Remote Treatment Monitoring with the Tablo Hemodialysis System€¦ · • The Tablo® Hemodialysis...

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CONTACT FOR CORRESPONDENCE: Michael Aragon, MD · [email protected] DOC-0006049 Rev 01 Remote Treatment Monitoring with the Tablo Hemodialysis System Remote Treatment Monitoring with the Tablo Hemodialysis System Michael Aragon, MD 1 , Aaron Carrano, MBA 1 1 Outset Medical, San Jose, CA BACKGROUND: Amidst the COVID-19 pandemic, a critical need emerged to reduce patient proximity during care. Remotely viewing dialysis treatments in real-time could improve efficiency when treating COVID-19 patients. The Tablo ® Hemodialysis System is an all-in-one system that is easy to learn and use and is connected and intelligent. Sensors track over 500K data points per treatment which are securely and wirelessly transmitted in real-time to the cloud. The Tablo System streams machine and treatment data in real-time to Tablo Cloud. Tablo Cloud’s scalable architecture processes streaming data and makes it available via API to TabloHub. Users can access their treatment data anytime, anywhere using TabloHub. OBJECTIVE: To report on the accelerated deployment of remote, near real-time treatment monitoring capability on TabloHub to help clinicians treat COVID-19 patients. METHODS: User needs were developed though an iterative human-centered design approach that involved multiple user interviews and product feedback. Machine and treatment time-series data were combined to give a comprehensive view of treatment performance. A new API (Application Programing Interface) was developed to transmit, display and interact with data. CONCLUSION: The robust and flexible data set in the Tablo data ecosystem combined with Outset Medical’s human centered design approach enabled the rapid development of remote treatment monitoring to meet the urgent needs of users. RESULTS: Users identified and prioritized five critical areas of treatment data needing to be monitored: alarms, pressures, UF, blood flow rate, and remaining treatment time. All the data required to support monitoring were readily available in Tablo Cloud. In approximately three months we conducted user needs analysis, developed a prototype, completed final development, and testing. The multi-card view displays live data from multiple Tablo Systems simultaneously. Tablo Cloud Cards expand to display previously recorded treatment data

Transcript of Remote Treatment Monitoring with the Tablo Hemodialysis System€¦ · • The Tablo® Hemodialysis...

Page 1: Remote Treatment Monitoring with the Tablo Hemodialysis System€¦ · • The Tablo® Hemodialysis System is an all-in-one system that is easy to learn and use and is connected and

CONTACT FOR CORRESPONDENCE: Michael Aragon, MD · [email protected] Rev 01 Remote Treatment Monitoring with the Tablo Hemodialysis System

Remote Treatment Monitoring with the Tablo Hemodialysis System

Michael Aragon, MD1, Aaron Carrano, MBA1

1 Outset Medical, San Jose, CA

BACKGROUND:• Amidst the COVID-19 pandemic, a critical need

emerged to reduce patient proximity during care.

• Remotely viewing dialysis treatments in real-timecould improve efficiency when treating COVID-19patients.

• The Tablo® Hemodialysis System is an all-in-onesystem that is easy to learn and use and isconnected and intelligent.

• Sensors track over 500K data points per treatmentwhich are securely and wirelessly transmitted inreal-time to the cloud.

• The Tablo System streams machine and treatmentdata in real-time to Tablo Cloud. Tablo Cloud’sscalable architecture processes streaming data andmakes it available via API to TabloHub.

• Users can access their treatment data anytime,anywhere using TabloHub.

OBJECTIVE:• To report on the accelerated deployment of remote, near real-time treatment monitoring

capability on TabloHub to help clinicians treat COVID-19 patients.

METHODS:• User needs were developed though an iterative human-centered design approach that involved

multiple user interviews and product feedback.

• Machine and treatment time-series data were combined to give a comprehensive view oftreatment performance.

• A new API (Application Programing Interface) was developed to transmit, display and interactwith data.

CONCLUSION:

The robust and flexible data set in the Tablodata ecosystem combined with Outset Medical’shuman centered design approach enabled the rapiddevelopment of remote treatment monitoring to meetthe urgent needs of users.

RESULTS:• Users identified and prioritized five critical areas of

treatment data needing to be monitored: alarms,pressures, UF, blood flow rate, and remaining treatmenttime.

• All the data required to support monitoring were readilyavailable in Tablo Cloud.

• In approximately three months we conducted userneeds analysis, developed a prototype, completed finaldevelopment, and testing.

The multi-card view displays live data from multiple Tablo Systems simultaneously.

TabloCloud

Cards expand to display previously recorded treatment data