Every healthcare leader will try and ensure that they’ve done everything possible to ensure their data analysts can be as effective as possible. But all too often, that’s simply not the case because analysts don’t always have access to the right tools. Most of the analysts spend managing data — not analyzing it. The goal of every analyst is to put his analytical skills to use to help solve the many thorny problems healthcare organizations face. Instead, he spends most of his day gathering data, validating my methods of data acquisition, reformatting, ensuring appropriate data types, trimming, cleaning, scrubbing, and conforming data in preparation for analysis and reporting.
Stages of Transforming Raw Data into Meaningful Analytics
People, processes, and devices produce data. More than any other single factor, an analyst’s job is impacted by the way these three entities produce and capture data. People, processes, and devices are responsible for the data’s appropriateness (correctness of data capture), discreteness (capture data in the right format), and how easy it is for analysts to extract the data (accessibility of the data captured).
Amaze will work with the Client and identify
1. The key elements to acquire
2. Design methodology to ensure data quality
3. Methods to integrate data capture into operational workflow.
Amaze is experienced in collating data from multiple source systems from across the organization. For example, to help a team of clinicians work through a quality improvement issue, Amaze provides
Amaze will work with the Client and identify
• EMR data (for clinical observations and lab results)
• Billing data (to help identify cohorts using diagnosis and procedure codes and charges and revenue)
• Cost data (to view the improvement’s impact on margins)
• Patient data
With this consolidated data, Amaze can produce meaningful insights.
Once the appropriate data has been captured, pulled into a single place, and tied together, Amaze will begin the data analysis. We can break the analysis process into the following sections:
• Data quality evaluation
• Data discovery:
• Interpretation & Presentation
Performing billing operations in any revenue cycle management process requires you to efficiently manage the various documents that are used to complete each process step. From Patient Demographic information that denotes the start of the billing process to the capture of payments from Insurances or Patients that represents the end of the Revenue Cycle Management process, you need to manage your documents efficiently and exercise controls to ensure completion of each step. FlowMaze© Workflow Manager helps you do just that and more!
HCC CODING SERVICES
Amaze offers a team of AAPC and AHIMA certified experts in HCC Coding to maximize the reimbursement. HCC coding review process is performed by our experienced members by utilizing the comprehensive record reviews. With the sound background of Paramedical bachelor's and Master's degree, our HCC coders have strengthened their proficiency in the ICD-9 CM guidelines and CMS data validation audit requirements will report the right HCC codes to ensure precise HCC coding outputs. The extensive clinical skills along with HCC coding expertise at Amaze results in the discovery of new and incremental HCC codes by keeping abreast of the latest coding updates in the industry. We maintain a constant education and communication to our Physicians on the documentation deficiencies and subsequently preventing the missed opportunities. They adhere to HIPAA guidelines and ensure that the medical data and records they deal with are secure and confidential. Our clients enjoy significant cost savings to about 40% through our global delivery methodology
INTERNATIONAL CLASSIFICATION OF DISEASES (ICD)
The International Classification of Diseases (ICD) is the standard diagnostic tool for epidemiology, health management and clinical purposes. ICD is used by physicians, nurses, other providers, researchers, health information managers and coders, health information technology workers, policy-makers, insurers and patient organizations to classify diseases and other health problems recorded on many types of health and vital records, including death certificates and health records.
REVENUE CYCLE MANAGEMENT (RCM)
• Patient Demographic Capture
• Insurance Eligibility Verification
• Claims Submission
• Medical Billing and Coding
• Payment Posting
• Accounts Receivables and Denial Management
A Digital Library (also referred as digital repository) is a collection of digital objects that can include text, visual material, audio material, video material, stored as electronic media formats, along with means for organizing, storing, and retrieving the files and media contained in the library collection.
DOCUMENT MANAGEMENT SYSTEM (DMS)
DMS is a computer software which is used to archive and retrieve the documents and enables reducing in document searching time though indexing and text search. This may also help in setting up a paperless office supporting "Go Green". Role based security can also be applied to every document type to protect the documents from unauthorised access.
DOCUMENT SCANNING & INDEXING
Document scanning is a process done using high speed automatic scanners for conversion of physical documents into electronic formats. Indexing is capturing of data for archival and retrieval
An e-book or a Digital book is a book electronic format like pdf, iBook, html, xml, epub, Kindle, .mobi