An Estimation Model for Hypertension Drug Demand in Retail Pharmacies with the Aid of Big Data Analytics

Papanagnou, Christos I.; Matthews-Amune, Omeiza

doi:10.1109/cbi.2017.18

Cited by 3 publications

(2 citation statements)

References 32 publications

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“…As pharmacists make decisions about medication therapies, the CDSS provides alerts and recommendations, ensuring adherence to best practices and minimizing the risk of adverse events. 32 Pharmacies, equipped with these digital health initiatives, can play a pivotal role in preventive care and health promotion. By analyzing population-level data, pharmacists can identify health trends, implement targeted interventions, and contribute to public health initiatives.…”

Section: Data Analytics and Population Health Managementmentioning

confidence: 99%

The impact of digital health technologies on pharmacy services and patient care

Alsoweih,

Fageehi,

Hadadi

et al. 2024

Int J Community Med Public Health

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This comprehensive review delves into the profound impact of digital health technologies on the landscape of pharmacy services and patient care. The integration of electronic prescribing medication adherence apps, and tele-pharmacy services has revolutionized medication management in pharmacies. This amalgamation has not only streamlined processes but has also significantly minimized errors, leading to enhanced operational efficiency. Pharmacists, equipped with wearable devices, now engage in remote patient monitoring, allowing for personalized interventions and proactive healthcare strategies. The incorporation of genomic data, data analytics, and clinical decision support systems marks a transformative shift towards precision medicine within pharmacies. These technologies empower pharmacists to design tailored treatment plans based on individual genetic profiles, thereby optimizing therapeutic outcomes. As pharmacies increasingly embrace these digital tools, they metamorphose into dynamic healthcare hubs. Beyond traditional roles, pharmacies now offer virtual consultations and actively participate in patient education initiatives. This paradigm shift underscores a commitment to patient-centered care, exemplified by improved medication safety and a more interconnected healthcare ecosystem. The ongoing integration of digital health technologies holds promise for continued advancements in pharmacy services. This trajectory signifies a significant departure towards a more proactive, personalized, and technologically driven approach to patient care. The review underscores the transformative potential of digital health technologies in redefining the role of pharmacies and elevating the standards of patient-centered healthcare delivery.

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Section: Data Analytics and Population Health Managementmentioning

confidence: 99%

The impact of digital health technologies on pharmacy services and patient care

Alsoweih,

Fageehi,

Hadadi

et al. 2024

Int J Community Med Public Health

View full text Add to dashboard Cite

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“…However, pharmaceutical managers these days desire to modify and improve their current marketing communication and implement the brand-building strategies to achieve competitive advantage (Sanyal et al , 2017). Over the past few years, unpredictability of customer preferences and their buying behavior have coincided with the explosion of global digital data (Papanagnou and Matthews-Amune, 2017). On the other hand, one of the major problems of pharmaceutical companies is the optimization of order quantity, stock and inventory levels to decrease the possibility of customer loss because of drug shortage and to prevent the cost of excessive inventories.…”

Section: Introductionmentioning

confidence: 99%

A predictive analytics of physicians prescription and pharmacies sales correlation using data mining

Sohrabi

Vanani

Nikaein

et al. 2019

IJPHM

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Purpose In the pharmaceutical industry, marketing and sales managers often deal with massive amounts of marketing and sales data. One of their biggest concerns is to recognize the impact of actions taken on sold-out products. Data mining discovers and extracts useful patterns from such large data sets to find hidden and worthy patterns for the decision-making. This paper, too, aims to demonstrate the ability of data-mining process in improving the decision-making quality in the pharmaceutical industry. Design/methodology/approach This research is descriptive in terms of the method applied, as well as the investigation of the existing situation and the use of real data and their description. In fact, the study is quantitative and descriptive, from the point of view of its data type and method. This research is also applicable in terms of purpose. The target population of this research is the data of a pharmaceutical company in Iran. Here, the cross-industry standard process for data mining methodology was used for data mining and data modeling. Findings With the help of different data-mining techniques, the authors could examine the effect of the visit of doctors overlooking the pharmacies and the target was set for medical representatives on the pharmaceutical sales. For that matter, the authors used two types of classification rules: decision tree and neural network. After the modeling of algorithms, it was determined that the two aforementioned rules can perform the classification with high precision. The results of the tree ID3 were analyzed to identify the variables and path of this relationship. Originality/value To the best of the authors’ knowledge, this is one of the first studies to provide the real-world direct empirical evidence of “Analytics of Physicians Prescription and Pharmacies Sales Correlation Using Data Mining.” The results showed that the most influential variables of “the relationship between doctors and their visits to pharmacies,” “the length of customer relationship” and “the relationship between the sale of pharmacies and the target set for medical representatives” were “deviation from the implementation plan.” Therefore, marketing and sales managers must pay special attention to these factors while planning and targeting for representatives. The authors could focus only on a small part of this study.

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