Artificial Intelligence (AI) is Not Ready for Prime Time in Healthcare, Yet

Sometimes we read what others are saying and, because we want it to be true, we imagine it is true. It’s important to break down false promises and inaccurate information about Artificial Intelligence (AI). Healthcare has not even begun to realize the potential of AI, as we are merely at the infancy stages of applyingContinue reading “Artificial Intelligence (AI) is Not Ready for Prime Time in Healthcare, Yet”

Robotic Process Automation is not Artificial Intelligence.

Hospitals and healthcare organizations face ongoing challenges with process efficiencies and the need to accomplish more with reduced margins. We think it’s important to do a deeper dive into some of the things Robotic Process Automation (RPA) is, and what it’s not. It’s not Artificial Intelligence (AI). As much as some vendors want to attachContinue reading “Robotic Process Automation is not Artificial Intelligence.”

Boston WorkStation Automates COVID-19 Lab Result Reporting Required by HHS

Today we are facing a global crisis. It’s time to leverage the power of technology resources. Boston WorkStation’s lab reporting automation platform was built for this. A letter was sent to all hospitals Sunday requesting that they report their COVID-19 testing data to HHS on a daily basis. This applies to hospitals with in-house labs.Continue reading “Boston WorkStation Automates COVID-19 Lab Result Reporting Required by HHS”

How Technology and Data Science Are Used to Fight a Pandemic

In a global pandemic such as COVID-19, technology, artificial intelligence, and data science have become critical allies in helping societies deal effectively with ramifications of an outbreak. There are smart devices that help diagnose fevers in communities, antimicrobial textiles that help destroy bacteria on hospital gowns and scrubs, drones and chatbots to help with deliveryContinue reading “How Technology and Data Science Are Used to Fight a Pandemic”

Transforming the Health System with Automation – Where to Start in 2020

Healthcare is always in need of help. We thought EHR was going to be a panacea for record keeping, and in many ways it was an excellent concept, yet one fraught with workflow inefficiencies and alerts that made no sense to clinical users. Next came HIE, also a great concept. Having access to relevant, up-to-dateContinue reading “Transforming the Health System with Automation – Where to Start in 2020”

Zeroing In On Claim Denials with RPA

Hospital leaders understand that it’s difficult to get claims out the door in the revenue cycle, but especially difficult to prevent claim denials. The complexity of revenue cycle management makes it hard for providers and healthcare organizations to identify the root causes beforehand. It’s a time consuming, administrative burden that is made easier with RoboticContinue reading “Zeroing In On Claim Denials with RPA”

Gaining Support from the C-Suite for Revenue Cycle Optimization

Gaining support from the C-Suite is the first step in optimizing revenue cycle management systems, services, and resources. Revenue cycle leadership should prepare to align the strategic needs of the organization with revenue cycle goals and proposed changes. Gaining buy-in from the C-Suite requires information that illustrates why change is needed, and where gaps canContinue reading “Gaining Support from the C-Suite for Revenue Cycle Optimization”

Looking for Artificial Intelligence and Machine Learning Solutions at HIMSS20?

Leading up to #HIMSS20, the Health IT world is abuzz with the terms Artificial Intelligence (AI) and Machine Learning (ML). In a recent HealthITNews article, Optum stressed, “AI is of paramount concern today.” We see the use of the term AI over 151 times in HIMSS20 sessions, bios, vendors, and solutions. It’s a catch phraseContinue reading “Looking for Artificial Intelligence and Machine Learning Solutions at HIMSS20?”