Engineering for Connected Patients in the IoT Era
Download as PPTX, PDF3 likes1,221 views
This document summarizes Anurag Singhal's presentation on engineering for connected patients in the IoT era. Singhal is the director of engineering at Clinical Ink, which provides mobile apps and a platform called CentrosHealth to enable clinical trials to capture data from patients using connected devices and sensors. The presentation discusses how Clinical Ink uses MongoDB to store diverse clinical trial and sensor data, ensuring data security, audit trails, and compliance with regulations. It also describes challenges around processing large volumes of data from wearable sensors and finding solutions to issues like data deduplication and streaming.
Engineering for Connected Patients in the IoT Era
- 1. 1 Engineering for Connected Patients in the IoT Era Anurag Singhal Director of Engineering Clinical Ink Inc. Sep 17, 2015
- 2. 2 Introductions Anurag Singhal, MS Director of Engineering anurag.singhal@clinicalink.com @anurag_singhal www.linkedin.com/in/singhalanurag
- 3. 3 About Clinical Ink Founded in 2007, ~100 Employees Winston-Salem, NC, Horsham, PA and Cambridge, MA Acquired CentrosHealth, VC Funding 2015 SureSource & CentrosHealth Platforms Various Awards & Recognitions Society for Clinical Data Management 2014 Best Practices eClinical Company of the Year Founders 50 Club Center for Entrepreneurs
- 4. 4 About You!
- 5. 5 Agenda • Introduction to CentrosHealth Platform • MongoDB in Healthcare Environment • Tackling Data from Wearables & Sensors • Q&A
- 6. 6 CentrosHealth Platform Clinical Trial Specific Mobile Apps For Connected & Engaged Patients In Partnership with Novartis Intro Video http://youtu.be/U2fYY0KBtJ4 Website www.centroshealth.net
- 7. 7 CentrosHealth Platform Surveys, Diaries Tasks & Reminders Medication Adherence Sensor Integration Communications with Clinic Education Content Configured Per Study Needs
- 8. 8 MongoDB @ Clinical Ink
- 9. 9 MongoDB within CentrosHealth Single Replica Set in AWS Single database Database per Tenant Self-Service Access End of Study Exports / Archival Study Level Software Upgrades Separated Database for Personally Identifiable Data HIPAA Security
- 10. 10 HIPAA, 21 CFR Part 11, Safe Harbor & EU Data Privacy Does Mongo do HIPAA? MongoDB Consulting Helped! Recognized need to upgrade to Enterprise edition Admin Audit Trails Stronger Encryption Point in time recovery Support is Awesome!
- 11. 11 Key DB Requirements / MongoDB Fit Requirement DB Implications Store Surveys Document / Name - Value Pairs Capture Sensor Data Big Data Varied Research Applications Flexible Schema Design Global scale clinical trials Data locality Startup Low cost & fast to develop Critical Data / Enterprise Security, Scalable, Availability Audit Trails for Compliance Transactional Documents Strong Fit Good Fit Worked Out Unmet Requirement
- 12. 12 Limitations / Workarounds Tech Support Not allowed to directly edit JSON Offer Data Correction APIs MongoChef for Queries Ad Hoc Reporting for Business Users Not easy over JSON / NoSQL Offer ETL APIs Implement Data Marts
- 13. 13 Tackling Data from Wearables & Sensors CentrosHealth now offers streamlined connectivity for a wide range of medical devices!
- 14. 14 Business Case Enable clinical trial data capture at patient’s home using patient’s phone End to End Medical Device Connectivity Medical grade health data integrity & security Integrate Qualcomm Life’s 2net Platform An open medical device ecosystem
- 15. 15 An End to End Business Process Flow Configure Study & Kit Devices Patients Wirelessly Capture Data Transport, Transform & Store Data Deliver Actionable Insights to Clinicians & Pharma
- 16. 16 Wearables & Biometric Sensors = Big Data 10’s of Months 100’s of Clinical Trials 100’s of Patients Millions of Measur- ements ~100s of Billions of Measurements
- 17. 17 Engineering Sensor Data with MongoDB Device Memory -> Firmware Data Format 2net SDK Normalized Device Data CentrosHealth Sensor Logs (Device Specific) CentrosHealth Aggregated Measurement Data (Device Agnostic)
- 18. 18 Embedded 2net Data as Subdocuments Schema within collection varies by device! Seamlessly embed 3rd party JSON data as a subdocument Store all data received! Note: Data Model shown is similar, NOT actual
- 19. 19 Love that Aggregation Framework! 4GB Test Data 100M Data Points! De-dupe to 33K Records No Indexes 223 Seconds On Macbook Air! Two function calls
- 20. 20 Wrestling with Wearable Activity Tracker Data Activity Tracking device sends Last 15 days of data over and over every 15 minutes! Clinicians needed to monitor all data using our web UI! Server side challenges with reporting over sensor data De-duplication Data streaming to resolve memory issues
- 21. 21 Market Waves! Successfully Completed a Pilot Clinical Trial A Partnership Effort by Clinical Ink, Novartis, PPD, Qualcomm
- 23. 23 Thank You Folks! BTW, We’re hiring a team of full stack, server, web and mobile nerds! Email careers@clinicalink.com
Editor's Notes
- #3: 2nd hire at CentrosHealth Acquired this year by ClinicalInk 16 Yrs Oracle / 1 Year MongoDB
- #5: Raise Hands if you are Using Mongo Community Longer than a year? Enterprise? Healthcare / Life Sciences?
- #11: How many have worked on HIPAA compliant software?
- #13: Raise your hands if you will NOT allow your tech support to directly edit your JSON documents to resolve data issues? APIs implement audit trail functionality Higher effort, but better eventual solution than Triggers anyways!
- #15: How many of you have use a wearable device such as Fitbit, Apple Watch?
- #17: High volume, mid variety and high velocity big data (Long Term Projection)
- #18: Intimately Understand Device data SDKs like 2net can greatly simplfy the integration Yet, must do some device specific processing / learning Always store all raw data Aggregated - Data Model and Semantics are very important