Using a pilot-centric, qualitative drug risk assessment model to identify opportunities for implementing pharmacogenetics
نویسندگان
چکیده
Abstract Background Risk assessment models are at the core of flight medicine, weighing both impact environment on an aviator and potential medical events in aviators operations. Pharmacogenetics is application a patient’s genetic information to reduce medication risk. Here, we use three conditions commonly encountered by U.S. Air Force’s medicine community (asthma, diabetes, hypertension) demonstrate framework for implementing occupationally relevant pharmacogenetics. We identified medications approved Food & Drug Administration each condition, obtained adverse effects frequencies, scored effect’s work duties from 0 4 increasing severity, used control theory stratify occupational For those within 10% limits, pharmacogenetic was collected PharmGKb. Results observed correlation 0.557 between our risk scores previous reports 20 medications, demonstrating robustness scoring. Using average risks set acceptable tolerable thresholds 601,109.5 2,097,721, respectively. The majority were below (66 26, respectively). Three have guidance provided regulatory bodies. Conclusions By focusing first performing tasks then implementation, presents which pharmacogenetics can be selectively applied considering specific environmental risks, thereby saving costs reducing possible psychological burdens patients.
منابع مشابه
Pharmacogenetics: using DNA to optimize drug therapy.
Pharmacogenetics is a growing field of research that focuses on the interaction between genetics and drug therapy. Relationships between genetic variation and drug effect have been observed for a growing number of commonly used drugs. Validation studies may soon define the use of these relationships in clinical practice, moving the field toward routine application. Currently, there are only a f...
متن کاملUsing Qualitative Hypotheses to Identify Inaccurate Data Using Qualitative Hypotheses to Identify Inaccurate Data
Identifying inaccurate data has long been regarded as a di cult and signi cant problem in AI. In this paper, we present a new method to identify inaccurate data by considering qualitative connections among data. First, we put forward a new concept called support coe cient function(SCF). SCF can be used to extract, represent, and calculate qualitative e ects among data to enhance or depress the ...
متن کاملUsing a computer-based risk assessment tool to identify risk for chemotherapy-induced febrile neutropenia.
This article evaluates the feasibility of developing and implementing a computer-based risk assessment tool (CBRAT) for febrile neutropenia and determines whether it could improve documentation of risk assessment in patients starting myelosuppressive chemotherapy regimens. The CBRAT was designed using a template creator in a commercial electronic medical records system. The effectiveness of the...
متن کاملPresentation a Model for Employee Absenteeism Management Using Qualitative Method
The purpose of this study is to present a model for employee absenteeism management using Grounded Theory (GT). Since there is a lack of study on theorizing this construct, this study aimed to conceptualize a theoretical model applying GT. This research is a qualitative research. The sample size was 11 interviewers who were knowledgeable human resource and organizational experts. Required data ...
متن کاملOPTIMIZATION TO IDENTIFY MUSKINGUM MODEL PARAMETERS USING IMPERIALIST COMPETITIVE ALGORITHM
In engineering, flood routing is an important technique necessary for the solution of a floodcontrol problem and for the satisfactory operation of a flood-prediction service. A simple conceptual model like the Muskingum model is very effective for the flood routing process. One challenge in application of the Muskingum model is that its parameters cannot be measured physically. In this article ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Future Journal of Pharmaceutical Sciences
سال: 2022
ISSN: ['2314-7245', '2314-7253']
DOI: https://doi.org/10.1186/s43094-022-00427-3