|#1 Ranking: Read how InetSoft was rated #1 for user adoption in G2's user survey-based index
Artificial intelligence does not rely on medical histories but works with preset algorithms that ensure prompt, accurate, and real-time diagnosis. Besides, AI can analyze vast amounts of patients' historical data from multiple sources to help in clinical decisions at the touch of a button. Accessing these physical records usually stored on different platforms is not easy or fast enough to allow timely intervention for patients.
There are reports of significant cases of wrong diagnosis especially for cancer besides tests taking inordinately long to complete. When testing machines with Artificial Intelligence were used in a sample survey for breast cancer, it was found that the machines were not only 30 times faster, but returned a 99 percent accuracy.
Derek Winston, a medical science analyst says that using algorithms also removes the need for intrusive biopsies that patients find traumatizing. With accurate and prompt diagnosis using AI, doctors can detect life-threatening diseases in good time and intervene to save lives or forestall its progression.
AI in treatment
Robotic surgery is one of the most significant artificial intelligence intervention in medical treatment. This process has the surgeon using a robotic arm to carry out the procedure deep inside the patient's body using a keyhole entry. This is a minimally invasive surgery that causes the patient less trauma, but whose accuracy is high.
The use of small entry points reduces the amount of body tissue that has to heal after operation leading to faster recovery and less hospital stay. The robotic arm combines with 3-D cameras to give the surgeon a clear view of the internal organs.
View a 2-minute demonstration
of InetSoft's easy, agile, and robust BI software.
AI surgery robots have improved the level of accuracy in surgery to precision while reducing fatigue-related errors in theatres. This has dramatically increased success chances for neurological surgeries that normally delicate. The robotic arm has the flexibility of a doctor's hand but with higher precision and no tremor that could accidentally harm unintended organs.
Traditional surgery took many long hours of standing as doctors worked leading to fatigue. This is not the case for AI robots as the doctor operates sitting which reduces fatigue-related errors.
Neurorehabilitation is another medical condition that has greatly gained from artificial intelligence. Patients suffering from Spinal Cord Injury, Parkinson's', Traumatic Brain Injury, stroke, and even Multiple Sclerosis can benefit from AI robotic rehabilitation.
These are just a few of the areas AI intervention plays a critical role in improving quality in healthcare. Although robotic rehabilitation has been around for a long time, new improvements have taken this to another level.
The use of these gadgets helps medical personnel in making appropriate clinical decisions and reduces workload. Patients on the other hand get better diagnosis and the benefit of machines in improved quality of life for those with disabling conditions.
Algorithms upon which artificial intelligence works are a product human genius, but the AI platform takes it a notch higher bringing in speed, capacity, and accuracy. AI can be programmed for pattern analytics in vast and complex datasets that are common in medical research projects.
It can search through the vast scientific literature to retrieve relevant studies and combine such resources from diverse datasets. These are monumental feats that, though achievable by human labor, take long to accomplish and at times lack the accuracy that AI big data provides.
The Institute of Cancer Research has developed an artificial intelligence system – the canSAR database - that can collect and collate a patient's clinical and generic data combined with independent biology, chemistry, and disease information.
Using ML algorithms, the machine can then work possible drug solutions that lead to the discovery of new medication. Tech giants have also come up with a cancer treatment AI solution that combines cognitive computing with genomic tour sequencing.
Clinical trials present a big challenge in safety and costs that are reduced significantly through the use of artificial intelligence. Using predictive analytics, researchers can identify suitable candidates for clinical trials by analyzing their social data and GPs interaction in a specific target population.
Accessing data in real-time and capacity for remote monitoring enhances safety levels for trial candidates. Artificial intelligence is also useful in epidemiology by providing statistical modeling for outbreak predictions with location and time marking precision.
The outstanding feature of artificial intelligence as a revolutionary technology in the healthcare industry is the demonstrated speed, accuracy, capacity, and precision that far exceeds human effort.
The first step in good health is to live a healthy lifestyle that includes physical fitness and a good diet. Technology has stepped in to help people adopt healthier lifestyles or at least know the status of their health without necessarily visiting the doctor's office. The tech industry has come in with artificial intelligence-driven personal gadgets that can assist people to keep fit, healthy, and informed of their status prompting the need for intervention.
Starting with the most common gadget in our lives today, the smartphone can load AI-powered apps to detect illness through simple things like your voice tone using the Sonde app. If that is not personal enough, consider wearables like Boltt that comes with an AI-powered health assistant.
For personal risk prediction, there is 23andme for genetic-based analysis that can help patients avoid genetic diseases in a good time. AI can be used to scan and analyze social media activity to predict signs of mental health by the use of sentiment analysis techniques.
Artificial intelligence is paving the way in shifting focus from sick care to healthcare by placing the power of predictive health management in people's hands. This is achieved by giving people tools that can help them stay healthy while at the same time monitoring their health status.
As technology evolves, time will come when the internet of things and the internet of you will be become reality and have all these data accessible at the touch of a button. A Babylon AI-based chatbot that combines a patient's medical history and on-record medical symptoms can perform initial screening that makes removes contact with the doctor
Read what InetSoft customers and partners have said about their selection of Style Scope
for their solution for dashboard reporting.
Artificial intelligence in health records
Keeping health records is one function that has proved challenging healthcare providers especially when faced with stringent regulatory, billing, and revenue cycle laws. The result of this messy situation has been the inconvenience it causes clinicians to try to serve patients using these records.
Developing a uniform electronic health records (EHR) system for the health industry has its challenges and every hospital is trying to design one that works for them.
It turns out that the best option for a credible and reliable EHR system is the adoption of artificial intelligence. AI when integrated with existing medical EHRs improves their data extraction from free text to recognize key terms and pick out insights.
Clinical documentation and data entry using Nuance, a natural language tool as opposed to keyboarding makes it easy for doctors to concentrate on the patient as the system records the verbal information. This system helps stem physician burnout that is one of the most common drawbacks of traditional EHR as its data entry demands can be time-consuming, virtually taking half the clinician's time.
To offer predictive diagnostic, health facilities can incorporate predictive algorithms into their networks. This artificial intelligence is capable of warning doctors of risky conditions like heart failure or developing sepsis in a good time to intervene.
These prediction models operate on the big data platform opening up vast capabilities that a healthcare provider can use to improve the quality of service and speed of delivery. The use of AI tools has demonstrated improved interoperability in health data management for clinicians.
Artificial intelligence is a welcome intervention in healthcare that introduces quality in service delivery. Medical practitioners can now make accurate diagnoses and perform delicate surgeries safely and successfully. Testing equipment operating with artificial intelligence has made the handling blood and tissue samples with deadly diseases safer for laboratory technicians. AI is also proving itself in research labs offering faster, accurate, and more sampling capacity than previously achieved manually. New generation tools and systems promise a better future for the healthcare industry as technology advances.