The aggregation of data is an often assumed part of the analytic process. Proper aggregation of data requires a clear definition of concepts, the purpose of the aggregation and the parameters that drive inclusion or exclusion of data elements. Aggregation of data relative to disease concepts must be based on a shared understanding of the medical focus, and a consensus on what should or should not be included. This requires medical knowledge and transparency of process to all potential information users. Without clarity of how data was aggregated, analysis cannot result in values that are meaningful and consistent to those who may take actions to improve healthcare outcomes, minimize patient clinical and financial risk and improve the quality of the patient healthcare experience. This presentation will shed a light on the challenges, requirements and opportunities for data aggregation that can provide the quality information needed to guide meaningful action to improve healthcare delivery.
- Understand the role of data aggregation in the process of creating high quality information
- Identify key challenges in the aggregation of medical concepts
- Define the requirements for data aggregation that results in a shared understanding of any analysis.
- Identify steps to apply a consistent process to transparently arrive at the right aggregation for the right purpose.
Speaker: Joseph C. Nichols, MD, President: Health Data Consulting Inc
Dr. Joe Nichols, principal of Health Data Consulting Inc, is a board certified Orthopedic Surgeon by training. After 16 years in active practice, he has been involved full time in health care information technology for the past 20 years. He has given over 250 presentations nationally related to healthcare data, ICD-10 and clinical documentation improvement on behalf of CMS, payers, providers, and a wide variety of other healthcare entities. He has extensive experience in electronic data interchange, claims processing and data analytics and has been has received 5 awards of excellence from the Workgroup for Electronic Data Interchange (WEDI) where has co-chaired the sub-workgroup on coding and translation. He is also an AHIMA approved ICD-10 coding trainer.
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