Transforming Healthcare with Artificial Intelligence: Part 2

The first part of the series focused on creating a robust foundation around artificial intelligence. This second part will highlight the rise and use cases of AI in the healthcare sector. It will focus on applications across diagnosis, administrative work. There will also be a focus on specific technological advances impacting healthcare.

With humankind passing through the tsunami on Covid 19, predictive analysis and medicine have emerged as green pastures for IT Architects to express their art and demonstrate the caliber. But this has to be a well-strategized and planned approach.

Unmesh Deshpande
Chief Technology Officer
Kingsway Hospitals

AI in Healthcare: Top Advantages

Artificial intelligence, as well as other technological drivers, are creating a far-reaching impact on the healthcare sector. Let us quickly explore the benefits and advantages of AI in healthcare.

Deep Learning to Diagnose Diseases

One of the areas in which AI in healthcare has maximum potential is diagnostics. An early diagnosis is one of the most critical factors impacting the final results of patient care. AI deep-studying algorithms bring down the time it takes to diagnose ailments by processing vast quantities of information at an unprecedented pace. As a result, it arrives at causes for signs that can considerably reduce the diagnosis-treatment-recovery cycle for many patients. Numerous regions are already feeling the impact.

Artificial intelligence in medical imaging is taking the lead in the race as compared to the CDSS. Such algorithms help doctors get prompted and alerted with hidden realities during a CT Scan, MRI, X-ray, 2D Echo, or even USG. The shadowed objects during such scans are vectorized and then analyzed by an efficient AI Engine. The engine prompts and draws the attention of the radiological or cardiological staff.

Predicting or diagnosing the disease without such AI-driven technologies is an arduous task for humans. Some universities have evolved a deep-mastering algorithm that may reliably diagnose many neurological conditions along with epilepsy. First, the program scans sufferers’ magnetoencephalography effects, comparing their pictures with many different scans from healthy patients. It then identifies capability lesions and other odd areas within the brain. Since epilepsy frequently spreads throughout the mind, figuring out atypical scans as early as feasible is crucial to improving sufferers’ treatment alternatives and last consequences.
Therefore, with AI, healthcare professionals and centers can make diagnosis highly effective and efficient, adding to improved patient care and health outcomes.

Automating Administrative Tasks

While patient care is always the pinnacle of healthcare vendors, they still ought to perform as businesses, with steeply-priced and time-ingesting overhead and administrative charges. However, AI in healthcare management is significantly lowering those expenses. Additionally, it is enabling fitness care providers to dedicate their constrained resources to patient care rather than administrative overheads.

Streamlining the billing process can be one of the most essential, if underrated, blessings promised by the growing use of AI in healthcare. Additionally, quicker discharge processes would enhance customer satisfaction. Thus, AI will enable automation of many administrative and repetitive tasks, facilitating greater accuracy, efficiency and allowing professionals to focus on patient care.

Reducing Operational Costs

With the rise of AI, healthcare providers also saw reductions in working charges because patients no longer required pre-op care from clinicians. These operational changes save time for healthcare professionals and prices for patients and their insurers. It also dramatically reduces demand for submit-op and rehab centers, frees up assets for the closing sufferers, and improves results for everyone.

The three areas of AI seeing maximum investments are robot-assisted surgical procedures, digital nursing assistants, and administrative workflow help. As a result, AI will benefit clinicians, patients, and sanatorium administrations alike. If you look closely, surgery carried out using robots is already a reality, and it can significantly decrease the risk of human error, which should reduce complications and enhance patient outcomes. Virtual nursing assistants like computerized pill dispensers should enhance patients’ admission to necessary hospital therapy without increasing medical intervention. Some advantages of AI in healthcare will be indirect because AI systems can optimize a virtual workflow to lessen the administrative burden.

Technological Advances in Healthcare

With a comprehensive understanding of the benefits of AI in healthcare, we can now discuss technological advances and how to leverage them in healthcare.

Three-D Bioprinting

3D bioprinting prints stable, three-dimensional objects from a virtual report with an additive procedure utilizing unique materials like liquid metals, polymers, ceramics, epoxy resin, or residing cells. The worldwide 3D bioprinting market is projected to attain $1.8 billion by the end of 2027.
Healthcare use case: Bioprinting human tissue using stem cell bio-ink can reduce the lack of organs for life-saving transplants. It is a work in progress application with decent progress in recent years. For example, Organovo made a human liver model from 3-D bio-printed liver tissues used for drug testing and improvement. Additionally, 3-D-published pills may be tailor-made based on patient requirements, together with the FDA-accepted norms.


Nanomedicine uses nanotechnology and leverages unique gadgets to develop biomedical studies and medical exercise.
Healthcare use case: Nanorobots injected right into a patient’s bloodstream may be used for drug delivery and sickness monitoring. Therapeutic nanoparticles additionally have multiple packages in most cancer patients, like improving movement and handing over extra sensitive diagnosis and imaging. At the same time, Nanomedicine informatics is vital for integrating big, complex statistics sets at the nano level, imposing nanoparticles in living organisms, and intelligent drug transport.

Cloud Computing

Cloud computing allows the shipping and gets right of entry to computing services and sources over the internet, including developmental systems, databases, and analytics. The international cloud computing market in health vehicles is projected to increase from $20.2 billion in 2017 to $35 billion in 2022.

Healthcare use case: Cloud computing can store high-volume records which can result in lower prices for fitness care companies. Real-time statistics sharing can also result in a higher communique, mainly in instances of catastrophe. Additionally, far-off affected person tracking and physician interactions can produce better patient care. Finally, quicker facts sharing can lead to stepped forward medical research.

Health informatics depend upon getting admission to significant quantities of scientific statistics and affected person electronic fitness records (EHRs). Cloud computing allows for a secure and lower-priced statistics garage with portable entry to healthcare information executives. There is greater access to large quantities of affected person fitness and scientific research statistics than ever earlier. Health informatics is a vital discipline for coping with these records and making them available and beneficial for healthcare professionals.

Concluding the second part of this 3-part series on transforming healthcare with AI has made it clear that there are several benefits that the rise of AI is bringing along for healthcare professionals and centers. The final part of this comprehensive article will focus on specific application cases for AI in healthcare with a potential embedded human of the future.

About the Author

Unmesh is passionate about spearheading business-driven technology solutions to facilitate enterprise-wide transformation. He comes with over 30 years of progressive experience developing, implementing, and supporting complex infrastructures and technical solutions for diverse industries. Unmesh has led strategic interventions across organizations like Dwise Healthcare IT Solutions, Persistent Systems Ltd & VXL Instruments Limited.

Being a hands-on techie, he likes to lead by example. He has rich experience in designing multi-role networks and working with stakeholders in automating business processes to achieve organisational needs. Currently, he is leading strategic technology interventions at Kingsway Hospital as the Chief Technology Officer. As an advocate of transforming healthcare with technology to facilitate better patient-centric solutions, Unmesh has been accelerating the pace of digitalization at Kingsway across all levels.

Umesh is also the Honorary Principal Advisor, Business Process Automation & Digital Infrastructure for NewBox Consulting. He frequently contributes to leading publications and thought leadership platforms on leading business aligned digital transformation and related themes. As a recognized speaker in many CXO forums, Unmesh is a regular panellist on digital initiatives with a focus on healthcare.

Disclaimer: The views expressed in this feature article are of the author. This is not meant to be an advisory to purchase or invest in products, services or solutions of a particular type or, those promoted and sold by a particular company, their legal subsidiary in India or their channel partners. No warranty or any other liability is either expressed or implied.
Reproduction or Copying in part or whole is not permitted unless approved by author.


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