Effective patient engagement needs a big data approach …we help you unlock your big data and make it small
(like … ‘fit in the palm of your hand’ kind of small)
Patient engagement strategy and communications have evolved.
He is VP of Care Quality at a small MCO…with a limited budget.
He is charged with improving his plan’s STAR Rating from 3 to 4 over the next 18 months…
…but his patient engagement options are limited to manual blast emails and mail-merge direct mail campaigns.
And then there’s Cindy.
She works in the pharmacy department at a health insurer.
Cindy has a CRM tool but her patient data is locked-up in a monolithic system. Data requests take 1-2 weeks!
When results come, they’re often not what Cindy’s looking for, she has to re-request, and finds herself in a “loop” with her data services department.
Neither Jerry nor Cindy could get quality targeted messages to their members…
in a timely or efficient manner
Jerry found MercuryMessaging™
Mercury provided an end-to-end tool for patient targeting and messaging.
It used to take him “weeks” to create target lists, pull data, and create mail-merge jobs.
With Mercury, Jerry targets patient populations via a point-and-click interface, drafts and formats messages, and completes campaigns in just “minutes to hours”.
Cindy tried MercuryAnalytics
She had a tool to send messages, but her problem was accessing data for her 10+ million members.
Mercury lets Cindy run unlimited data queries and now she gets real-time results. No more requests to database analysts…or waiting weeks for results.
She can run and re-run queries, and iterate until she gets the exact results she’s looking for…efficiently.
Jerry was able to increase his plan’s medication therapy compliance rates by >15% … and STAR Ratings increased.
Cindy has reduced her cycle-time for patient data requests from an average of 2-3 weeks down to mere hours.
“Mobile phone text messaging approximately doubles the odds of medication adherence…”
Jay Thakkar, FRACP; Rahul Kurup, MBBS; Tracey-Lea Laba, PhD; et al. JAMA Intern Med. 2016;176(3):340-349.