World Medical Innovation Forum: Insights on AI from healthcare leaders

WMIF Image
Ziad Obermeyer MD, Assistant Professor, Harvard Medical School during First Look session

The World Medical Innovation Forum in Boston just wrapped after three days of insights on artificial intelligence in health care. While it didn’t disappoint in respect to buzzwords as is expected in AI conferences, it was the quality of the participants and their views on AI in health care workflows that made it notable. Here are twelve quotes directly from healthcare leaders.

On AI as a capability and adding immediate value

We realized having great medical devices is not enough, we need to connect them and make them interoperable. We operate on Adaptive Intelligence rather than Artificial Intelligence. Frans Van Houten. CEO, Philips

You will need to have capability to process structured (EHR) and unstructured (genomics) data, we can say we are more advanced in AI due to our work in oncology  – aiding in virtual recruiting in clinical trials. Amy Abernethy, MD, PhD. CMO/CSO, Flatiron Health

Knowing about the range of products being developed now, in 5 to 10 years time, there will not be a single decision made in healthcare and medicine not influenced by AI. John Kelly, PhD. SVP Cognitive Solutions and Research, IBM

30-45% of each provider’s day is wasted in non-care related activities, AI can improve healthcare and reduce burnout. Peter Durlach. SVP Health Care Division, Nuance

On data generation and interoperability

We need to remove any remaining friction between insurers and providers when it comes to sharing data, we need free flow of information. Patrick Conway, MD. CEO, BCBSNC

Some doctors don’t want to be paid electronically. They are still sending paper faxes.  Roy Beveridge, MD. CMO, Humana

Pharmaceutical companies are sitting on mountains of data on clinical trials. This data is still underutilized. Jackie Hunter, PhD. CEO, Benevolent AI

On data security, privacy and consent

When thinking of AI innovation, two considerations  – medical requirements on devices as well as consumer privacy and security. Jigar Kadakia. CISO, Partners HealthCare

Facebook says we got consent from you. But then you don’t really know you signed consent. Consent needs to be clear  – in healthcare. Noga Leviner. CEO, Picnic Health

On quality and trust of all these AI algorithms 

How are we going to address quality. How is that algorithm performing and how does that impact health outcomes? Seth Hain. Director, Analytics and Machine Learning, Epic

There’s a difference between Big data and AI. Big data has informed and enabled’. What has AI done in drug development? Dr Thomas Lynch. EVP, R&D Bristol Myers Squibb

Garbage in, Garbage out. We have to de-toxify the data. Carl Kraenzel. CISO, IBM Watson Health

 

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Facebook and the healthcare sector

Considering the launch of a Bayer campaign back in 2016 reported by Fierce Pharma, Facebook has been building teams that sell pharma ads to the health care sector. While still in the early stages, it is no secret that Google built those teams years ago to sell account management and ad targeting for big pharma and life sciences firms.

Google got clever however. It long invested in Google (Cloud), one of the fastest growing business segment in enterprise. With Amazon (Web Services) and Apple (Electronic health records rollout on its devices), Facebook is far behind the GAFA set in the health care industry. The recent Cambridge Analytics data privacy breach is a set back for the company in rollout of any new enterprise platforms (Workplace by Facebook) and patient data analytics experimentation, especially considering HIPAA privacy regulations. Workplace by Facebook reportedly has signed up over 10,000 organizations in a very short time and is possibly the medium to enter the industry. By working with healthcare providers on collaboration and predictive analytics tools, it may be the route to compete in the already crowded telemedicine market.

Time will only tell if the company can build products that expand beyond other people’s data and the advertising model.