Artificial Intelligence in Healthcare: Modernizing Patient Experience

Artificial Intelligence is quintessential for revamping the functioning of various sectors be it Finance, Manufacturing, Retail, E-commerce. It’s penetration is strongly visible in the field of Healthcare also. Implementation of AI in healthcare sector is important to revamp the functioning of the entire healthcare & hospital administration. While a lot had been discussed around this topic in the past which includes restructuring of the healthcare operations, the significance of digitized medical facilities etc. At present, a lot of storytelling exists about the role of AI in healthcare. According to a research report published by Grand View Research, the global Artificial Intelligence in healthcare market is predicted to grow at a compound annual growth rate of approximately 38.4% during the forecast period 2022-2030. From this, it can be observed that AI and healthcare has a huge potential. Let us keep our eyes intact and dive deeper into the topic to know more.

The topic covers

1. The scope of AI in Medicine

2. The AI roadmap for Healthcare

3. The rise of the robotics in healthcare

4. The potential benefits of Artificial Intelligence in healthcare

5. Conclusion

The scope of AI in Medicine

AI in the medical field, has been a game changer in treating myriad of injuries and diseases. Let’s explore the examples of Artificial intelligence in healthcare & medicine:

1. Illness Diagnostics & detection:

   The hospitals in the healthcare are revamping there processes by implementing AI- driven practices. Many healthcare startups are strategizing a seamless plan to implement AI for healthcare & diagnostics. For example; development of AI- enabled thermal devices made with a high resolution which has the capability to trace & diagnose breast cancer at a nascent stage using Machine learning algorithms as the core technology. This helps in efficient treatment rather than using traditional & conventional mechanisms. To provide better treatment to the patients, many clinics have implemented AI techniques, intelligent systems to detect complex heart problems and the devices perform with accuracy of around 85 to 93% according to the study revealed by Mayo Clinic. This helps in better operations to treat patients so that they recover. This helps to improve a patient’s treatment & operations experience.

2. AI-Driven Patient Intelligence:

   This is one of the important innovation with AI in the medical field. Many Start-ups and computer software companies are developing systems that aids better decision-making for the marketers in the Pharmaceutical Industry. So that they can provide exceptional patient experience using AI-driven patient intelligence software which uses Natural Language processing, Machine Learning to analyze and capture the voices and conversations of the patients, uses heavy data analytics to build large data points to evaluate Patient confidence scores for medicines. These sophisticated softwares help Pharma companies to serve patients in a better way through visual dashboards and appropriate measures to improve the processes and to discover new medicines.

The AI roadmap for Healthcare

The application of AI in healthcare is invincible & long-lasting! The ship of Healthcare Industry is sailing amidst the waves of continuous automation and rapid modernization. In order to steer the advancement of Healthcare Industry towards reshaping patient’s wellbeing and experience, many healthcare professionals are conceiving about proper roadmap in achieving the right mix of AI-driven tools, treatment and wellness plans.
Let’s go through latest innovations for the healthcare stakeholders experience and what Industry has up it’s sleeves at the intersection of AI and Healthcare to treat patients in a smarter way.

1. Futuristic medical imaging:

   The latest innovations include modernized tools like CT scans, MRI scans which detects the early signs of tumors and other detrimental diseases which helps the radiologists to review the images to trace the signs of the diseases. The functioning involves AI algorithms which can be easily fed images that are labeled by the radiologists thereby helping them in finding cancers. The neural network was proved to be 99% accurate at tracing cancers as opposed to 38% accuracy accomplished by the doctors, according to certain research.

2. AI-enabled Assistant:

   This involves the heavy usage of AI engines at the backend. The appointments which the patient books involves data like name, contact, details pertaining to the symptoms etc. These details undergo pre diagnosis and then doctors through the assistant and can analyze the details which helps in accurate preliminary diagnosis and reduction of errors.

3. Virtual nursing assistants:

   The hospitals and healthcare units incorporate virtual nursing assistant especially for the patients who get discharged from the hospitals and require home care. This is run through the usage of an AI-based app who takes the responsibility of daily health check-ins and provides answers to the queries asked by the patients.

4. Personalized treatments:

   Today, treatments are being personalized. Many companies operating in healthcare is using AI models which are trained with clinic-based data from various healthcare institutions and they are build with pathologists to provide early detection of dangerous diseases and personalized treatments with the unique mixture of data, tech and the pathologists.

5. Wellness apps:

   Many Start-ups & companies are curating and reshaping the exercise plans, diet plans, nutrition plans and can respond to different queries of the patients in more than 11 different languages that are customized to the level and body-type of the app users.

6. Multipurpose apps:

   There are numerous AI healthcare multipurpose applications which integrates and connects the pharmacies to have an effective distribution of the medicines. To make the patient’s experience seamless, these companies use AI and under the umbrella of AI they use combination or core technologies like Big data tools, Tensorflow, Hadoop, Hive querying, Spark. Thereby making AI a wonderful and a very strong technology to impact healthcare in positive way.

The rise of the robotics in healthcare

In the realm of robotics in healthcare, those who explore the topic at very beginning stage, they ponder over numerous questions like- why AI is important in robotics, where AI is used in Robotics and other basic questions. So far many things have been covered with respect to AI and healthcare, data analytics and medical records in the purview of AI medical automation. Let’s together walk though the potential use cases of AI in surgeries.

1. AI and the rise of the Co-bots for a revolutionary surgical procedure:

   The incorporation of Robotics in automation has made the doctors life smooth in terms of operations through real time scannings, using robots to go deeply into the organs to detect the anomalies. The AI-enabled robotic surgeons are trained and help in augmenting the modern technology in medical field through algorithms that emulate the human brains for the better treatment plans and decision making.

The potential benefits of Artificial Intelligence in healthcare

1. Speed-up decision-making:

   AI-supported devices and bots help in faster decision making by leveraging data science, ML, Deep learning etc.

2. Helps in saving humans:

   By training the models to be establish a sense of being human and take logical decisions helps in saving lives by easy detection of hazardous diseases.

3. Error reduction:

   It helps to reduce errors and fatigue of the doctors by timely scanning of the patient details and symptoms.

4. Provide assistance patients:

   AI is there to assist patients through apps and devices that assist and recommend diet plans even they get discharged.

5. Affordable healthcare:

   The AI helps in cost reduction with high accessibility and accuracy. It is for the well-being of the patients.

6. Efficiency in performance:

   AI is a breakthrough and acts as a guide to doctors to perform better operations to save patients life, it helps pharma companies to discover new medicines, and AI also helps them to produce more tonnes of medicines based on Intelligence forecasts and co-bots. Thus it helps in optimization and lot of efficiency.

Conclusion

AI is not only a game changer in modernizing the patient experience, but also it is the savior to save the lives, to transfer the voice of the patients to the doctors. It acts as a powerful tool for the healthcare stakeholders altogether. Hospitals could spend more than $50 billion on AI-based tools by the year 2023 according to the report by the Research and Markets. At last we can say that AI in healthcare is incredible and hail the power of AI for the long-term!