A study of the satisfaction from users and service providers in the pathology laboratory

The pathology laboratory of HPH Princess Maha Chakri Sirindhorn Medical Center will come to laboratory quality system certification standard work. Laboratory satisfaction was studied in users and service providers. This Study determined the satisfaction of users and service providers in the pathology laboratory in 2009 – 2012. Participants conducted a self-directed study of the pathology laboratory. Data from outpatient users (n=110) include environment, location, speed, consideration, process of service, benefit and overall satisfaction. Data from staff-medical users (n=120) include accuracy, speed, price, diversity of service, location, and overall satisfaction. Data from service providers (n=46) include safety, salutary, progression, salary and relationship of service provider. Overall satisfactions to the pathology laboratory and blood bank from outpatient users are 71.08% and 90.38% respectively. Overall satisfaction with the central laboratory, blood bank, anatomical pathology and emergency laboratory from staff-medical users are 70.17%, 72.53%, 72.35% and 70.90% respectively. Overall satisfaction with the pathology laboratory from service providers in safety and salutary is 74.43%. Overall satisfaction with the pathology laboratory from service providers in progression and salary is 69.88% and 71.79% in the aspect of the relationship of service providers. The hospital administration should improve the considerable and the responsibility of service provider, speed and diversity of the laboratory and salary and stability in career path for service providers

A Modern Primer on Processing in Memory

Modern computing systems are overwhelmingly designed to move data to computation. This design choice goes directly against at least three key trends in computing that cause performance, scalability and energy bottlenecks: (1) data access is a key bottleneck as many important applications are increasingly data-intensive, and memory bandwidth and energy do not scale well, (2) energy consumption is a key limiter in almost all computing platforms, especially server and mobile systems, (3) data movement, especially off-chip to on-chip, is very expensive in terms of bandwidth, energy and latency, much more so than computation. These trends are especially severely-felt in the data-intensive server and energy-constrained mobile systems of today. At the same time, conventional memory technology is facing many technology scaling challenges in terms of reliability, energy, and performance. As a result, memory system architects are open to organizing memory in different ways and making it more intelligent, at the expense of higher cost. The emergence of 3D-stacked memory plus logic, the adoption of error correcting codes inside the latest DRAM chips, proliferation of different main memory standards and chips, specialized for different purposes (e.g., graphics, low-power, high bandwidth, low latency), and the necessity of designing new solutions to serious reliability and security issues, such as the RowHammer phenomenon, are an evidence of this trend. This chapter discusses recent research that aims to practically enable computation close to data, an approach we call processing-in-memory (PIM). PIM places computation mechanisms in or near where the data is stored (i.e., inside the memory chips, in the logic layer of 3D-stacked memory, or in the memory controllers), so that data movement between the computation units and memory is reduced or eliminated.Comment: arXiv admin note: substantial text overlap with arXiv:1903.0398