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Founder and CEO of JuboAdjunct processor National Taiwan UniversityMail jessykangjubohealth Web wwwjubohealthcomAI to reduce the effortsin long term care20210611Fri International HealthTech Forum ID: 878834

jubo care customer data care jubo data customer smart nursing long caregivers term vital team solution time facilities ltc

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1 Dr. Jessy Kang Founder and CEO of Jubo A
Dr. Jessy Kang Founder and CEO of Jubo Adjunct processor, National Taiwan University Mail: jessykang@jubo.health Web: www.jubo - health.com AI to reduce the efforts in long term care 2021 - 06 - 11 (Fri.) International HealthTech Forum 2021 What is Jubo and Why? How an engineering professor enter the long term care (LTC) industry? Trust Data Intell

2 igence User experience The journey to in
igence User experience The journey to initiate Jubo Smart Ageing Alliance (Jubo) 2018 - With the lead investor of National Development Fund, Dr. Kang established a tech startup focusing on long term care. Smart Ageing Alliance 2009 - 2018 Multi - disciplinary research and education focusing on technologies which benefit an aging society. Professor, N

3 ational Taiwan Univ 2006 - 2018 Rearch i
ational Taiwan Univ 2006 - 2018 Rearch in AI, robotics, digital tranformation in construction industry Ph . D . Stanford University 2006 Focusing on robotics solution in construction industry. Common challenges in long term car e Short of People The tough working environment and high workload make the long term care facility hard to find and keep goo

4 d caregivers, nurses and professionals.
d caregivers, nurses and professionals. Limited Resources Care facilities usually require for a long investment return period. Keep the operation profitable is often a challenge. Endless Tasks LTD is inherited working in 24 hours and 7 days. The non - stop working require careful planning and execution to maintain high quality of care. Trust Data

5 Intelligence User experience Jubo create
Intelligence User experience Jubo creates a better care environment Our Mission To be the world ’ s leading provider of technology in care. Using our expertise in user experience and data intelligence , we seek to empower elders, care professionals and families to pursue the best care quality and trustworthy care environments. We connect care. F

6 amily Care Giver Elderly Jubo Team Initi
amily Care Giver Elderly Jubo Team Initiated by a research group of Stanford, MIT, and National Taiwan University graduates, Jubo has diverse expertise in engineering , user experience , data science , nursing , social work , and privacy & security . Founded in Taiwan and operational in Asia, Jubo is now serving the seniors care market in Ca

7 nada and the United States. 2020 Jubo so
nada and the United States. 2020 Jubo solution for adult day care launched 2019 Jubo solution for long term care launched 2018 Smart Ageing Tech spun off for incorporation 2009 Smart Ageing Alliance established at National Taiwan University Dr. Jessy Kang, Founder & CEO Kai - Yuan Gu, CTO Derek Tseng Dir of UX Design Dr. Pei - Hung Liao, Advisor, Nursin

8 g I - Ling Chen Dir of Brand Strategy Dr
g I - Ling Chen Dir of Brand Strategy Dr. Chia - Ching Chou Advisor, Data Science Liz Li Dir of Data Science Bruce Alton Advisor, Business Meng - Feng Lai Operations Director Ryan Chou Dir of Sales & Marketing Health 25% Subhealth 63% Long - term care 12% Facility care 3% Home care 9% Jubo focuses on the digital services in long term care (LTC) to or

9 chestrate a variety of professionals an
chestrate a variety of professionals and families to those who cannot care for themselves for long periods. USD $443B CAGR 6.8% Growing needs in LTC US market size in 2019 Target Market 1:4 1:3 2020 2040 1:2 2060 USA East Asia 1:2 1:1 1:4 eldery dependency ratio is the ratio of #above 65 years old and # between 15 to 64 years old The increa

10 sing of elderly dependency ratio indicat
sing of elderly dependency ratio indicates an insufficient number of caregivers in the future. Problem: Shortage of caregivers will be the new norm The Jubo Solution What Jubo provides? What are the differences? Direct Care 40% Nursing Record 30% Communication 20% Admin 10% *current tools in care facilities 60% of a caregiver ’ s time is spent on

11 “ indirect care ” , including 30% i
“ indirect care ” , including 30% in nursing records, 20% in communication and 10% in administration. Most care facilities still rely on manual processes to collect and share information . Computers are only a repository of data. Develop a digital infrastructure for LTC SmartNIS Smart Trolley DEVICE CONNECTIVITY Save 20% on paperwork tasks

12 MANAGEMENT INTELLIGENCE 10% increase in
MANAGEMENT INTELLIGENCE 10% increase in employee retention. Save 50% on between - shift meetings 1 Care Management Chatbot Family Chatbot CARE COLLABORATION & FAMILY ENGAGEMENT 25% increase in communication efficiency 2 Resident Status Analysis Caregiver Workload Analysis Jubo Solution For Facility Care Jubo Technologies Jubo ’ s solution streams

13 information from the bedside, nursing
information from the bedside, nursing records and communication between nurses, caregivers and families. It significantly increases operational efficiency, care quality, decision quality and employee satisfaction. 3 Jubo AI Server 智齡專注下世代的照護科技 J ubo in LTC facilities LTC Facility Family Care Management Smart Trolley IoT Dev

14 ice Thermometer Blood Pressure Meter Blo
ice Thermometer Blood Pressure Meter Blood Oximeter Blood - glucose mete SmartNIS Administrator 1 2 3 4 Chatbot Chatbot Daycare Management System Jubo solution in adult daycare A network synchronizes info between home & daycare center IoT Trolley Daycare Family Chatbot Jubo AI Cloud Reliable cloud platform with encrypted transmission to link ADC and

15 families Now serve 50+ daycare center 5
families Now serve 50+ daycare center 5X family engagement Telecare Management system Jubo Telecare Solutions Family chatbot Jubo AI Cloud Reliable cloud platform with encrypted transmission to link ADC and families IoT homecare toolkit Vital Signs Anomaly Detection Bedside care notes Sleep Monitor Fall Detection Activities Patterns Temp/lighting Ad

16 justment Vital Checking Automated enviro
justment Vital Checking Automated environmental monitoring and healthcare automation enhance the quality of home care solutions Smart healthcare monitoring Telecare Delivery Program Customer Feedbacks How Jubo bring benefit to the customers? 13 % Data collection period : 2019/03 - 2020/10 4.9 M Market penetration Total nursing records data Within t

17 wo years, Jubo solution has been deploy
wo years, Jubo solution has been deployed in 150 facilities and serves 10K+ users. Jubo has validated the solution in Taiwan 141 LTC Facilities 7 Hospital Nursing Home Facility customers in the past two years 18 RD center Service Center Service Center (South) Facility Customer (Using Days) 51 Daycare Center increase the interaction between caregivers

18 and seniors makes the caregivers proud
and seniors makes the caregivers proud reduce the efforts on writing reports Before Jubo Step 1: Take pictures Step 2: Grab the memory card Step 3: Upload to the system Step 4: Complete a wound report With Jubo Step 1: Take pictures AI recognition and confirm Step 2: Compete a wound report Customer feedbacks Less Paperwork : tap input, no more handw

19 riting Our solution automates the proced
riting Our solution automates the procedure of vital sign measurement and nursing records. A significant reduction in the effort required for paperwork. Caregivers now spend more time engaged in direct care, which directly benefits the patients. Smart Trolley Reduces 25% Efforts On Paperwork Smart Trolley Thermometer Blood Pressure Meter Blood Oxime

20 ter Care Management Chatbot Jubo boosts
ter Care Management Chatbot Jubo boosts 25% efficiency for real - time communication Family Chatbot Customer feedbacks Communication Loop: Professionals and Families Jubo ’ s design team carefully studies the existing workflow of the clients, and develops new and efficient way to deliver a better care experience for the seniors. The digital soluti

21 ons synchronize information so that com
ons synchronize information so that communication among caregivers, residents, and residents ’ families is transparent in real - time, including between - shift and resident ’ s meals. Jubo helps increase 15% employee retentio n rate Customer feedbacks Data - Driven Decision Making Support Resident Status Analysis Caregiver Workload Analysis Jub

22 o ’ s data team works with our partner
o ’ s data team works with our partners to solve their most pressing problems by employing classification techniques and regression and similarity matching algorithms to identify risks and opportunities for improvement, helping healthcare operators transform their businesses. Time saving 20% vital - sign measurement/record 26% turnover rate 25%

23 nursing report 50% reduction in meeti
nursing report 50% reduction in meeting times between shifts 1,068 real - time alerts sent in the past 12 months Time Saved Staff Satisfaction Care Risks Mitigated Positive customer feedback Jubo ’ s secret sauce Data scientists + Customer Sucessful Team Customer Success Team Liz Li Director of Customer Success - Customer success strategy and pl

24 an - PM of NIS products - Data visualiza
an - PM of NIS products - Data visualization development Leo Chen AI Software Engineer - Image AI development Peter Liu AI Data Scientist - ML/DL AI research - AI product management May Kao Customer Success Manager - Training courses - Customer care - Nurse/ care consult Bella Kang Customer Service - Online Services - Training supports Harvey Wu AI Soft

25 ware Engineer - ML AI development Chia -
ware Engineer - ML AI development Chia - Ching Chou AI Consultant - Professor of Institution of Applied Mechanics, NTU - ML/DL AI consult Shen Chiang Data Scientist - Data Analysis and mining - Data Visualization Customer success team Using data to achieve customer success 2021/05/01 updated 108 Facilities 3,169 Staffs 27,836 Images 10,196 Residents 3

26 ,118,458 Vital Sign 5,618,468 Daily reco
,118,458 Vital Sign 5,618,468 Daily records 112,362 Regular assessment 98,099 Professional Records 98,219 Quality Index 65,509 Log - in times/last month 7,305,692 Logs times/last month C loud � B igdata 標準 CBA :打造高品質照護人工智慧 30 B �igdata A I 資料品質比人工智慧更重要 31 Enhance customers with data s

27 cience Using data to enhance the operati
cience Using data to enhance the operation Data Data analized Data visualization of every module records, color stands for the number of data and lines stand for institutions. Compare to other modules, “ IO record ” includes many records but less institutions(lines). Actions To improve the IO record module through UI/UX process, found out

28 the content is insufficient for current
the content is insufficient for current version. Move this improvement plan into product development. Workload statistics and analysis Using data to enhance the operation Data Data analized Data visulization of the number of nursing notes every week. To understand the workload by the visualized bars, month over month growth rate and year over y

29 ear growth rate. Actions The results fac
ear growth rate. Actions The results facilitate decision - making for manpower deployment and performance review. For example, an experienced caregiver could mentor young caregivers to improve the change skills of routine tubes change. Jubo NIS use frequency Using data to enhance the operation Data Data analized Monitoring the “ Customer succes

30 s indicator ” which was developed by
s indicator ” which was developed by government policy and the experiences of excellent customers. Actions Customer success plan for NG customers, includes phone call and online training to realize and solve their problems for Jubo NIS platforms. Level Excellent 70 分以上 Good 61~69 分 Fair 45~60 分 NG 45 分以下 Jubo AIs - Monitori

31 ng, Assessment, and Assistant AI Assist
ng, Assessment, and Assistant AI Assistant AIs connect information between modules/sheets, understand nursing note, and automatically complete paper works AI Assessment AIs assess patients ’ health condition. Predict health risks and generate care plan with an evaluation of their quality of life AI Monitoring AIs monitor patients ’ state

32 . Detect abnormal data points which Io
. Detect abnormal data points which IoT devices collected, and notify caregivers in case of anything worrying Vital Signs Anomaly Detection Vital Sign Monitoring ● Vital sign should be measured at least twice a day ● Detect abnormal VS challenges caregivers' sensitivity and the familiarity to residents ● The ML model consider personaliz

33 ed information ● Compare to traditiona
ed information ● Compare to traditional method, 5% increase in accuracy Personalized Vital Signs abnormality range Current VS Data ● Temperature ● SBP ● DBP ● Pulse rate ● Breath rate ● Blood oxygen Personal Profile ● Gender ● Age ● BMI ● Med. history ● Tube usage ● Medication Previous VS Record ● Recent 30 - 60 ● St

34 andard deviation ● Median + + Bedsore
andard deviation ● Median + + Bedsore Image Diagnosis Color Shape Size Stage Bedsore Image Monitoring ● Bedsore should be inspected at least twice a day ● Deep CNN - based model ● Real - time image recognition ● Provide four outputs color, shape, size, and stage ● Achieve 85.3% recommendation accuracy Fall detection No wearables, no ca

35 meras, and no buttons. Real - time fall
meras, and no buttons. Real - time fall detection and maintain privacy. Smart bed system Several pressure sensors are deployed underneath the mattress, which helps patients stay safe and improve care practice. Customized alert time can be set based on seniors ’ needs Vital checking Non - Contact Sensor for beats per minute(BPM) and , revolution

36 s per minute(RPM) with customized alert
s per minute(RPM) with customized alert thread Jubo Space technologies available for care facilities include: Sleep monitoring Fall detection Activity tracking Space Home Activity Tracking Risk Assessment & Care Plan Generation 39 Assessment Diagnosis Digest Urinary Vision Patient Risk/Diagnosis Possibility Risk - Fall 29.0% Risk - Infection - Uret

37 hra 23.2% Skin Damage 22.5% Lack of Self
hra 23.2% Skin Damage 22.5% Lack of Self - care - Cleaning 12.7% Impaired Physical Mobility 12.6% No Walker Assistan t Orientation Yes Bedsore Risk Assessment & Care Plan Generation ● Health condition evaluation needs to consider more than 40 assessments and 60 health risks ● Machine Learning model calculates the possibilities of risks given t

38 he conditions ● Achieve 80.17% top -
he conditions ● Achieve 80.17% top - 1 accuracy and 97.47% top - 5 accuracy ● System searches relevant care plans and support decision making Jubo ’ s next step How Jubo bring benefit to the customers? 公司願景 Transform the LTC industry Professional Care Paper works with standard and detailed nursing records to facilitate care assessme

39 nt, plan and execution. Care Digitizat
nt, plan and execution. Care Digitization Digitize and centralize the documents to one single system for better management. Information is hard to synchronize and share. Care Network A platform to connect all the stakeholders in the care loop. With the AI - enabled cloud services, information is synchronized and easy to access. The platfo

40 rm multiplies the operational performan
rm multiplies the operational performance. It creates a new ecosystem for future on - demand care and personalized care . Expand the team Dr. Jessy Kang, Founder and CEO Stanford PhD, a well - known professor in National Taiwan University(NTU). He specializes in AI and robots and devoted in aging technologies since 2009. Six NTU alumni wit

41 h experiences from HTC, Google, Coretr
h experiences from HTC, Google, Coretronic, Lite - On Electronics lead the major divisions in Jubo Yu Yuang Chen Tzu - Ren Wu GM in TADA division Chen and Wu founced TADA tech in 2010. They joined Jubo team in 2021 after TADA tech was acquired. Dr. Nina Chou , MIT PhD , NTU professor. Established Jubo ’ s AI team in 2019 Peter Urban COO i

42 n North America Joined Jubo 2021. Six -
n North America Joined Jubo 2021. Six - year COO in Rehabtronics Inc. 30 years of executive experience in building innovative startups Bruce Alton Board member/ Advisor Founder of A - partner ventures Dr. Pei - Hung Liao NYMU PhD, NTUNHS professor. Advised Jubo nursing team since 2017. Located in Taipei, Chayi and Vancouver offices. Jubo team no

43 w has 55 young talents with engineering,
w has 55 young talents with engineering, UX design, data science and medical backgrounds. Jubo Solution For Facility Care Toward personalized care 2016 - 2018 NIS and AI ( “ Vital Signs Anomaly Detection ” and “ Bedsore Image Diagnosis) 2022 Smart care space Sense and alerts 2024 On - demand care Uberize the care services 2021 Jubo Home Care Ju

44 bo Telecare Bridge communication gap 20
bo Telecare Bridge communication gap 2019 Jubo for LTC Long Term Care 2019 Jubo for ADC Adult Day Care Future Personalized care With strong academic foundation in NIS and AI. Jubo has developed the solutions for the long term care facilities, adult day care centers and home. Jubo is creating the ecosystem toward future smart care business. Exis

45 ting Centralized care New Business mod
ting Centralized care New Business model Jubo office @ New Taipei City Smart Ageing Tech. Dr. Jessy Kang 史丹佛大學博士 / 台灣大學兼任教授 / 陽明大學兼任教授 Mail: jessykang@jubo.health Web: www.jubo - health.com AI to reduce the efforts in long term care Thank You ! 搜尋 Jubo 智齡科技 按讚、追蹤給予支持 由