ConOrtho™
Features- ConOrtho™ documents and analyzes the data of orthopedic patients, including foot & ankle, spine, Hip & Knee preservation and reconstruction, musculoskeletal oncology, elbow and shoulder, hand & 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. User-defined templates, macros, and voice recognition are supported.
- 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 to ensure access to ePHI only by authorized staff.
- Built-in audit system with instant display of who did what and when and all other users’ activities.
Reliability- 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.
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