Project Title

AI Policy Recommendation on Digital Transformation for Healthcare Ecosystem 

Project Year

2020   

Project Number

PPSTI 02 2020A 

Project Session

Session 1   

Project Type

Standard 

Project Status

Project in Implementation   
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Project No.

PPSTI 02 2020A 

Project Title

AI Policy Recommendation on Digital Transformation for Healthcare Ecosystem 

Project Status

Project in Implementation 

Publication (if any)

 

Fund Account

APEC Support Fund 

Sub-fund

ASF: Digital Innovation 

Project Year

2020 

Project Session

Session 1 

APEC Funding

61,546 

Co-funding Amount

83,141 

Total Project Value

144,687 

Sponsoring Forum

APEC Policy Partnership on Science, Technology and Innovation (PPSTI) 

Topics

Science and Technology 

Committee

SOM Steering Committee on Economic and Technical Cooperation (SCE) 

Other Fora Involved

 

Other Non-APEC Stakeholders Involved

 

Proposing Economy(ies)

Chinese Taipei 

Co-Sponsoring Economies

Chile; Indonesia; Korea; Malaysia; Peru; Philippines; Russia 

Expected Start Date

01/03/2021 

Expected Completion Date

31/12/2021 

Project Proponent Name 1

Chang Chuan-Yu 

Job Title 1

Dr / Chief Technology Officer 

Organization 1

Service Systems Technology Center (SSTC), Industrial Technology Research Institute 

Postal Address 1

Not Applicable 

Telephone 1

(886-3) 5916730 

Fax 1

Not Applicable 

Email 1

chuanyu@itri.org.tw 

Project Proponent Name 2

Not Applicable 

Job Title 2

Not Applicable 

Organization 2

Not Applicable 

Postal Address 2

Not Applicable 

Telephone 2

Not Applicable 

Fax 2

Not Applicable 

Email 2

Not Applicable 

Declaration

chuanyu@itri.org.tw 

Project Summary

Declining birth rate and aging population are two challenging global issues which heavily impact APEC member economies, among other economies. Therefore, it is critical for scientists and policymakers to drive digital transformation through AI technology and to research solutions to these demographic problems by prioritizing healthcare innovation. 

Considering the shortage of trained health care professionals and the disparity in medical care resources, the application of innovative technologies to the existing medical system is crucial to achieve improvement in quality and efficiency, especially with the system facing further strain due to the COVID-19 outbreak and the efforts to fight the spread of the virus. Artificial Intelligence (AI) is the key technology for digital transformation. Facilitating the development of a digital healthcare infrastructure and promoting interoperability is a critical challenge for the medical system. This project aims to encourage greater participation in capacity building and to promote interoperability via cross-fora collaborations by designing a new service model and offering policy recommendations. This will assist APEC economies to benefit from digital transformation and improve quality of life.

Relevance

Relevance – Region: 

Due to the shortage of trained health care professionals and the disparity in medical care resources, it is critical for scientists and policymakers to drive digital transformation through AI technology and to research solutions to demographic problems by prioritizing healthcare innovation.

This project aims to address different AI technologies which can allow to reduce the workload of medical professionals, and examine pertinent policies to be carried out in the digital healthcare ecosystem. Chinese Taipei will share a case study of digital transformation technology applied to the healthcare system and the current policies adopted to support its implementation – AI Box, a mini-device, installed with a well-trained* AI model, which allows analysis of signals from existing equipment, such as fundus cameras, via a connected cloud server and subsequent transmission to medical centers for prescriptions, so that information can be timely accessed by professionals in different time zones.

According to a survey by Chinese Taipei's Institutes of Health, there will be a shortage of more than 7,000 doctors in Chinese Taipei's top five specialties by 2022, which will result in many patients can not equally access to medical care. Also, in the past people need to see the ophthalmologist to exam their eyes’ health, especially for diabetics who need regular check up with their retinas. However, it is difficult for the elders, handicapped or people who live in remote areas to consistently have doctor’s appointment. Therefore, a sustainable service model for the implementation of advanced AI technology is needed to achieve quality of life improvements. By applying the ICT Innovation for Ophthalmoscope, patients are enabled to carry out an examination with the family doctors at the closer location, even at home with the care providers. The innovation assists non-ophthalmologists in evaluating the severity of disease by using an intelligent analysis gateway(embedded edge-computing device), the patient may then be referred to a specialist clinic based on the AI analysis of thena fundus images. Take diabetic ophthalmopathy as an example, in 2016, the population of Chinese Taipei is about 2,548,0000, 9.65% of which are diabetic, and there are only around 1,800 ophthalmologists in Chinese Taipei, which means each of them has to take care of 1,415 patients on average. Such an imbalanced Patient-to-nurse ratios in a continues ageing society does not allow patients to receive proper treatment for their disease. Now we have established a recommended referral system for patients with diabetic ophthalmopathy and the whole service flow will enhancing the overall fundus examination rate for the patients, avoiding patients ending up with eternal harms to the eyes due to delayed treatment timing. In the future, the regions with undeveloped medical care may also allow patients to avoid the occurrence of complications through this technology. Hence, in this project we will promote the application of AI technologies to the healthcare system, the implementation of policies aimed at supporting these technologies, and a service model for suburban areas. The exchange of ideas and feedback from stakeholders will foster collaboration and allow for continuous improvement through digital transformation applied to the healthcare system, by benefiting from digitalization and achieving quality growth.

Furthermore, following the disruption caused by the COVID-19 pandemic, governments have no choice but to review their medical system to overcome this crisis. So far, the clear evidence of an acceleration in the adoption of digital technologies is one of the key positive aspects concerning the response to COVID-19.(Digital technologies critical in facing COVID-19 pandemic, Website of United Nations, 2020) The healthcare of the future will look completely different from the current system, and will focus on predictive, preventative, personalized, participatory and contactless but connected care, to safeguard our lives and our livelihoods. This project provides governments, health organizations and medical institutions with an opportunity to rethink the benefits of implanting AI solutions into existing healthcare equipment, allowing them to boost performance, provide improved care services, and assist medical professionals remotely and more safely. Meanwhile, patients who are sheltered in place will be able to access medical services and avoid going to hospital, where they would be exposed to risks of infection, or delaying essential routine treatments. This service model applied to the healthcare system has been improving both health outcomes and the efficiency and cost–effectiveness of services.

Note: Well trained AI model refer to the model based on the advantages of in-depth learning towards image detection and analysis, conducting training via providing a massive amount of data, has achieved the stability of accuracy.

Relevance – Eligibility and Fund Priorities: This project improves the current healthcare development of holistic government policy framework for  Digital Economy by providing a case study of a healthcare AI ecosystem implemented  by policymakers, research units, medical centers, and regional service centers in Chinese Taipei. Through this experience sharing and capacity building program, we aim to enhance the development of a digital infrastructure by explaining what can be done to promote innovation and the adoption of enabling technologies and services which can improve suburban health care systems. By applying AI technology, a decentralized service model could also be duplicated in to help with early prevention of other chronic diseases anywhere, anytime, and anyplace, enhancing the inclusiveness of digital economies in the APEC region.

Relevance – Capacity Building: Capacity building will be carried out through a brainstorming workshop for professionals. In order to share skills in AI technologies, this project also encourages professionals to approach mechanism design and policy recommendation in the light of others’ experiences.

Our expectations for this project’s capacity building consist in encouraging and facilitating greater participation by APEC economies in regards to the application of digital technologies in the healthcare system, and in the discussion of current policies carried out by each member economy in support of the implementation of digital healthcare technologies. By doing so, we expect to promote interoperability via cross-collaborations, design a new service model, and offer policy recommendations to assist APEC economies in benefiting from digital transformation and achieving an improved quality of life.

Objectives

The project aims to benefit APEC economics through digitalization, innovation, and commercialization connectivity to achieve healthcare quality growth through the sustainable innovation of AI technologies turn-key solutions and by encouraging a greater participation among policy makers, researchers, and private sectors for the development of digital transmission through capacity building programs.

Alignment

Alignment - APEC:  This project supports goals in key areas defined in APEC 2020 PPSTI, and expects to meet APEC’s goals and objectives for capacity building and policy recommendation. Ideas and feedback exchange will allow APEC economies to benefit from digitalization, Research & Commercialization, and connectivity to achieve quality growth. A decentralized new service model integrating “Frontline technician + remote health care expert” can be also applied to other chronic diseases, for early prevention and to achieve better services and accessible healthcare, as well as to promote the creativity of the eco-system and a business model for STI sustainability.

This project is also aligned with MALAYSIA APEC 2020 priorities, namely ”Digital Innovation”, which adds value to healthcare systems and meets the needs of all APEC economies, particularly low- and middle-income economies. By encouraging the sharing of new healthcare services models, expanding mobile medical care in remote areas, and improving the availability of Primary Health Care, this project can assist APEC economics in benefiting from digitalization, research, and commercialization connectivity, with the goal of achieving quality growth.

Alignment – Forum: This project aligns with PPSTI priorities 2020 in three aspects: 1) Advancing STI for Sustainability: promoting sustainable innovation to support the digital transformation of healthcare systems through industry 4.0, digital technology, and smart manufacturing; 2) Research Connectivity for Commercialization: harness big data through open science initiatives to promote commercialization and to provide solutions for the shortage of medical professionals faced by APEC economies; and 3) Inclusivity in Science: promote social cohesion in science; address STI advancement gaps in the APEC region by enhancing technological capacity in Micro, Small & Medium Enterprises (MSMEs).

Through the webinar, the case study of AI Box, its application in the healthcare system, and its service model in suburban areas as well as in urban communities, will be used as an opportunity to exchange knowledge, expertise and experiences for APEC economies, and especially to collect participants’ feedback during cross-fora. In addition, examples of how Chinese Taipei stopped the epidemic from overwhelming the medical system at the very beginning of the COVID-19 pandemic will be shared with the forum participants, including a demonstration of Non-Contact Anti-Epidemic IoT Technologies and services. The project will provide policy recommendations for APEC members’ governments, to help them to rapidly introduce AI applications to medical and healthcare systems in their home economies.

TILF/ASF Justification

Not Applicable.

Beneficiaries and Outputs

Outputs:

(1)   A Case Study

A case study on field trial will mainly focus on establishing a recommended referral system for patients with diabetic retinopathy in rural areas , where hungry for telemedicine due to lack of medical resources. This study aims to assist non-ophthalmologists in evaluating the severity of diabetic retinopathy by using an intelligent analysis gateway (embedded edge-computing device) to conduct mobile eye examinations in suburban areas. When the auxiliary diagnostic system has abnormal readings, it will arrange and assist patients to be referred for early diagnosis and early treatment.

This case study will collect and analyse the fundus imaging data of diabetic patients by using an intelligent analysis gateway. The imaging date will be marked include: (1) gender, (2) age, (3) relative statistical analysis of data processing and comparison of the severity of diabetic retinopathy. Based on the interpretation results of physicians and AI through the fields of the admission data table, discuss the interpretation accuracy and consistency (Kappa Score) of the model in field verification, and further calculate its sensitivity and specificity ( Specificity) and other parameters.

Through this case study, we are expecting to propose a referral system model for diabetic retinopathy as a example of how the application of innovative technologies to the existing medical system crucial is to achieve improvement in quality and efficiency. Especially, considering the shortage of trained health care professionals and the disparity in medical care resources in some regions, the Application of the AI technology and integrated “Frontline technician + remote health care expert” model, allowing this decentralized service model to be replicated and used for other chronic diseases, for early prevention and to achieve better services and healthcare anywhere, for the creativity of the eco-system and as a business model for STI sustainability.

The Case Study Report is a standalone document and will be of approximately 5 to 10 pages long.

(2)   A Webinar

Purpose: In order to ensure that representatives of APEC economies, in particular developing economies, are able to fully exchange ideas, experiences concerning their home economies, and give feedback, we will host a workshop with the purpose of demonstrate how to implement AI in healthcare and discuss the current status of digital transformation in the APEC region. Subjects are included but not limited to: AI model for healthcare early stage screening, application to establish a support system to improve healthcare quality and efficiency ---Taking AI Box as an Example and Lessons learned in the field trial. To avoid possible risks due to COVID-19, this workshop will be presented as a Webinar.

Topic:

a) Developing trend in AI” focused on “Reliability”, “Scope”, “Benefit”, “Uncertainty”, “Global benchmarking”, “AI showcase”

b) An Introductory Understanding of the Value of Digital Transformation for Healthcare, take Chinese Taipei as an example

c)  The current status of digital transformation for healthcare in APEC regions

d) Fundus Screening Application to establish support system to improve the quality and efficiency in healthcare

e) Effectiveness Evaluation of AI Box’s introduction into existing retinal medical care service models, and extent to other diseases.

Contents: Keynote speech, Panelist talks followed by Q&As and discussion

Target Audience: Representatives of APEC economies, representatives of the Health Working Group (HWG), representatives of the Telecommunications and Information Working Group (TEL)

Expected Scope and scale: we will invite health and medical professionals from APEC economies and local industrial representatives.

Timeline: June to August 2021

Duration: Two days (2 to 3 hours for each day)

(3) AI Policy Recommendation on Digital Transformation for the Healthcare Ecosystem

Policy recommendations for each APEC member will be delivered by Nov 2021. The scope of the report will focus on comprehensively discussing policymaking restrictions and breakthrough under different circumstances, and pre-access the feasibility of the digital transformation for healthcare in APEC areas, especially developing economies, then come up a policy recommendation for the APEC economies as they introduce innovative technologies to the existing medical system. Additionally, the policy recommendations will provide APEC member governments with some examples, showing how Chinese Taipei stopped the epidemic from overwhelming the medical system in the initial stages of the COVID-19 pandemic, to help them implement Anti-Epidemic Technologies and Services with efficient and safer medical procedures in their home economies. The AI Policy Recommendation document is a standalone document and will be of approximately 3 to 5 pages long.

Outcomes: By conducting a Webinar to exchange ideas and receive feedback from the stakeholders and by illustrating real examples of digital transformation and its service model applied in the healthcare system of suburban and urban communities in CT, we will offer a new service model and AI Policy Recommendations on Digital Transformation for the Healthcare Ecosystem. The expected outcomes will be:

a) Application of the AI technology and integrated “Frontline technician + remote health care expert” model, allowing this decentralized service model to be replicated and used for other chronic diseases, for early prevention and to achieve better services and healthcare anywhere, for the creativity of the eco-system and as a business model for STI sustainability. Also, the project will build APEC member economies’ capacity in areas relevant to the digital transformation of the AI Box, from smart manufacturing to healthcare, especially for developing economies.

b) A greater participation and collaboration among policymakers, researchers, and the private sector for the development of digital transmission through a capacity building program and policy recommendations, which will attract international attention to Digital Transformation for the Healthcare Ecosystem.

Beneficiaries:

a)  Participants in Webinar: including of Direct Beneficiaries such as APEC PPSTI, Health and Welfare departments of APEC economies. Promoting sustainable innovation to support the digital transformation in healthcare through turn-key solutions in AI technology and Benefiting from digitalization through exchange of ideas and feedback and achieving quality growth via continuous improvement of the digital transformation of the healthcare system.

Research Institutions, Universities:  Building capacity in areas concerning the digital transformation of the AI Box, from smart manufacturing to healthcare.

Hospitals and Healthcare Centers (Long-term Care Center): Enabling existing healthcare equipment to be integrated with AI solutions to boost performance and add   value to care services.

Medical devices industries: Integrating AI and IoT technology and services to add product value.

Dissemination

The output of the project, including the PowerPoint presentation slides, AI policy recommendation and the case study report will be distributed via the websites of relevant groups (such as PPSTI, HWG and TEL) and will be accessible to all participants and any other stakeholders interested in this project in electronic format.  Another outcome of the project will also be obtaining media coverage(such as digital media or social media like FaceBook) in order to get access to impactful methods of communication designed to influence a predetermined target group.

The Case Study Report and the AI Policy Recommendation are not to be combined into a project report.

The target audience is comprised of governments and affiliated organizations, medical institutions, medical device providers and participants of the Webinar.

To obtain media coverage (such as digital media or social media like FaceBook) in order to get access to impactful methods of communication designed to influence a predetermined target group, [the Project Overseer] will send the news release to the media connected with APEC such as APEC 2021 New Zealand,  PPSTI activity board, and relevant groups (ex. HWG and TEL and so on) and share the media coverage on their platforms.

Gender

The project will aim to have a gender-balanced profile of representative members for the purpose of gender equality. We commit to collect sex-disaggregated data for all project participants as required in APEC projects. Participants of both genders will have the same opportunities to share their own comments and feedback. We will also try to include the topic of women’s inclusion in the application of innovative technologies during the Webinar. Female participants from developing APEC economies and the target ratio of female participants will be fully considered in order to achieve a satisfactory level of gender equality. As a vulnerable group, women from developing economies can significantly benefit from the project, since it could contribute to the reduction of economic disparities within their home economies, as well as to improved economic and social well-being.

The project promotes women’s economic empowerment through the following three pillars:

a)     Skills, capacity building, and health:  since the project will build a new service model to assist APEC economics in benefiting from digital transformation and improving healthcare quality, women, who are the majority of frontline staff in the healthcare and medical system, will be physically capable of achieving a range of economic pursuits while being technically trained for success in the workforce.

b)     Leadership, voice, and agency: Participants of both genders will have the same opportunities to share their own comments and feedback during the Webinar, for which women are valued as contributors, professionals, and leaders in the project. Female participants from developing APEC economies and the target ratio of female participants will be fully considered in order to achieve a satisfactory level of gender equality.

Innovation and technology: In this project women have the same opportunities as men to benefit from and to participate in the development and implementation of digital transformation in Healthcare. 

Work Plan

Time

Tasks

Deliverables

Mar – Apr 2021

Contract with APEC Secretariat with APEC Secretariat

Drafting Terms of References for contractors (for case study and event logistic

Send the General Information Circular with a confirmed agenda

Design an survey regarding Digital Transformation for Healthcare for the participants before the webinar

A contract

Two Terms of Reference (ToRs)

General Information Circular

An questionnaire

Registration and use of the Event Attendance List template to collect participant and expert data

May – Jun 2021

Invite representatives of the Health Working Group (HWG) and the Telecommunications and Information Working Group (TEL) to attend events.

Confirm attendants and send the questionnaires to them and collect

Design the registration and promoting materials

Formal announcement of Webinars, and initial invitations to all APEC members to participate in the Webinars

A final list of honourable chairs, international speakers and moderators of the forum

A final list of representatives of APEC economies

Promotional material for the events.

Invitation letters to honourable, keynote speakers, etc.

A draft list of representatives of APEC economies

Jul – Aug 2021

Completion of detailed schedule and arrangements for the Webinar

Contact media for the press release

Webinar test run

Compile all the outputs of the Webinar and post on social media for public

Draft AI policy recommendation

A Digital Healthcare Webinar for APEC economies.

Slides and webinar news release posted on social media (FB, YouTube)

1 Oct 2021

Submit the APEC Project Monitoring Report to APEC Secretariat

APEC Project Monitoring Report

1 Nov 2021

Submit the Case Study report and AI Policy Recommendation document to the Secretariat for review and approval

A Case Study report

AI Policy Recommendation document

Feb 2022

Submit the APEC Project Completion Report and supporting documents to APEC Secretariat

APEC Project Completion Report

Jun 2022

Participation in the Long-Term Evaluation of APEC Projects conducted by APEC Secretariat

Risks

There are multiple challenges in hosting an online Workshop, like including attendants’ acceptance of and engagement level in remote communications as well as the technological issues, including but not limited to internet connection, the quality of the attendants’ devices and their locations, and the difference in broadband infrastructure in the different APEC economies. During the preparation and operative stages, we will work towards decreasing the impact of these challenges by providing attendants with detailed instructions. Also, we will have a team of IT experts tasked with solving technical issues before and during the webinar.

The differences in infrastructures, medical system, economy, and society in different APEC economies may lead to difficulties in the implementation of AI. However, the cross-fora will be designed to collect different cases and experiences from the APEC economies in an effort to minimize this gap.

Monitoring and Evaluation

A monitoring report on the progress of the event planning and outputs will be submitted in April 2021 according to the work plan, to ensure that the project is being implemented according to schedule. Surveys will be delivered in e-format and attendance lists will be compiled using the APEC Attendance List.

Outputs / Outcomes

Evaluation Focus

Indicators

Target Goals

Evaluation Method

Reporting

Outputs

1.   A case study

1.   No. of medical image analysed

400

Certification by PO

Completion Report

2. No. of pages

5-10

Included in the Project Report

Completion Report

2.   Webinar

3. No. of experts engaged

5

Event Attendance List

Completion Report

4. No. of attending economies

10

Event Attendance List

Completion Report

5. survey response rate

50%

Certification by PO

Completion Report

6. % of participating men/women

50/50

Event Attendance List

Completion Report

7. Content developed and deployed

Aug 2021

Certification by PO

Completion Report

3.   AI Policy Recommendation

8. No. of pages

3-5

Included in the Project Report

Email to the Secretariat

9. Submission to the Secretariat

1 Nov 2021

Included in the Project Report

Email to the Secretariat

4.   Project Report

10.              No. of pages

8-15

Certification by PO

Email to the Secretariat

11.              Submission to the Secretariat

1 Nov 2021

Submission to the Secretariat

Email to the Secretariat

Outcomes

1.    A decentralized service model can also be replicated for other chronic diseases, for early prevention and to achieve better services and healthcare anywhere, for the creativity of the eco-system and as a business model for STI sustainability

1. Two and more events to disseminate the service model.

2021 to 2022

Certification by PO

Report to Working Group

2.      A greater participation and collaboration among policymakers, researchers, and the private sector for the development of digital transmission

2. % of participants report substantial knowledge increase

75%

Survey

Completion Report

3. developing APEC economies report substantial knowledge increase

50%

Survey

Completion Report


Linkages

We will connect the Health Working Group (HWG) for health policy overview and the Telecommunications and Information Working Group (TEL) for technology solutions regarding the development of artificial intelligence. Through cross-fora collaborations, the project will get more practical feedback and comments, resulting in more insightful policy recommendations.

In the past three to five years, artificial intelligence (AI) has been applied to the field of e-health, as it is often shown by applications such as cloud deployment and cloud services. However, for practical applications, significant restrictions might emerge, including whether the field infrastructure is appropriately equipped, or whether network bandwidth is sufficient. For example, when Google presented its diabetic retinopathy technology in Thailand earlier this year, it only took a few seconds to upload data during the experiment, but it took more than a minute for the same procedure in actual clinics. Each clinic’s photography environment and image quality was different, and only two clinics met the standards required for AI interpretation.

The project aims to share its own clinical application experience to propose solutions to ensure the production of images with sufficient quality for AI interpretation and to reduce the practical barriers for the implementation of the technologies, including deploying models from the original large-scale servers to small embedded systems through AI Box, allowing access of AI analysis resources by both external and regional networks, adopting the design and planning of the overall service scenario mode with designing details of full-automatic ophthalmoscope design technology and simple home-made darkrooms, etc. 

·   APEC’s comparative advantage: Why is APEC the best sources of funds for this project?

This project improves the current healthcare development of holistic government policy frameworks for the Digital Economy by healthcare AI ecosystem case studies carried out by policymakers, research units, medical centers, and regional service center in Chinese Taipei. Through the sharing of experiences and a capacity building program, we aim to enhance the development of a digital infrastructure by explaining what can be done to promote the innovation and the adoption of enabling technologies and services which can facilitate suburban healthcare systems. By applying AI technology, this decentralized service model can also be replicated in other chronic diseases for early prevention anywhere and anytime. This enhances the inclusiveness of digital economy in the APEC region.

Sustainability

Annual Update Report and Webinar: The case studies report, policy recommendation document and the latest developments in fields such as AI innovative technologies for Healthcare, service model, and policy recommendation will be updated annually and distributed electronically to APEC economies for reference. If necessary and possible, another seminar will be hosted after APEC economies implement the AI technology and platforms to request feedback and experience and hold a discussion on service model implementation, in order to promote digital transformation in these economies.     

Field trials dissemination: Continuously promoting and collaborating with industry players to ensure compliance with industrial practical requirements. For instances, we will keep working closely with hospitals, long-term care centers and medical institutions to promote this service model and will carry out field trails to ensure that existing healthcare equipment can be integrated with AI solutions, to boost performance and add value to care services. We will share our own clinical application experience to propose solutions to ensure the production of images of sufficient quality for AI interpretation, to reduce the practical barriers for the implementation of the technologies, and to continuously assist developing economies on AI application with our expertise.

International cooperation: Seeking potential opportunities within this Project, expanding and spreading technological achievement through international cooperation projects. We will evaluate the subsequent influence and the effectiveness of the introduction using quantitative data, such as the number of international cooperation projects and measures of improvement in the relevant ophthalmoscopy rate. Due to its sustainability, this project will continue to have great impact on APEC economies even after the AEC funding phase is completed. The medical institutions of APEC developing economies would benefit tremendously from adopting this solution and service model. 

Project Overseers

The project overseer is Dr. Chuan-Yu Chang, CTO at Service Systems Technology Center (SSTC), Industrial Technology Research Institute (ITRI), Chinese Taipei (CT), and director of Intelligent Recognition Industry Service Research Center (IRIS) at YunTech. Dr. Chang has dedicated his career to the field of Medical Image Processing, Face Detection and Recognition as well as Automated Optical Inspection, where has made great contributions to the intellectualization of the manufacturing industry. He is a pioneer in domestic smart identification technology. In the past few years, his team has assisted many manufacturing companies in the region for the introduction of AOI detection technology, which can be widely used in pharmaceutical manufacturing with an accuracy of 95% or higher. The project Coordinator is Ms. Shu-Yen Huang, who works at the Service Systems Technology Center (SSTC), Industrial Technology Research Institute (ITRI), Chinese Taipei (CT), and who is currently responsible for International cooperation and communication activities.

Cost Efficiency

Not Applicable.

Drawdown Timetable

Not Applicable.

Direct Labour

Research Consultant:
1) Working with speakers and project team in drafting, revising and finalising the project report (25 hours)
2) Conducting desk research to gain better understanding and knowledge about the issues to develop the questionnaire and topic (20 hours)
3) Working with speakers and project team in drafting, revising and finalizing agenda of workshop including elaboration of each agenda session and make sure speaker’s materials are in line with the topic (30 hours)
4) Collecting, analysing and synthesising primary and secondary data during and at the end of the project, including but not limited to number of participants, including  female participation, ex-ante and ex-post surveys (25 hours)

Event Logistics Provider:
1) Search for the event venue and negotiate prices for each assigned event (96 hours)
2) Follow-up with venue representatives about details and needs of each event, provides all on-site requirements and coordinates all pre-event requests (48 hours)
3) Inviting speakers and discussing term and expected output from speakers (48 hours)
4) Collect the speakers' CV and presentation files (24 hours)
5) working with project team in drafting, revising and finalising the event related documents, including promotion materials, news release (200 hours)
6) Inviting media and prepare QA for interview (48 hours)
7) Set up the place (6 hours)
8) Media hosting (making invitation, reception, interview arrangement, news monitoring and write a report of media exposure) (48 hours)
9) Distribute and collect ex-ante and ex-post evaluation (48 hours)
10) Taking notes during the workshop (6 hours)
11) Managing and overseeing events on the day of the Hybrid Webinar, including problem-solving, welcoming guests, directing event set-up, communicating with staff, and organising vendors and organising vendors (10 hours)

Case Study on Field Trials

The case Study will be undertaken from Dr. Kao Yang Wei, who is a family physician in the mountain area of Chinese Taipei. His Father was the first indigenous doctor in Fuxing Township, a small district in Taoyuan’s mountain area. Followed by his father’s will, Dr. Kao dedicates his whole life to his indigenous community and help the indigenous people to receive the medical care by regular medical shuttle bus. 

The case study on field trial will mainly focus on establishing a recommended referral system for patients with diabetic retinopathy in rural areas. This study aims to assist non-ophthalmologists in evaluating the severity of diabetic retinopathy by using an intelligent analysis gateway (embedded edge-computing device) to conduct mobile eye examinations in suburban areas. When the auxiliary diagnostic system has abnormal readings, it will arrange and assist patients to be referred for early diagnosis and early treatment.

Waivers

Not Applicable.

Are there any supporting document attached?

No 
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Project No.

Project Title

Project Status

Publication (if any)

Fund Account

Sub-fund

Project Year

Project Session

APEC Funding

Co-funding Amount

Total Project Value

Sponsoring Forum

Topics

Committee

Other Fora Involved

Other Non-APEC Stakeholders Involved

Proposing Economy(ies)

Co-Sponsoring Economies

Expected Start Date

Expected Completion Date

Project Proponent Name 1

Job Title 1

Organization 1

Postal Address 1

Telephone 1

Fax 1

Email 1

Project Proponent Name 2

Job Title 2

Organization 2

Postal Address 2

Telephone 2

Fax 2

Email 2

Declaration

Project Summary

Relevance

Objectives

Alignment

TILF/ASF Justification

Beneficiaries and Outputs

Dissemination

Gender

Work Plan

Risks

Monitoring and Evaluation

Linkages

Sustainability

Project Overseers

Cost Efficiency

Drawdown Timetable

Direct Labour

Waivers

Are there any supporting document attached?

hdFldAdmin

Project Number

Previous Fora

Secretariat Comments

Reprogramming Notes

Consolidated QAF

Endorsement By Fora

PD Sign Off

Batch

Forum Priority

Committee Ranking Category

Committee Priority

PDM Priority

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Monitoring Report Received

Completion Report Received

PMU Field 1

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PMU Field 3

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