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Published on: Sep 19, 2021
2 minute read
By: Second Medic Expert

What Is Hyperglycemia, And How Is It Controlled?

What is hyperglycemia, and how is it controlled?

Hyperglycemia is an elevated level of glucose in the blood. Diabetes mellitus and impaired insulin secretion are the most common causes, and it can be controlled through diet and exercise.

Diabetes management consists primarily of following a carefully planned individualized diet that helps prevent over-or under-nutrition as well as traditional diseases such as heart disease, stroke, certain cancers, high blood pressure, obesity, and others. Remaining physically active is also crucial to maintaining optimal wellness for people with diabetes--as well as those who want to keep their diabetes from getting worse!

Hyperglycemia is when your blood sugar levels are at least 120 mg/dL. This is classified as a non-ketotic diabetic coma. It can be controlled by eating healthy (eating fruit, vegetables, and sugars), regulating insulin infusions, and taking medications like metformin to decrease the amount of sugar in your bloodstream or sulfonylureas that stimulate the pancreas' beta cells to produce more insulin. Hyperglycemia is the result of too much glucose in your bloodstream. You can control it through diet and exercise, but diabetes treatment medication is often necessary.

Your body regulates blood sugar by releasing insulin when you eat carbohydrates. This makes cells release their energy stores to make up for what's consumed. When this isn't enough, insulin levels are boosted with medications, or doctors instruct patients to start injecting themselves with insulin instead." Hyperglycemia is a condition in which the blood sugar level becomes dangerously high. To control hyperglycemia, you can either reduce your food intake or increase your exercise. Both methods are effective at restoring the body's proper functioning and managing blood glucose levels.

Hyperglycemia is typically caused by diabetes, or more specifically by insulin problems, too much alcohol consumption, dehydration, or intense exercise. It's controlled by monitoring your blood sugar levels with a finger prick test looking for unhealthy spikes and rapid drops in blood sugar levels.

Hyperglycemia can generally be controlled with diet and lifestyle changes because it's primarily characterized by increased glucose levels in the bloodstream, not severe drops in glucose levels that typically happen for diabetes patients. This means that eating fewer carbs (especially refined sugars), exercising more often, and managing stress can usually regulate hyperglycemic symptoms like fatigue and headache without the need to take medication like insulin injections.

Hyperglycemia is controlled by diet and various drugs, such as insulin and Metformin. Hyperglycemia can be caused by not taking enough insulin or if you are eating food that contains sugars like candy, soda, cake, etc.

Some common causes for Hyperglycemia are eating too many high glycemic index foods, having inadequate control of type 1 diabetes through insulin injections, obesity, and childbirth.

Diabetics should monitor their blood sugar levels at least four times per day using a self-monitoring kit so that they can quickly treat it before it reaches very dangerous or even fatal levels. If you suspect you have hyperglycemia without checking your blood sugars yet take immediate steps to keep your glucose under control by drinking water, breaking carbohydrates up in small portions throughout the day to decrease spikes in insulin production, breaking down proteins in smaller doses

When the body metabolizes carbohydrates into glucose, any excess of this sugar in the bloodstream (and cells) will cause blood sugar levels to soar. There are four ways to reduce small amounts of hyperglycemia--medications like metformin or cromolyn sodium; physical activity; diet; and weight loss. Dietary restriction, for example by reducing carbohydrate intake, can lower blood sugar up to 60% (depending on how many carbohydrates you eat).

Controlling hyperglycemia is done by lowering the amount of glucose that enters the bloodstream, also known as prevention through healthy eating habits and regular physical activity. Controlling medication can be used to keep blood glucose levels within the normal range if they're too high or too low. For patients with diabetes, controlling insulin dosage or adding diabetes medications may help to control hyperglycemia more effectively than diet alone. It's important for people on any medication regime not to change the dosage on their own but instead check with their doctor first so as not to put themselves at risk for adverse side effects that may result from improperly regulated dosages.

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How Artificial Intelligence Is Transforming Patient Care in India

As a clinician working closely with patients across urban clinics and remote teleconsultation setups, I have seen firsthand how delayed diagnosis, fragmented follow-up, and specialist shortages affect outcomes in India. Artificial intelligence is not a futuristic concept in Indian healthcare anymore. It is actively reshaping how we diagnose diseases, monitor patients, and prevent complications.

AI, when used responsibly under clinical supervision, is becoming a critical support system for doctors and a powerful safety net for patients navigating a complex healthcare ecosystem.

Why India’s Healthcare System Needs AI

India’s healthcare challenges are deeply structural. A large population burdened by lifestyle diseases, combined with uneven access to medical expertise, creates gaps that traditional systems struggle to bridge.

In daily practice, we increasingly see patients presenting late with diabetes, hypertension, heart disease, or cancer. Many ask a simple but important question: why was this not detected earlier? The answer often lies in limited screening, overloaded clinicians, and lack of continuous monitoring.

Chronic conditions dominating Indian clinics today include:

Diabetes affecting over 100 million individuals.
Hypertension rising even among young adults.
Cardiovascular disease driven by late detection.
Increasing cancer incidence with delayed diagnosis.

AI matters here because it supports earlier identification of risk patterns, reduces diagnostic delays, and allows clinicians to focus on decision-making rather than data overload.

How AI Is Changing Medical Diagnosis

One common concern patients raise during consultations is whether AI can truly diagnose diseases accurately. In practice, AI does not replace a doctor. It acts as a high-speed analytical assistant.

AI in Imaging and Diagnostics

AI systems can rapidly analyse:

X-rays and CT scans.
MRI images.
Mammograms.
Pathology slides.
Cardiac and neurological imaging.

These tools flag abnormalities within seconds, allowing doctors to prioritise critical findings. Clinical studies published in peer-reviewed journals have shown that AI models can match specialist-level accuracy for specific imaging tasks when used correctly.

From a physician’s perspective, the real benefit is not speed alone. It is consistency. AI reduces the risk of missed findings during high-volume diagnostic workflows, especially in resource-constrained settings.

Can AI Monitor Patients Outside Hospitals

Patients managing chronic illness often ask whether technology can help them avoid repeated hospital visits. AI-enabled remote monitoring is one of the most meaningful advances in this area.

AI-Supported Remote Patient Monitoring

AI continuously evaluates trends in:

Blood pressure.
Heart rate variability.
Blood glucose patterns.
Oxygen saturation.
Physical activity and sleep quality.

Rather than reacting to a single abnormal value, AI identifies worsening trends over time. Clinically, this allows early intervention before complications escalate.

Evidence from global health system studies shows that continuous monitoring can significantly reduce avoidable hospital admissions, particularly for diabetes, heart disease, and elderly patients.

Using AI to Predict and Prevent Chronic Diseases

Preventive healthcare remains underdeveloped in India. Most patients seek care after symptoms appear. AI helps shift this model.

By analysing medical history, lifestyle habits, vitals, and environmental factors, predictive models can estimate:

Future heart attack risk.
Progression of diabetes.
Decline in kidney function.
Stroke probability.
Asthma exacerbation triggers.

Patients often ask if AI can really prevent disease. Prevention here means early warnings. When risk patterns are detected early, doctors can adjust treatment plans, recommend lifestyle changes, and prevent irreversible damage.

Personalised Treatment in a Diverse Indian Population

Indian patients differ widely in genetics, diet, stress patterns, and cultural habits. Standardised treatment protocols often fall short.

AI supports personalised care by analysing:

Medication responses.
Dietary intake.
Blood markers.
Sleep and stress trends.
Coexisting medical conditions.

For example:

In diabetes care, AI helps personalise carbohydrate distribution and medication timing.
In hypertension, it identifies sodium sensitivity and stress-related spikes.
In hormonal conditions like PCOS, it aligns nutrition and activity with cycle patterns.

From a clinical standpoint, personalised insights improve adherence and reduce relapse rates.

AI-Enabled Telemedicine and Smarter Consultations

Telemedicine has become an essential part of care delivery in India. Patients frequently ask whether online consultations are as effective as in-person visits.

AI enhances telemedicine by:

Structuring symptom inputs before consultations.
Routing patients to the appropriate specialist.
Generating concise medical summaries for doctors.
Supporting follow-up reminders and medication adherence checks.

When used correctly, AI reduces diagnostic delays and improves consultation efficiency without compromising safety.

Expanding Healthcare Access Beyond Cities

A major question in public health is whether AI can truly improve rural healthcare access. In practice, it already is.

AI enables:

Remote diagnostics supported by portable devices.
Virtual specialist consultations for rural clinics.
Smartphone-based imaging and screening tools.
AI-guided triage in underserved regions.

By reducing dependence on physical proximity to specialists, AI helps bridge longstanding geographical barriers in India’s healthcare system.

Safety, Ethics, and the Role of Doctors in AI Care

Patients rightly express concern about safety, privacy, and over-reliance on technology. These concerns are valid.

Responsible AI use in healthcare requires:

Transparent algorithms.
Explicit patient consent.
High-quality, verified medical datasets.
Strict data privacy safeguards.
Continuous clinical supervision.

In ethical practice, AI outputs never replace medical judgment. Doctors remain accountable for decisions. Human-in-the-loop verification is essential to ensure patient safety and trust.

What This Transformation Means for Indian Patients

Artificial intelligence is fundamentally changing patient care in India by making healthcare more proactive, more precise, and more accessible. From early diagnosis to personalised treatment and continuous monitoring, AI empowers both patients and clinicians with data-backed clarity.

SecondMedic’s patient-first approach integrates AI as a clinical support system, not a replacement for doctors. By combining medical expertise with digital intelligence, the goal remains simple: better outcomes, earlier intervention, and care that adapts to each patient’s real-world needs.

As clinicians, our responsibility is to ensure that technology serves patients ethically and effectively. When used with care and oversight, AI has the potential to redefine healthcare delivery across India in a way that is inclusive, preventive, and sustainable.

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