Page 35 - IMDR Journal 2025

Research Article
helps in timely check-ups or treatments. When patients feel 3. Moreover, as noted by Ransbotham et al. (2021),
cared on hearing from their clinic regularly, it builds the trust organizations leveraging AI analytics reported significant
for the clinic. Some people might need extra help. By time and cost savings due to improved decision-making
watching closely, healthcare teams can spot who’s speed and precision. These studies underscore the shift from
struggling and reach out early. Clear, regular contact helps intuition-based marketing to a data-driven, financially
build strong, lasting relationships. It also makes it easier for optimized model.
people to manage their health in the long run. 4. Expanding on this, Kumar & Khera (2022) highlight that
Retention Techniques AI tools improve personalization and responsiveness in
● Automated Follow-Ups Automatic follow-up messages healthcare messaging, which directly influences patient
trust and loyalty. Furthermore, Shukla et al. (2020)
help patients remember their appointments and treatments.
demonstrated how hospitals using AI monitoring tools saw a
They can be sent through email, text, or app alerts. This
helps reduce missed visits and keeps people on track with 35% reduction in campaign expenditure while maintaining
their care. It also gives clinics a way to check in after or increasing engagement rates.
treatment, making sure patients are healing well.. By
maintaining consistent engagement, AI- driven follow-ups ANALYSIS AND DISCUSSION
strengthen the patient-provider relationship, fostering trust
and reliability. Additionally, these automated reminders can ❖ Real-Time Campaign Monitoring via AI
be customized based on patient history, ensuring a more AI tools provide healthcare marketers with intelligent
personalized and effective communication strategy.
dashboards that evaluate campaign performance metrics
● Tailored Content Delivery AI enhances patient such as click-through rates, engagement levels, and patient
education by delivering personalized content based on conversions in real-time. These systems continuously gather
patient preferences and health conditions. By analyzing past data from various channels and use machine learning
interactions and feedback, AI can recommend relevant algorithms to generate insights. With real-time monitoring,
articles, videos, or wellness programs that empower patients marketers can instantly detect underperforming campaigns
to make informed healthcare decisions. Personalized and make timely adjustments. This includes switching
content delivery helps patients stay engaged with their platforms, adjusting messaging, or pausing ineffective ads.
healthcare journey, improving adherence to treatment plans Overall, real-time monitoring ensures that healthcare
and preventive care measures. This approach builds patient campaigns are agile, targeted, and cost-effective, leading to
trust, as they receive valuable and relevant information better resource utilization.
tailored to their needs. AI-driven content strategies
ultimately improve patient satisfaction and encourage long- ❖ Economic Efficiency
term engagement with healthcare providers. The integration of AI significantly reduces the manual
workload involved in monitoring and modifying
● Real-Time Campaign Performance Monitoring In
today’s digital landscape, the healthcare sector is rapidly campaigns. Automated data analysis saves time and allows
embracing Artificial Intelligence (AI) to enhance marketing for quicker response to market dynamics, thereby reducing
performance and patient engagement. One of the most operational costs. Furthermore, AI improves the precision of
transformative applications is AI-powered real-time audience targeting, ensuring that marketing budgets are
campaign performance monitoring. This technology allows spent on the most relevant segments. This minimizes budget
healthcare organizations to track, analyse, and optimize wastage and maximizes return on each dollar invested. As a
their marketing campaigns instantly, thereby improving result, healthcare organizations can achieve greater output
from their marketing activities with lower input, making
return on investment (ROI), reducing wasteful expenditure,
their strategies economically sustainable.
and fostering financial growth. This research explores the
economic and strategic value of using AI for real-time ❖ Financial Growth
monitoring of healthcare marketing campaigns.
AI contributes to financial growth by enhancing marketing
The Role of AI in Real-Time Campaign Performance effectiveness and generating higher patient acquisition rates.
Monitoring in Healthcare Marketing Personalized content and targeted messaging foster patient
1. Previous studies have acknowledged the transformative engagement and satisfaction, which in turn leads to better
role of AI in healthcare, primarily in diagnostics, treatment retention and loyalty. Reduced no-show rates, timely
personalization, and administrative automation (Topol, appointment reminders, and behaviour-based follow-ups
2019). However, recent literature is beginning to highlight also contribute to consistent revenue generation. Over time,
its marketing potential. these enhancements lead to an increase in patient lifetime
value and a positive impact on the organization’s bottom
2. According to Deloitte (2023), over 60% of healthcare
organizations implementing AI in marketing observed line. Thus, AI not only improves marketing performance but
higher engagement rates and a 20- 30% increase in also drives long-term financial stability.
campaign ROI. AI dashboards and predictive models allow ❖ Case Study Fortis Health
marketers to visualize real-time performance metrics, Fortis Health, a leading hospital network in India, integrated
automatically adjust campaign variables, and predict an AI-driven marketing platform to monitor its preventive
outcomes based on historical data. health check-up campaigns. Before using smart systems, the

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