Murchu Consulting | AI advisory for health organisations

What this is

Three ways to work together

Every engagement starts with the decision you are trying to make. From there, we agree the right scope, deliverables, and fee.

A session with your team

One workshop or talk, built for your people and your work, not a generic AI briefing. Useful when a team needs a shared starting point and does not yet have one.

Ongoing advisory

Ongoing access to an independent advisor who can assess vendor claims, review tools, and help your team make sound decisions as questions arise. Useful when the decisions are recurring and no one in-house owns them yet.

A defined engagement

Advisory work with a clear outcome: a review of a proposed system, a written assessment, or support on the AI section of something you are producing for a client.

Background

Health data first, AI second

The order matters. Most AI consultants learned the technology and went looking for a sector. I spent a decade working on health-data quality before I began building AI tools.

Ten years in public health with a provincial government in Canada, working as a business and business intelligence analyst on a health web application serving around five million people.
Master's degree in health informatics and a bachelor's degree in biomedical science.
First author on peer-reviewed research into the barriers to sharing public health data, published in Health and Technology.
I build my own software. Pipely, a tool that reads and scores recorded sales calls, is mine end to end, so I know what these systems can and cannot do because I have had to make them work.

The research

The barriers were human, not technical

I interviewed public health professionals about why their data does not move between the people who need it. The answer was not the technology.

"Overwhelmingly the results show that the majority of barriers faced in this province are human-related."

The study concluded that blockchain was "still many years away from being implemented in this Canadian province", and that there were "human related barriers that could be addressed in the meantime, which are outside the scope of a technical solution". That conclusion is the reason I am careful about AI now. A tool does not fix a trust problem, a leadership problem, or a data quality problem, and buying one before you have named which problem you have is how organisations waste a year.

What the study does not say: it is one Canadian province, ten in-depth semi-structured interviews with public health professionals, conducted between 27 May and 18 June 2019. It is not a claim about health systems everywhere.

Murphy S, Reilly P, Murphy T. Assessing the potential use of blockchain technology to improve the sharing of public health data in a western Canadian province. Health and Technology. 2021;11(3):547-556. doi:10.1007/s12553-021-00539-5. Open access, free full text at Europe PMC.

Fit

Where I am not the right call

You want a policy or regulatory opinion. I am not a lawyer and I will not write you one.
You want a formal ethics audit against a named framework. That is a different profession.
You want someone to build and run a production AI system inside your organisation. I advise and I train. For build work, ask me and I will tell you honestly whether I can do it.
You want a report that says AI will solve it. Sometimes the answer is that the problem is not technical, and I will say so.

Next step

Tell me what you are trying to decide

Email me with what you have in mind, whether that is a session, ongoing advisory support, or a defined engagement. I will tell you plainly whether I am the right person before we discuss scope.

sarah@murchu.ai