Medicare law backdating documentation validating identity and d link

10-Mar-2018 02:05

Since these documents are often used and exchanged, the importance of accurate and quality documentation in EHR systems is critical.EHRs have created tremendous changes in the provider’s workflow and documentation process.Organizations using voice recognition without a validation step in place are experiencing significant data quality problems and documentation errors.Organizations should have in place a process to ensure providers review, edit, and approve dictated information in a timely manner.Organizations must develop policies designed to address inappropriate use of these tools to minimize non-compliance.Common documentation risks that can result from cloning features include: Providers must recognize that every patient is unique and must ensure that the health service provided is documented distinctly from all others.Documentation templates can play an important role in improving the efficiency of data collection, ensuring all relevant elements are collected in a structured format.

medicare law backdating documentation-57

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EIM is defined as the infrastructure and processes that ensure information is trustworthy and actionable.” The multitude of federal and state health information exchange initiatives are making information governance and the integrity of EHRs more challenging every day.

The provider must understand the necessity of reviewing and editing all defaulted data to ensure that only patient-specific data for that visit is recorded, while all other irrelevant data pulled in by the default template is removed.

For example, the automatic generation of common negative findings within a review of systems for each body area or organ system may result in a higher level of service delivered, unless the provider documents any pertinent positive results and deletes the incorrect auto-generated entries.

Use of these features without appropriate management and guidelines, however, may create information integrity concerns such as invalid auto-population of data fields and manufactured documentation aimed to enhance expected reimbursement.

Processes must be in place to ensure the documentation for the health information used in care, research, and health management is valid, accurate, complete, trustworthy, and timely.There are a number of existing rules and regulations on documentation principles and guidelines that primarily address documentation authorship principles, auditing, and forms development in a paper health record.New guidelines are being sought by the healthcare industry that ensure and preserve documentation integrity in an age of electronic exchange and changes in the legal evidentiary requirements for electronic business and health records.Established policies and procedures such as audit functions must be in place to ensure compliant billing.