An automatic female pelvic medicine and reconstructive surgery registry and complications manager developed in an electronic medical record

Female Pelvic Med Reconstr Surg. 2014 Nov-Dec;20(6):302-4. doi: 10.1097/SPV.0000000000000124.

Abstract

Objectives: The aim of this study is to incorporate a structured clinical documentation system (SCDS) into the electronic medical record (EMR), allowing for automatic flow of clinical data into an enterprise data warehouse (EDW) and clinical registry.

Methods: The SCDS programming was developed within inpatient and ambulatory EMR domains, allowing routine documentation in these settings to trigger data flow into an EDW. An extensive set of clinical outcomes was included, focusing on data points likely to exist in the forthcoming American Urogynecologic Society Pelvic Floor Disorders Registry. An electronic complications manager was developed to link immediate and/or delayed complications to the index surgery, allowing for accurate morbidity tracking.

Results: All aspects of EMR documentation were successfully reconfigured for charting in both inpatient and office settings. Clinicians transitioned to clinical documentation such that no additional data entry beyond routine charting was required, and this resulted in data flow into the EDW. Physician feedback led to the refinement of SCDS entry fields.

Conclusions: This SCDS system allows for automatic flow of a comprehensive data set from our EMR into an EDW and registry. It also provides the ability to systematically track complications and longitudinal clinical outcomes. Integrated systems may eliminate barriers associated with free-standing registries including those relating to cost, maintenance, data integrity, and consistent clinician participation. In addition, it should improve ascertainment of a complete patient population in comparison to voluntary registries.

MeSH terms

  • Automation*
  • Documentation
  • Electronic Health Records / organization & administration*
  • Female
  • Gynecologic Surgical Procedures / statistics & numerical data*
  • Humans
  • Postoperative Complications*
  • Registries*