MONITORING TIME BETWEEN MEDICAL ERRORS TO IMPROVE HEALTH-CARE QUALITY

Monitoring medical errors has a proven positive impact on improving health-care quality. This study is designed to discuss the statistical surveillance methods and propose useful procedures to medical practitioners for monitoring time between medical errors. Variable time between events (TBE) control charts are constructed in order to monitor time between dosing errors. Results indicate that the variable TBE control charts can easily be integrated to the medical error monitoring processes. Several methods are considered to analyze the dozing error data and discussion is provided for medical decision makers to apply a better medical error monitoring program.

[1]  J C Benneyan,et al.  Number-Between g-Type Statistical Quality Control Charts for Monitoring Adverse Events , 2001, Health care management science.

[2]  Giovanni Radaelli Planning time-between-events Shewhart control charts , 1998 .

[3]  Cynthia Hovor,et al.  Tutorial on Monitoring Time to Next Medication Error , 2007, Quality management in health care.

[4]  Farrokh Alemi,et al.  Time-between control charts for monitoring asthma attacks. , 2004, Joint Commission journal on quality and safety.

[5]  M. Xie,et al.  Monitoring time-between-events for health management , 2010, 2010 Prognostics and System Health Management Conference.

[6]  James G Miller,et al.  Tutorial on Monitoring Time to Next Medication Error: A Response , 2008, Quality management in health care.

[7]  Mats Brommels,et al.  Application of statistical process control in healthcare improvement: systematic review , 2007, Quality and Safety in Health Care.

[8]  Min Xie,et al.  Statistical Models and Control Charts for High-Quality Processes , 2002 .

[9]  Thong Ngee Goh,et al.  Cumulative quantity control charts for monitoring production processes , 2000 .

[10]  M. Xie,et al.  Time-between-events charts for on-line process monitoring , 2004, 2004 IEEE International Engineering Management Conference (IEEE Cat. No.04CH37574).

[11]  R. Tennant,et al.  Monitoring patients using control charts: a systematic review. , 2007, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[12]  J. Benneyan,et al.  Statistical process control as a tool for research and healthcare improvement , 2003, Quality & safety in health care.

[13]  T. N. Goh,et al.  A Comparative Study of Exponential Time between Events Charts , 2006 .