NewsHealum care plans linked to a 7.4% average HbA1c reduction in an NHS primary care RCTRead the evidence
A man checks his blood sugar with a finger-prick test at home
A nurse checks a woman’s blood pressure at home
An older woman uses a health app on her phone at home

Data and AI · Activity into insight

See how patients are doing between appointments

Combine care record data, readings from wearables and medical devices, and what patients report, on one real-time dashboard. Step in early, and help keep people out of hospital.

Care recordsWearablesMedical devicesPatient-reported outcomes

What you can do

Know who needs you before the next review

One real-time view

Records, self-monitoring, wearables and medical devices on one dashboard, using only data patients consent to share.

Understand adherence

See how people follow their plan, from goals and habits to medication, and where they need help.

Free up clinical capacity

Monitor metrics inside and outside consultations, and spend clinic time on the people who need it.

How monitoring works

From readings at home to action in clinic

Patients choose what to share. Their data comes together in one view, and your team sees who is off track.

  1. 1Patients connect and consentPeople connect Fitbit, Google Fit or Withings, and choose what to share with their team.
  2. 2They track at homeThey log health and non-health metrics in the app, for their healthcare team to see between appointments.
  3. 3Records join the pictureCare record data, including from EMIS, sits beside device readings and self-reports on one real-time dashboard.
  4. 4See who is off trackHealth trends highlight who is off track or at risk of deterioration, so you can reach out early.
An older woman talks on the phone in her kitchen, holding a cup of teaJoyceLast 14 daysFlagged
14 days agoToday
Weight up, steps down, more breathlessRecordDevicesReports

How monitoring works

From readings at home to action in clinic

Record entries, device readings and patient reports each arrive at their own pace.

They come together in one timeline for Joyce, every item in time order.

Lined up, small changes tell a story.

Joyce’s weight crosses her threshold, and she is flagged to the team.

Priya calls Joyce and updates her plan. A note goes back into her record.

One view. Problems show early.

Records, devices and self-reports, in one place

See virtual wards
LiveCare recordDevices and wearablesPatient reportsJoyce · one timelineCare recordWeightStepsBreathless14 days agoTodayWeight thresholdGP reviewBlood test resultMedication reviewWeight 84 kgSteps 2,100Heart rate 72Feeling wellA bit breathlessBreathless on stairsBreathless againWeight up, steps down, more breathlessAbove threshold
Remote monitoringThis week
An older woman talks on the phone in her kitchen, holding a cup of teaJoyceLast 14 daysStableFlaggedPlan updated
AArunStable
BBethStable
KKofiStable
A clinician smiles as she talks on the phone at her laptopPriya, Practice NurseCalling Joyce…On the call with JoycePlan updated
Note: plan updated
For clinicians

Every reading, in the context of their plan

Track almost anything, see every reading charted, know who is out of range, read what people tell you, and see how they take part.

Every reading, as a chartFrom the app, wearables and devices, above the log.

Track almost anythingA number, a choice, an emoji, a photo or a few words.

Who’s out of range, liveReadings outside their targets rise to the top.

What they tell usQuestionnaires like the PHQ-9, scored and compared.

Taking partThe goals he’s joined, what he’s read and sent.

In our NHS RCT

People with type 2 diabetes kept tracking over 6 months.

Read the evidence

2,430

tracking entries in the app

6,797

healthy choices logged

−7.4%

average change in HbA1c

See remote monitoring for your service

We’ll show you the dashboard with the devices and data your team uses.