Actively coping with population aging and promoting high-quality development of the aging business and industry are not only the inherent requirements for building a positive aging society with Chinese characteristics in the new era, but also an important driving force for comprehensively optimizing the supply of urban and rural elderly services. From the perspective of active aging, this paper analyzed the theory of medical social work intervention in elderly care services through three dimensions: micro, meso, and macro, and elaborated the practical path of medical social work intervention in elderly care services. It was considered that its own service failed to give play to its professional characteristics, limited social awareness and authority, vague responsibility subject among industries, and inconsistent institutional regulation. Based on this, it was suggested that the key to medical social work intervention in elderly care services lied in clarifying the goal of training medical talents, creating brand services to enhance the visibility of medical social workers, defining the responsible body, and exploring the standardized system construction.

Objective The experiment project was designed to explore the variation of NaI (Tl) gamma spectrometer channels with environmental temperature. ⁶⁰Co and ¹⁵²Eu were used to verify the reliability of the correction methods. Methods Two correction methods were applicated, which were curve fitting correction method and known measurement peak correction method. Results The experimental results showed that temperature changes had an effect on NaI (Tl) measured spectra peak. The relative peak will shift to the right at 5℃ by 9.6%, and to the left at 60℃ by 16%, with the reference temperature set at 25℃. The two methods are based on the channel change due to temperature changes, and they could effectively correct the temperature peak-drift. Conclusion In order to make the measured spectrum information accurate and reliable in field monitoring, it is suggested to monitor the environmental temperature so as to correct the measured data.