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Published on: Nov 10, 2021
2 minute read
By: Second Medic Expert

Understanding Hemogram

A hemogram can tell you a lot about your blood. For instance, red and white blood cells, as well as platelets (also called thrombocytes), will be counted and examined for size, shape, volume, and degree of organization. Specific factors that may affect these parameters include a total number of erythrocyte progenitor stem cells; RBC membrane stiffness; frequency of RBC production; distribution and frequency of phagocytosis (cellular breakdown); distribution and type of leukocytes (white blood cells) in circulation; vitamin deficiencies like folic acid or B12 deficiency. The number of toxic substances such as lead poisoning can also be analyzed from a hemogram.

Your hemoglobin levels should be high and your white cell count should be low. It's very important to have a blood test done when you're pregnant to make sure that you don't have any type of disease that the blood could transmit to the baby through the placenta, such as hepatitis B or C, HIV/AIDS, syphilis, or other diseases.

It's also important when giving birth if one is Rh-negative and hasn't been vaccinated against it (if they can't remember their past). If they were exposed in pregnancy and gave birth with an Rh-positive partner, there's a chance for their newborn baby to receive too many RBCs from mom and develop jaundice/anemia;

A hemogram is a blood test that measures the hematocrit, hemoglobin levels, and other substances in the blood (such as total protein and red blood cells). Hemograms can be differential or comprehensive. Comprehensive: performs a complete analysis of all forms of an organism's entire circulating cellular mass. Differential: analyzes two sources from one specimen- for example, plasma and white cells, platelets and red cells, prothrombin time combined with partial thromboplastin time (PTT), D-dimer level with complete lipid profile to provide a clear diagnosis of possible metabolic liver problems.

A blood count measures the number of each type of cell found in one cubic millimeter (1/10th of a teaspoon) or 500 microliters (a little less than half a cup) of whole blood. The numbers are reported as cells per cubic millimeter, so you need to know how many millions there are to divide by 10 to get the actual headcount. In this way, for example, someone under 20 could have 1.0x1012 neutrophils and have a CBC that says they have 10x109 neutrophils per cubic millimeter."

The blood count may reveal, for example, an abnormally high number of red blood cells (confirmatory diagnosis) or determinations made by routine inspection that are not obvious without the additional information present in the hemogram. A hemogram is typically conducted to investigate an abnormal indication on a CBC. For instance, if you have very low white counts and no cause for this can be determined using other lab tests like a peripheral smear or bone marrow biopsy, it's possible that your doctor will perform a complete hemogram. Most often abnormalities are seen on the CBC.

When you're involved in extreme sports like skateboarding, your chances of getting injured are much greater than if you're at the pool or sipping tea. Hematoma is a condition that usually arises from some form of blunt force or direct trauma-related injury to the muscles and/or bones due to the high blood vessels around those areas. This injury can cause swelling which creates pressure on these vessels causing red blood cells to either leak into the soft tissue, tissues fluids, or even lead to a blocked flow of fresh oxygenated blood through these vessels if not treated promptly with an incision.

A hematocrit test analyzes the volume of red blood cells in one cubic millimeter of blood. Red blood cells contain hemoglobin, which carries oxygen and carbon dioxide to and from tissues and organs. The more severely an individual is afflicted with anemia, the lower the percentage of red blood cells they would have in one cubic millimeter of their own cardiac tissue.

If you endure a deep cut on your arm, your body will release stress hormones such as cortisol or epinephrine that prepare your immune system for increased levels of intense activity. These types of stress hormones also trigger a large release of iron from storage sites on red blood cells so that enough iron is available to help form new erythrocytes.

A haemogram is a study of the cellular inclusions in one's blood based on their shape, color, size, and specific gene expression. This process involves pumping a person's blood through a machine (this machine includes some spinning disks that separate out each type of cell for study). However, this test is not commonly done. Instead, analysis is usually limited to basic counts of red and white blood cells as well as platelets.

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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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