Today’s technology offers a multitude of methodologies to assure the wellbeing of many demographic groups, but regarding the elderly it often shifts towards monitoring and encouraging active aging. Much of the youth from countries like Romania and the Republic of Moldova move abroad for better opportunities but in turn become less able to aid their older generation back home. The problem is that the existing sensor technology does not meet the needs of the youth living abroad who are caring for their elderly relatives. Fragmented technologies for monitoring and barriers of adoption do not bode well with the needs of the elderly. The aim of the study is to determine how health monitoring sensors can impact long-distance elderly care for separated families. The research question is: how can health monitoring sensors impact long-distance elderly care of relatives according to young expats? The method chosen was a convergent mixed methodology which uses qualitative data extracted from interviews and quantitative interpretation from a questionnaire based on the technology acceptance model (TAM). The sample includes 30 respondents. The results show that 69% of our respondents are dealing with high concern for their elders which is further enunciated by difficult communication for 60% of them and a limited ability to help for 87% of them. A majority, precisely 71%, did prove to be open to using technology in order to bridge the distance, however, the perception towards existing sensors is positive only up to 47%, in fact 44% felt that it is neither good nor bad and 9% had a negative impression. Despite their current impressions, a staggering 93% of the respondents mentioned that the use of sensors will have a positive potential impact on multiple areas of elderly care within the studied regions. The interesting fact is that there were no impressions of a negative impact as the remaining 7% were neutral about it. Potential risks were also mentioned, although fragmented in nature, such as ethical concerns (7%), negative health impact from sensor use (7%), data security concerns (14%), worry about emergencies (16%), inaccurate results (26%), self-treatment (7%) and cost concerns (12%). Despite the risks, 93% of the respondents still claimed a high intention to use the sensors in the future and it goes to show that with a well-developed device these risks can be overcome. Ultimately the results imply that the use of sensors in long-distance elderly care could impact the speed of emergency support (8%), it could reduce worry and concern (22%), help safeguard elders (19%), promote active aging (19%) and prevent certain health conditions (32%). In terms of desirable features, an array was mentioned, showing much room for innovation. The most polarizing desired features mentioned were wearable size (12%), the tracking of varying health markers (13%) and personalized data analytics (13%). These results were further supported by the TAM. The TAM indicates that perceived usefulness and perceived ease of use are both good predictors for behavioral intention to use, while perceived risk did not conclusively prove to influence it. Perceived usefulness has the strongest effect on behavioral intention to use and it indicates that the respondents’ desire to use the technology is driven by the benefits it would provide and the assumption that the product would be working to fit their needs. The study highlights a potential rate of technological acceptance in tandem with a direction of development by confirming the effects of perceived usefulness and perceived ease of use on behavioral intention to use. This should serve as important information to any organization considering the development and application of health-monitoring technology along with its commercialization within the studied region.