*3.2. Technological Benefits*

Social media and portable devices have become a common source of data collection and feedback results, due to their familiarity in the present population, closeness, and portability. In the medicinal sector, physiological sensors and electronic health records (EHRs) are the main aspects for the follow-up and monitoring of patients. All of these tools have generated a movement towards the revamping of resources. Thus, the mechanism to analyse and manage the information should also evolve. This hectic demand may be met through the use of BD analytics. For example, in hospitals, BD on smartphones can create an effective tool to forward inspirational and medicinal messages to patients, in order to enhance their lifestyles and accomplish a prominent treatment that will enhance their health and welfare [51].

BD has had a significant impact on the advancement of pharmaceutical science, but there are still many challenges to overcome. Our survey indicated the impact of BD on drug discovery and design, and allowed for speculation on future developments in the field. The challenges are related to implementing and maintaining the quality and privacy of data sets, and how the industry must adapt to welcome the BD era. Especially in the pharmaceutical industry, the challenges related to BD initiatives could provide the insights needed to turn the industry around. The anticipated future of BD applications demonstrates their potential for use in drug discovery to speed up drug manufacturing, improving productivity, drug performance, drug safety, clinical analysis, clinical study, and drug personalisation in drug efficacy, as represented in Figure 4.

Drug discovery is expected to be the most benefited field. By using BD, the following advantages can be achieved: 1. BD can help to identify new drug targets; 2. identifying new drug candidates; 3. improving the efficiency of drug discovery processes; 4. improving the accuracy of drug discovery predictions; 5. identifying potential drug interactions; and 6. identifying adverse drug reactions.

As for drug efficacy and performance, there are many benefits of BD in drug efficacy, including detecting patterns in large data sets, identifying new drug targets, and improving the accuracy of predictions regarding how a drug will behave in the body. There are

also many benefits of BD relating to drug performance. The prime benefit is that BD can help researchers and doctors to better understand how drugs work and how they can be improved. BD can also help doctors and patients make more informed decisions about which drugs to use and how to use them. Additionally, BD can help researchers to identify new drug targets and develop new drugs quickly and efficiently.

**Figure 4.** Benefits of BD in Pharmacology, Toxicology and Pharmaceutics.

The benefits of BD in clinical study analysis are as follows: 1. Increased data accuracy, due to the volume and variety of data sources; 2. faster identification of trends and correlations; 3. more efficient and effective clinical trial design and execution; 4. better understanding of patient populations and their needs; and 5. improved decision making, including more timely and effective interventions.

The benefits of BD in drug safety analysis are as follows: 1. Increased accuracy and precision in identifying potential safety concerns; 2. earlier detection of potential safety concerns; 3. more efficient and effective safety surveillance; and 4. better understanding the safety profiles of drug.

There are many benefits of BD in drug personalisation. The key benefit is that it can help improve the accuracy of predictions regarding how a particular drug will work in a particular person. This is because BD can help to improve our understanding of the complex interactions between drugs and the human body. It can also help identify which patients are most likely to respond to a particular drug and which patients may experience adverse effects.
