Everyday Analytics: Using Public Data and Free Tools to Yield Meaningful Insights for Your Patients, Your Clinic, and Beyond-View Recording

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Video Summary

The presentation, led by Stan Mathis and Dr. Oluwole Jagadee, involves exploring the use of everyday analytics, focusing on utilizing public data and free tools to derive meaningful insights for patient care, clinic operations, and beyond. It's emphasized that the session isn't a technical data science or programming class but serves as a motivational discourse for clinicians to engage in data analytics about the populations they serve.<br /><br />Dr. Oluwole Jagadee presents a case study on understanding neighborhood mental health service utilization in New Haven, Connecticut. He explores demographic factors and their impact on healthcare access, advocating for enhancing community dialogue and outreach with the aid of readily available data resources.<br /><br />The session also showcases a study by Dr. Peter Khan, focusing on the impact of relocating a pulmonary clinic on patient travel times, highlighting the challenges faced by patients using public transport due to lack of access.<br /><br />Lastly, a unique project led by Stan Mathis examines the geographic distribution of first-episode psychosis cases, using spatial data to identify underserved areas in treatment catchment regions.<br /><br />Both presenters reflect on the empowering nature of addressing clinical questions through data analytics, advocating practitioners to extend their analytical capabilities to address complex, location-based healthcare challenges. They emphasize the necessity of understanding geographic and socioeconomic factors to improve healthcare outcomes effectively, recommending resources, data repositories, and training opportunities for those interested in enhancing their analytics skills in clinical settings.

Keywords

everyday analytics

public data

patient care

clinic operations

data insights

mental health

healthcare access

community outreach

patient travel times

spatial data

first-episode psychosis

geographic distribution

healthcare outcomes