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Predictive AI

&

Time-course Symptomatology

KumbacareRD:
rare disease detection in <2 minutes

 

KumbaCareRD

'making it easier for you to
make better decisions'

When a patients symptoms do not correspond to the anticipated… it might be a rare disease

 

But without professional support,  training or available time (refs1–3) this can result in a patient:

 

  • Spending a lot of time with different specialists for on average 5.5 years,        (often much longer) before actual   diagnosis (refs 4–6).

 

  • Generating 3–5x higher direct healthcare costs (ref 6).

 

  • Not receiving optimal care so as to plan  their life for themselves and their families (refs 6,7).

 

KumbacareRD, our Predictive AI solution , makes it easier for you, as a healthcare professional to make better decisions

Predictive AI

&

Time-course Symptomatology

in a point of care solution

  • To enable & empower healthcare professionals

  • To detect Patients living with a Rare Disease

  • To provide optimised care

Reduce

Time to clinical diagnosis

Pictudfsadfre 1.jpg

By upto
15 years

 

Healthcare costs & asset use

Pictudfsadfre 1.jpg

By upto
5–fold

 

Increase the quality of life for ALL your patients

An Indication Detection Support System (IDSS)​​​​

designed by Healthcare professionals for their peers to care for​​ patients living with rare diseases

in resource constrained locations

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 please reach out to us to know more about accessing KumbacareRD

telephone: + 263 717 514 013

References

1 Irving G, et al. BMJ Open. 2017 Nov 8;7(10):e017902

2 Ramalle-Gómara E, et al. Orphanet J Rare Dis. 2020 Jan 17;15(1):18

3 Baynam, Gareth et al. The Lancet Global Health, Volume 12, Issue 7, July 2024 e1192 - e1199

4 Chung, Claudia C.Y. et al. The Lancet Regional Health – Western Pacific, Volume 34, 100711, 2024

5 Willmen T, et al.  BMC Health Serv Res. 2023 Aug 23;23(1):904. 

6 The Cost of Delayed Diagnosis in Rare Disease: A Health Economic Study. Sourced from https://everylifefoundation.org

7  Parikh R, et al . Proc (Bayl Univ Med Cent). 2016 Apr;29(2):212-3.

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