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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Modeling in Therapy01:26

Modeling in Therapy

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Data Collection III

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Persuasion Strategies01:52

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Researchers have tested many persuasion strategies, including the foot-in-the door and the door-in-the-face techniques, in a variety of contexts. Ultimately, the principles are effective in selling products and changing people’s attitude, ideas, and behaviors (Cialdini & Goldstein, 2004).
Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...

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Related Experiment Video

Updated: Jul 3, 2026

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

Best practices for self-pay collections.

Tina Eller1

  • 1SearchAmerica, Maple Grove, Minn., USA. tina.eller@searchamerica.com

Healthcare Financial Management : Journal of the Healthcare Financial Management Association
|July 22, 2008
PubMed
Summary
This summary is machine-generated.

Hospitals can enhance patient account collections by segmenting patients into four groups based on balance and payment likelihood. Tailored collection strategies improve financial recovery for healthcare providers.

Related Experiment Videos

Last Updated: Jul 3, 2026

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

Area of Science:

  • Healthcare Management
  • Financial Operations
  • Patient Accounts Receivable

Background:

  • Effective collection of patient accounts is crucial for hospital financial health.
  • Traditional collection methods may not be optimal for diverse patient financial situations.

Purpose of the Study:

  • To propose a patient segmentation strategy for optimizing hospital account collections.
  • To identify distinct patient segments based on balance and payment likelihood.

Main Methods:

  • Categorization of patients into four segments (A, B, C, D).
  • Segmentation criteria include account balance (low/high) and likelihood of payment (low/high).

Main Results:

  • Segment A: High payment likelihood, low balances.
  • Segment B: High payment likelihood, high balances.
  • Segment C: Low payment likelihood, high balances.
  • Segment D: Low payment likelihood, low balances.

Conclusions:

  • Tailoring collection efforts to these four patient segments can improve hospital revenue cycle management.
  • Implementing a segmented approach allows for more efficient resource allocation in collections.