Creating Behavioral Impact using AI in Healthcare

Intelligent Behavioral Medicine
Creating Behavioral impact using AI in Healthcare

This meetup will focus on how behavioral science application in different AI-based features can change patients’ behavior, to consume better health services and improve health condition.

Agenda:
18:00 | Gathering and refreshments

18:30 | Responsible Health Decisions: Whose Responsibility Is It? Lessons from Behavioral Economics.
Prof. Talya Miron-Shatz PhD. CEO CureMyWay

18:45 | Making healthier choices: Combining Behavioral Science and ML Algorithms in real-life Healthcare settings
Tom Mushkat, PhD candidate, Behavioral AI unit, Clalit innovation
Adi Berliner PhD, Head of Behavioral AI unit, Clalit innovation

19:05 | Behavioral Economics and Mobile Health
Michael Sobolev PhD, Scientist at the Cancer Research Center for Health Equity, Cedars-Sinai Medical Center

19:25 | Creating Behavioral impact in Hypertension Management by Optimizing Digital Coaching
Tomer Gazit PhD, Data Science Team Lead at Hello Heart

19:45 Break

20:00 | Put It Into Practice - a Panel discussion
Host: Talia Tron PhD, Data Scientist at Intuit, Senior Lecturer at Holon Institute of Technology.

20:45 | Drinks and sweets

Abstracts:

Responsible Health Decisions: Whose Responsibility Is It? Lessons from Behavioral Economics.
Prof. Talya Miron-Shatz, PhD
In theory, we would not need to help people make better health choices, because it’s in their own best interest. But, in practice, people do need this help. We all do. In this talk, Prof. Miron-Shatz will explain what creates the gap between people’s attitudes and their actual behavior, using core concepts from behavioral economics. She will then show two practical approaches to changing behavior - boosting and prompting, and will demonstrate how simple behavioral interventions work well in the short term, but are not enough when it comes to changing patients’ behavior and improving health outcomes over time.

Making healthier choices: Combining the fields of Behavioral Science and ML algorithms in real-life Healthcare Settings
Adi Berliner, PhD
Behavioral-informed interventions are frequently used to encourage patients towards healthier choices and actions. However, their effects might be limited, since they are designed based on a 'one-size-fits-all' approach instead of tailoring the best optimal intervention to each individual.
There is a huge gap between what AI and decision support tools recommend and the behaviors we can witness. This gap can be mitigated by combining the fields of Behavioral science, data, and algorithms.
In this talk, Adi will present practical solutions that were implemented at Clalit, and share her experience in utilizing those solutions in a real-life settings.

Behavioral Economics and Mobile Health
Michael Sobolev, PhD
Over the last 10 years the field of behavioural economics and mobile health evolved together, with both providing opportunities to improve health and clinical outcomes around the world. This talk will provide a general overview on the integration of behavioural economics and mobile technologies to improve health. Specifically, Michael will discuss his own experience in developing a digital psychiatry clinic at Northwell Health in New York City and a nudge unit in cancer prevention and control at Cedars-Sinai Medical Center in Los Angeles. Michael will further discuss development of mobile health technology and collaborating with start up companies in the US.

Creating Behavioral impact in Hypertension Management by Optimizing Digital Coaching
Tomer Gazit, PhD
Almost half of western world's adult population suffers from Hypertension, the “silent killer”. Patients show little or no symptoms but gradually increase their risk for Heart Failure, Heart Attacks, Stroke and more. Doctors agree that the key to controlling Hypertension should focus on daily habits and behavior. Yet behavior change is complicated, since it requires change of habits, while simultaneously fostering a new, possibly unfamiliar, set of actions.
With a combination of behavioral science, gamification, personalization, digital coaching and Machine Learning, Hello Heart empowers patients to understand and improve their heart health. In this talk Tomer will demonstrate a recommendation system for the personalization and optimization of heart related digital coaching content.
Tomer will discuss the lessons learned from development and the implementation, as well as the influence on clinical outcomes.