Intelligent split menus for data entry: a simulation study in general practice medicine.

摘要

A compelling notion in menu design is that a few of the most frequently selected items should be placed as a hot list at the top of the menu. A few researchers have explored this type of interface control, known as a split menu, and have investigated the identification of the hot-list items by statistical analysis of past data. We extend the technique to automated development of dynamic hot-lists for entry of medication data in a General Practice setting. Using clinical data from 113,000 visits, a statistical model is developed and evaluated by simulated data entry of cases held back from training. Simulated SOAP note entry shows 12-item hot lists to hold over 70% of desired drug and diagnosis selections. Intelligent split menus should improve user efficiency if current selection methods require 3 seconds or more per item. A demonstration prototype can be downloaded over the Web.