The Experts below are selected from a list of 31008 Experts worldwide ranked by ideXlab platform
H. -p. Lai - One of the best experts on this subject based on the ideXlab platform.
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Evaluating the effectiveness of implementing quality management practices in the Medical Industry.
The journal of nutrition health & aging, 2015Co-Authors: Tsu-ming Yeh, H. -p. LaiAbstract:Objective To discuss the effectiveness of 30 quality management practices (QMP) including Strategic Management, Balanced ScoreCard, Knowledge Management, and Total Quality Management in the Medical Industry.
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Evaluating the effectiveness of implementing quality management practices in the Medical Industry
The journal of nutrition health & aging, 2015Co-Authors: Tsu-ming Yeh, H. -p. LaiAbstract:ObjectiveTo discuss the effectiveness of 30 quality management practices (QMP) including Strategic Management, Balanced ScoreCard, Knowledge Management, and Total Quality Management in the Medical Industry.DesignA V-shaped performance evaluation matrix is applied to identify the top ten practices that are important but not easy to use or implement. Quality Function Deployment (QFD) is then utilized to find key factors to improve the implementation of the top ten tools.Setting and ParticipantsThe questionnaires were sent to the nursing staff and administrators in a hospital through e-mail and posts. A total of 250 copies were distributed and 217 copies were valid.MeasurementsThe importance, easiness, and achievement (i.e., implementation level) of 30 quality management practices were used.ResultsKey factors for QMP implementation were sequenced in order of importance as top management involvement, inter-department communication and coordination, teamwork, hospital-wide participation, education and training, consultant professionalism, continuous internal auditing, computerized process, and incentive compensation.ConclusionsTop management can implement the V-shaped performance matrix to determine whether quality management practices need improvement and if so, utilize QFD to find the key factors for improvement.
Tsu-ming Yeh - One of the best experts on this subject based on the ideXlab platform.
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Evaluating the effectiveness of implementing quality management practices in the Medical Industry.
The journal of nutrition health & aging, 2015Co-Authors: Tsu-ming Yeh, H. -p. LaiAbstract:Objective To discuss the effectiveness of 30 quality management practices (QMP) including Strategic Management, Balanced ScoreCard, Knowledge Management, and Total Quality Management in the Medical Industry.
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Evaluating the effectiveness of implementing quality management practices in the Medical Industry
The journal of nutrition health & aging, 2015Co-Authors: Tsu-ming Yeh, H. -p. LaiAbstract:ObjectiveTo discuss the effectiveness of 30 quality management practices (QMP) including Strategic Management, Balanced ScoreCard, Knowledge Management, and Total Quality Management in the Medical Industry.DesignA V-shaped performance evaluation matrix is applied to identify the top ten practices that are important but not easy to use or implement. Quality Function Deployment (QFD) is then utilized to find key factors to improve the implementation of the top ten tools.Setting and ParticipantsThe questionnaires were sent to the nursing staff and administrators in a hospital through e-mail and posts. A total of 250 copies were distributed and 217 copies were valid.MeasurementsThe importance, easiness, and achievement (i.e., implementation level) of 30 quality management practices were used.ResultsKey factors for QMP implementation were sequenced in order of importance as top management involvement, inter-department communication and coordination, teamwork, hospital-wide participation, education and training, consultant professionalism, continuous internal auditing, computerized process, and incentive compensation.ConclusionsTop management can implement the V-shaped performance matrix to determine whether quality management practices need improvement and if so, utilize QFD to find the key factors for improvement.
Kevin C. Chung - One of the best experts on this subject based on the ideXlab platform.
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A systematic review of the relationship between plastic surgery and the Medical Industry.
Plastic and reconstructive surgery, 2010Co-Authors: Philip J. Clapham, Kevin C. ChungAbstract:Background The nature and extent of medicine’s relationship with the Medical Industry is currently a heated issue in medicine. Although the ethical implications of this relationship have been widely discussed in Medical journals and the popular media, it is unknown how the current interest in Industry issues has affected Plastic Surgery. The aim of this systematic review was to characterize the literature of the past two decades that examines Plastic Surgery’s relationship with the Medical Industry.
Nilesh Kumar Tiwari - One of the best experts on this subject based on the ideXlab platform.
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RF Sensor for Adulteration Detection of Liquid Silicone Used in Medical Industry
2018 18th Mediterranean Microwave Symposium (MMS), 2018Co-Authors: Nilesh Kumar Tiwari, Prashant Kumar Varshney, Debasish Mondal, M. Jaleel AkhtarAbstract:A metamaterial unit cell based planar RF sensor is employed for the first time to detect the adulteration in Medical grade liquid silicone. The proposed sensor is based on an electrically coupled complementary split ring resonator (CSRR) etched on the ground plane of the microstrip line. The basic idea behind adulteration detection using the proposed RF sensor is to estimate the level of adulterant in pure liquid silicone by recording the corresponding change in the resonant frequency/insertion loss of the unloaded device. The basic CSRR sensor is designed using the CST-MWS, and its various parameters are optimized in order to improve the sensitivity at the designed frequency (1.69 GHz). Thereafter, the proposed sensor is fabricated on the commercially available FR-4 substrate to measure the scattering parameters using the network analyzer in order to estimate the resonant frequency and insertion loss of the unloaded sensor. Finally, different volume proportions of various oils are added with pure liquid silicone to emulate the practical adulteration scenario. The resonant frequency and insertion loss of all the samples are recorded to establish the graphical relationship between the measured RF parameters and adulteration in silicone liquids. The proposed methodology helps to develop an integrated RF sensor system for the real-time monitoring of purity of liquid silicone for the Medical Industry.
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Planar SIW Cavity Based RF Sensor for Air Bubble Detection in Medical Industry
2018 IEEE SENSORS, 2018Co-Authors: Nilesh Kumar Tiwari, Debasish Mondal, Abhishek Kumar Jha, Mohammad Jaleel AkhtarAbstract:A novel planar RF sensor using the SIW cavity technique, operating at 2.45 GHz of the ISM band, is designed and presented for the air bubble detection dedicated to the Medical Industry. The proposed sensor is quite compact that requires only few microliter volume of the test liquid to effectively detect the air bubble inside the patient's IV line with high accuracy. The sensor design and optimization is realized using the full-wave numerical software, the CST-MWS in order to obtain the desired performance at the frequency of interest. The parameters of the proposed RF sensor are optimized such that its operating frequency corresponds to the dominant TE 101 mode. The novel feed mechanism used in the proposed sensor helps to obtain the improved Q-factor as compared to conventional planar resonant sensors. The prototype of the proposed sensor is fabricated on a 1.6 mm thick, Rogers RT5880 substrate. The scattering parameters of the fabricated sensor under the unloaded condition are measured and are found to closely match with the corresponding simulated data which actually validates the proposed design. Thereafter, various liquid chemicals are measured to record the change in measured resonant frequency in accordance with their dielectric constant. Finally, the proposed scheme is successfully tested for the detection of an air bubble inside the patient's typical IV saline line under practical condition.
Shuyu Chen - One of the best experts on this subject based on the ideXlab platform.
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Research on Personal Privacy Protection in Medical Big Data
DEStech Transactions on Computer Science and Engineering, 2017Co-Authors: Shuyu ChenAbstract:With the development of social information, big data is becoming an indispensable strategic source. Medical Industry generates lots of data every day, except brings us convenience, big data also bring the challenge for personal privacy protection. Medical big data brings revolution for the traditional Medical service. Because of its convenience for sharing, transmission, and discovering, plus the specificity of Medical Industry, it makes people pay more attention to the private privacy protection. The essay, not only discusses the present status of Medical big data and the problem that may concern about personal privacy protection, but also sort out the personal privacy protection technology. Then, we can find some feasible methods to protect personal privacies and look into the future of personal privacy protection system in Medical big data Industry.