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Optimizing preoperative blood ordering with data acquired from an anesthesia information management system.
Steven M Frank1, James A Rothschild, Courtney G Masear
1Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins Medical Institutions, Baltimore, Maryland 21287, USA. sfrank3@jhmi.edu
An updated maximum surgical blood order schedule (MSBOS) optimizes preoperative blood ordering. This approach reduces unnecessary blood orders, improving efficiency and patient safety while cutting costs.
Area of Science:
- Anesthesiology
- Transfusion Medicine
- Healthcare Management
Background:
- The original maximum surgical blood order schedule (MSBOS) is outdated due to advancements in surgical procedures.
- An updated, institution-specific MSBOS is needed to guide preoperative blood ordering effectively.
Purpose of the Study:
- To develop and validate a method for creating an updated, institution-specific MSBOS.
- To assess the economic impact of optimizing preoperative blood ordering using the new MSBOS.
Main Methods:
- Blood utilization data from 53,526 patients and 1,632 surgical procedures were analyzed.
- A novel algorithm was applied to anesthesia information management system data to generate specialty-specific MSBOS.
- Economic implications were calculated based on the reduction of unnecessary blood orders.
Main Results:
- Significant rates of unnecessary type and screens (32.7%) and crossmatches (9.5%) were identified in cases not requiring preoperative blood orders.
- Unnecessary type and crossmatches (32.5%) were also found in cases only needing a type and screen.
- Implementing the MSBOS could save an estimated $211,448 in hospital charges and $43,135 in actual costs annually.
Conclusions:
- An institution-specific MSBOS can be effectively created using anesthesia data and a proposed algorithm.
- Optimizing preoperative blood ordering enhances operating room efficiency, patient safety, and cost reduction.
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Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
