ResolveData - Actualizing Data to Drive Transformational Healthcare
ResolveData - Actualizing Data to Drive Transformational Healthcare
How is AI Changing the Healthcare Industry? - ResolveDatas
How is AI Changing the Healthcare Industry

How is AI Changing the Healthcare Industry

Artificial Intelligence is more than just a buzzword used by techies. When appropriately applied, it can transform the way the healthcare industry operates and bring in remarkable improvements in patient outcomes, experiences, and access to healthcare services. It can also boost the productivity and performance of healthcare service professionals.

And soon, AI will no longer be a good to have but an essential part of health care services. AI can help with Precision medicine, make up for the shortage in the workforce and automate much of the manual grunt work involved in healthcare services.

Various ways in which AI are changing the healthcare industry forever are:

Drug Discovery

An essential part of drug discovery is the enormous amount of research involved. A huge amount of data needs to be analyzed, and the most probable drug combinations must be identified.

Every drug is developed with a particular purpose in mind. In traditional methods, researchers have to carefully synthesize the various combinations and take them through each level of testing. This requires careful screening of various types of target molecules and several rounds of testing to get the final drug compound. And in most cases, only about 10% of the initial candidate compounds make it to actual trials. AI can revamp the drug discovery process completely and potentially save a lot of costs that go into drug discovery.

  • AI solutions are capable of processing huge amounts of data quickly and produce well-formed insights
  • AI can simplify the effort required to predict the properties of a potential drug .
  • It can help generate new ideas for novel compounds as well.
  • It eliminates the need for repetitive tasks and manual hours required to analyze the hundreds of histology images.

Digital Consultation

Digital consultation via smartphone apps and teleconference are already gaining popularity since they can provide 24/7 access to healthcare services regardless of geographical limitations.

There are many advantages to digital consultation over a traditional doctor’s appointment. It helps people get remote access to medical consultation and also maximizes doctor’s productivity as well. Now, AI Health Company can enhance digital consultation services by providing means that could help identify, detect and treat medical issues even from a remote location.

The Buoy is one such AI-based digital consultation service that uses a chatbot to assess the patient’s condition and provides recommendations based on their responses. If the issue is found to be something that needs immediate concern, the chatbot will suggest the patient seeks help from an actual human doctor and also helps with scheduling an appointment as soon as possible.

Virtual Followup

Many times, patients end up in serious trouble and lack adequate medical attention because they miss follow-up appointments or fail to keep up with their subsequent lab tests. AI healthcare solutions can bridge this gap in healthcare by ensuring patients never miss their follow-ups and also by providing convenient means through which they can seek follow-up

AI solutions can set reminders for lab tests and medication schedules and ensure order entries are properly recorded. Similar to digital consultation, AI chatbots can also check in on a patient’s health status and help avoid physician burnout.

Robotic Assistance

While robots are already used extensively in the healthcare industry, they are still controlled by humans and are only as useful as the expert wielding them. But when you combine AI with robotics, you can make significant improvements in certain areas, such as

Micro Surgeries

Microrobots can be used to deploy drugs precisely in a particular locality and can also perform precisely microsurgeries with great accuracy.


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Remote Treatment

AI-assisted robots can also save one of the major problems faced by many people across the world. Accessible healthcare to everyone in the world. People from rural areas and remote locations have a hard time traveling to the places where a particular treatment will be available for their medical issues. Artificial intelligence healthcare companies can solve this issue by making it possible to conduct remote surgeries. While research is still ongoing in this area, such as the US DoD-funded research at Carnegie Mellon, it is safe to say that it won’t be too far in the future that we will have actual remote surgeries happening with the help of AI.

Smart Prosthesis

Medical robots can be used in conjunction with AI to improve mobility in affected patients. Applications like exo-selection robots and bionic limbs can be further enhanced with the help of sensors and AI-based technology to be more reactive and responsive to the patient’s muscles and brain signals.

Auxiliary Robots

Probably the more the traditional view of how robots are to be used is to help with manual work involved in hospices and medical stations. Nurses and hospital personnel can focus on patient care, while AI-based auxiliary robots can assist them in tasks like stockpiling, clearing, sanitizing, and more.

Digital Diagnosis

AI systems can uncover new patterns and correlations from the thousands of health records which would be near impossible for a human researcher to do. AI systems have proven to provide an accurate diagnosis, which has sometimes even surpassed the expertise of the best doctors. For instance, an endoscopic system developed by Japanese scientists has diagnosed colon cancer in real-time at about 86% accuracy. And the IBM Watson AI solution has about 99% accuracy in diagnosing cancer.

Dosage Error Reduction

Prescription overdose or prescription errors is one of the common causes of patient death while in medical care. A recent survey says that about 7000 to 9000 people in the US die each year due to medication errors.

While these errors are often caused by human negligence, flawed record-keeping systems, and technical issues. AI solutions can help eliminate such errors and make sure patients are always prescribed and given the right drugs at the proper dosage levels.

As each person’s medical history could vary, it is highly important that the prescribed doses are under safe limits for that particular patient. Machine Learning algorithms can use historical data and real-time data to analyze risk scores for a specific patient in relevance to a drug and help with precise prescriptions that will avoid overdose.

Electronic Health Records

Much of the healthcare information and records are stored in large monolithic systems that are considered difficult to use and require expensive configuration. The problem of information silos makes collaboration and knowledge sharing a lot more difficult than they should be. The current EHR systems are also not very helpful when a physician wants to procure information beyond their clinical domain.

Integrating AI-based solutions can transform the EHR systems to be more efficient and easy for carrying out knowledge discovery queries. AI can process data files much faster, allow for more accessible information sharing, and thus help fasten informed decision-making.

So, Are You Ready To Take The Plunge?

As can be seen, AI in healthcare can revolutionize the entire industry. If you wish to learn and explore varied opportunities, contact the Best AI Healthcare Company today.

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ResolveData - Actualizing Data to Drive Transformational Healthcare
  • ResolveData - Actualizing Data to Drive Transformational Healthcare
  • ResolveData - Actualizing Data to Drive Transformational Healthcare
  • ResolveData - Actualizing Data to Drive Transformational Healthcare
  • ResolveData - Actualizing Data to Drive Transformational Healthcare

© 2021 ResolveData. All Rights Reserved

© 2021 ResolveData. All Rights Reserved

  • ResolveData - Actualizing Data to Drive Transformational Healthcare
  • ResolveData - Actualizing Data to Drive Transformational Healthcare
  • ResolveData - Actualizing Data to Drive Transformational Healthcare