Informatics Publishing Limited

M. Salomi ¹, S. Appavu Alias Balamurugan ²

Affiliations
1 Department of CSE, Velammal College of Engineering and Technology, Madurai – 625009, IN
2 Department of IT, KLN College of Information and Technology, Madurai – 630612, IN

Abstract

Background/Objectives: To describe about the importance of big data analytics in healthcare, discuss the advantages and methodologies, describe examples provided in the literature, briefly discuss the challenges, and offer conclusion. Methods/Statistical analysis: A survey on methods that supports healthcare value by reducing cost at the same or better quality using big data techniques. Findings: Right procedure to guide the beginners of medicine and enhance Research and Development productivity in discovery, development, and safety in healthcare. It delivers the needed outcomes for each patient using evidence-based care, while ensuring safety. Improvements/Applications: Various approaches discussed can be applied in different fields of healthcare analytics in order to obtain sustainable answer for morbidity cases and also provide a better decision support system saving lives at lower costs.

Keywords

Big Data, Evidence Based Care, Genomic Analytics, Pre-Adjudication and Remote Patient Monitoring

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B. Thangabalan ¹, M. Salomi ¹, N. Sunitha ¹, S. Manohar Babu ¹

Affiliations
1 Department of Pharmaceutical Analysis, SIMS College of Pharmacy, Mangaldas Nagar, Guntur-522 002 (A.P.), IN

Abstract

A simple, fast and precise RP-HPLC method was developed for the quantification of Itraconazole in pure and pharmaceutical dosage form. The quantification was carried out using Dionex C18 4.6 X 250mm, 5μm enhanced polar selectivity column and mobile phase comprised of methanol and pH 7.5 potassium dihydrogen phosphate in the ratio of 40:60 and degassed under ultrasonication. The flow rate was 1.5ml/min and the effluent was monitored at 306nm. The retention time of Itraconazole was found to be 5.2 min. The method was validated in terms of linearity, precision, accuracy, specificity, robustness, limit of detection and limit of quantitation in accordance with ICH guidelines. Linearity of Itraconazole was in the range of 200-600 μg/mL. The percentage recoveries of Itraconazole were 99.33% to 99.66% from the capsule formulation. The proposed method is suitable for determination of Itraconazole in pharmaceutical dosage form.

Keywords

Chromatography, Itraconazole, Method Validation.

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