Understanding the value of data analytics in HTM
Endroit courant :
> This Story

Ouverture ou Registre to rate this News Story
Forward Printable StoryPrint Comment




HTM Homepage

Where’s the value in a strong medical physicist / biomedical engineer relationship? Thomas J. Petrone explains why it matters

Margin crunch? Opportunities for clinical engineering to cut expenses and grow revenue Insights from Samantha Jacques

Discussing battery issues with biomedical technicians Insights from Isidor Buchmann, founder and CEO of Cadex Electronics Inc.

How can OEMs and in-house service teams work better together? Experts from both sides get together and share their views at AAMI

Understanding 'data cleaning' in equipment service, and the tools used to do it Acquiring data is only the beginning, insights from AAMI

EQ2 showcases advancements and new products at AAMI Exchange Added data analytics, supply chain management and tracking capabilities

GE adds multi-vendor parts and new functions to online Service Shop Showcased at AAMI Exchange

Tips for creating better collaboration between HTM and IT Streamlining these increasingly complex partnerships

AAMI Product Showcase A sneak peek at some of the products to check out on the show floor

Clinical engineering and the science of the capital budget process Purchasing insights from the experts at MD Buyline

HTMs lay out uses and advantages
of data analytics for purchasing
and maintaining equipment

Understanding the value of data analytics in HTM

par John R. Fischer , Staff Reporter
From internal training to deciding which devices to continue supporting and which to retire, HTMs face a variety of tasks in their line of work that depend on access to the appropriate data. Finding, organizing and managing this information can be a challenge. Data analytics, a tool for extracting useful insights from data, continues to grow in popularity among providers who are seeking to complete these tasks with greater efficiency, while minimizing cost, time and risks to patients.

It is this rising interest which prompted the formation of a three-person panel this weekend at the 2019 AAMI Exchange in Cleveland. The three took the time to explain how HTM programs can properly set up, use and benefit from data analytics in their daily routine, with all agreeing that the first step was to establish benchmarks as a basis for data analysis, such as service cost, end-of-life, date of purchase, and risk. Doing so requires communication from all hospital programs.

Story Continues Below Advertisement

Servicing GE, Philips and Siemens CT equipment with OEM trained engineers

Numed, a well established company in business since 1975 provides a wide range of service options including time & material service, PM only contracts, full service contracts, labor only contracts & system relocation. Call 800 96 Numed for more info.

“Build a relationship with the departments — your lab, OR, oncology, any area where you may feel challenged. Build that trust, get that information, and start putting the information into your database,” said Makidah Mahdi, director of clinical engineering at Henry Ford Health System. “You need to understand the total cost of ownership for every single asset you have in your inventory. After you start capturing that information, you have to come up with a benchmark and a service cost ratio for every single asset you have.”

Once metrics are established, it is important to prioritize them to identify and communicate issues and matters that require the most urgency or hold great significance. One example is decisions around purchasing new pieces of equipment, which require relaying information such as utilization rates, age and lifespan data with leaders and teams in their healthcare system, as well as other stakeholders.

“The data that we keep now is excessive and needs to be used. We should be the drivers of a lot of these equipment purchasing decisions,” said Joseph A. Haduch, senior director of BioTronics for University of Pittsburgh Medical Center. “Are analytics the be all and end all of equipment you purchase? No, but they ought to be. You use that to meet with the clinical teams, your finance people, your facility people, to show quantitatively what the equipment should be replacing.”

Data analytics can be used for a variety of tasks, including determining the best engineers to receive training for work on certain devices, or assessing utilization, abuse and misuse of equipment to figure out if a piece of equipment should be retired early.
  Pages: 1 - 2 >>

HTM Homepage

You Must Be Logged In To Post A Comment