Ahmed S. Rahman

Simulation of a multiple operating room surgical suite

Outpatient surgery scheduling involves the coordination of several activities in an uncertain environment. Due to the very customized nature of surgical procedures there is significant uncertainty in the duration of activities related to the intake process, surgical procedure, and recovery process. Furthermore, there are multiple criteria which must be traded off when considering how to schedule surgical procedures including patient waiting, operating room (OR) team waiting, OR idling, and overtime for the surgical suite. Uncertainty combined with the need to tradeoff many criteria makes scheduling a complex task for OR managers. In this article we present a simulation model for a multiple OR surgical suite, describe some of the scheduling challenges, and illustrate how the model can be used as a decisions aid to improve strategic and operational decision making relating to the delivery of surgical services. All results presented are based on real data collected at Mayo Clinic in Rochester, MN

Disparities in Preventive Health Services Among Somali Immigrants and Refugees

African immigrants and refugees—almost half of them from Somalia—account for one of the fastest-growing groups in the United States. There is reason to suspect that Somali-Americans may be at risk for low completion of recommended preventive health services. This study’s aim was to quantify disparities in preventive health services among Somali patients compared with non-Somali patients in an academic primary care practice in Rochester, Minn. It also examined the effect of medical interpreters, emergency department visits, and primary care visits on the completion of preventive services. Rates of pap smears, vaccinations (influenza, pneumococcus, and tetanus), lipid screening, colorectal cancer screening, and mammography were assessed in Somali and non-Somali patients during the second quarter of 2008. Data were collected regarding the utilization of medical interpreters, emergency services, and primary care services among Somali patients. Results were reported using standard descriptive statistics. Of the 91,557 patients identified in the database, 810 were Somali. Somali patients had significantly lower completion rates of colorectal cancer screening, mammography, pap smears, and influenza vaccination than non-Somali patients. Use of medical interpreters and primary care services were generally associated with higher completion rates of preventive services. There are significant discrepancies in the provision of preventive health services to Somali patients compared with that of non-Somali patients. These findings suggest the need to identify the root causes of these discrepancies so that interventions may be crafted to close the gap.

A Discrete Event Simulation Model to Evaluate Operational Performance of a Colonoscopy Suite

Background and Aims. Colorectal cancer, a leading cause of cancer death, is preventable with colonoscopic screening. Colonoscopy cost is high, and optimizing resource utilization for colonoscopy is important. This study’s aim is to evaluate resource allocation for optimal use of facilities for colonoscopy screening. Method. The authors used data from a computerized colonoscopy database to develop a discrete event simulation model of a colonoscopy suite. Operational configurations were compared by varying the number of endoscopists, procedure rooms, the patient arrival times, and procedure room turnaround time. Performance measures included the number of patients served during the clinic day and utilization of key resources. Further analysis included considering patient waiting time tradeoffs as well as the sensitivity of the system to procedure room turnaround time. Results. The maximum number of patients served is linearly related to the number of procedure rooms in the colonoscopy suite, with a fixed room to endoscopist ratio. Utilization of intake and recovery resources becomes more efficient as the number of procedure rooms increases, indicating the potential benefits of large colonoscopy suites. Procedure room turnaround time has a significant influence on patient throughput, procedure room utilization, and endoscopist utilization for varying ratios between 1:1 and 2:1 rooms per endoscopist. Finally, changes in the patient arrival schedule can reduce patient waiting time while not requiring a longer clinic day. Conclusions. Suite managers should keep a procedure room to endoscopist ratio between 1:1 and 2:1 while considering the utilization of related key resources as a decision factor as well. The sensitivity of the system to processes such as turnaround time should be evaluated before improvement efforts are made.

Use of a clinical decision support system to increase osteoporosis screening.

Background In 2002, the US Preventive Services Task Force recommended routine osteoporosis screening for women aged 65 years or older. However, studies have indicated that osteoporosis remains underdiagnosed, and various methods such as the use of health information technology have been tried to increase screening rates. We investigated whether we could boost the low rates of bone mineral density testing with implementation of a point-of-care clinical decision support system in our primary care practice. Methods We retrospectively reviewed the medical records of female patients eligible for osteoporosis screening who had no prior bone mineral density test who were seen at our primary care practice sites in 2007 or 2008 (before and after implementation of a point-of-care clinical decision support system). Results Overall, screening rates were 80.1% in 2007 and 84.1% in 2008 (P < 0.001). Of patients who did not have osteoporosis screening before the visit, 5.87% completed the screening after the visit in 2007, compared with 9.79% in 2008 (when the clinical support system was implemented), a 66.7% improvement (P = 0.025). Conclusion Clinical decision support for primary care doctors significantly improved osteoporosis screening rates among eligible women. Carefully designed clinical decision support systems can optimize care delivery, ensuring that important preventive services such as osteoporosis screening for patients at risk for fracture are performed while unnecessary testing is avoided.

Population informatics-based system to improve osteoporosis screening in women in a primary care practice

OBJECTIVE To study the effects of using a population-based informatics system for osteoporosis screening and treatment in women aged 65 years or older. DESIGN A population-based informatics system (PRECARES: PREventive CAre REminder System) was implemented to meet the needs of the workflow of a primary care practice. Patients treated in either of two sections of a primary care internal medicine department were selected for the intervention, and patients of a comparable third section served as the control group. PRECARES identified women in the intervention group who were due for osteoporosis screening on the basis of age and who had no record of previous screening in our clinical system. If these eligible patients did not have an upcoming outpatient appointment, appointment secretaries sent a letter requesting that they call to make an appointment for a dual-energy x-ray absorptiometry scan. MEASUREMENTS At baseline and 3 months after the letters were sent, a database was used to determine the rate of osteoporosis screening in the intervention and control groups. RESULTS A total of 689 patients in the intervention group were sent the letter. Three months after the letters were sent, the rate of osteoporosis screening was 76.4% (2409/3152) in the intervention group vs 69% (928/1344) in the control group (p<0.001). In the intervention group, 25% of the 689 patients responded to the letter and completed osteoporosis screening. Patients who had osteoporosis screening received appropriate treatment. CONCLUSION A population-based informatics system for primary care practice significantly improved the rate of osteoporosis screening.