The COVID-19 pandemic has been a catalyst for accelerated investment in the digital health sector worldwide. With current and future strategies surrounding mass deployment and adoption of electronic medical record (EMR) systems, medication management systems (eMeds), patient administration systems (PAS), and laboratory information systems (LIS), the immediate connectivity between a company’s medical device, or instrument, and …
Do you worry about Internet hackers gaining access to your blood pressure monitor? Can they view your readings, or, worse, alter your readings to make you think all is fine, when it really is not? You may rest easier in knowing that manufacturers of medical devices are striving to meet the cybersecurity guidance set forth …
I’ve never lived outside of Indiana before and had only visited San Diego twice, but when I heard the plans for a West coast office, I was terrified! But the more I thought about it, the better it sounded. I was still (relatively) young, no wife or children to transplant, and it felt like the kind of shake up I needed.
Does blockchain have a role in transforming healthcare? The focus of this article is to offer a few objective thoughts about this question as well as to provide a few use cases for which blockchain might be used in healthcare
Internships are a very interesting part of the college education experience. While they are not mandatory, I was told that they are the key to success for one’s future career. Hearing that two years ago, as an incoming freshman, definitely put some stress onto my shoulders.
The medical industry has a wide array of applications for image acquisition and processing. While the most common types are X-ray, MRI, and ultrasound images, applications can benefit patients in lesser-known areas, as well. From early tooth decay detection, to cell identification using microscopy images, medical device image processing is a vital part of quality healthcare.
Recently I took on a part-time position as a mentor for code camp students. The mentoring is performed 100% remotely and takes me 5-6 hours per week. This fairly small investment of time has yielded me a wealth of experience and learning opportunities.
The FDA has released a discussion guideline and request for feedback regarding changes in the certification process for medical device software that uses artificial intelligence and/or machine learning – see https://www.fda.gov/media/122535/download. This blog post explores what this FDA document means to companies who are involved in writing medical device software.
The FDA “General Principles of Software Validation” was written in 2002 – well before the era of pervasive use of cloud computing. However, this FDA document was written in such a way that it can be applied to use of cloud computing tools that are part of a medical device or that are used in the development of medical device. This blog post explores approaches to validating cloud computing tools.
The RND Group created a custom solution for one of our clients that integrates the instrument software with Laboratory Information Systems (LIS). The solution we developed for our client improves productivity, reduces clinical errors, and is part of the client’s FDA medical device software solution. In this blog we outline the challenges faced and how we achieved success.