Healthcare system can be enhanced vastly with the use of modern information technology. Still now in underdeveloped and developing countries, traditional paper based system is being used in healthcare. Although very few organizations use computer based system, they could not establish a ubiquitous network among patients, physicians and government. Cloud computing is the emerging technology which can be used to develop a heterogeneous network to improve the system. In this article, a three tier cloud based application "eHealth Cloud" has been developed which will involve different parties to improve old-fashioned healthcare system. RIA (Rich Internet Application) based client, SimpleDB based server and a logic layer have been designed to build an easily accessible network. By using the "eHealth Cloud", enormous electronic medical record (EMR) will be stored everyday. This huge size of data can lead us with new research opportunities. Data mining from the large amount of EMR has been proposed. The process of data mining, a standard for exchanging data and a mining model is described. Finally, the challenges and future research options are directed.

Leaf and nodal segments of two months old field grown seedlings of Plumbago indica L. were cultured on agar solidified MS supplemented with different concentrations and combinations of NAA, IAA, 2,4-D and picloram, and BAP and Kn. The nodal segments produced either multiple shoot buds (MSBs) or callus of different nature depending on the combinations of plant growth regulators (PGRs). The callus of light green and nodular shape, on further subculture on wide range of PGRs supplemented media, differentiated into MSBs. These MSBs underwent rapid elongation on different PGRs supplemented media. The elongated shoot buds were rooted on transferring in rooting medium and were acclimated in field with 90% survivability. The leaf segments, however, produced only white and friable calluses failed to undergo any differentiation in some of the media combinations.

Background: Elderly people are posing a significant health burden in our country for their multi morbidity as economic growth has increased our life expectancy. Pattern of multi morbidity of this older people varies according to geography, ethnicity, culture and life style. Aim: The aim of this study was to identify the prevalence and pattern of multi morbidity of elderly patients admitted in a tertiary care hospital. Method: 50 random cases of elderly patients aged more than 60 years admitted in medicine and allied wards of Dhaka medical college hospital were observed at this cross-sectional study from January 2017 to June 2017(total 6 months period). Data were reviewed and analyzed using simple frequency and percentage. Protocol was reviewed by institutional ethical board (IRB) of Dhaka medical college hospital. Result: A total number of 50 elderly patients with age ranging from 60 to 95 years were observed with male and female ratio 1.3:1 having multi morbidity among 92.0% patients and female is more affected than male. Hypertension, ischemic heart disease, diabetes mellitus and stroke were found most common diseases as individual. Hypertension and diabetes mellitus was found as the most common multi morbidity pattern followed by hypertension and IHD, stroke & diabetes mellitus. Conclusion: This study sheds light on priority needs of elderly patients in terms of medical facility in tertiary care hospital of Bangladesh. Journal of National Institute of Neurosciences Bangladesh, January 2021, Vol. 7, No. 1, pp. 56-59