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Your search keyword '"Bathrinath, S"' showing total 4 results
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4 results on '"Bathrinath, S"'

2. Analysis of Human Error of EHS in Healthcare Industry Using TISM

Author

Bhalaji, R. K. A., Bathrinath, S., Samantra, Chitrasen, Saravanasankar, S., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Kedar Nath, editor, Bansal, Jagdish Chand, editor, Deep, Kusum, editor, Nagar, Atulya K., editor, Pathipooranam, Ponnambalam, editor, and Naidu, Rani Chinnappa, editor

Published
2020
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3. Analysis of Risk Factors Related to Patients in Healthcare Industry using ISM Method.

Author

Bhalaji, R. K. A., Bathrinath, S., and Saravanasankar, S.

Subjects
*FACTOR analysis, *DISEASE risk factors, *RISK assessment, *STRUCTURAL models, *MEDICAL care
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. [ABSTRACT FROM AUTHOR]

Published
2019
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4. A Fuzzy Decision-Making Trial and Evaluation Laboratory approach to analyse risk factors related to environmental health and safety aspects in the healthcare industry.

Author

BHALAJI, R K A, BATHRINATH, S, PONNAMBALAM, S G, and SARAVANASANKAR, S

Subjects
*ENVIRONMENTAL health, *DISEASE risk factors, *FUZZY decision making, *MEMBERSHIP functions (Fuzzy logic)
Abstract

In healthcare firms, environmental health and safety (EHS) remains as a vital factor as healthcare products pose very intricate problems related to environment safety. The different similar and dissimilar risk factors that prevail in the system have complicated known and unknown causal relationships that are difficult to understand and interpret. Hence, improving the EHS remains as a challenge in healthcare industry. A research study is carried out utilizing the data (in conjunction with expert's opinion) and conditions of a healthcare firm in India to categorize and obtain the prominent risk factors based on identifying the most adverse causal relationship among them. A Fuzzy Decision-Making Trial and Evaluation Laboratory (fuzzy DEMATEL)-based approach is designed and employed to assess and rank different EHS risk factors. The trapezoidal fuzzy membership function of the model facilitates better learning of interrelationships in spite of the prevailing vagueness in the causal relationships between the risk factors. The outcomes (the decisive risk factors) out of the experimentation using the proposed methodology strongly coincide with the actual causes of the EHS factors during the last one decade. As the proposed approach is found to be very effective in fixing the causal relationships and ranking among the risk factors, this may be successfully employed in similar healthcare firms/industries for finding out their respective decisive risk factors. [ABSTRACT FROM AUTHOR]

Published
2019
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