A generic method to monitor completeness and speed of medical documentation processes

Methods Inf Med. 2012;51(3):252-7. doi: 10.3414/ME09-01-0085. Epub 2011 Sep 14.

Abstract

Background: Physicians dedicate approximately a quarter of daily work to documentation. Completeness and speed of medical documentation processes are important parameters, because they can affect quality of healthcare.

Objectives: A generic method to monitor these quality parameters is proposed and its utility is demonstrated in two examples.

Methods: Based on a generic event-driven process chain of a medical documentation process, completeness functions for created and finalized documents (available versus required documents by time) are defined. The 95%-quantile of process time is applied as performance indicator of documentation speed. A plotting function for these parameters is provided: completeness and speed of medical documentation (CSMD)-plot. Open source code and a sample data set are available in the Supplement.

Results: This methodology is applied to analyze the effect of an electronic dictation system on discharge letter documents. CSMD-plot detects significant differences regarding speed and completeness of the process before and after implementation of electronic dictation; in addition, it pinpoints differences regarding these quality parameters in documentation processes between different clinical departments. In a second example, CSMD-plot is used to analyze follow-up documentation of a clinical trial. Due to its generic design, CSMD-plots can be applied to other medical documentation processes such as order-entry processes.

Conclusions: Monitoring of completeness and speed of medical documentation is feasible and can provide quantitative information on these processes.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Documentation / methods*
  • Efficiency
  • Efficiency, Organizational*
  • Humans
  • Medical Informatics
  • Medical Records Systems, Computerized / instrumentation*
  • Patient Discharge
  • Quality of Health Care
  • Statistics as Topic
  • Task Performance and Analysis
  • Time