How AI is Revolutionizing Healthcare?

artificial intelligence in healthcare
Have you ever imagined how AI technology can impact the lives of healthcare professionals and patients? The change we see around and within the healthcare industry in the form of improved diagnostics and treatment is phenomenal. Especially, AI-powered patient care is helping healthcare providers to make informed medical decisions, facilitate drug discovery, and empower health professionals to provide advanced care.
The AI healthcare market has a promising future and is all set to deliver improved healthcare services for a long time. From USD 11.09 billion in 2023, the global AI healthcare market size is expected to value at USD 83.62 billion by 2028. With the increasing data generated in healthcare, adopting artificial intelligence has become inevitable for healthcare providers. This is because AI can help automate repetitive tasks, design treatment plans, manage medications, settle claims, perform clinical trials, and do a lot more.
The blog gives you a detailed overview of how artificial intelligence and machine learning in healthcare are on their way to revolutionizing the industry. We have some solid use cases and reasons that will help you find out how AI/ML technology will reshape the healthcare industry.

Top Use Cases of AI in Healthcare

use cases
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Robotic Surgery

  • Collaborative robots are transforming surgical procedures in different ways like alleviating the risks of blood loss and pain.
  • Surgeons are now able to perform difficult surgeries with more precision and speed, helping patients recover faster than before
  • In some places, AI medicine and healthcare are helping surgeons obtain real-time information and fetch insights about the current condition of patients
  • Overall, robotic surgery enables healthcare providers to work promptly and make quicker intelligent decisions, bringing in the best results.

Fraud Detection

  • Every year in countries like the US, many healthcare claims are found fraudulent, translating into billions of dollars in loss.
  • Now, with AI-powered systems, healthcare professionals can find invalid claims and improve claim processing speed, approval, and payment.
  • It can detect valid claims and also can prevent patient data from getting stolen.
  • Top healthcare service providers across the globe are today embracing AI to find out healthcare fraud by using AI fraud detection systems for claim identification.

Making Clinical Decisions

  • AI and ML impact is revamping the processes adopted by clinical providers.
  • Now they can make informed decisions with AI-powered data delivery to diagnose, make efficient treatment planning, and manage overall patient health.
  • In addition, healthcare data security in AI ensures patient data remains safe and private to the concerned healthcare providers.
  • AI technology is also supporting them in making decisions regarding ophthalmology, pathology, and radiology.
  • To our surprise, certain tasks can be performed autonomously by AI with the power of supporting features like NLP, wherein all the clinical notes in EHRs get translated helping clinicians to manage data effectively.

Automating Repetitive Workflows

  • Automating workflows with AI-powered technologies has created a revolution in the healthcare industry
  • It comes with reasoning capabilities, powerful analytics ability, and full medical knowledge, leaving healthcare professionals free from routine repetitive tasks.
  • With powerful algorithms, healthcare experts can now make radiology and cardiology decisions
  • Through cognitive health assistant analyses, radiology images can detect problems rapidly.

Online and In-Person Consultation

  • Several AI-powered healthcare apps are helping doctors practice effective consultations.
  • With such apps, doctors can do online medical consultations and provide advice to patients based on their medical history and knowledge generated by AI
  • Backed by the support of some reputed healthcare app development companies, doctors and healthcare professionals can use AI-based apps to report the symptoms of patient illnesses.
  • The app just checks the symptoms and by using the speech recognition method and by noting patient history, it offers a course of action for the patient.
  • Since then, the demand for wearable technology and AI in the healthcare industry has increased.
  • Such healthcare apps integrate AI technology that has robotics and other tools helping users analyse several aspects of their health.

Managing Medication and Assisting Health

  • Many healthcare apps are now creating virtual nurses with pleasant voice to monitor the patient's conditions.
  • With such mobile apps, patients suffering from chronic diseases are given care and attention in between their medical appointments.
  • In addition, testing, customizing, monitoring, and follow-up care are given for such chronically diseased patients.
  • These robotic nurses are present to inform patients about taking medicines on time and to monitor their daily health.

Creating Drugs

  • Several AI-powered clinical trials are saving huge amounts of time and money.
  • Using AI for drug creation makes the process faster, easier, and cost-effective.
  • AI technology is also used to recognize existing medicines in the market for treating deadly viruses.
  • Through AI-enable analytics, experts find solutions to treat patients with medicines that may have taken years to discover if not by AI.

Precision Medicine

  • The impact of AI is huge on genomics and genetics as well.
  • Through effective technology, AI tools help identify patterns from huge data sets of medical records and genetic information.
  • With such powerful technologies, experts can find relevant links to mutations and diseases
  • Some most effective AI solutions can even guide doctors and health professionals to understand the functionalities of cells while DNA changes because of genetic variation.

Image Diagnosis Automation

  • Through computer vision capabilities, hospitals and clinics use AI to find abnormalities in various medical images similar to CT scans and radiology
  • The image recognition systems help doctors in diagnosing chronic and acute diseases related to heart, liver, tumors, kidney, and cancer prognosis.
  • In some countries, doctors are now using AI and ML technology to analyze children’s diseases through biopsy images.

Healthcare System Analysis

  • Fetching data about medical records of the patient, doctor appointment, treatment, diagnosis, and patient details is now so easy and accessible because of AI
  • The data mining process adopted in hospitals and health care centers enables report generation to trace any loopholes in patient care and diagnosis.
  • This helps in improving the treatments and health conditions, avoiding unwanted hospitalizations of patients.

4 Types of Artificial Intelligence in Healthcare

types of AI in healthcare

Machine Learning

It is another common type of AI technology used by the healthcare industry. Machine learning involves data usage and algorithms that imitate human analytical behavior, gaining accuracy. One such example is precision medicine which predicts treatment procedures that are most suitable for patients and necessary treatments can be applied. Another form of machine learning is deep learning which has many levels of variables and features for predicting outcomes.

NLP

NLP is Natural Language Processing that includes speech recognition, text analysis, etc. Mostly used by healthcare providers it can create and distinguish various clinical documentation. NLP systems are also used to analyze unorganized clinical notes on patients. This helps in gaining insights to improve methods and understand quality.

RPA

RPA is a Robotic Process Automation used by many healthcare professionals to automate repetitive tasks such as updating patient records, billing, etc. RPA uses various technologies to learn, mimic, and perform business processes that are based on rules. RPA processes are far more inexpensive and easy to program as compared to other AI technologies.

Rule-based expert system

This is one of the easiest and simplest forms of artificial intelligence technology. It utilizes knowledge-based rules to solve problems and aims to seek knowledge from human experts, transforming complicated rules and information. Mostly, this technology is used for clinical decision-making procedures.

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Future Trends in AI and Healthcare

The future of AI will reshape the healthcare industry and medical practices to an exceptional level. It shall give unbelievable patient experiences and exclusive pharmaceutical operations. Several medical hubs use generative AI to predict various treatment plans for critical cases related to women and children.
The revolution in AI has just begun and healthcare is just one such domain getting highly influenced by its magnificent technologies. There will be next-generation tools that will replace the need for tissue samples. This is one such use case. We will several use cases wherein healthcare service providers will be able to identify cancer diagnoses and target unique treatment plans for patients.
The use of electronic health data will also help in identifying patients having critical conditions and detecting infection patterns before showing symptoms. Through the analytical capabilities of AI, you can deliver quick and precise alerts. AI also provides earlier signs of diseases like seizures through rigorous analysis of complex datasets.
Moreover, effective use of AI in healthcare will establish intelligent processes and workflows, enabling efficient and seamless medical practices that are equitable and personalized. .
Hence, AI will revolutionize some of the major healthcare aspects like clinical decision support, early alerts of disease development, and workflow automation. The healthcare industry is all ready to embark on this new era of clinical perfection that is embedded with AI-powered tools to introduce wonderful advancements in the world of patient healthcare. 

How Whitelotus Corporation Can Help You Embark a Phenomenal Journey in AI Healthcare

The healthcare industry is observing a shiny new era empowered with the most advanced AI and ML technologies. The industry at large is gaining multiple benefits in processing several clinical treatments and managing administrative tasks. As we see the industry getting more intelligent, patient-centric, and efficient, there is also a growing need for healthcare app development companies that can help healthcare providers create robust and smart healthcare products.
Partnering with a reputed online medicine delivery mobile app company like Whitelotus Corporation, you can now integrate AI into healthcare to improve diagnostic excellence, optimize resource allocation, and enhance treatment plans. With us, you can overcome all those hurdles to produce a phenomenal and patient-centric app that will empower you to deliver the best healthcare solutions. We build custom AI and ML-based models to help provide better customer experiences and enhance revenues. We are a team of skilled professionals and tech experts having mastery in building creative and innovative AI-powered solutions. We can help you address your unique challenges and healthcare requirements. You can partner with us to leverage our best efficiency and expertise in developing AI healthcare apps and systems and can bring revolutionary changes into your workflow processes. 

Author

  • Sunil Chavda

    Sunil is a result-orientated Chief Technology Officer with over a decade of deep technical experience delivering solutions to startups, entrepreneurs, and enterprises across the globe. Have led large-scale projects in mobile and web applications using technologies such as React Native, Flutter, Laravel, MEAN and MERN stack development.

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