5:10 - 5:30 pmSaturday, September 17
LK 120
Obesity management with patient engagement and gamification. Results from a large-scale nationwide network of cloud connected health kiosks.
LK 120
Obesity management with patient engagement and gamification. Results from a large-scale nationwide network of cloud connected health kiosks.
BackgroundObesity management in underserved patient population has not shown long term sustained outcomes. Access to engaging tools to measure, track and interact with results are not readily available... Read more

Description

Background
Obesity management in underserved patient population has not shown long term sustained outcomes. Access to engaging tools to measure, track and interact with results are not readily available to underserved populations.

Objective
To examine the relationship between obesity and patient engagement with a nationwide connected health kiosk network.

Methods
De-identified historic data from a nation wide connected health kiosk network (higi SH, llc www.higi.com) was analyzed from September 2012 to May 2015. At time of this abstract submission approximately 10,000 ABP kiosks were deployed within the network. Only obese patients with initial BMI readings in the obese range and those who opted-in to share data for research purposes were included in the study. Level of engagement was defined as the total number of logins per month, achievements, or badges, earned on the gamification platform. Weight changes were defined as the difference between patients first and last reading on the kiosk network. Patient demographics, level of engagement with gamification platform and their weight trends were analyzed and correlation measured.

Results
A total of 113,272 patients qualified the inclusion criteria for the study. The patients on the gamification platform earned a total of 898,130 achievements. There was a statistically significant difference in drop in monthly weight loss with number of logins per month by patients (p-value < 0.01). Patients with greater than 20 logins per month showed an average total weight loss of 5.35 Kg (p<0.01) and an average monthly weight loss of 0.45 Kg (p<0.01).

Conclusion
The results showed a statistically significant relationship between engagement on the gamification platform and weight loss.

Khan Siddiqui, MD is a serial entrepreneur and currently CTO and CMO of higi SH llc. Dr. Siddiqui is responsible for strategic direction of the company and leads the development of higi’s products and technologies. higi, a consumer centric health engagement company, uses a combination of interactive and social tools to help consumers to take small but meaningful engagement steps in their health and wellness to create lasting habits. higi has built the largest self-service health kiosk network in the US where 75% of US population lives within 5 miles of a higi station.

Prior to higi, Dr. Siddiqui was a Physician Executive and Principal Program Manager at Microsoft responsible for platform engineering for the health solutions group. He was responsible for engineering execution on various enterprise and cloud health products as well as personal health record for consumers. One of his key achievements at Microsoft was stimulating computer vision research that led to the development of classification forest algorithm, which is the foundation technology in Xbox Kinect. Dr. Siddiqui is on the board of directors of various startups in the US as well as a technology advisor for multiple national healthcare organizations.

A widely respected healthcare and technology expert focusing on persuasive technologies in health and wellness, Dr. Siddiqui is also a visiting Associate Professor at John Hopkins University School of Medicine. He completed his internship at New York University followed by diagnostic radiology residency and body imaging fellowship at Geisinger Medical Center in Danville, PA as well as imaging informatics fellowship at University of Maryland.

Current research includes large scale population studies on impact of ubiquitous access to health in combination of persuasive technologies to improve healthcare outcomes.

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