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Measurable Clinical Outcomes

Our products are clinically validated, resulting in measurable patient outcomes.

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Significant reduction in caesarean sections

[(27/101, 26.7%) in GDm-Health group versus (47/102, 46.1%) in the control group, P=.005]1

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Reduction in pre-term births

[(5/101, 5.0%) in GDm-Health group versus (13/102, 12.7%; OR 0.36, 95% CI 0.12-1.01) in the control group]1

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Significantly higher overall health status

[5-level EuroQol 5-dimension questionnaire, mean score increased in the EDGE-COPD group by 0.01 and decreased in the standard care arm by 0.08, P=.003]2

Providing time to care and saving costs

Our products help to make clinicians more efficient, allowing them more time to spend with their patients. They also reduce the number of unnecessary clinical visits, driving costs down for healthcare providers.

£230

Saving per patient using GDm-Health3

40%

Reduction in number of visits to see practice nurses for COPD patients using EDGE-COPD app2

50%

Reduction in time spent on clerical and administrative tasks when using GDm-Health3

30%

Reduction in the time to take a set of vital sign observations when using SEND4

Our presence

The adoption of our products and our Strategic Research Agreements with NHS Trusts.

GDm-Health

SEND

BPm-Health

Strategic Research
Agreement

Data Access
Agreement

Areas We Cover

Healthcare - we work with health systems to supply advanced software that enables better care of patients remotely.

Life sciences - we work with pharmaceutical companies to analyse real world data from electronic patient records to accelerate medical research.

We supply Clinical AI software for remote patient monitoring ~50% of NHS England Trusts and have access to anonymised data on over 6.8 million NHS patients.

NHS Trusts Map

Satisfaction

Connecting patients, clinicians and researchers to improve patient care.

Analysing results from clinical trials and observational studies to improve patient outcomes. Our products meet the needs of both patients and clinicians.

98%

Users of GDm-HealthTM app would recommend the app to their family and friends1

You’re being looked after really …. I did like the idea that someone would be looking over me
Patient, using the edge-COPDTM app
I can look at the pollution readings and avoid polluted areas, preventing the onset of any respiratory symptoms and potentially avoiding a COPD attack. Knowledge is power!
Derek, a COPD Sufferer using CleanSpaceTM app
The GDm-Health system has helped to transform the way we deliver care for women with diabetes in pregnancy.
RACHEL CROWLEY, FORMER DIABETES SPECIALIST MIDWIFE, ROYAL BERKSHIRE NHS FOUNDATION TRUST
Love SEND
ICU REGISTRAR

Compliance

The design of our products has been led by clinicians, helping to improve patient compliance and medication adherence.

illustration of blood glucose input in mobile phone
Significantly better adherence to blood glucose monitoring

[mean 3.80 readings per day, (SD 1.80) in the GDm-Health group and mean 2.63 readings per day, (SD 1.71) in the control group (P=1

illustration of a pair of lungs
High compliance for COPD monitoring

[EDGE-COPD patients submitted symptoms and oxygen saturations 5.9 days per week and completed their diaries within 2 hours of their chosen time.]2

References

1. Mackillop, L., Hirst, J.E., Bartlett, K.J., Birks, J.S., Clifton, L., Farmer, A.J., Gibson, O., Kenworthy, Y., Levy, J.C., Loerup, L. and Rivero-Arias, O., 2018. Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial. JMIR mHealth and uHealth, 6(3), p.e71.

2. Farmer, A., Williams, V., Velardo, C., Shah, S.A., Yu, L.M., Rutter, H., Jones, L., Williams, N., Heneghan, C., Price, J. and Hardinge, M., 2017. Self-Management support using a digital health system compared with usual care for chronic obstructive pulmonary disease: randomized controlled trial. Journal of medical Internet research, 19(5).

3. National Institute for Clinical Excellence (2017) Health app: GDm-Health for people with gestational diabetes. Medtech innovation briefing (MIB131).

4. Wong, D., Bonnici, T., Knight, J., Gerry, S., Turton, J. and Watkinson, P., 2017. A ward-based time study of paper and electronic documentation for recording vital sign observations. Journal of the American Medical Informatics Association, 24(4), pp.717-721.