Objective: The purpose of this study is to investigate treatment options of osteomyelitis based on physician decisions recorded in our dataset. Methods: We want to find the frequency of a given input (code) for a variable, or more than one variable in health care data. Using the Thomson MedStat MarketScan data containing all patient claims for 40 million observations, the primary diagnosis code is given for each patient as well as fifteen possible secondary diagnoses. We use SAS Text Miner to demonstrate a simplified method to search these fifteen columns. We use ICD9 and CPT codes to find treatments for osteomyelitis. We also look for sequential treatments for recurrence of osteomyelitis. After filtering the data for Osteomyelitis, there are 18,721 observations in inpatients that contain 2,661 patients, and 233,001 observations in outpatients with 78,957 patients. Results: The difference between the number of observation and number of distinct patient IDs shows that most patients have a sequence of procedures during their treatment. After sorting the data by procedures, the most frequent (20%) is “Dorsal and dorsolumbar fusion, posterior technique”, second is “Excisional debridement of wound, infection, or burn” (15%), third “Amputation of toe” (9%), and in forth place, “Revision of amputation stump” (7%). In the outpatient data, the most frequent procedure is code 86.59 (Closure of skin and subcutaneous tissue of other sites) with 4021 records out of 8711 records. We found that about 8 % of patients with osteomyelitis from inpatient data and about 0.3% from outpatient data had amputation. Conclusion: While amputation does not occur as often as debridement, we want to examine the sequence of treatments to see whether amputation follows a pattern of debridement.