1.Hypobaric-hypoxia induces alteration in microbes and microbes-associated enzyme profile in rat colonic samples.
Chiranjit MAITY ; Pallavi LAHIRI ; Atanu ADAK ; Kuntal GHOSH ; Bikas R PATI ; Keshab C MONDAL
Biomedical and Environmental Sciences 2013;26(10):869-873
Present study deals with the straight impact of hypobaric hypoxia on the quantity and composition of some predominant fecal microflora and its functional aspects. For that, isolated fecal contents of rat were exposed to two different simulated air pressures (70 kPa and 40 kPa) for different time durations (1, 3, and 5 h) and the bacterial community composition was compared with normobaric groups (101.3 kPa). It was found that the total anaerobes, Escherichia coli, Enterbacters spp., Bifidobacterium spp., Clostridium spp. were increased whereas total aerobes were decreased at both hypobaric treatments. The increased number of amplicon was detected in the pressure-treated groups than the control that clearly mentioned the disruption of microbiota structure at different simulated hypobaric-hypoxia. The amylase, protease, tannase, β-glucuronidase, and alkaline phosphatase activities were increased at these atmospheric pressures. Thus, the present investigation demonstrates that the hypobaric hypoxia is an important environmental factor which can strongly modulate the composition of intestinal flora as well as microflora-derived functional aspects.
Animals
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Atmospheric Pressure
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Bacteria, Aerobic
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Feces
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Hypoxia
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Microbiota
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Rats
2.Comparison of Open-Source Electronic Health Record Systems Based on Functional and User Performance Criteria
Saptarshi PURKAYASTHA ; Roshini ALLAM ; Pallavi MAITY ; Judy W GICHOYA
Healthcare Informatics Research 2019;25(2):89-98
OBJECTIVES: Open-source Electronic Health Record (EHR) systems have gained importance. The main aim of our research is to guide organizational choice by comparing the features, functionality, and user-facing system performance of the five most popular open-source EHR systems. METHODS: We performed qualitative content analysis with a directed approach on recently published literature (2012–2017) to develop an integrated set of criteria to compare the EHR systems. The functional criteria are an integration of the literature, meaningful use criteria, and the Institute of Medicine's functional requirements of EHR, whereas the user-facing system performance is based on the time required to perform basic tasks within the EHR system. RESULTS: Based on the Alexa web ranking and Google Trends, the five most popular EHR systems at the time of our study were OSHERA VistA, GNU Health, the Open Medical Record System (OpenMRS), Open Electronic Medical Record (OpenEMR), and OpenEHR. We also found the trends in popularity of the EHR systems and the locations where they were more popular than others. OpenEMR met all the 32 functional criteria, OSHERA VistA met 28, OpenMRS met 12 fully and 11 partially, OpenEHR-based EHR met 10 fully and 3 partially, and GNU Health met the least with only 10 criteria fully and 2 partially. CONCLUSIONS: Based on our functional criteria, OpenEMR is the most promising EHR system, closely followed by VistA. With regards to user-facing system performance, OpenMRS has superior performance in comparison to OpenEMR.
Electronic Health Records
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Electronic Prescribing
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Meaningful Use
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Medical Order Entry Systems
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Medical Records