Automated data aggregation with file analysis and predictive modeling

A method comprising:

• generating an aggregated data form comprising surgical preference data, wherein the aggregated data form identifies a plurality of medical items, and wherein the aggregated data form is associated with a surgeon, a facility, and a surgery type;
• electronically communicating with an inventory management solution associated with the facility to retrieve inventory data for the plurality of medical items;
• providing the aggregated data form and the inventory data to a machine learning algorithm;
• receiving from the machine learning algorithm an amendment suggestion for the aggregated data form, wherein the amendment suggestion comprises one or more of:
• an amendment to a quantity of a first medical item of the plurality of medical items;
• an identity of a first product satisfying the first medical item;
• or
• an addition of a second medical item not included in the plurality of medical items of the aggregated data form;
• wherein the machine learning algorithm is trained on the inventory data and further on a plurality of aggregated data forms associated with one or more of the same surgeon, the same facility, or the same surgery type.