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Proposal for Development of EBM-CDSS (Evidence-based Clinical Decision Support System) to Aid Prognostication in Terminally Ill Patients

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Final rept. 25 Sep 2009-24 Sep 2014

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Goal of the project is to develop an Evidence-based Clinical Decision Support EBM-CDSS system and make it available at the point of care to improve prognostication of the life expectancy of terminally ill patients to improve referral of patients to hospice. In addition, the EBM-CDSS will be expanded with an evidence based pain management module EB-PMM to assist physicians managing patients with pain. Currently, the study is being conducted at the Moffitt Cancer Center MCC and Tampa General Hospital TGH. Both sites received scientific review committee, IRB and the sponsor approval. So far our key research accomplishments are as follows we. We identified research associates one at each study site to serve as a back-up for our current research associates to interview patients, collect data and manage the study related activities. We designed the Spanish version of the informed consent forms for our study. A certified translator translated the original English language informed consent forms into Spanish language. We have actively worked with IRB, physicians, nurses and physicians assistants at both MCC and TGH to inform them about the study and listened their suggestions how to improve it including the patient enrollment into the study. To date, we have enrolled 127 study participants we have screened and approached 807 patients Obtained approval from the USF Institutional Review Board for the amendments. Actively monitoring all aspects of the study. Refined our evidence based pain management module and developed a version of evidence based pain management module to make it available on the mobile platforms. Published three manuscripts for peer-reviewed publication and one meeting abstract were accepted for an oral presentation at a prestigious national meeting. Submitted the no cost extension application.

Subject Categories:

  • Medicine and Medical Research
  • Computer Programming and Software

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