Final HIPAA e-transaction regs published by DHHS

Article

Final HIPAA e-transaction regs published by DHHSThe final HIPAA rules on transaction standards were published by the U.S. Department of Health and Human Services on Aug. 17, after being signed by Secretary Donna Shalala on July 26. Located at

Final HIPAA e-transaction regs published by DHHS

The final HIPAA rules on transaction standards were published by the U.S. Department of Health and Human Services on Aug. 17, after being signed by Secretary Donna Shalala on July 26. Located at

http://aspe.hhs.gov/admnsimp/final/txfin00.htm

, the rules put into place national standards for eight types of electronic transactions, including claims submission, eligibility verification, referral authorizations, and coding for diagnoses. They will become effective 60 days after publication, and most healthcare organizations will have 24 months thereafter to comply. However, if privacy standards are delayed, a provision in the final transaction rules states that they can be suspended or revoked

A flurry of new product releases coincided with the DHHS’ publication of the final HIPAA regs, and not just by security and systems vendors. Market research firms such as the Gartner Group and First Consulting Group have also launched new tools and related products designed to help organizations comply with the HIPAA rules.

Recent Videos
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
A Closer Look at MRI-Guided Adaptive Radiotherapy for Monitoring and Treating Glioblastomas
Incorporating CT Colonography into Radiology Practice
What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk
What New Interventional Radiology Research Reveals About Treatment for Breast Cancer Liver Metastases
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Related Content
© 2025 MJH Life Sciences

All rights reserved.