Page 24 - IMDR Journal 2025

Research Article
AI IN PREDICTIVE HEALTHCARE PROACTIVE
MANAGEMENT OF TYPE 2 DIABETES

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Anchal Baheti , Ekam Singh , Satyam Kaliya , Varuna Gundecha 1
ABSTRACT
By facilitating early identification, individualized treatment, and real-time monitoring, artificial intelligence (AI) is
revolutionizing the management of type 2 diabetes mellitus (T2DM). Inadequate glucose control and delayed diagnosis are
common outcomes of traditional diabetes therapy, which can cause serious consequences. By maintaining blood sugar levels,
avoiding problems, and improving treatment regimens, AI-driven prediction models, wearable technology, continuous
glucose monitors (CGMs), and decision support systems improve patient outcomes. This study investigates how well AI-
based healthcare models can manage diabetes, emphasizing how they can lower hospital stays and medical expenses.
However, issues including algorithmic bias, data privacy, patient trust, and regulatory concerns need to be addressed.
Expanding AI-driven preventive healthcare solutions, bolstering data security, and improving AI transparency should be the
main goals of future research. AI has the ability to completely transform diabetes care by making it more proactive,
individualized, and economical if used responsibly and successfully.
KEYWORDS Artificial Intelligence (AI), Type 2 Diabetes Mellitus (T2DM), Predictive Healthcare, Personalized
Treatment, Continuous Glucose Monitoring (CGM)

INTRODUCTION hospitalization rates, lowers quality of life, and increases the
risk of early death. This emphasizes how urgently new
One of the most common chronic metabolic diseases in the
healthcare solutions that go beyond traditional approaches
world, type 2 diabetes mellitus (T2DM) afects millions of and offer proactive, data-driven Type 2 diabetes
people and has a substantial financial impact on healthcare management techniques are needed.
systems. Type 2 diabetes happens when the body stops
responding properly to insulin — a hormone that helps The Importance of AI in Diabetes Treatment
control blood sugar. Because of this, sugar builds up in the Artificial Intelligence (AI) has become a disruptive force in
blood, leading to high blood sugar levels. If diabetes isn't healthcare, opening up new avenues for individualized
managed well, it can slowly damage the body. Over time, it therapy, diagnostics, and illness prevention. In contrast to
may lead to serious issues like kidney problems, nerve pain, conventional diabetes care methods that depend on routine
heart disease, or even vision loss. examinations and generic treatment regimens, AI-driven
Back in 2021, more than 537 million people around the predictive healthcare models use enormous volumes of
world were living with diabetes, according to the patient data to identify high-risk individuals, predict the
International Diabetes Federation. And the number is only course of the disease, and suggest preventative measures.
going up, partly because more people are getting older, The following are some of the main issues with conventional
moving less, and gaining weight. diabetic care that AI can help with:
Doctors usually suggest checking blood sugar regularly and Delayed Diagnosis
making lifestyle changes. While this helps, it’s often not A lot of people don't receive a diagnosis until serious
enough — especially when many people don’t even find out
problems arise. Using genetic information, lifestyle factors,
they have diabetes until it’s already caused harm. By then,
and electronic health records (EHRs), AI-based predictive
hospital visits become more common, life gets harder, and analytics can identify early warning indicators.
the chances of living a long, healthy life start to drop. This
emphasizes the pressing need for cutting-edge medical One-Size-Fits-All Treatments: Instead of being customized
treatments that go beyond traditional approaches and offer to meet the needs of each patient, current treatment methods
proactive, evidence-based Type 2 diabetes management are frequently generic. Based on ongoing data analysis,
plans. machine learning (ML) models can offer individualized
insulin dosage recommendations, dietary modifications, and
AI's Role in Diabetes Treatment
exercise regimens.
With its potential to improve illness prevention, diagnosis, Ineffective Monitoring
and individualized treatment, artificial intelligence (AI) has
become a disruptive force in the healthcare industry. Many A lack of knowledge or access to healthcare facilities causes
patients receive their diagnoses at a late stage, which raises many patients to struggle with self-monitoring. Smart

Corresponding author: bahetianchal10@gmail.com
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Institute of Management Development and Research, Pune
Cite this Paper :
Anchal, B., Ekam, S., Satyam, K., Varuna, G. (2025)
AI in Predictive Healthcare: Proactive Management of Type 2 Diabetes, JMDR
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