Abstract: Technologies for summarizing tax documents that include an unstructured portion, such as K1 filings. The system extracts data from both the structured information, such as a K1 facepage, and unstructured information, such as whitepaper statement(s). The system includes machine learning model(s) to determine the information to be extracted from the unstructured information. The machine learning model(s) generate a confidence level associated with the extracted unstructured information that represents a prediction on how likely the extracted unstructured information was accurately extracted. The system generates a document in an electronic interchange format that represents both the structured and unstructured information in the analyzed tax document.

Abstract: A computerized system and method for health care facilities to reduce manual handling of at least some open account issues. The system provides healthcare facilities with the ability to resolve current open patient account issues by utilizing the data patterns from a facility's historical patient account transaction activity, to create a machine learning model that can predict resolutions to the open accounts. These patterns are then applied to a facility's current transaction data providing next step resolution to each patient account.

Abstract: A computerized system and method for health care facilities to reduce manual handling of at least some open account issues. The system provides healthcare facilities with the ability to resolve current open patient account issues by utilizing the data patterns from a facility's historical patient account transaction activity, to create a machine learning model that can predict resolutions to the open accounts. These patterns are then applied to a facility's current transaction data providing next step resolution to each patient account.

Abstract: Technologies for summarizing tax documents that include an unstructured portion, such as K1 filings. The system extracts data from both the structured information, such as a K1 facepage, and unstructured information, such as whitepaper statement(s). The system includes machine learning model(s) to determine the information to be extracted from the unstructured information. The machine learning model(s) generate a confidence level associated with the extracted unstructured information that represents a prediction on how likely the extracted unstructured information was accurately extracted. The system generates a document in an electronic interchange format that represents both the structured and unstructured information in the analyzed tax document.