Monitoring patients using control charts: a systematic review

Abstract

Control charts appear to have a promising but largely under-researched role in monitoring clinical variables in individual patients. Furthermore, rigorous evaluation of control charts is required.

Impact of graphic format on perception of change in biological data: implications for health monitoring in conditions such as asthma

“…The exacerbations were recognised clinically at the time and were retrospectively confirmed to represent a material change, based on a conventional statistical process control criterion of >3 SD fall from baseline mean. 18 The start of each dataset was allocated so that the exacerbation nadir fell at the junction of two blocks. Minor modifications were made to the original data so that the exacerbation would appear between blocks 3 and 6.…”

“…In the detection of signal from noise -one of the most important tasks in health monitoring -a conventional method such as statistical process control, which performs well in industrial applications, may not necessarily be as appropriate for monitoring of biological data. 18,26 Visual perception is highly sophisticated, 20 so graphic displays may contribute to the development of new statistical tools for identifying material deviations from normal. However, this will only be possible if data presentation is standardised.…”

Dosimetric and Mechanical Stability of CyberKnife Robotic Radiosurgery Unit: 5 Years’ Clinical Experience

“…[2,[4][5][6][7][8][9][10] Moreover, control charts, as used in industrial manufacturing and other healthcare systems, have recently been applied to QA for RT to determine shortand long-term stability of conventional linacs. [11][12][13][14][15][16][17][18][19][20][21][22] However, there does not appear to be a study analyzing short-and long-term output stability of CyberKnife Robotic Radiosurgery System (Accuray Inc., Sunnyvale, CA, USA).…”

Data-modelling and visualisation in chronic kidney disease (CKD): a step towards personalised medicine

“…23 In developing this intervention further we will need to follow advice and best practice on how to develop a new complex intervention. 24 There are some similarities in this approach and those adopted in statistical process control (SPC) 25,26 though statistical process control proposes methods for observing data and does not encompass the potentially automated methods of data extraction which form part of this method.…”