Digital health postgraduate personal statement example

Personal statement example

My interest in digital health began with a fairly unglamorous task: cleaning a spreadsheet. For my final-year Health Sciences project I compared uptake of online appointment booking at two GP practices serving similar-sized populations. Before I could analyse anything, I spent weeks reconciling inconsistent codes, duplicated registrations and free-text entries that recorded the same thing five different ways. The finding that interested my supervisor most was not the difference in uptake rates but how much of that difference could be explained by how each practice had introduced the system, who had been asked to explain it to patients, and whether the reception team believed it would reduce their workload. I concluded, carefully, that the technology was the smaller part of the problem. That conclusion is why I want to study digital health formally rather than continue picking it up in fragments.

Since graduating I have worked as a medical records and patient services administrator at a general practice with around nine thousand registered patients. Much of my week involves summarising incoming records, coding correspondence, managing the online consultation inbox and helping patients who cannot get the app to work. It is administrative work, not clinical or technical, but it has taught me things a course alone would not. I have seen how a small change to a template alters what clinicians can later search for, how patients who are digitally excluded quietly fall back on telephone queues, and how staff develop workarounds that keep the day running while making the data less reliable. When our practice reviewed its online consultation forms, I was asked to log the queries patients raised at the desk and present a summary to the practice manager. My contribution was observation and record-keeping rather than decision-making, but it showed me how thin the evidence often is when services are redesigned.

I also spent four supervised days shadowing a clinical systems team at my local trust, sitting in on a training session for a new e-observations module and watching a data quality meeting. I was there to observe and take notes for my own learning; I helped by collating feedback forms. What stayed with me was how much of the team's time went on interoperability and governance rather than on the software itself, and how routinely they had to explain the same change to audiences with very different priorities.

To build the technical side, I completed an online introduction to health data, which covered SNOMED CT, basic SQL and the structure of routinely collected datasets, and I have been working through R using publicly available health datasets to practise cleaning and visualising data. I found Atul Gawande's writing on checklists useful when thinking about why decision support is sometimes ignored, and I have read enough about the implementation of large national systems to be wary of assuming that a good design will be adopted.

Alongside work I volunteer at a weekly digital skills session at my local library, mostly helping older users with email, forms and the NHS App. Explaining a verification code to someone who does not trust the process has made me more realistic about digital-first services than any reading has.

I am looking for a course that combines health informatics, evaluation methods and implementation, so that I can move from describing problems to assessing solutions properly. In the longer term I would like to work in informatics or service evaluation within primary care, where I already understand how the data is made.

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