Department of Pharmacy

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    Pharmacist’s Perspective on Artificial Intelligence and Barriers towards its Adoption in Community Pharmacy
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2025) Areej Noor; CIIT/SP24-RPY-001/LHR; Dr. Imran Nazir; LHR TP 10113
    Artificial intelligence (AI) is remarkably changing pharmacy practice by improving patient-care, clinical decision-making, and medication management. Even though AI has a lot of potential, it is still not widely adopted in community pharmacies, especially in developing countries like Pakistan, because of knowledge gaps, lack of training, and various technological, organizational, and ethical barriers. The aim of this study is to explore the knowledge, attitude, and willingness of community pharmacists (CPs) in Punjab, Pakistan, toward the adoption of AI, and it will also look for barriers that might make it hard to integrate into pharmacy practice. A cross-sectional study was conducted using a structured questionnaire in several cities of Punjab. Most CPs reported having heard of the term AI (95.2%), but most of them have a moderate level of knowledge of AI applications (35.2%). The CPs were very open; their attitude towards adopting AI applications in community pharmacy was strong and positive, but with concerns about the effect of AI on job security. The perceived barriers reported by the majority of CPs were a lack of AI information, difficulty to apply AI, a lack of training, a lack of time, and high running cost. In general, CPs demonstrated that most of them are willing to implement AI and have a positive attitude towards the adoption of AI, but there are still significant barriers limiting its adoption in community pharmacy practice. The findings suggest that there is an urgent need to design training programs, update the curriculum, and conduct seminars to address the challenges and potential of AI applications.
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    Assessment of Psychological Burden in Patients with Type 2 Diabetes Mellitus
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2025) Maham Irshad; CIIT/SP24-RPY-002/LHR; Dr. Nadeem Ahmad; LHR TP 10114
    The aim of the study that to assess the psychological Burden, including stress, anxiety, and depression, fear of hypoglycemia in patients with Type 2 Diabetes Mellitus (T2DM) and the impact of demographic variables and Hypoglycemia fear (HFS) on psychological results. The DASS-21 and HFS scales were used to measure a total sample of 410. Findings showed a large difference between diabetes patients and healthy controls, both in the intensity of stress, anxiety, and depression, which showed that there was a high level of psychological burden related to T2DM. Demographic factors such as marital status, education, occupation, and family history of diabetes were significantly related to psychological states and HFS levels. Patients who scored high in terms of fear always recorded high mean levels of anxiety and depression, as the independent samples T-tests indicated significant levels of group variance. The patterns of HFS further differed among occupation, family history, and income, implying that they are influenced by socioeconomic factors. On the whole, this research identifies the complexity of the interdependence between mental distress, fear, and lifestyle choices in T2DM, which requires biopsychosocial care, specific counseling, and intervention to enhance mental health and glycemic results in diabetic patients.