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@article{207158,
        author = {Sangham Sravana Kumari and Kummara Shilpa and Gaddam Kranthi Kumar and Shaik Nusurath and Thota deepika Roy and Chagamreddy satish and Sripathi Sudhesh Royal and Pandikunta Demathi},
        title = {The effect of the digital technologies and AI on pharmacy operations and work flow efficiency},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {4521-4526},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=207158},
        abstract = {Digital technologies and artificial intelligence (AI) are transforming traditional manual pharmacy work into highly efficient, patient-oriented systems. In the past, pharmacies relied on handwritten prescriptions and face-to-face interactions, which resulted in frequent errors and inefficient processes. The first steps toward safer and more reliable practice were the adoption of electronic health records, e-prescribing, barcode verification, and automated dispensing cabinets. Today, machine learning and AI-based clinical decision support and predictive analytics allow pharmacists to predict drug interactions, personalize treatment, and better manage medication regimens. Telepharmacy platforms, mobile health applications, and wearable devices are enhancing access to pharmaceutical care, especially in under-served or remote communities, while enabling pharmacists to assume a broader clinical role such as disease management and patient education. In the future, improved AI tools, robotics, and precision medicine can continue to transform pharmacy practice to be more automated and efficient in drug discovery, and to provide more customized treatment. Even though challenges remain around data privacy, interoperability, and ethical use, the future of pharmacy will be characterized by a balance between technological innovation and human expertise, providing safer, more efficient, and more patient-focused care.},
        keywords = {Digital pharmacy, Artificial intelligence in  pharmacy, Electronic health records (EHRs), Clinical decision support systems (CDSS), Telepharmacy, Mobile health (mHealth) applications, Wearable devices, Automated dispensing cabinets (ADC), Medication management technologies, Precision medicine.},
        month = {July},
        }