Health Consulting


Sustainable Development Goal Targeted: Good health and well-being

Health Consulting aims to address several issues in emerging economies:

Saving lives- not accessing medical facilities within correct timeframes due to lack of knowledge or lack of access can result in accelerated ill health resulting in debilitating illness or death. This is particularly prevalent in the case of TB where limited medical resources can compound a problem.

Greater health for all- medical facilities in developing countries can be stretched thin because of large numbers of patients and very limited resources. Medical data shows that a lot of patients do not need specialist medical care at the time they present, improving this enables greater health care for those who do need it.

Increased safety and well-being- travelling to a medical facility in a developing country is both risky and difficult. Particularly for females it leaves children without a provider or risks their safety if they travel with. There is also cultural challenges to accessing health care. Overcoming these challenges should only be considered when the medical situation warrants it.

Burden of cost- access to health services for rural communities costs money in the form of transport and loss of opportunity cost in productive work. When health services are located at a distance a full day or several may be lost disconnecting family members.


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Goal 3: Good Health and Well-being


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Context In December 2018, the Health Consulting Team conducted interviews with Heads of Clinics in Blantyre in order to validate the customer segment. Through conducting these interviews, the team generated invaluable insights with regard to the healthcare challenges clinicians identify and the emotions they feel in relation to these challenges. From these insights, the January 2019 Health team were able to construct a problem centric message, for the purpose of offer testing, that...

by Isabella Strapp
2 Votes
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Isabella Strapp
Idea thumbnail
Proposed Experiment

  Lean Phase: Solution   Time Box: February to July (6 months)   Assumption: To ensure the system is reliable and accurate without Project Everest intervention.   Success Metric: Percentage of symptom only triages that match face-to-face consultations after the system is used without direct PEV engagement with patients.   Green light: Integrate algorithm into product   Success point: 95%, As both experiment 1 and 2 ran at a 95% confidence interval, so should the...

by Emily Guerin
5 Votes
Comments 1
Emily Guerin

Reference to Experiment Post: This experiment focussed on validating the assumption that clinicians identify with the problem that they feel frustrated by not having quality time with their patients and that they want better health outcomes for their patients. The long term goal was to initiate communication with heads of clinics and build relationships. Reassert Lean Phase:  Problem  Assumption: People within our customer segment identify with the problem described as ‘you...

by Isabella Strapp
6 Votes
Comments 1
Isabella Strapp
Idea thumbnail

Reference to Experiment Post: Lean Phase:  Problem Assumption: People within our customer segment identify with a particular way of describing a problem. Results: Between 6 and 12 people clicked on the links Zero people registered Validated Learning: The experiment was planned to be quantitative and conducted through the channel identified; posts on Malawian medical Facebook groups. We then identified and applied for...

by Catherine Edwards
4 Votes
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Catherine Edwards