Telemedicine is considered to be the remote diagnosis and treatment of patients by means of telecommunications technology, thereby providing substantial healthcare to low income regions. Earliest published record of telemedicine is in the first half if the 20 th century when ECG was transmitted over telephone lines. From then to today, telemedicine has come a long way in terms of both healthcare delivery and technology. A major role in this was played by NASA and ISRO. The setting up of the National Telemedicine Taskforce by the Health Ministry of India, in 2005, paved way for the success of various projects like the ICMR-AROGYASREE, NeHA and VRCs. Telemedicine also helps family physicians by giving them easy acess to speciality doctors and helping them in close monitoring of patients. Different types of telemedicine services like store and forward, real-time and remote or self-monitoring provides various educational, healthcare delivery and management, disease screening and disaster management services all over the globe. Even though telemedicine cannot be a solution to all the problems, it can surely help decrease the burden of the healthcare system to a large extent.

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Background: It has always been suggested that sleep deprivation has a deleterious effect on the ability of health workers who are involved in multitude of life-saving tasks, which often require more attention and concentration. The Centers for Disease Control and Prevention and the national health portal (Government of India) have now recognized sleep deprivation as a public health epidemic. Materials and Methods: A cross-sectional study was done including health-care professionals working night shifts on rotation at a tertiary level health-care facility, using a semi-structured questionnaire to test the status of their sleep deprivation, cognitive ability, and quality of life as a pilot study. Stratified random sampling was used to select the study participants and health-care professionals with other factors which may interfere with sleep deprivation testing were excluded. Data were analyzed using IBM-SPSS, and required statistical tests were applied (Pearson Chi-square, Fisher exact, Spearman correlation, and Wilcoxon signed-rank test). Results: About 95.12% of participants reported < 6 h of sleep post night shifts, of which 51.2% were found to show signs of sleep deprivation. Of this 51.2%, 28.57% were also found to have lower cognitive function scores, and statistically significant lower cognitive scores were observed during night shifts than during day shifts. The median value of the Montreal cognitive assessment (MOCA) score during the night shift was 27 (interquartile range [IQR] = 4) and the median value of MOCA score during the day shift was 29 (IQR = 1). A poor QOL was observed in 17.07% of the study participants, and it was found to have a significant positive correlation with hours of sleep obtained. Conclusion: The results from the present study points towards a significantly high burden of sleep deprivation among health-care professionals working rotational shifts (51.2%). This warrants a need for further evaluation on larger populations and adoption of comprehensive measures including preventive and promotive aspects like sleep counselling and yoga/meditation for management.