PERSONALISED DIGITAL HEALTH INTERVENTION FOR EVERY … · • Efficacy metrics include OS, PFS,...
Transcript of PERSONALISED DIGITAL HEALTH INTERVENTION FOR EVERY … · • Efficacy metrics include OS, PFS,...
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P E R S O N A L I S E D D I G I TA L H E A LT H I N T E R V E N T I O N
F O R E V E R Y C A N C E R PAT I E N T
Vesa Kataja, LT, dosentti
Erikoislääkäri, syöpätaudit ja sädehoito
Lääketieteellinen johtaja
KAIKU HEALTH Ltd
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Solving highly unmet medical need in oncology
C A N C E R
I N C I D E N C E I N C R E A S I N G
P R E C I S I O N M E D I C I N E A N D
P E R S O N A L I S E D T H E R A P I E S T O B E N E F I T
P A T I E N T S
T H E R E ’ S A H I G H U N M E T M E D I C A L N E E D F O R T I M E LY M A N A G E M E N T O F T O X I C I T I E S O F T H E
P R E C I S I O N C O M B I N AT I O N T H E R A P I E S I N O R D E R T O P R O V I D E PAT I E N T S W I T H T H E M O S T
O P T I M I Z E D T R E AT M E N T S A N D T O F O L L O W O N O U T C O M E S A N D S A F E T Y I N R E A L - T I M E
The global cancer incidence was estimated to have risen to
over 18 million new cases in 2018 according to the WHO.
Several targeted therapies, such as immune checkpoint
inhibitor (ICI) and tyrosine kinase inhibitor (TKI) therapies and
combinations with precision radiation, have drastically changed
the treatment landscape of 1st and 2nd line treatments across
several indications.
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Solution: Personalised digital healthintervention for everycancer patient
C E - M A R K E D C L A S S I M E D I C A L D E V I C E
Treatment modality specific algorithms
screen symptoms and real-world data, alert
care team and provide personalised support
for patients.
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© K A I K U H E A L T H
Some terminology
T H E PAT I E N T A C T I V E LY E N G A G E D T O T R E AT M E N T
• PRO = Patient reported outcome
• PROM = Patient reported outcome measure
• ePRO = Electronic patient reported outcome
• ePROM = Electronic patient reported outcome measure
• DHI = Digital health intervention
• DTx = Digital therapeutics
These are not adverse eventsof treatment!
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Value-Based Health Care (VBHC) Measuring what matters to patient is instrumental
• Efficacy metrics include OS, PFS, RFS, TTP, TTF, CR, PR, SD, PD, etc.
• Patient reported AEs collected first for safety, later also for QoL:
Systematic in trials; not so in real clinical world
Reporting has been based upon HCP interviewing patients, usually just prior to the
next planned Tx
→ Information given by the patients has been biased in many ways
→ Treatment desicions have been based on insufficient/incorrect
information
→ Elevated risks for more severe AEs of toxic Txs, stopping Tx early,
even fatalities
Efficacy-focused care
• Efficacy IS NOT effectiveness!
• For value based health care (VBHC) effectiveness must be shown
→ PROs are essential for this!
• ePROs, reported online by the patients themselves, underline the
true patient experience necessary for evaluating the effectiveness
of the therapy
• Kaiku is one of the leading applications utilised in this
Effectiveness-focused VBHC
EFFICACY = HOIDON TEHO = MITÄ TAPAHTUU TAUDILLE EFFECTIVENESS = HOIDON VAIKUTTAVAUUS = MITÄ TAPAHTUU POTILAALLE
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• Access through native mobile application or browser-based web app
• Communication with HCPs, sending images or attachments
• Symptom tracking and timely management
• Reporting on other PROs & PREMs (e.g. QoL)
• Patient consenting
• Patiend education: Access to relevant patient support materials tailored to a
treatment phase and hospital (e.g. survivorship materials)
• Automated communication of lab results (e.g. PSA during follow-up of prostate
cancer treatment)
• Automated triage of symptom reports
• Workflow management within care team
• Patient level decision support dashboard
• Patient population dashboard (”Eagle Eye”)
• Automated triggering of PRO questionnaires based on patients’
appointment schedule
K A I K U H E A LT H P R O D U C T S A N D S E R V I C E S
Patient applications andHCP platform
Kaiku Health HCP platform
Kaiku Health Patient app
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Capturing PROsIntelligent symptom tracking
How Kaiku Health works
Kaiku® Bridge connects with hospital information systems
Data analytics and digital interventions
Non-urgent communication
C O N F I D E N T I A L K A I K U H E A LT H
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K A I KU H E A LT H I S U S E D F O R C A P T U R I N G A N D
P R O C E S S I N G PAT I E N T - R E P O R T E D DATA I N A L L
C O M M O N C A N C E R T Y P E S
Breast Cancer
Prostate and other urological cancers
Lung cancer
Colorectal and other GI cancers
Hematologic cancers
Melanoma and other skin cancers
Gynecological cancers
Head and neck cancers
C O M P L I A N T W I T H A L L C A N C E R C A R E PAT H WAYS
✓
Surgery
✓
Systemic Therapies
✓
RadiationTherapy
✓
Follow-up
✓
Palliative care
C O N F I D E N T I A L
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C L I N I C A L R O U T I N E U S E
+ Successful implementations with over 45 leading oncology care units in Europe+ Usability proven with +100 000 patients in total (+ 5000 oncology patients)+ 5,8 million data points captured
A L G O R I T H M S + 30 novel symptom detection algorithms developed based on the rapidly growing real-world database
E V I D E N C E G E N E R A T I O NPublished RWD data on the ICI module. Several ongoing clinical trials, several trials in the pipeline for building strong clinical evidence on our digital therapeutics
P H A R M A P A R T N E R S Published collaboration projects with global pharma partners (Hoffmann La Roche, Amgen, MSD)
R E G U L A T O R Y C L A S S I F I C A T I O N CE-marked Class I Medical Device in Cancer Care (and upgrade to Class IIA prepared with MDR)
M A C H I N E L E A R N I N G M O D E L S First symptom prediction model implemented to a therapy monitoring module: AUC > 90 %
P O W E R F U L C O N F I G U R A B I L I T YExtremely effective configurability of new follow-up protocols and algorithms (already in + 30 indication and therapy combinations)
A W A R D W I N N I N G U X25 % of the cancer patients using Kaiku are +70 years old, patient compliance across modules > 90 %Best User Experience Design Award at Upgraded Life Festival 2017
I N T E R O P E R A B I L I T Y + 10 established integrations with different HIS, Lab and ERP systems e.g HL7, REST interfaces (Kaiku Bridge)
L O C A L I Z A B I L I T Y 7 countries (FIN, SWE,NOR, NL, GER, CH, ITA), 10 languages
L I F E S C I E N C E
D ATA S C I E N C E
Differentiating factors of Kaiku Health
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• 95 % of cancer patients report positive impact on
treatment experience*
• 90 % of patients would recommend Kaiku Health
(Immune Checkpoint Inhibitor module) to other
patients*
• 5+ months increased life span and increased QoL
for cancer patients with a non-commercial
research-based solution in the US **
Increased vigilance and clinical efficiency
Better patient experience and ultimately better outcomes
• + 5 800 000 data entries captured*
• 10 x more outcome data points from
patients*
• 90 % response rate in follow-up
questionnaires in our cancer care modules
enabling rich longitudinal data capture*
Real-world data on the effectiveness of therapies
• 64 %-75 % reduction in need for phone calls by
patients*
• Over 300 cancer patients screened by one
coordinating nurse*
• Digital patient follow-up reduced emergency room
admissions by 5-10 % with a non-commercial
research-based solution in the US**
Our stakeholder value propositions
* Kaiku Health customer interviews / metrics
**Basch et al. 2017
PAT I E N T H E A LT H C A R E P R OV I D E R P H A R M A A N D M E DT E C H
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S.M.E. Iivanainen, J. Ekström, H. Virtanen, J.P. Koivunen.Predicting onset and continuity of patient-reported symptoms in cancer patients undergoingimmune checkpoint inhibitor (ICI) therapies usingmachine learning. Annals of Oncology (2019) 30 (suppl_11): xi16-xi32. 10.1093/annonc/mdz449
Iivanainen, S., Alanko, T., Peltola, K. et al. J Cancer ResClin Oncol (2019). https://doi.org/10.1007/s00432-018-02835-6
Sanna Iivanainen, Jussi Ekström, Vesa V Kataja, Henri Virtanen, Jussi Koivunen; J Clin Oncol 38: 2020 (suppl; abstr e14058)
Evidence from literature: A randomized controlled trial with 766 metastatic
cancer patients shows that digital symptom monitoring (non-commercial
research tool) during chemotherapy helps patients live longer (5.2 months
longer median overall survival), improves quality of life (31 % of patients),
and reduces hospitalization (4 %) and ER visits (7 %).
Novel results from Kaiku Health’s real-world data: the first study in the world to
publish real-world data gathered by Kaiku Health’s Immune Checkpoint Inhibitor
module show correlations between different symptoms, which might reflect
therapeutic efficiency, adverse effects, or tumor progression. A prospective feasibility
trial validating Kaiku Health’s Immune Checkpoint Inhibitor module is expected to be
published H1/2020.
Digital interventions show a significant potential for improving clinicaloutcomes in oncology
S C I E N T I F I C E V I D E N C E
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+1 day +1 day +1 day
Actication of COVID-19 monitoring
• A patient is provided with a link to activate theCOVID-19 monitoring. The link can be providede.g. at a testing station or sent remotely when a positive case has been confirmed.
+1 day
Kaiku askspatient to perform a dailysymptomcheck*:
• High fever (over 40 ˚C) or milder fever that has lasted for several days
• Worsening cough
• Shortness of breath
• Blood or pink in sputum
• Severe fatigue
• Severe anxiety
-> In case there are signs of alarming symptoms, a patient is advised to contact the care team.
COVID-19 remote monitoring in Kaiku Health
+…
!Only severe symptoms generate
Notifications for the care team
The follow-up period can be configured
at a clinic, e.g. for
10-14 days
*) The follow-up parameters can be flexibly configured within 1-2 days
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A sample workflow of COVID-19 team in Kaiku Health
A patient registers and starts completing daily symptom checks.
COVID-19 team receives notifications only when a patient’s situation is
worsening
COVID-19 team contacts the patient on the urgent symptoms and provides needed instructions or asks a patient to come to the hospital.
A patient is provided a flyer with a link to activate the follow-up or care team can send the link to patient.
Kaiku Health can be handed for patients already at the testing facility. If a patient
receives test that is negative, the follow-up can be automatically deactivated.
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© K A I K U H E A L T H
Kaiku Health asks a patient to report COVID-19 related symptoms on daily basis
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© K A I K U H E A L T H
Healthcare providers landing page, where only the urgent symptom reports are highlighted
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© K A I K U H E A L T H
HCPs have access to a daily dashboard on patients’ symptoms
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R E F E R E N C E S
Co-created in Routine Cancer Care
Leading European hospitals and clinics are using our platform to better monitor their patients, reducing manual work and allowing
prioritization of clinical actions.
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C O M
Lauri Sippola, Joel Lehikoinen, Henri
Virtanen and Kaarlo Haikonen based
on their initial market research at
Aalto University
Kaiku Health Oy
F I R S T C U S T O M E R S D O C R AT E S
C A N C E R C E N T E R A N D
R A D I O T H E R A P Y H I R S L A N D E N
Kaiku Health was taken into use by
Europe’s leading cancer centers in Finland
and Switzerland. Both Docrates Cancer
Center and Radiotherapy Hirslanden are
customers of Kaiku Health.
Kaiku Health has been to our knowledge the
first company in the world to develop an
algorithm for improving symptom management
in cancer immunotherapies based on ePROs.
Collaborations published with world
largest pharma companies such as Roche
and Amgen.
HQ: Vilhonvuorenkatu 11 A, Helsinki Finland
Team of 43 people (28 software, UX and
data and medical science professionals)
Europe leading cancer centers and global
pharmaceutical companies as customers.
C O M PA N Y F O U N D E D
D E V E L O P M E N T O F
C A N C E R I M M U N O T H E R A P Y
A L G O R I T H M S TA R T E D
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