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

Understanding Hemogram

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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.

Read Blog
Machine Learning in Healthcare India: A New Era of Predictive and Personalized Care

Machine Learning in Healthcare India: A New Era of Predictive and Personalized Care

Machine learning is driving one of the biggest transformations in Indian healthcare. Machine learning in healthcare India is improving diagnostics, predicting diseases early, and enabling personalized treatment plans based on large volumes of medical data. India’s enormous population, diverse health patterns, and rising burden of lifestyle diseases make ML an essential technology for improving care outcomes.

SecondMedic integrates machine learning across diagnostics, risk scoring, preventive care, and remote monitoring to create intelligent, data-driven healthcare experiences.

Why Machine Learning Is Crucial for India’s Healthcare

India faces major challenges: increasing chronic diseases, low doctor-to-patient ratio, and gaps in early diagnosis. Machine learning helps overcome these limitations through automated analysis and predictive insights.

ML supports:

  • Accurate disease prediction

  • Faster diagnosis

  • Personalized treatment

  • Proactive health management

  • Population-level insights
     

These benefits significantly improve care outcomes.

Machine Learning in Diagnostics

ML excels at interpreting complex medical data faster than traditional methods.

ML improves diagnostics by:

  • Identifying abnormal patterns

  • Analyzing imaging scans

  • Interpreting lab values

  • Comparing historical trends

  • Supporting clinical decisions
     

This reduces misdiagnosis and saves time.

Predictive Healthcare with Machine Learning

Predictive analytics is one of the most powerful ML applications.

ML predicts risks for:

  • Heart disease

  • Diabetes

  • Kidney disorders

  • Thyroid imbalances

  • Mental health issues

  • Respiratory disorders
     

SecondMedic provides predictive scoring for early detection.

Personalized Treatment Planning

Machine learning tailors treatment to individual needs.

ML personalizes care based on:

  • Age and genetics

  • Lifestyle patterns

  • Vitals and wearable data

  • Sleep and stress levels

  • Previous medical history
     

This ensures more accurate and effective treatment.

ML in Remote Patient Monitoring

With the rise of home healthcare, ML analyzes continuous vitals data.

ML monitors:

  • Heart rate

  • Blood oxygen

  • Blood sugar

  • Blood pressure

  • Sleep cycles
     

AI-generated alerts support timely intervention.

ML in Medical Imaging

ML enhances imaging interpretation by detecting subtle visual patterns.

Applications include:

  • Lung infections

  • Cancer markers

  • Cardiac abnormalities

  • Brain lesions

  • Kidney anomalies
     

This improves radiology accuracy and speed.

ML for Population Health in India

ML identifies health trends at a large scale, helping policymakers and hospitals plan resources.

ML provides:

  • Outbreak prediction

  • Disease burden patterns

  • Community health insights

  • Regional risk mapping
     

These tools help improve national healthcare planning.

Challenges in ML Healthcare Adoption

While ML is powerful, challenges include:

  • Data quality issues

  • Need for clinical validation

  • Privacy concerns

  • Infrastructure limitations

  • Need for skilled professionals
     

SecondMedic follows ethical ML standards and ensures secure data practices.

Future of Machine Learning in Indian Healthcare

Upcoming innovations include:

  • Deep learning diagnostics

  • Digital health twins

  • Fully AI-driven preventive dashboards

  • ML-based robotic treatments

  • Genomic ML predictions
     

SecondMedic is committed to building future-ready ML healthcare solutions.

Conclusion

Machine learning in healthcare India is transforming medical care through predictive analytics, personalized treatment, and early disease detection. SecondMedic uses machine learning across its digital ecosystem to deliver accurate, efficient, and patient-centered care.

To explore ML-powered healthcare tools, visit www.secondmedic.com

References

  1. NITI Aayog – AI & ML in Indian Healthcare

  2. WHO – Machine Learning in Clinical Practice

  3. ICMR – India Chronic Disease Data

  4. IMARC – AI & ML Healthcare India

  5. FICCI – Emerging Health Technologies India

See all

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