Accurate assessment of technologies still is the heart of leaders’ tasks
Accurate assessment of technologies still is the heart of leaders’ tasks
Publish Date: 2026-03-20 14:43:00
Source Domain: www.healthdatamanagement.com
Success or failure can fluctuate on a variety of factors, and magical thinking won’t make just any technology work in every instance.
Mar 20 26
Fred Bazzoli
Editor in Chief
Yesterday, I woke up to a snowplow growling down our street scraping away at a mid-March snowfall.
Today, I’ll be cutting short a long run because it’s a bit too hot to attempt a hard workout.
Ah, and that’s life in the Chicago area around the spring equinox. Every day is a surprise, and the watchword is flexibility. You can’t lock in on what your expectations are – going with the weather flow is indispensable if you’re going to manage life here.
It’s not much different in dealing with emerging technology in healthcare. Some presuppositions need to be put to the side – at least for the time being – while health leaders should be quick to implement approaches that are proven to work, can gain widespread support and yield real results.
This week, articles published by Health Data Management underscored the need for flexibility in making technology decisions, with some applications showing significant results while other potential uses requiring a wait-and-see approach.
Technology that can work
A targeted approach can make solid use of artificial intelligence in improving components of the revenue cycle, writes Ken Poray, CEO of Integrex Health and Chair of the AI Community of Practice at the American College of Health Data Management.
Poray notes that an orchestration layer, directing a team of four “specialist agents” can help an organization improve efforts to manage national provider identifier challenges. A coordinated approach can help speed the process and enable better specificity in communication with clients.
There’s also hope for enlisting clinical data in life sciences research, as long as certain capabilities exist in multi-cloud systems to handle the increasing volume, speed and diversity of data, writes Selvamurugan Ramamoorthy, a data engineering and…
