Chief Medical Officer (CMO) - Letters and Urgent Communications

Chief Medical Officer - Letters and Urgent Communications

NIAIC - Medical Device Equipment Alerts (MEDA)

NIAIC - Medical Device Equipment Alerts

NIAIC - Medical Device and Equipment Alerts 2013

Medical Device and Equipment Alerts MDEA Updates - 2013

NIAIC - Medical Device and Equipment Alerts 2012

Medical Device and Equipment Alerts MDEA Updates - 2012

Applications of flow cytometry to hematopoietic stem cell transplantation

Applications of flow cytometry to clinical and experimental hematopoietic stem cell transplantation (HSCT) are discussed in this review covering the following topics: diagnosis and classification of lymphohematologic disorders, quantitation of hematopoietic progenitors in the graft, lymphohematopoietic reconstitution following HSCT and animal models of human HSCT. At the end, the utilization of flow cytometry in clinical HSCT by Brazilian transplant centers is briefly reviewed.

NIAIC - Medical Device and Equipment Alerts 2010

Medical Device and Equipment Alerts MDEA Updates - 2010

NIAIC - Medical Device and Equipment Alerts 2011

Medical Device and Equipment Alerts MDEA Updates - 2011

NIAIC - Medical Device and Equipment Alerts 2009

Medical Device and Equipment Alerts MDEA Updates - 2009

Nonclassical measurement error with applications to labor and development issues

Zero correlation between measurement error and model error has been assumed in existing panel data models dealing specifically with measurement error. We extend this literature and propose a simple model where one regressor is mismeasured, allowing the measurement error to correlate with model error. Zero correlation between measurement error and model error is a special case in our model where correlated measurement error equals zero. We ask two research questions. First, we wonder if the correlated measurement error can be identified in the context of panel data. Second, we wonder if classical instrumental variables in panel data need to be adjusted when correlation between measurement error and model error cannot be ignored. Under some regularity conditions the answer is yes to both questions. We then propose a two-step estimation corresponding to the two questions. The first step estimates correlated measurement error from a reverse regression; and the second step estimates usual coefficients of interest using adjusted instruments.

Ambulatory measurement of ankle kinetics for clinical applications.

This study aimed to design and validate the measurement of ankle kinetics (force, moment, and power) during consecutive gait cycles and in the field using an ambulatory system. An ambulatory system consisting of plantar pressure insole and inertial sensors (3D gyroscopes and 3D accelerometers) on foot and shank was used. To test this system, 12 patients and 10 healthy elderly subjects wore shoes embedding this system and walked many times across a gait lab including a force-plate surrounded by seven cameras considered as the reference system. Then, the participants walked two 50-meter trials where only the ambulatory system was used. Ankle force components and sagittal moment of ankle measured by ambulatory system showed correlation coefficient (R) and normalized RMS error (NRMSE) of more than 0.94 and less than 13% in comparison with the references system for both patients and healthy subjects. Transverse moment of ankle and ankle power showed R>0.85 and NRMSE<23%. These parameters also showed high repeatability (CMC>0.7). In contrast, the ankle coronal moment of ankle demonstrated high error and lower repeatability. Except for ankle coronal moment, the kinetic features obtained by the ambulatory system could distinguish the patients with ankle osteoarthritis from healthy subjects when measured in 50-meter trials. The proposed ambulatory system can be easily accessible in most clinics and could assess main ankle kinetics quantities with acceptable error and repeatability for clinical evaluations. This system is therefore suggested for field measurement in clinical applications.

Report on Induction Processes for Medical Staff in the HPSS

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Report on the Induction Processes for Medical Staff in the HPSS

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Review of the Peri-operative Non-medical Workforce in the HPSS (PDF 720 KB)

A Review of the Peri-operative Non Medical Workforce within Northern Ireland Encompassing the Twelve Acute Trusts