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Ida Sim, University of California San Francisco - Stanford Big Data 2015

June 14, 2015
by
Stanford
YouTube video player
Ida Sim, University of California San Francisco - Stanford Big Data 2015

TL;DR

Mobile health can be a valuable tool for diagnosing, treating, and monitoring chronic diseases, providing personalized care and better outcomes.

Transcript

you it's great to be here hearing about all the exciting things that go on most of my time is spent in mobile health researching and thinking about Dana sharing for clinical trial studies but every Wednesday afternoon I have clinic my patients are mostly elderly they're Chinese speaking they're very underserved and when I close a clinic door none o... Read More

Key Insights

  • 🧑‍⚕️ Mobile health can provide valuable information for diagnosing, treating, and monitoring chronic diseases, filling gaps left by electronic health records.
  • 🧑‍⚕️ Behavioral factors contribute significantly to chronic diseases, making mobile health interventions crucial in promoting behavior change and disease management.
  • 😨 The integration of mobile health data into clinical workflow, rather than the EHR database, is essential for effective utilization of the data and improved patient care.
  • 😨 Mobile health data should be described and prescribed in a standardized manner to ensure interoperability and better integration into clinical care.

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Questions & Answers

Q: How can mobile health be effective in real-time frontline care?

Mobile health can provide valuable information for diagnosing, treating, and monitoring chronic diseases, making it a crucial tool in frontline care. Its ability to capture data in real-time allows for personalized care and better outcomes.

Q: How can mobile health improve behavior change and chronic disease management?

Mobile health can help address behavioral factors contributing to chronic diseases, such as inactivity, poor nutrition, smoking, and alcohol abuse. Personal technologies can incentivize and track health behaviors, leading to improved disease management and overall health.

Q: What are the challenges in integrating mobile health data into clinical care?

One challenge is the vast number of disease-specific apps available, which do not cater to individuals with multiple chronic diseases. This requires the integration of different data sources to provide a comprehensive picture of a patient's health.

Q: How can mobile health data be effectively integrated into clinical workflow?

Rather than focusing on integrating mobile health data into the electronic health record (EHR) database, the emphasis should be on integrating it into the clinical workflow. By ordering mobile health data just like any other clinical data, it can be directed to a separate database for analysis and integration into the workflow.

Summary & Key Takeaways

  • Mobile health can provide valuable information for diagnosis, treatment, and monitoring in clinical care, especially for chronic diseases.

  • Chronic diseases account for a majority of the causes of death in the US, and mobile health can play a role in managing behavioral factors contributing to these diseases.

  • Mobile health interventions can improve self-care behavior change, while the data generated can support self-care and better outcomes.


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