Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jul 17, 2026

A Semi-automated Approach to Preparing Antibody Cocktails for Immunophenotypic Analysis of Human Peripheral Blood

A Semi-automated Approach to Preparing Antibody Cocktails for Immunophenotypic Analysis of Human Peripheral Blood

Published on: February 8, 2016

Automated coding software: development and use to enhance anti-fraud activities.

Jennifer H Garvin¹, Valerie Watzlaf, Sohrab Moeini

¹Center for Health Equity Research and Promotion, Philadelphia VA Medical Center, Philadelphia, PA, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|January 24, 2007

Summary

This study identified features of automated coding systems that can detect and minimize fraud in electronic health records (EHR). Recommendations are provided for developers and users to enhance anti-fraud measures.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

AI Privacy and Security in Healthcare: A Systematic Literature Review.

International journal of telerehabilitation·2026

Same author

Empowering educators: AI literacy as a catalyst for competency-based health information training.

Health information management : journal of the Health Information Management Association of Australia·2026

Same author

Assessing Artificial Intelligence Literacy: What do Health Information Professionals Know about AI?

Advances in health information science and practice·2025

Same author

An examination of ambulatory care code specificity utilization in ICD-10-CM compared to ICD-9-CM: implications for ICD-11 implementation.

Journal of the American Medical Informatics Association : JAMIA·2025

Same author

A mixed-methods study of autistic adults' healthcare independence over time.

Health care transitions·2024

Same author

Improvement of the oxidative stability of instant fried noodles using free and microencapsulated borage (<i>Echium amoenum</i>) and black hollyhock (<i>Altaea rosea</i> var <i>nigra</i>) extracts.

Food science & nutrition·2024

Area of Science:

Health Informatics
Medical Coding Systems
Healthcare Fraud Detection

Background:

Automated coding systems are increasingly used with electronic health records (EHR).
Ensuring the accuracy and integrity of medical coding is crucial for healthcare reimbursement and compliance.
Improper or fraudulent coding practices pose significant financial and regulatory risks.

Purpose of the Study:

To identify characteristics of automated coding systems capable of detecting improper or fraudulent coding.
To develop recommendations for software developers and users to enhance anti-fraud practices in automated coding.

Main Methods:

Descriptive research methodology.
Analysis of automated coding system features relevant to fraud detection.

More Related Videos

An Open-Source Framework for Mass Calculation of Antibody-Based Therapeutic Molecules

An Open-Source Framework for Mass Calculation of Antibody-Based Therapeutic Molecules

Published on: June 16, 2023

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

Related Experiment Videos

Last Updated: Jul 17, 2026

A Semi-automated Approach to Preparing Antibody Cocktails for Immunophenotypic Analysis of Human Peripheral Blood

A Semi-automated Approach to Preparing Antibody Cocktails for Immunophenotypic Analysis of Human Peripheral Blood

Published on: February 8, 2016

An Open-Source Framework for Mass Calculation of Antibody-Based Therapeutic Molecules

An Open-Source Framework for Mass Calculation of Antibody-Based Therapeutic Molecules

Published on: June 16, 2023

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

Development of actionable recommendations.

Main Results:

Identified key characteristics of automated coding systems that can detect and minimize improper coding.
Highlighted the potential of specific system features to prevent fraudulent coding practices.
Established a basis for improving the anti-fraud capabilities of coding software.

Conclusions:

Automated coding systems possess inherent characteristics that can be leveraged for fraud detection and prevention.
Collaborative efforts between software developers and users are essential to maximize anti-fraud measures.
Implementing identified characteristics and recommendations can significantly reduce improper and fraudulent coding in EHR settings.