Teme:
• Sava Marinkovich - Scanz/SkinZ • Andrija Janidijevid - Wearables i zdravsteno osiguranje • Bojan Davinid - Mediately • Andrej Kravčuk - CUBE Team
FB - Health Tech Meetup – Health Tech Serbia
Gender Issue
Obavezna lektira
Bertalan Mesko
Bertalan Mesko The Medical Futurist
Bertalan Mesko
MEKATON U APRILU
28.-29. APRIL 2018.
Health Tech Meetup #3 22.03.2018. u 18h ICT Hub
Sava Marinkovich Health Tech Meetup February 2018
Health + tech + Serbia
Acne Affects 600m globally but costly and painful to patients, practitioners, and hospitaL • Acne care pathway is broken. Patients take
up to 2 years before getting proper care and resolution in UK and Germany.
• Poor advice. 9/10 Pharmacists in the UK give incorrect guidance on what Over-the-counter product to use • No Standard. 25 Different Severity Scales globally used by dermatologists.
ScanZ is a clinically validated, easy-to-use handheld device and ehealth platform that quantifies acne.
• • •
ScanZ helps dermatologists and other practitioners simply and quickly assess and treat acne. Interactive progress tracking motivates patients to find and stick to the right treatment. ScanZ creates large scale data sets to help pharmaceuticals develop new treatments and therapies for acne and other skin disease sufferers, as well as to understand patient behaviors better.
Scanz objectively digitizes a patient’s lesions and features in addition to quality of life factors Today
ScanZ
SCAnz solves acne earlier by moving point of care closer to the community and patient
partnerships with top hospitals to clinical validate and publish papers/healthcare economics, EUR 1.6M Grant
Berlin, Germany Largest university hospital in Germany/Euro pe Technology leader
Harrogate, UK Largest acne practice in NHS Standards setter National Support (NHS/NIHR)
Double Winner of EU Horizon 2020 SME Instrument, Phase I and II (€1.6M). 3% of applications granted Includes regulatory, White papers, Healthcare economics Focus on commercialization
24 month grant (Currently at M13) Partners include
Spitzberg Partners LLC
First of its kind data base enables machine learning/AI to drastically improve standard clinical outcomes.
• S-3 Dermatologist’s Guidelines for Treatment of Acne (2016): Consensus based and extracted from limited clinical trials and subjective
ScanZ gives structured information based on continuous data sets to give advanced analysis
SCanZ is integrated within NHS’s architecture to create next gen digital integration • ScanZ worked with NIHR Digital Acceleration team to create first end-to-end Digital Clinical platform including e-consent • Anonymized data lake allows researchers to pull new insights for papers and future studies • Makes future studies easier to launch and scale • GDPR Compliance
Next steps… Problem + Team + Tech (Tools) + Environemnt (Structure)
(ScanZ is also looking for a marketer to join ;-) )
wearables x health insurance
2/22/18
Andrija Janidijevid
definition Wearable technology, wearables, fashionable technology, wearable devices, tech togs, or fashion electronics are smart electronic devices (electronic device with micro-controllers) that can be worn on the body as implants or accessories‌. Wearable devices such as activity trackers are a good example of the Internet of Things, since "things" such as electronics, software, sensors, and connectivity are effectors that enable objects to exchange data (including data quality) through the internet with a manufacturer, operator, and/or other connected devices, without requiring human intervention. Apart from commercial uses, wearable technology is being incorporated into navigation systems, advanced textiles, and healthcare. 2/22/18
Andrija Janicijevic
sport and fitness
2/22/18
Andrija Janicijevic
eurosport
2/22/18
Andrija Janicijevic
definition
2/22/18
Andrija Janicijevic
beginning of the circles
2/22/18
Andrija Janicijevic
carrots
2/22/18
Andrija Janicijevic
results
2/22/18
Andrija Janicijevic
the doctor is you
Medicine Industry
Businesses Employers
2/22/18
Andrija Janicijevic
change is already here
Many large companies and organizations are beginning to encourage the use of wearables. Some corporations offer incentives for those who use wearables and track their fitness. The latest craze is using information from your wearable to reduce health insurance premiums. 2/22/18
Andrija Janicijevic
Switzerland
2/22/18
Andrija Janicijevic
Germany
•Patients with metabolic syndrome •Pre-diabetes •Type-2 diabetes
2/22/18
Andrija Janicijevic
United States
2/22/18
Andrija Janicijevic
Srbija
2/22/18
Andrija Janicijevic
the Dark side
Affordable Care Act presently bars insurance companies from denying coverage to patients with preexisting conditions. 2/22/18
Andrija Janicijevic
Health Tech #2 mag. farm. Bojan Davinid / Mediately
Ĺ ta nas Ä?eka u bududnosti zdravstva?
Današnji plan Evolucija tehnologije Medicinske informacije na dlanu Veštačka inteligencija Razvoj novih lekova
1960-te
1970te
1980te
Beba! Tehnologij a je Tehnologija rođena. ima
Malo veda beba!
Dete! Igramo se i učimo.
jako malo uticaja i upotrebe. Još uvek smo radoznali.
Tehnologija je na univerzitetima i u institucijama. Počinjemo da obradamo pažnju.
Tehnologija ulazi u domove i počinje da utiče na naše ponašanje.
1990te Tinejdžeri! Hodemo, a ne znamo Tehnologija je šta.
svuda oko nas, mnogo je napredovala, i povezujemo se globalno.
2000te
2010te
Odrastamo , i skroz je kul.
Dobrodošl i među odrasle!
Instant globalna komunikacija. Tehnologija je eksplodirala.
Tehnologija je upletena u naš ceo život. Ne ”koristimo” je ved je sada deo nas.
Broj korisnika interneta globalno (u milijardama)
1,453 leka je odobreno od FDA do kraja 2013.
Koji je prvi FDA odobreni lek? 1827 Merck - Mofin
1899 Aspirin
Današnji plan Evolucija tehnologije
Medicinske informacije na dlanu Veštačka inteligencija Razvoj novih lekova
Vodeća zdravstvena IT kompanija u regionu
“Mediately Baza Lekova� Informacije o lekovima i cenama lekova Alati za pomod u radu Klasifikacija bolesti
110.000 registrovanih korisnika
40,000 lekara
7 drĹžava
Baza Lekova u Srbiji 6,659 lekova
30,000 registrovanih korisnika
11,500 lekara
4,000 farmaceuta
Lekari i farmaceuti i ostali zdr. radnici u Srbiji mesecno koriste Bazu Lekova
350.000x Svakog minuta 8 zdravstvenih radnika koristi Bazu Lekova
Mediately RESEARCH Anketirali smo
1,152 lekara O prijavama neĹželjenih reakcija na lek
Koliko lekara nikada nije prijavilo NRL?
Zašto NE?
Da li se ovaj problem moĹže reĹĄiti?
Pod kojim uslovima bi viĹĄe prijavljivali NRL?
Koliko treba da traje proces prijave NRL?
Ako u svakom traĹženju leka uĹĄtedimo
1 sekund = zdravstveni sistem je uĹĄtedeo = 350,000 sekundi 5,800 minuta 97 sati 4 dana
Današnji plan Evolucija tehnologije Medicinske informacije na dlanu
Veštaĉka inteligencija Razvoj novih lekova
Primer: Gospođa Mani je došla u ER sa upalom grla. Ostala je 22 dana.
Mani je primila ispravne lekove i tretman, ali prekasno. Ono što joj se desilo je sepsa.
Dan 1
Upala grla
Dan 3
Simptomi upale pluća
Dan 6
Tahikardija
Dan 7
Septiĉki šok, telo u krizi
Dan 8
Intenzivna nega
Dan 14
Otkazuju bubrezi, pluća...
Dan 22
Smrt
Sepsa može da se spreči ako se detektuje rano! Lekarima je jako teško da je rano otkriju. Možemo da koristimo velike količine podataka i machine learning da rešimo ovaj problem. Promena u zdravstvu je uvođenje digitalnih kartona. Svi vaši podaci se uzimaju i program analizira i poredi podatke među hiljadama pacijenata. Ali softer mora da proceni šta znači koji signal u kontekstu ostalih signala. Dr Suchi Saria https://suchisaria.jhu.edu
4-7% POVEĆAN RIZIK OD SMRTI
1 SAT ODLAGANJA TRETMANA
*16,000 pacijenata
24 SATA PRE ŠOKA ORGANIZMA
2/3 VIŠE PACIJENATA PRE OTKAZIVANJA ORGANA
60% POVEĆANJE UĈINKA OTKRIVANJA
1. Do godine 2035 AI de biti na istom nivou kao ljudi Do godine 2045 AI de biti inteligentnija od svih ljudi zajedno
1500 godina potrebno da se duplira znanje pre n.e.
250 godina Kad smo počeli da pišemo knjige
25 godina Razvoj nauke i nova otkrida
8 godina Rast internet tehnologija
1 godina “information age”
Mozak viĹĄe ne moĹže da prati sve ovo, tako da nam treba pomod AI.
Mozak ima
85.000.000.000 neurona
1%
AI + Machine learning
Današnji plan Evolucija tehnologije Medicinske informacije na dlanu Veštačka inteligencija
Razvoj novih lekova
Od molekula do leka
10-12 godina
2,000,000,000 â‚Ź
Od molekula do leka
TESTIRANJE MOLEKULA
KLINIČKA ISPITIVANJA
10,000 supstanci
5 supstanci, 3 faze
3 GOD
3 GOD
FAZA 4
2 GOD
2 GOD
PREDKLINIČKE STUDIJE
2 GOD
ODOBRENJE FDA, EMA
<250 supstanci
Pradenje i farmakovigelanc a
AI (BIG DATA, Machine learning) moĹže da se koristi u razvoju novih lekova* Cilj je da se deo procesa smanji sa 5 godina na jednu!
5
1
godina
godina
* $43 million GSK-Exscientia deal shows AI advancing
Od molekula do leka – korak napred
AI + Machine Learning TESTIRANJE MOLEKULA
KLINIČKA ISPITIVANJA
10,000 supstanci
5 supstanci, 3 faze
3 GOD
3 GOD
FAZA 4
2 GOD
2 GOD
PREDKLINIČKE STUDIJE
2 GOD
ODOBRENJE FDA, EMA
<250 supstanci
Pradenje i farmakovigelanc a
Današnji plan Evolucija tehnologije Medicinske informacije na dlanu Veštačka inteligencija
Razvoj novih lekova
Digitalizacija sveta i zdravstva, kao i veĹĄtaÄ?ka inteligencija doprinose puno! Pronalazak novih lekova Rana i preciznija dijagnostika Kvalitetnije leÄ?enje
Hvala na paĹžnji
Health Tech Meetup #2
Andrej KravÄ?uk
Beograd, 22. II 2018.
Istorija
20. vek- transformacija
ENI AC
Bududnost
Andrej KravÄ?uk +381 64 11 08 641 a.kravcuk@cubeteam.com andrejkravcuk@gmail.com
Hvala na pažnji i podršci