Mobile computing platform with decision support modules for hemotherapy

Richard S P Huang, Elena Nedelcu, Yu Bai, Amer Wahed, Kimberly Klein, Igor Gregoric, Manish Patel, Biswajit Kar, Pranav Loyalka, Sriram Nathan, Paul Loubser, Phillip A. Weeks, Rajko Radovancevic, Andy N D Nguyen

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Objectives: We describe the development of a mobile computing platform (MCP) with a decision support module (DSM) for patients in our coagulation-based hemotherapy service. Methods: The core of our MCP consists of a Microsoft Excel spreadsheet template used to gather and compute data on cardiopulmonary bypass (CPB) patients intraoperatively. The DSM is embedded into the Excel file, where the user would enter in laboratory results, and through our 45 embedded algorithms, recommendations for transfusion products would be displayed in the Excel file. Results: The DSM has helped decrease the time it takes to come to a transfusion recommendation, helps double-check recommendations, and is an excellent tool for teaching. Furthermore, the problems that occur with a paper system have been eliminated, and we are now able to access this information easily and reliably. Conclusions: The development and implementation of our MCP system has greatly increased the productivity and efficiency of our hemotherapy service.

Original languageEnglish (US)
Pages (from-to)834-840
Number of pages7
JournalAmerican Journal of Clinical Pathology
Volume141
Issue number6
DOIs
StatePublished - 2014
Externally publishedYes

Keywords

  • Algorithms
  • Coagulation
  • Decision support modules
  • Hemotherapy
  • Mobile computing platform

ASJC Scopus subject areas

  • Pathology and Forensic Medicine

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  • Cite this

    Huang, R. S. P., Nedelcu, E., Bai, Y., Wahed, A., Klein, K., Gregoric, I., Patel, M., Kar, B., Loyalka, P., Nathan, S., Loubser, P., Weeks, P. A., Radovancevic, R., & Nguyen, A. N. D. (2014). Mobile computing platform with decision support modules for hemotherapy. American Journal of Clinical Pathology, 141(6), 834-840. https://doi.org/10.1309/AJCPRG5LYWL6DXMX