Campbell, K*, Lakkireddy, D#, Ray, N*, Williams, S#, Gopinathannair, R#*PaceMate Bradenton, Florida #Kansas City Heart Rhythm Institute, Overland Park, KS

Use of Automated Software to Increase Patient Compliance and Transmission Capture in the Remote Monitoring of Cardiac Implantable Electronic Devices (CIEDs)

ConclusionsMethods ResultsIntroduction• Remote monitoring (RM) of CIEDs has

been shown to reduce death and hospitalizations, prevent strokes, and improve patient care. 1,2

• RM can be labor intensive and requires 24-hour surveillance to be most effective. The average CIED clinic captures only 25% of transmissions.

• Barriers to optimal outcomes include a lack of clinic infrastructure which can lead to poor patient adherence, technical problems, and missed transmissions.

• In this study, RM automation of RM with PaceMateTMsignificantly improved CIED RM transmission rate, likely by streamlining workflow, improving compliance, and ensuring appropriate transmission capture

References

• The transmission rates of all billing codes increased after implementation of PaceMateTM automation.

• Overall 6-month transmission rate after automation (5540) exceeded the institution’spreviously reported annual transmission rate (5294) and increased 109% from the pre implementation study period.

• Notably, transmissions for the heart failure codes (code 93297) changed from 0 to 711 transmissions.

In a large academic medical center CEID device clinic, the 6-month RM transmission rates of standard clinic staff-based RM management was compared to software-managed RM in a pre-post design around the implementation of automated RM workflow managed by PaceMateTM(PML) software. Successful transmission volume was measured by billing frequency of each of the 6 CMS established RM codes. Transmission volume comparisons were calculated for each RM code and overall.

RM CODE

Number of transmission 6 months prior without PML

Number of transmissions

6mos with PML

Increase in number of transmissions

% Increase in

Transmissions

93294 268 404 136 50.75%93295 396 543 147 37.12%

93296 664 943 279 42.02%

93297 0 711 711 n/a93298 660 1378 718 108.79%93299 658 1561 903 137.23%

TOTAL 2647 5540 2893 109.29%

• We evaluated the use of an automated RM software to improve patient adherence and RM transmission capture .

Purpose

1. Implant-based multiparameter telemonitoring of patients with heart failure (IN-TIME): a randomisedcontrolled trial Lancet volume 384, issue 384, p583-590, Aug 16, 2014

2. A randomized trial of long-term remote monitoring of pacemaker recipients (The COMPAS trial). Eur H J 2012 May; 33(9): 1105–1111.