Neue Möglichkeiten in einer verbundenen WeltDigitalisierung der Medizin in Bayern - Fokus klinische Patientendaten

2

IoT Plattform in einem Ecosystem

3

Klinische Tests – Eine „einfache Frage“

Probanden

4

Klinische Tests – Der Weg zur Testperson

TestpersonProbanden

5

Klinische Tests – Ein lange Weg

TestpersonProbanden

6

Klinische Tests – die Nadel im Heuhaufen

TestpersonProbanden

7

Klinische Tests – die Nadel im Heuhaufen in 6 Sekunden

TestpersonProbanden

8

Sym

pto

ms

UTI

Diabetes

Influenza

Hypokalemia

Renal Failure

no abdominal painno back painno coughno diarrhea

(Thyroid Autoimmune)

Esophagitis

pravastatinAlendronate

levothyroxine

hydroxychloroquine

Diagnosis Models

frequent UTI

cutaneous lupus

hyperlipidemiaosteoporosis

hypothyroidism

Confidence

difficulty swallowing

dizziness

anorexia

fever dry mouth

thirst

frequent urination

Fa

mil

yH

isto

ry

Graves’ Disease

Oral cancerBladder cancerHemochromatosisPurpura

Pa

tie

nt

His

tory

Med

icati

on

sF

ind

ing

s

supine 120/80 mm HG

urine dipstick:

leukocyte esterase

urine culture: E. Coli

heart rate: 88 bpm

Symptoms

Family History

Patient History

MedicationsFindings

• Extract Symptoms from record

• Use paraphrasings mined from text to handle

alternate phrasings and variants

• Perform broad search for possible diagnoses

• Score Confidence in each diagnosis based on

evidence so far

• Identify negative Symptoms

• Reason with mined relations to explain away

symptoms (thirst is consistent w/ UTI)

• Extract Family History

• Use Medical Taxonomies to generalize medical

conditions to the granularity used by the models

• Extract Patient History• Extract Medications

• Use database of drug side-effects

• Together, multiple diagnoses may best explain

symptoms

• Extract Findings: Confirms that UTI was present

Most Confident Diagnosis:

8

Klinische Tests – Wie finden die Daten zusammen

9

Watson IoT Health care / Life Science cooperations I / III

American Heart Association: Earlier 2016, IBM teamed up with the American Heart Association (AHA) and Welltok to develop two tools. One will help Welltok's employer customers measure their workplace health culture and the other will help employees' better assess their health using AHA questionnaires.

Under Armour: Under Armour announced last month that it will apply Watson computing to all the data collected in Under Armour’s UA Record app, and come up with personalized coaching and training recommendations. It also could use cognitive computing to recognize foods and do automated food logging.

Nutrino: Nutrition focused startup Nutrino announced it would use Watson’s natural language and deep question and answer features to provide women who are expecting with meal recommendations and nutrition guidance.

Novo Nordisk: In December 2015, Novo Nordisk announced that it was working with IBM Health to develop new tools to improve diabetes care based on data collected from Novo Nordisk devices and treatments.

Manipal Hospitals: A week prior to the Novo Nordisk announcement, India-based Manipal Hospitals announced it would use the Watson for Oncology product that IBM developed with Memorial Sloan-Kettering Cancer Center. The offering analyzes data to help oncologists develop personalized evidence-based treatment options.

10

Watson IoT Health care / Life Science cooperations II / III

Boston Children’s Hopsital: IBM and Boston Children’s announced in November 2015 that Boston Children’s would use Watson to find diagnosis and treatment options for rare pediatric diseases. Their initial research would look into kidney disease.

Triax Technologies, Spare5: IBM partnered with two athlete-focused companies in October 2015. Triax Technologies, which offers a sensor-embedded headband that aims to keep athletes safe, will use Watson to analyze sentiment while the player is in the game. This data will be used to help coaches work with players to improve their safety during a game. Spare5 is using Watson to create an app, called Watson Golf Pro, that will help amateur golfers improve their game.

Teva Pharmaceuticals: In September 2015, Israel-based Teva said it would use Watson to develop tools that help people with chronic and complex conditions, including asthma, pain, migraine and neurodegenerative diseases.

Mayo Clinic, Epic: The two organizations announced in May 2015 that Watson's cognitive computing platform will integrate with Epic's EHR, allowing doctors to use Watson for clinical decision support in the way that some cancer centers already do. The technology could help "develop patient treatment protocols, personalize patient management for chronic conditions, and intelligently assist doctors and nurses by providing relevant evidence from the worldwide body of medical knowledge, putting newinsight into the hands of clinical staff," IBM wrote in a release.

11

Watson IoT Health care / Life Science cooperations III / III

Various US cancer institutes: IBM announced that it would collaborate with more than a dozen cancer institutes. IBM will help the institutes derive personal insights from cancer patients' DNA, a process IBM says Watson can reduce from "weeks to minutes". Partnerships include: University of North Carolina, Ann & Robert H Lurie Children's Hospital of Chicago, BC Cancer Agency, City of Hope, Cleveland Clinic, Duke Cancer Institute, Fred & Pamela Buffett Cancer Center in Omaha, Nebraska, McDonnell Genome Institute at Washington University in St. Louis, New York Genome Center, Sanford Health, University of Kansas Cancer Center, University of Southern California Center for Applied Molecular Medicine, University of Washington Medical Center, and Yale Cancer Center.

hc1.com: hc1.com announced in May 2015 that its Patient Insights app, powered by Watson "analyzes patient interactions to tailor future engagement based on personality insights". Eskenazi Health in Indianapolis was trying the app out at the time of announcement.

Talkspace: Also in May 2015, text message-based therapy startup Talkspace announced it would use Watson to help match patients with therapists. The company added that it would use Watson to analyze customers' text messages and attempt to draw insights about their personality that will help match them to the best possible therapist on the platform.

LifeLearn: In October 2014, LifeLearn teamed up with IBM to apply Watson to veterinary medicine. A Watson-powered mobile app, Sofie, helps veterinarians identify potential conditions and practice evidence-based medicine in the treatment of animals. The Aberdeen Veterinary Clinic was already using the software when the partnership was announced.

12

Weitere Informationen

Learn more about IBM’s point of view on the Internet of Things: www.ibm.com/IoT

Try out Internet of Things on Bluemix: www.ibm.biz/try_iot

IBM MessageSight in Action: www.youtube.com/watch?v=Hge421-w_iA

IBM: Transforming Life Sciences: https://www.youtube.com/watch?v=uZfj1nSPOPE

Join us in our IoT conversations: @IBMIoT, @MaximoTririga, @IBMBluemix, @IBMWatson, @ibmbizanalytics, @IBMHealthcare

Outthink Downtime - mit Predictive Maintenance von IBM: www.youtube.com/watch?v=YXdEXdhE_0Y

Maximo for utilities: www.youtube.com/watch?v=qSVT0-BOmcI

IBM Tririga - Lifecycle Corporate Real Estate Management: https://www.youtube.com/watch?v=F0CU7JqpNIA

IBM Watson: How it Works: https://www.youtube.com/watch?v=_Xcmh1LQB9I

Siemens and the future of connected buildings: https://www.youtube.com/watch?v=Wo1p0XwUYV4

IBM’s commitment to Europe: https://www.youtube.com/watch?v=-z-aZOu1fUQ

Get insight with IBM Watson Analytics: http://www.ibm.com/analytics/watson-analytics/

IBM Healthcare and Life Sciences industry blog: http://www-935.ibm.com/industries/lifesciences/blog.html

13

Ihr Kontakt

IBM Austria

Obere Donaustrasse 95

1020 Vienna+43 664 618 7047

marcus.kottinger@at.ibm.com

Marcus Kottinger cert. Energy auditor

Industry 4.0 / Life Science

IBM Watson IoT