How is AI advancing Healthcare and Medical Science?

How is AI advancing Healthcare and Medical Science?

Remaining as a fact in history, Artificial Intelligence has influenced all our lives in one way or the other, by becoming an office companion or a home assistant. However, among all this, AI has been a blessing to the Healthcare Industry. The Adoption of AI in the Healthcare and Medical Science is growing rapidly as according to a report by Sage Growth, 90% of the hospitals have provided a solid nod to the AI culture in making developments in their medical infrastructures and also support their employees in performing their jobs more diligently.  

Though that being said, it also raises the privacy concern for the authorities that could threaten the security and privacy of patient data. Several Medical Institutions and hospitals are trying to find a solution to avoid such situations by putting up stringent policies and structures, mainly focusing on the rights to patient data.  

How does AI work in improving Healthcare? 

The Artificial Intelligence system is inspired by the Brain’s Neural Network of managing, processing, storing and release information. Here, AI begins with a massive amount of data, and then it employs machine-learning algorithms to extract information. This information is then utilized to generate meaningful results to solve a complex problem that is fed into the medical system.  

AI Models identify meaningful patterns and translate into clinical imagery through deep convolutional neural network. This helps in patient diagnosis, prognosis, treatment and caregiving. Though we have only scratched the surface to find out this, there is much more that AI could achieve in the future. At present, the recently built modern algorithms can easily solve complex medical problems by using binary classification of data. It can review, interpret and also recommend solutions to be later carried out by a medical practitioner.    

Applications of AI in Medical Science and Healthcare 

There are numerous ways how Artificial Intelligence has helped the medical field. It is bringing about a transformation that is and will be going to be remembered as the time for a change. So, where is AI being used to help the medical industry? Let’s find out. 

1. Clinical Support for Decision Making 

 AI is a powerful tool that helps medical professionals make quick and accurate decisions. Through Pattern recognition system, Artificial Intelligence can make room for better diagnosis and treatment in case of emergency. At times, it can also be used as a second opinion to the medical practitioner to avoid complications and miss any unruled circumstances that could occur.  

2. Patient Information Management 

Artificial Intelligence has proved excellent for diagnosis but also great for patent information management. Automated information updation and interoperability etc., are considered great for both the medical institution and the patient. Telemedicine is also becoming popular that is the remote delivery of healthcare services and medicine. AI detects and evaluates the patient condition and helps in outpatient care for hospitals.  

3. Drug Discovery 

Though you have already observed how AI has elevated the situation and provided the needful for Drug Discovery and Development in the times of Covid-19, but if you haven’t read our article, read it here ‘How is Artificial Intelligence winning the Covid-19 situation’. Artificial Intelligence has saved humankind by its efficient and accurate testing/identification of combinations. Accelerating the entire process, AI has produces an innovative approach to medicine and medical science sphere.  

4. Improve Research and Development  

By the focused adoption of AI in medical science, we can control or manage the budget spend on R&D. Since R&D is a great part of medical science, governments and private institutions are spending a colossal amount of money on its part. However, with the deployment of AI in the field, there will be a significant change in the nature of research as it will be fast-tracked and have accurate results, simply saving time and money. 

5. AI-assisted surgery 

This might look like something from your favourite sci-fi movie; however, this is being practised in different parts of the world. AI-enabled Robots helping the surgical procedure with a surgent. There has been much evidence that proves the fact the Artificial Intelligence has the ability to provide acute care management like surgery to its patients. Advanced Analytics and Machine Learning, along with Robotics have made it possible in time.  

6. Prevent a Pandemic/Epidemic 

Though it may seem quite far-fetched, it will soon be a common enactment. Artificial Intelligence, along with Machine Learning are great to provide insights on early detection of a spread. It processes massive information of patients without any human help, thus maintaining confidentiality and detect early symptoms of a group of patients in a locality. This application can also be incredibly beneficial for the government to take immediate action.  

7. Reinforcing Life Insurance and Medical Covers 

Artificial Intelligence is also used in Finance and banking industry. It is interesting to know that Financial Institutions are using Artificial Intelligence to help people find out the appropriate amount that they need to cover their medical insurance and even life insurance. The AI works through the medical history of the applicant by applying advanced analytics and thus make a balanced document that will be accurate for the individual. This saves money and time for any patient. Some hospitals provide this facility as an overall management or healthcare package. 


Thus, AI looks well-positioned to transform the healthcare industry as a whole. AI systems can help in multiple ways other than the ones listed above, like transcribing notes, send healthcare alerts, managing and updating patient data into EMR portals and also help in diagnosing patients. Artificially intelligent systems are great to help patients with inpatient, outpatient and follow-up care. The future of AI in the healthcare industry is promising, and yet there is so much that remains to be done. If you want to know more about AI and its role, you must be a part of our latest webinar, Role of AI: From Vaccine Development to Distribution on 25th June 2021.  

Understanding why Predictive Analytics is an asset to the Healthcare Sector

Understanding why Predictive Analytics is an asset to the Healthcare Sector

The COVID-19 setting has depicted a clear idea of the potential of the healthcare industry. Holding up as the backbone of a country, the health and wellness sector has had provided in abundance. However, there have been scenarios that have made countries reform their health sector with the sole aim of improving performance and quality of caregiving. In this, Technological innovations are the attributes that keep transforming healthcare improving access to medicines, vaccines and medical devices 

One technological solution that is proving to a boon to medical science is Predictive Analysis. Yes, when you think about Predictive Analytics you think of businesses trying to presume the temperament of the market and upsell their product or service. However, Predictive Analysis is recently broadening its spectrum to heap the healthcare industry.  

How is Predictive Analysis being useful to the Healthcare Industry? 

Since people are much familiar with the words Prognosis and research in the medical literature, Prediction is no different. Your Doctors and Healthcare Professionals have always penetrated deep into your medical history to find our underlying causes of your illness. So, Predictive Analysis is one solution that does the same for your medical professional through processing your existing medical data (history) available and fed into EHR and EMR systems. It takes the evidence-based approach and assesses your data by value and volume.  

Potential Application of Predictive Analysis throughout the Healthcare Sector   

Predictive Analysis is showing impressive outcomes across the spectrum. The adoption of PD is picking up pace around the world proving the industry is ready to invest in quality careThe global healthcare PA market size grew from USD 1.806 Billion in the year 2017 and expected to reach USD 8.464 Billion from 2018 to 2025, with a CAGR of 21.2 per cent. So, how does Predictive Analytics help the Healthcare Industry? 

  • Accurate Diagnosis- PA helps doctors and medical practitioners improve the diagnosis of an individual and also works for the early detection of diseases. It converts patient’s data into algorithms and multiplies the success rate of treatment. 
  • Health Research of a Population- Not just individuals, but Predictive Analytics helps researchers to prevent the spread of infectious diseases. Not just individuals but it a boon for the population of a city or country.   
  • Increase insights for better disease management- Predictive Analysis also helps in disease management, not just for inpatient care but also considers outpatient management by examining patient vitals and indicating the need for changed medication or treatments.  
  • Improving Emergency Care- Receiving real-time data on which wards/units may need more support in emergency care, allowing the medical professionals to make quick decisions.  
  • Effective use of Healthcare Resources- Predictive analysis inherits the potential to boost healthcare resource utilization. It results in fewer waits for individuals and improved outcomes 

These are some of the applications that ensure the healthcare industry is benefitting from Predictive Analytics. So, if you plan to take up advancing in caregiving, yet choose to incline towards technology, a predictive analytics course will an appropriate choice. Big Innovation Centre India believes to not just offer its services, but also help individuals design a career out of passion. So, enrol on our Membership Programme and gain the most out of our Initiative. Also, join our Knowledge Exchange Platform ‘Pavilion. 

Don’t forget to be a part of the Digital Health World Congress 2021 presented by our CEO, Big Innovation Centre, Prof Birgitte Andersen