Ron Kilgarlin of American Screening Corp talks about Artificial Intelligence in HealthCare
Introduction
American Screening Corporation has been a torch bearer in Drug Testing and Medical Supplies since its inception in 2004 at Shreveport. ASC has been serving its clients for the past 20 years and has won the trust of satisfied customers across 27 countries. Founded by the eminent visionary Ron Kilgarlin, ASC has manufactured and distributed Rapid Diagnostic Test Kits with our ISO 13485/ MDSAT license.
ASC’s products of Drug Testing Specimen Cups and Drug Testing Dip Strips which adheres to FDA, CLIA, EC Directive 98/79 CE certifications are sold in millions annually.
Further ASC’s close association with Reveal Background ensures that the client receives exemplary and trustworthy services.
Ron Kilgarlin believes in incorporating AI in health care industry due to the extensive application of AI in almost all disciplines of medical care. AI has changed the very method of diagnosis and treatment to patients. AI technology has brought a tremendous improvement by providing accurate diagnoses and ensuring personalized treatments. It is capable of analyzing the documents very quickly which is highly helpful for the medical professionals. AI not only helps in scanning radiological images quickly but also interpreting electronic health records faster, quicker and accurate. Applying the technology of AI in hospitals, offers quality health care to the human kind, completely transforming the experience of the patients.
1. Background on American Screening Corporation
American Screening Corporation is committed to continuous improvement and providing the best client experience. The vision of ASC is to be the global leader in Drug Testing by partnering with 5 million companies and providing positive outcomes to people. ASC serves with the mission of being recognized as the world leader in quality medical products and services with advanced technology solutions.
ASC enjoys a cordial relationship with all its wide range of customers and satisfies them with the best of their products and entertaining them with attractive offers and discounts. ASC is providing Drug Test Kits and Medical Supplies for Schools, Colleges, Construction Companies, Transportation Sector, Medical Facilities, Law Enforcement Agencies, Rehabilitation Centres, Research Centres and also for small companies.
Ron Kilgarlin leads his team efficiently by enriching them with his lofty ideas, guiding them for excellence and providing them with the required infrastructure to fulfil the drug testing needs of all their customers. Ron Kilgarlin believes in upgrading the technology involved by incorporating recent trends and changes thereby making the process of drug testing very comfortable and enjoyable. He ensures that high quality, tamper proof materials are manufactured and supplied intact to all their clients. The CEO exhibits a keen interest to know the opinions, suggestions and feedback of his customers to modify the design and efficiency of drug testing materials.
2. The Current State of AI in Healthcare
Artificial intelligence plays a significant role in healthcare and there is almost no area of medical care where AI cannot be used. Starting from diagnosing a disease like cancer and up to its treatment using radiotherapy AI helps the human kind by its accurate application. Also AI is used in Eye Care, Pregnancy test, Ultrasound Scanning, CT Scanning, ECG, Cardiology, MRI and Plastic Surgery and indeed very helpful for patients undergoing treatments. Medical Doctors can use the accurate information given by AI to make definite decisions on their treatment which certainly saves time and lower costs. In short AI is a game changer in the field of healthcare, improving the quality of treatment, thus ensuring that patients get well soon and return to their normal routine very quickly.
AI is really helpful for medical professionals to diagnose easily and it makes healthcare provide preventive measures by quickly analyzing a vast data. AI algorithms can easily interpret medical imaging data like MRI and Scans. AI models accurately diagnose health problems by analyzing the current symptoms of the patient.
Though AI cannot replace doctors they can certainly assist them in surgery also. It includes clinical prediction, intra-operative diagnostics, robotic surgery, surgical training, sensor monitoring and discharge planning.
AI also plays a key role in administrative tasks such as data entry, appointment scheduling and claims processing. AI reduces human error, review health records very quickly and medical imaging. AI is very helpful in analyzing the medical history of the patients and assists the doctors in providing quick and quality care. This makes the medical professionals to carry out their tasks without much strain.
At present it is a really an interesting fact that almost 86% of healthcare industry has adopted AI in their disciplines though all nursing jobs cannot be replaced by AI even in 2030.
3. Ron Kilgarlin’s Vision for AI in Healthcare
Ron Kilgarlin is very sure that in a very short time AI would be replacing many of the roles in a healthcare industry and that would surely be highly beneficial to the people. This adoption of AI will certainly change the scenario of medical diagnosis and treatment in hospitals and clinics.
Another form of artificial intelligence is Natural Language Processing (NLP) where the computers interpret the human language. This NLP is widely applicable in data applications, diagnosis accuracy, streamlining clinical processes and providing personalized healthcare. NLP can be applied to accurately diagnose illnesses, to prescribe relevant treatments and medications and predict health risks. Furthermore, NLP also manages large amounts of complex data, which would be very tedious to do manually. NLP is becoming compulsory in medical world and expected to totally transform the experience of a patient.
Another application of AI is in the area of Electronic Health Record Systems (EHRS) which make available a set of rules using their software. Human experts and engineers build a series of rules which would function efficiently for fewer rules. As the number of rules becomes more, it produces a conflict and could not be used further. Here comes the benefit of AI in eliminating such a problem in health record.
Ron Kilgarlin strongly believes that AI can absolutely reshape patient care management, healthcare administration and drug discovery. AI-driven robots can provide round the clock monitoring, enhancing patient support and treatment plans. In drug discovery, AI enhances the drug development process by analysing how different drugs will function and react in the body, thereby decreasing the time and cost of treatment.
Moreover as per Ron Kilgarlins opinion, AI is very significant in streamlining various processes like scheduling appointments and carrying out insurance claims. Therefore AI automation reduces administrative difficulties and burden of the patient. All these factors contribute to the fact that AI has become an indispensible technology in the field of medicine.
4. Benefits of AI in Healthcare
The integration of AI in healthcare industry has entirely modified the medical process by changing healthcare more accurate and efficient. It is actually a technological revolution which promises more benefits in the future and also simplifying the highly complex diagnosis and treatment of highly potential diseases. Some of the areas in which AI technology has contributed its features are given below.
Ultrasound Technology and Scanning
AI exhibits Optical Character Recognition Techniques (OCR). This OCR is very helpful in document classification, file scanning and processing the metadata in a document. AI also empowers ultrasound technology to speed up the application of medical ultrasound in diagnosing a medical problem. AI creates the ‘personalized diagnostic imaging’ by integrating imaging and electronic health record data.
Robotics Assisted Surgeries
Robots are used in hospitals for repetitive jobs, physical therapy, rehabilitation, surgery and support for people with prolonged problems. These robots can work from laboratory to sophisticated and complicates surgeries. Robots are capable of not only providing independence for patients but also socially interacts with patients to engage them mentally.
Drug Research and Discovery
AI assists in drug designing based on the data of the patients and decides about the effective and most appropriate treatment also very quickly. Machine Learning is another aspect where AI technology helps to fined immune-oncology treatments. It is further employed in drug research where AI engineers and Researchers combine different medicines for newly creating pharmaceuticals.
Diagnose Blood Related Diseases
Artificial Intelligence is indeed an asset for diagnosing blood related disorders. It helps in checking the blood for dangerous germs and compounds very quickly with an accuracy of 95%. Thereby early treatment is possible for the patients to avoid fatality.
Treat Neurological Disorders
AI plays a vital role in identifying diseases connected with central nervous system which causes neurological disorders. This is achieved by Pattern recognition using ML algorithms and decision making on brain pathology is possible to recognise disorders like Alzhemiers disease.
Healthcare Assistants
AI technology assists in many important tasks such as protection of data, answering phone calls and emails, keeping up medical appointments and maintaining the routine activity of the patient. These activities are possible by combining cognitive computing, augmented reality, and body and voice movements.
Medical Data Analysis
AI is helpful in organizing the medical data of the patients by manual data filtering and removing redundant methods of data analysis. This is achieved by processing and analyzing clinical trials to identify the effects of vaccines, drugs and finding the root cause of the virus.
Cancer Diagnosis
The National Cancer Institute uses AI technology to diagnose and treat cancer by combining machine learning, and artificial intelligence. This was made possible by collecting more than13,000 colorectal cancer photos from 8,803 participants and 13 cancer facilities in China, Germany, and the United States. The researchers utilized this data to create a machine learning software using those photographs.
Diagnosing Covid-19
AI uses Data Mining Techniques to find out the origin and spread of the COVID-19 virus by analyzing the medical data. This enhances the detection and prediction of COVID-19 by algorithms that identifies patterns and anomalies and image recognition systems.
5. Challenges and Considerations
Ron Kilgarlin insists that the challenges associated with AI technology should be addressed immediately and ethical and regulatory issues should be taken care of. The challenges include data privacy of patients and security, utilizing algorithms to recognize patterns data, integrating AI with IT systems, ensuring physician acceptance and trust, and getting compliance with federal regulations. Patient safety is also very significant when using AI in healthcare.
Another noteworthy challenge is integrating AI with existing IT systems as it requires a deep knowledge of how existing technology works to diagnose and treat patients. Yet another aspect is getting the trust of medical professionals that AI technology is providing them with the correct information for them to carry on with the treatments. They should have the confidence on AI that it would not lead them away from the facts because they are treating human beings.
6. Future Prospects
Scientists, Researchers and professors dealing with Artificial Intelligence are of the opinion that incorporating AI in to medical and health care is very important, crucial and indispensible. Therefore it is mandatory that the medical professionals should be ready to accept this transformation.
The researchers believe that integrating AI technology with medical care would be the life changing experience of this century and we are just beginning this remarkable journey. Therefore care should be taken to see to that this technology should be merged slowly with care and caution to avoid any untoward incidents.
Ron Kilgarlin is of the opinion that since AI is capable of interpreting a huge amount of data, its potential in healthcare is endless. AI can detect health problems quicker, give personalized treatment, automate processes and discover drugs. It also holds promise for the patients in their safety and lowering the cost of treatment. AI can also modify defect in cognitive functions and correct the disorders. The future of AI is filled with promises and possibilities for improvement and innovation and that is going to be an asset to medical industry. Hence the future of AI gives the assurance of quick, accurate and quality health care.
Conclusion
AI technology is the trend changer of medical care in the recent future thanks to its sophisticated framework and quick data analysis. The conversational AI is playing an important role as Chatbots in helping the patients track health improvement and send notifications based on that. These reports aid in quick decision making to direct the patient. Due to its wide application it is no wonder AI is set to rule the medical world.