Skip to content
MarketScale
‹ Back to IndustriesHealthcare

How Data Impacts Collection Performance

“There’s a lot of science behind it,” Selbitschka said. “We’re looking at the portfolio as a whole. So, as the accounts come in, we’re looking at average balance, we’re looking at where the consumer is located, how long the consumer had the services. Were they a continuous payer, where they a one and done? There’s…

This story was produced through MarketScale. See how Healthcare teams put it to work with Executive Thought Leadership.

Share

Get featured

Want to get featured in MarketScale Healthcare?

Create a free MarketScale workspace and get your company's expertise featured across our Healthcare coverage. No credit card, no demo required.

Request an invite

“There’s a lot of science behind it,” Selbitschka said. “We’re looking at the portfolio as a whole. So, as the accounts come in, we’re looking at average balance, we’re looking at where the consumer is located, how long the consumer had the services. Were they a continuous payer, where they a one and done? There’s all that information that goes on behind-the-scenes we look at before we make a phone call.” Utilizing data during this phase provides accurate information upfront and ensures a better return on collections.

Selbitschka said IC System utilizes a data vendor who channels up to eighteen pieces of different information to create a score. This score generates a 5-tier model for IC System’s dialer team to assign penetration rates.

“One of the neatest things about our model is it’s very interactive during the first thirty days,” Selbitschka said. The model factors all of IC System’s communications, contacts, payment arrangements, unsolicited payments, wrong addresses, bad phone numbers, refusal to pay, and consumer interactions, and fluctuates accounts up and down the various tiers. This approach provides- real-time data for the dialers, and it is a competitive advantage over a collection agency using a static credit score to make call decisions.

It’s critical that scoring isn’t a one-way street. IC System generates a score from the consumer as well. That data allows IC System to make continual process improvements and provide consumer satisfaction results to clients.

Your experts belong here

Every story in MarketScale Healthcare starts with a company putting its clinicians, service-line leaders, and field engineers on the record. Buyers are already reading this topic. The only question is whose experts they find.

Service-line buyers vet vendors quietly, and your clinicians become the proof they find while doing it.

Get your team featuredSee how it works15 minutes, straight to a calendar.

Follow Healthcare Insights

Get new expert content in your inbox.

Healthcare: are you visible to AI?

Before they reach out, Healthcare buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Healthcare expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your clinicians, service-line leaders, and field engineers into the articles, video, and social content Healthcare buyers are searching for. Create a free workspace and see it with your own people. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Healthcare Insights

Google’s AlphaGenome Atlas puts billions of DNA variants in reach

AlphaGenome Atlas gives researchers predicted molecular effects for possible DNA changes across the human genome, helping teams prioritize variants for experimental follow-up.

  • 01The Atlas covers roughly nine billion possible single-letter DNA substitutions, according to The Verge.
  • 02Predictions can prioritize research questions but do not establish clinical findings.
  • 03The useful implementation pattern is prediction, study-specific evidence, then validation.

Sep 9, 2026

OpenAI put 10,000 AI agents on Navier–Stokes. Healthcare R&D should pay attention

OpenAI put 10,000 AI agents on Navier–Stokes. Healthcare R&D should pay attention

OpenAI says roughly 10,000 AI agents produced a proposed Navier–Stokes solution in 88 hours, followed by Lean verification. For healthcare and life sciences, the immediate signal is a research workflow built around parallel agents, code execution, provenance and formal checking—not a ready-made clinical simulator.

  • 01OpenAI's result is a proposed proof under review, not a new clinical simulation product.
  • 02The near-term B2B signal is a coordinated research stack combining agents, code and formal verification.
  • 03Healthcare buyers should evaluate provenance, reproducibility, security and cost per validated result.

Sep 9, 2026

Get  checked out

Get checked out

Seeking medical evaluation immediately after a vehicle crash, regardless of how you feel, is essential because adrenaline can mask serious injuries for hours or even up to a full day. A same-day medical visit creates a documented paper trail tied to the accident date, which protects against insurance companies disputing injury claims and denying compensation.

  • 01Feeling fine immediately after a vehicle crash may not accurately reflect one's health condition.
  • 02The body's response to stress can delay the onset of injury symptoms.
  • 03Seek medical evaluation after a crash, even if injuries aren't immediately apparent.

Sep 8, 2026

Explore More Healthcare Insights

Read more expert perspectives from across Healthcare.

Browse Healthcare Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Healthcare and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512