ConEHR Hip & Knee


ConEHR Hip & Knee captures and analyzes the data of hip & knee patients including preservation and replacement procedures. 

  • 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!
  • Patient comorbidities propagates to new patient encounters and calculates Charlson & Elixhauser Comorbidity Indices.  
  • Consultation, admission, operative, discharge, and follow-up notes are automatically generated from examination, preoperative, intraoperative and postoperative discrete data with support of user defined templates and/or voice recognition.
  • Built-in support of coding standards including CPT, ICD10 CM, ICD10 PCS, SNOMED CT, RxNorm, LOINC, NDC 
  • Continuous monitoring of patient compliance applying user defined follow-up-protocols
  • Tracking implants and procedure consumables using barcode reader
  • External Registry module to submit data of different patient groups to national registries like AJRR, CJRR.
  • DICOM image storage and viewer with optional PACS interface.
  • Interactive diagrams to document segmental changes over time as in Gruen Zones of hip implants, acetabular labrum and articular cartilage in hip dysplasia.
  • Built-in statistical wizard with multiple dashboards for score analysis, endpoint statistics, implant complications, wait time analysis and many more. The statistical analysis includes models like survival analysis, Cox regression, stepwise logistic regression, ROC, ANOVA and other models.
  • ConEHR enables instant analysis of variables against end points as in impact of Type II diabetes on incidence of periprosthetic fractures or infection. ConEHR supports adding user defined variables and endpoints as needed.   
  • Data can be exported to external applications for any other purpose.
  • Advanced granular security to ensure access to ePHI by authorized staff.
  • Built in audit system that instantly displays users activities and data changes.