ConOrtho™ documents and analyzes the data of orthopedic patients, including foot and ankle, spine, Hip and knee preservation, knee reconstruction, musculoskeletal oncology, elbow and shoulder, hand and wrist, sports injury, pediatrics, and trauma patients! New patients show up in the office with their comorbidities, history, medications, required questionnaires, e.g., KOOS, HOOS, PROMIS, etc., and any other relevant information already populated in the consultation note! Stored patient comorbidities automatically propagate to new encounters and calculate Charlson & Elixhauser Comorbidity Indices. Consultation, admission, operative, discharge, and follow-up notes are automatically generated from examination, preoperative, intraoperative, and postoperative discrete data with user-defined templates and voice recognition. Continuous monitoring of patient compliance by applying user-defined follow-up-protocols Tracking implants and procedure consumables using a barcode reader. Support of clinical classifications and coding standards, including ICD10 CM, ICD10 PCS, SNOMED CT, RxNorm, LOINC, and NDC. The external Registry module is used to submit data on different patient groups to national registries. DICOM image storage and viewer with optional PACS interface. Built-in statistical wizard with multiple dashboards for score analysis, endpoint statistics, implant complications, procedures wait-time analysis, and many more. The statistical analysis includes models like survival analysis, Cox regression, stepwise logistic regression, ROC, ANOVA, and other models. Data can be exported to external applications for any other purpose. Advanced granular security will be used to ensure authorized staff access to ePHI. Built-in audit system with instant display of who did what and when and all other users’ activities.

ConOrtho™ can be used to automate the collection of patients' reported outcome measures (PROMs) ConOrtho™ can also be used as a comprehensive outcome analysis of orthopedic patients. An HL7 interface with the hospital EMR, e.g., EPIC, is beneficial for automating data collection.