Analysis of risk factors related to patients in healthcare industry using ISM method

Abstract

Hospital related risk factors viewed as extreme difficulties signify critical risk to a hospitalized patient’s safety. Risk factors related to an orthopedic hospital are high in contrast to other hospitals. Here, we aim to level the key risk factors related to patients undergoing surgery. It will be helpful to hospital managers to enhance tactics to manage the efficiency of the hospital’s surgical process. Dissimilar factors related to patients undergoing surgery are recognized based on a literature survey as well as deliberations with experts in the hospital. We build a replica of risk factors influencing patient’s undergoing surgery using the Interpretive Structural Modeling (ISM) method. This method aids to determine the priority of the recognized risk factors. Also, a case empirical study in an orthopedic hospital in India is exhibited to show the proposed method and to reveal its consequences. Research discoveries signify that patient-clinical circumstances, surgical treatment time and use of imbeds get top priority in improving the efficiency of the hospital’s surgical process. The replica proposed is deliberated as being extremely valuable for hospital managers to realize and discriminate against critical risk factors for systematic judgments to improve the effectiveness of the hospital surgical processes.Hospital related risk factors viewed as extreme difficulties signify critical risk to a hospitalized patient’s safety. Risk factors related to an orthopedic hospital are high in contrast to other hospitals. Here, we aim to level the key risk factors related to patients undergoing surgery. It will be helpful to hospital managers to enhance tactics to manage the efficiency of the hospital’s surgical process. Dissimilar factors related to patients undergoing surgery are recognized based on a literature survey as well as deliberations with experts in the hospital. We build a replica of risk factors influencing patient’s undergoing surgery using the Interpretive Structural Modeling (ISM) method. This method aids to determine the priority of the recognized risk factors. Also, a case empirical study in an orthopedic hospital in India is exhibited to show the proposed method and to reveal its consequences. Research discoveries signify that patient-clinical circumstances, surgical treatment time and use of imbeds ...