MedAptus' Decision Support module is powerful and versatile, providing practice administrators, executives and physicians with real-time data analysis and reporting functionality that leverages captured procedure and diagnosis code data, as well as demographic and visit-related data elements.

Benefits - Decision Support is a reporting tool that leverages the value of data submitted via Professional Charge Capture. Even though the system runs on information that some might view as purely related to billing, tremendous insight around clinical, coding and operational patterns can be achieved by analyzing data that would otherwise remain untapped.

Select Features - Approximately 20 different categories reports are available to users, including physicians, administrative personnel and group leadership. Reports are generated off of real-time data and can be customized many different ways depending on the type of report selected and overall need.

How it Works - Decision Support is only available to users of Professional Charge Capture. Depending on customer system configuration, the tool may be installed on-site, or reports may be requested as a service from MedAptus. Decision Support utilizes submitted charge data as well as associated provider, group and location information, to generate meaningful analysis.

MedAptus’ Decision Support module translates discrete encounter data into actionable information, providing valuable insight around meaningful revenue cycle components. Usage of the tool also supports organizational initiatives around pay-for-performance, quality of care, and outcomes improvement, which are becomingly increasingly important in how payers and Medicare determine reimbursement.

• Identifies clinician coding patterns that might pose downstream compliance issues
• Can assist with disease-specific outcomes and quality of care improvement projects
• Aids in the analysis of productivity, both clinician and coder
• Particularly relevant to inpatient settings given how crucial it is to monitor length-of-stay relative to certain conditions and procedures

The MedAptus Decision Support system includes approximately 20 categories of reports - clinical, coding and operations. Given this broad reach, there are a number of different uses depending on individual or organizational needs. For example, one clinician may wish to assess any resulting complications from an experimental procedure, while another may be studying age and gender characteristics of a chronic illness.

As for coding related reports, administrators benefit from analysis of clinician coding trends – who might be overcoding evaluation and management codes as well as who might be defensively downcoding such visits. This data, analyzed over time as opposed to one or two discrete encounters, allows for proper education of clinicians to improve coding accuracy.

The last general category of available reports is that of operations. From assessing coder productivity around charge review and approval, to understanding clinician RVU trends and missing charges, this series of reports was created to help groups operate efficiently and manage resources accordingly. Real-world uses of this data include redeploying administrative staff, creating clinician staffing models to support practice expansion, and the forecasting of revenue based on charge-related parameters.

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• Real-time execution allows for access to all approved charges, driving accurate and up-to-date analysis
• Easy-to-use menu driven interface that requires little to no staff training
• Allows for report generation across a variety of parameters including rendering clinician, billing group and date range
• Also available as a service from MedAptus for groups interested in short-term access to data, or only a limited number of reports

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The Decision Report module creates reports based on data elements entered in Professional Charge Capture such as procedure and diagnosis code, and encounter date, as well as visit-related information including scheduled physician and location. Most reports generate data in two ways – lists of data such as frequency of codes, or graphical presentation of data such as coding distribution across a group of users.

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