Author name: jimhoover

In the course of my work, I once met a senior enlisted Navy corpsman who provides healthcare HIPAA training throughout the USA. For the sake of privacy, let’s call him Carl Kabacinski. As we discussed healthcare IT problems, he was intrigued to learn more about how I detect clinical data mistakenly entered into the wrong […]

I drive Uber during breaks between contracts for health IT work. Recently, I picked up a younger Asian woman at a DC-area Metro station on a sunny afternoon. I’ll call her CJ — not her real name.After the usual pleasantries, we started talking about work. When I mentioned my job — detecting errant clinical data

By: Jim Hoover, Principal Investigator Accurate healthcare data is vital—from tracking disease trends to prescribing the right treatments. Even minor data errors can ripple into major patient safety issues. Avant Health Sciences recently conducted an error detection project to uncover wrong patient associations using a statistical technique called delta analysis, focusing initially on height and

Duplicate records have existed since the first use of electronic health record (EHR) systems. The healthcare information management (HIM) industry has struggled with this issue ever since and has yet to make real progress to prevent these data errors from recurring. Part of the reason is how the healthcare industry describes the problem of “duplicate”

In the field of computer science, we typically write our first program in a new computer language to output “Hello, world”. Its origins date back to the early days of UNIX computing when the C language was being developed in the early 70’s. Endearing to those of us who were C programmers back in the