Automated Coding Software: Development and Use to Enhance Anti-Fraud Activities
نویسندگان
چکیده
This descriptive research project identified characteristics of automated coding systems that have the potential to detect improper coding and to minimize improper or fraudulent coding practices in the setting of automated coding used with the electronic health record (EHR). Recommendations were also developed for software developers and users of coding products to maximize anti-fraud practices.
منابع مشابه
Curriculum Development: A Master's Degree Program in Anti- Fraud and Forensic Accounting
The increase in white collar and financial corruption caused the accountant to be equipped with forensic accounting skills. In order to include the issues of Anti-fraud and forensic accounting in the curriculum of educational institutions and universities, it is necessary to conduct a Careful review of the knowledge, skills and abilities necessary for those who want to acquire knowledge and s...
متن کاملProtecting internet users from becoming victimized attackers of click-fraud
Internet users are often victimized by malicious attackers. Some attackers infect and use innocent users’ machines to launch large-scale attacks without the users’ knowledge. One of such attacks is the click-fraud attack. Click-fraud happens in Pay-Per-Click (PPC) ad networks where the ad network charges advertisers for every click on their ads. Click-fraud has been proved to be a serious probl...
متن کاملCompressed Domain Scene Change Detection Based on Transform Units Distribution in High Efficiency Video Coding Standard
Scene change detection plays an important role in a number of video applications, including video indexing, searching, browsing, semantic features extraction, and, in general, pre-processing and post-processing operations. Several scene change detection methods have been proposed in different coding standards. Most of them use fixed thresholds for the similarity metrics to determine if there wa...
متن کاملMEFUASN: A Helpful Method to Extract Features using Analyzing Social Network for Fraud Detection
Fraud detection is one of the ways to cope with damages associated with fraudulent activities that have become common due to the rapid development of the Internet and electronic business. There is a need to propose methods to detect fraud accurately and fast. To achieve to accuracy, fraud detection methods need to consider both kind of features, features based on user level and features based o...
متن کاملSustainable Development in Iran’s Oil Industry through Environmental Friendly Marketing Activities
This research investigates the main factors that influence green marketing in Iran’s oil industry that can result in sustainable development, based on expertschr('39') opinions. The methodology of this research is grounded in theory and adopts a qualitative research approach. We use semi structural deep interviews to collect our data. We analyze the data using three stages of coding: open, ax...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- AMIA ... Annual Symposium proceedings. AMIA Symposium
دوره شماره
صفحات -
تاریخ انتشار 2006