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September 28, 2018

Digitization of Healthcare

Digitization, Health

Bonn University Lecture

Digitization of Healthcare

Digitization of Healthcare

In the midst of accelerated digitization and ubiquitous proliferation of artificial intelligence (AI), machine learning and algorithms for improved system efficiency, the implications of preventable losses and forgone gains due to rash implementation decisions and hesitant behaviour are much more profound for health and healthcare than for other, more commercial products and sectors. The stakes are high for correct diagnosis and treatment, protecting patient records and assuring ethical integrity of health care.

 

Speakers

  • Prof. Dr. Nicolas Wernert, Dean of Bonn University’s Faculty of Medicine
  • Prof. Mariacarla Gadebusch Bondio, Director of University Hospital Bonn’s Medical Historical Institute
  • Katrin Reuter, founder of trackle
  • Prof. Markus Nöthen, Director of Bonn University’s Human Genetics Institute
  • Prof. Dr. iur. Dirk Böhmann, legal advisor for health care and labour law, Deutscher Hochschulverband (German Association of Colleges and Universities)

 

Pros and Cons of Digitization of Healthcare

Improved Efficiency

#MachineLearning, #DeepLearning could allow #AI networks, akin to human #neuralnetworks, to diagnose more efficient & on higher scale than human physicians when algorithms fed w/ #BigData; allows diagnosing & treating rare/ #orphandisease unknown thus far, safing lives pic.twitter.com/TMcmBQkKf3

— JFKuhlmann (@JF_Kuhlmann) September 26, 2018

#digitized virtual patient with electrical #medicalrecord allows faster, easier, more efficient matchmaking w/ physician & treatment in #healthcare

— JFKuhlmann (@JF_Kuhlmann) September 26, 2018

Human Error Carry-Over Effects

#AI will only be as good as its #algorithm. Flaws and #humanerror should not be carried over into #digitaldiagnostic, #digitalhealthcare. Ground work and #algorithmicliteracy required. Then, #healthcare #bigdata will improve accuracy of AI's #diagnostics.

— JFKuhlmann (@JF_Kuhlmann) September 26, 2018

Concerns about Digital Medical Records

Long-term Decision Making

Problems emerging w/ implementation of #digitalmedicalrecord can and will be resolved in the course, see Estland f.i., advantages for patients overweight. pic.twitter.com/7yLJmW9YUu

— JFKuhlmann (@JF_Kuhlmann) September 26, 2018

* Estland Estonia

–> Have a look at how Estonia became the first country to use blockchain for healthcare on a national scale, too!

System Reliability

Concerns about #dataprivacy regarding #digitalmedicalrecord exaggerated, for one, #healthcare system good of people in mind, not commercialised (mostly), second, already implemented, think #onlinebanking, public administrative matters, third, EU highly regulated #GDPR, #GSVO pic.twitter.com/SBohdN0Gtc

— JFKuhlmann (@JF_Kuhlmann) September 26, 2018

Commoditization of Health

Proliferation of #fitnessapps, measuring #healthdata questions #dataownership. Motivation of usage, measurement #wellbeing, #healthylifestyle then #commercialdata, belonging to collector company; if health = #healthdata, belonging to #healthcare system, i.e. other jurisdiction

— JFKuhlmann (@JF_Kuhlmann) September 26, 2018

Improved Diagnostics & Ethics

Improved #diagnostics and predictability, f.i. by means of #genediagnostics or even #wearables, questions fundament of #welfare and #healthcaresystem: health insurance contributions, premium payments per highly individualized risk would eradicate #solidarity

— JFKuhlmann (@JF_Kuhlmann) September 26, 2018

 

  • Event Website
  • Bonn University’s Faculty of Medicine
  • trackle GmbH
  • Bonn University’s Human Genetics Institute
  • Deutscher Hochschulverband

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About Me

Hi, I’m Jan-Frederic. Besides stoically gazing into the future, I like to contemplate and write about everything that moves the past, present and future of our human existence, especially in the urban context, into the right direction.



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