The Integrated Health Information Platform is gathering almost real-time data for the disease incidence. Also, it is creating the analyzed reports for investigating the potential outbreaks.
The Ministry of Health in India and Family Welfare from last week opted for unveiling an upgraded version for the integrated Health Information Platform. It is going to track more diseases. It is also going to be able to collect near real-time disease surveillance platforms from the country.
The IHIP is going to produce an analyzed report from the real-time information for tracking potential outbreaks of diseases instantaneously. These reports can get integration with the other health surveillance programs.
The World Health Organization is stressing the importance of disease surveillance as a warning system for identifying public health emergencies. This form of surveillance is monitoring and understanding all epidemiology for a condition. It is going to aid in the formation of public health policies and strategies.
The function of IHIP is now looking for the earliest signs of the disease spreading in the small villages of India. It is going to help much in preventing any of the potential outbreaks for the epidemic, according to the Health and Family Welfare Minister Dr. Harsh Vardhan. This is capable of delivering more accurate and reliable information. Nevertheless, it is crucial for a country like India with a population of 1.35billion.
Following the former administration of Trump, in order to bypass the Centers for Disease Control and prevention in COVID-19 reporting, this change is becoming more crucial. The need for automated data and the minimization of the manual processes during the pandemic surveillance got highlight.
According to CDC, eCR- which is working as a counterpart of IHIP in US, is integrating the information from various sources. Also, it is integrating with the systems which are enabling faster disease detection. The facilities are collaborating among the healthcare provider and public health authorities. Also, it is reducing the labor for atomizing the data.
However, the success of this technology in public health surveillance depends on the quality of the data shared among the stakeholders.