Artificial Intelligence is the future and is seamlessly integrated into our everyday lives. Artificial intelligence in healthcare has provided a more efficient way to automate drugs, perform daily tasks, and manage patients and medical resources. It is said that artificial intelligence is now referred to as the new nervous system of the Healthcare industry.
Artificial intelligence in healthcare is significantly changing and improvising various key processes, and the potential is diverse and amazing. It ranges from chatbots to Computer-aided detection for analysis and diagnosis. Consequently, A smart system that uses these tools can help providers understand ailments and create a better healthcare management system.
What is artificial intelligence in healthcare?
Machine learning and artificial intelligence are novel tools that provide the healthcare industry and medical professionals with much-needed data-driven support. This health tech can use algorithms and data to identify patterns and deliver automated insights with common applications such as health monitoring, managing medical records, treatment design, and even digital consultations.
While AI has many benefits in the Healthcare sector, there are some debates on the pros and cons of the financial and clinical implications of relying only on algorithms and data-driven technology for patient care.
Different types of health tech in the healthcare industry
- Machine learning
- Natural language processing
- Rule-based expert systems
- Diagnosis and treatment applications
- Administrative applications
Benefits of using artificial intelligence in healthcare
There are numerous benefits of Artificial intelligence in healthcare.
- Improvement in accessibility
Developing countries in the new data-driven age are constantly struggling to keep up with the fast pace of global technological advancement. They have limited or no access to standard healthcare facilities and systems that are fast and efficient. For residents of such countries, the risk of dying is higher. According to WHO, areas with limited or zero healthcare accessibility are responsible for the 18.1-year gap in life expectancy currently recorded between the world’s richest and the poorest nations.
These innovations allow poverty-stricken areas to enjoy an efficient healthcare ecosystem. Such electronic health records systems can facilitate diagnosis and treatment in patients. Some applications are developed to help International and national Healthcare organizations come together and tender necessary assistance to people who need them.
- Data security
The data security of a patient is trivial in a healthcare system. The rapidly advancing AI algorithms help encrypt the patient’s personal information, clinical reports, and diagnostic findings and even prevent them from being hacked. These records are securely stored in the cloud for the healthcare provider’s easy access.
- Early diagnosis
The new health Tech tools now rely on people’s data to access the patients’ previous and present health issues. By comparing the disease details, healthcare providers can diagnose more accurately. The database in different healthcare mobile apps has millions of symptoms and diagnoses. It can even predict an individual’s potential health issues in the future.
There are applications in the market that forecasts heredity and non-contagious genetic diseases. With such tools in the market, healthcare experts are now at ease with clinical decision support and accurate prediction for possible future threats.
- Increased speed and reduced cost
All thanks to artificial intelligence algorithms, healthcare processes are now faster and cost a fraction of the original cost. From patient examination to diagnosis, AI has changed the game regarding speed and cost. For example, AI can identify the biomarkers that suggest diseases in a body.
These algorithms have reduced the manual work involved in specifying these biomarkers making health tech significantly better . This massive automation means that we can save more lies by acting faster. AI algorithms are now more cost-efficient than traditional methods, and patients have to take fewer trips to the hospital.
- Efficient and unique assistance in surgery
Artificial intelligence in healthcare has taken a huge jump in robotics. Machine learning implementation in surgeries has leaped as well. Dedicated AI surgical systems and robotic process automation execute the tiniest movements with 100% accuracy.
The involvement of robotic process automation enables us to do complex operations efficiently with reduced risk of side effects such as blood loss or pain. Likewise, post-surgery recovery is faster and much easier.
- Advanced human abilities and mental supports
The robots assist patients alongside the medical staff. For instance, some robots can help paralyzed people regain their mobility with little or no help from caretakers. Similarly, smart AI-backed prostheses can greatly assist 1 million new global amputees every year. These are fitted with sensors that serve as a more reactive limb than the traditional prosthesis.
There are dedicated, friendly, conversational robots that carry out necessary tests, check the sugar level and blood pressure, control temperature on behalf of the nurses, and even help patients take pills. There are robots developed to help depressed patients with their built-in analytics capabilities. With these capabilities, we can analyze the mode of the patient and help them feel better.
