Wednesday, 24 December, 2008

SIX Sigma in Healthcare

Improve Process:

1. Define the problem - that is wait time and the high number of non-emergency patients
2. Develop a solution - in an emergency room situation, this can include adding beds by expanding the department or decreasing the size of current rooms; outsourcing certain testing and radiology services; and/or adding an ‘express care’ program to deal with non-emergency patients
3. Form a plan for improving the process, measuring improvements to the process, and reducing deviations from the goal - many hospitals have found that Lean Six Sigma practices are a particularly effective way of identifying and dealing with the challenges and problems inherent to health care .
How Six Sigma help reduce Medical Errors:
Six Sigma is a process improvement method that focuses on eliminating defects by reducing variation. It relies heavily on statistical analysis of data and strong problem-solving techniques. For more than a decade, companies such as GE, Motorola and Toshiba have used Six Sigma to foster excellence by virtually eliminating errors. Only recently have health care organizations begun applying Six Sigma methods into their operations.
Areas of Benefit:I personally deployed Six Sigma in the following fields and have seen success.
Drug Infusions:
1. concentrations prepared by the pharmacy
2. how physician orders were formatted
3. how nurses calculated drip rates
Improvements were initiated, including standardizing of drug concentrations, development of tables to improve the accuracy of drip calculations. Error rates and clinical discrepancies improved significantly.
Pain Medications:
1. the pharmacy reviewed orders earlier in the process and intervened when non-standard medications were ordered
2. medications that were kept in patient areas were standardized and limited colored labels were utilized to indicate non-standardized concentrations nurses were retrained in the more problematic steps of programming the pump
3. After these improvements were there were significantly fewer errors, and if errors did occur, they were less severe and were discovered more quickly.
Diagnostic Centres:

1. Patient falls in the rehabilitation unit
2. Reducing the time a physician orders an antibiotic and the patient’s receiving it
3. Elapsed time from when a patient diagnosed with a heart attack arrives at the hospital to treatment in the catheterization lab
4. Frequency and severity of low glucose readings in insulin recipients
5. Post-operative narcotic sedation
Main Areas of Deployment Could be:
1. pacemaker billing and reimbursement
2. length of stay for percutaneous coronary intervention (PCI)
3. use of Omnicell non-narcotic
4. medical record retrieval
5. room availability cycle time,
6. lab supply management.

No comments:

PREPARE for Impact- Artificial Intelligence Promises a New Paradigm for Healthcare

From interpreting lab tests, simplifying in-vitro fertilization, and personalizing cancer care to monitoring surgical video in real-time o...