signs monitor available with integrated video visit functionality, available in the US and EU. Buoy (www.buoyhealth.com) helps people interpret their symptoms and suggests what level of care they should seek.
  5. Mobiquity has their AWS APN Digital Customer Experience Competency status so they know the AWS services such as Connect, Lex, Pinpoint well. They can build things quickly and working on COVID-19 related solutions. One interesting thing they are also doing is building avatars using Sumerian. This is just another potential aspect of the digital front door. Note: the Sumerian service is not HIPAA eligible at this time so you can’t pass PHI through it.
  6. https://www.fda.gov/medical-devices/medical-device-safety/safety-communications https://www.fda.gov/medical-devices/safety-communications/sweyntooth-cybersecurity-vulnerabilities-may-affect-certain-medical-devices-fda-safety-communication 2017. May National Health Service hospitals (NHS) in England and Scotland 70,000+ devices may have been affected: including computers MRI scanners, blood-storage refrigerators and theatre equipment radio frequency (RF
  7. Data security and HIPAA compliance are job zero for AWS. Customers can enhance their data security posture by using AWS and sophisticated tools like Amazon Macie and IoT Defender.
  8. About CORD-19 Search Query the COVID-19 Open Research Dataset (CORD-19), with natural language questions and answers from Amazon Kendra. CORD-19 Search includes data from CORD-19 which has been processed using Amazon Comprehend Medical. Data is updated regularly.
  9. 關於商之器 商之器公司成立於1988年,最早是從醫療影像儲存管理通訊系統(PACS),開始進入醫療市場 ,近幾年因為資訊科技的飛快進步,我們也將新應用,延伸到遠程醫療與相關的解決方案,目前在台灣、泰國都有許多實際應用在執行   目前我們有150位同仁,分別在四個服務據點工作,包含:台北,東京,北京和檀香山 截至2020年,我們在全球總共有3500家醫院,安裝了我們的PACS產品,由我們提供24小時不間斷的服務。 我們所提供支持的全球客戶,包含了:台灣,日本,中國,東南亞和中亞,美國,歐盟)
  10. 近幾年公司積極的在新科技投入,讓產品與服務能力,能夠日新月異,也讓我們取得多項的獎項,協助我們的客戶在市場上取得競爭力,創造雙贏的環境。包含了像是近期的國家新創獎、百大創新產品創新金質獎 2019年度 國家新創獎『EBM MobiPACS Share(個人行動醫療雲)』 2018年度 百大創新產品創新金質獎EBM Rad@(行動影像工作站)
  11. 在醫療影像發展的路程上,從1998年最初的無片化開始、醫院內專科的數位化、建構私有的雲平台、到智慧醫療的應用,都是EBM在醫療場域投入資源的展現。 我們知道,唯有持續的創新,才能幫助醫療資訊大步向前,這是EBM的責任也是我們應該努力的方向。 很榮信能夠與AWS,一起在這個快速飛躍的時期,一起攜手向前,在人工智能與雲服務部署的道路上一起努力。
  12. 臨床上的挑戰   在救護車: 一線救護人員無法正確解讀心電圖,因此需要醫生的支持。 透過準確的AI模型,醫護人員可以在醫生指導之前提前準備好患者,醫生再注意到檢查消息或Line的情況,再給予正確的指導。當患者送達醫院後,透過心臟導管手術,搶救生命,AI介入的程序,可以讓整個服務,更具有彈性與精準度,也讓治療更即時。   在醫院內: 儘管晚上有心電圖檢查,但通常要在第二天早晨或醫生人員充足時,才能提出患者的心電圖檢查報告。 借助ECG波形和急性心肌梗塞(AMI)檢測,當AI模型發現可能由AMI引起的異常,可以讓醫護人員立即介入,收到通知訊息並關注患者,從而將心肌梗塞風險管理,轉化為可以介入的服務,在醫院的任何時候,也減少第一線的臨床壓力,讓醫護人員有充足的休憩時間安排。
  13. 人文素養 (Humanities Accomplishment) 我的WorkShop其實是從專案就開始...。 AWS Data Scientist : 與他們過往合作的domain knowledge印像不同,主要會時常以ML的角度來調整提供數據情況。 我:在長期開發和研究過程中我也慢慢用工程師的角度將數據進行歸類,因為我始終相信他會加速團隊開發。
  14. 不預設立場得到最佳解 不受經驗囹圄,嘗試跳脫想法來實驗最佳解。熟知每個模具的理論,使 數據經由運算的到新的詮釋。例如,這專案傳統的認定QRS在EKG是特 徵,但在 Data Scientist眼中它只是獲得特徵向量的基石。 我:酷! 你改變我的思維了。 AWS Data Scientist : 對啊,這次結果我們也很意外。
  15. 加速實作(Accelerated implementation) 本次的WorkShop,改變 ML 開發過程中那複雜、昂貴、反覆的過程。需要一個讓整個機器學習工作流程的整合工具,透過單一工具集中 ,提供機器學習所用的全部元件來解決這一難題,更低的成本更快地投入生產。
  16. 結尾 本次的WorkShop中,雖然SageMaker透過單一工具集中,更快地 投入生產線。但對我們而言不一樣的思維碰撞才是ML開發的最核心的關鍵。就像在EBM常常討論議題一樣,不一樣的議題思維是科學成長的原動力。