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1.
HPB (Oxford) ; 21(5): 589-595, 2019 05.
Article in English | MEDLINE | ID: mdl-30366882

ABSTRACT

BACKGROUND: Pancreatic surgery outcomes are associated with surgeon and center experience. Anesthesiologists as potential value drivers for pancreatic surgery have not been explored. We sought to evaluate whether anesthesiologists impact perioperative costs for pancreatic surgery. METHODS: Within an integrated health care system, 796 pancreatic surgeries (526 PDs and 270 DPs) were performed from January 2014 to June 2017. Mean direct operative and anesthesia costs driven by anesthesiologists (operating room (OR) time, anesthesia billing and anesthesia procedures) were determined for each case. The volumes of pancreatic cases per anesthesiologist were calculated, and those above the 75th percentile for volume (4 cases) were considered high-volume. A multivariable analysis of OR/anesthesia costs was performed. RESULTS: Mean OR and anesthesia costs for PD were $7064 for low-volume anesthesiologists (LVA), higher than $5968 for high-volume anesthesiologists (HVA) (p < 0.001). By multivariable analysis, HVA were associated with decreased costs of $2278 (p < 0.001). Teams of HVA and high-volume surgeons (HVS) were also associated with decreased mean costs of $1790 (p = 0.04). CONCLUSION: These data suggest that anesthesiologists experienced in the management of complex pancreatic operations such as PDs may contribute to improved efficiencies in care by reducing perioperative costs.


Subject(s)
Anesthesiologists , Cost Savings , Pancreatectomy/economics , Pancreaticoduodenectomy/economics , Patient Care Team/organization & administration , Surgeons , Adult , Aged , Female , Humans , Male , Middle Aged
2.
J Am Coll Surg ; 227(1): 45-53, 2018 07.
Article in English | MEDLINE | ID: mdl-29580880

ABSTRACT

BACKGROUND: An initiative was established to improve value-based care for pancreatic surgery in a large nonprofit health system. Cost data were presented bimonthly to a hepatobiliary clinical performance group via videoconference. STUDY DESIGN: The direct costs were calculated for all patients undergoing distal pancreatectomy (DP) and pancreaticoduodenectomy (PD) between January 2014 and July 2017. Median length of stay, 30-day and 90-day mortality rates, readmission rate, and costs were stratified by surgeon volume using 2 published criteria: "volume pledge" criteria (≥5 PDs/year) and Leapfrog criteria (≥11 PDs/year). RESULTS: There were 270 DPs and 526 PDs performed in 14 hospitals spanning 4 states. Median PD costs were lower for high-volume surgeons (≥5 PDs/year), $21,026 vs $24,706 (p = 0.005). High-volume surgeons had a shorter length of stay (9 days vs 11 days; p < 0.001) for PD and DP (6 days vs 7 days; p = 0.001). Increased costs for low-volume surgeons included operative/anesthesia costs ($7,321 vs $6,325; p = 0.03), room and board ($5,828 vs $4,580; p = 0.01), and intensive care costs ($4,464 vs $3,113; p = 0.04). Operating time was increased for high-volume surgeons for DP and PD (p < 0.001). There was no difference in 30-day or 90-day mortality rates or readmissions for DP or PD when stratified by volume pledge criteria. There was no difference in total costs for DP or PD when stratified by Leapfrog criteria. CONCLUSIONS: There was a significant cost reduction for PD but not DP when the threshold of 5 PDs was used as a definition of high volume. The sharing of detailed financial data with HPB surgeons on a regular basis provides an opportunity to evaluate practice patterns and thereby reduce direct costs.


Subject(s)
Delivery of Health Care, Integrated/economics , Pancreatectomy/economics , Pancreaticoduodenectomy/economics , Aged , Costs and Cost Analysis , Female , Hospitals, High-Volume , Humans , Length of Stay/statistics & numerical data , Male , Middle Aged , Outcome Assessment, Health Care , Pancreatectomy/mortality , Pancreaticoduodenectomy/mortality , Patient Readmission/statistics & numerical data , Retrospective Studies , United States
3.
Summit Transl Bioinform ; 2010: 21-5, 2010 Mar 01.
Article in English | MEDLINE | ID: mdl-21347140

ABSTRACT

The need for easy, non-technical interfaces to clinical databases for research preceded translational research activities but is made more important because of them. The utility of such interfaces can be improved by the presence of a persistent, reusable and modifiable structure that holds the decisions made in extraction of data from one or more datasources for a study, including the filtering of records, selection of the fields within those records, renaming of fields, and classification of data. This paper demonstrates use of the Web Ontology Language (OWL) as a data representation of these decisions which define a study schema.

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