Cognitive Computing: Healthcare’s Next Big Wave
The potential of cognitive computing is driving investment and interest in the field of technology and its application applies all over: for instance, it has empowered self-directed vehicles, marketers are utilizing it to better comprehend and focus on their audiences, and investors are utilizing it to enhance their research. In any case, the best disruption resulting from the augmentation of cognitive computing is likely to occur in the field of healthcare.
Imagine a world where medicinal services experts could leverage the best ability from world-class doctors to reach out to the most remote areas and bring more patients to life-sparing clinical trials. The era of cognitive medical services will unite individual and clinical research and social information from a diverse scope of medical sources to define a patient’s way to better wellbeing. What’s more, it’s the next BIG WAVE in the Healthcare industry.
Clinicians are generating enormous amounts of health information using mobile apps, genomic and clinical research, personal fitness trackers, and electronic medical records. Unluckily, much of these data are being underutilized, and as a result majority of patients don’t have any access to their personal data. Using cognitive technology, now we can find health data, which was previously inaccessible, and it can put a positive impact on the healthcare field more than we can imagine!
The future of healthcare is centered around giving people an overall picture of the many factors that influence their health. Looking for similar conveniences they access in different ventures, today’s patients need integrated, transparent, customized, and high-quality care. To give the experience empowered customers, healthcare organizations require the best approaches to take tap into and analyze medical data in real-time. The real-time analysis permits specialists, insurers, doctors, caseworkers, and different stakeholders to settle on the most informed choices, while additionally giving patients more control over their own care. Still, this perplexing coordination requires huge time and can tax the assets of even the most flexible health organizations.
Cognitive computing establishes a creative progression of frameworks and algorithms highlighting hypothesis generation and assessment, Natural Language Processing (NLP), and dynamic learning. Using it helps to coordinate care by rapidly and intelligently parsing through disparate data. Thus, cognitive systems can enhance efforts to increase health information sharing for superior patient outcomes. Advances in information accessibility, availability, and cognitive computing are permitting specialists, analysts, and other health experts to customize care with more prominent diagnostic sureness. This empowers healthcare providers to improve, and make more practical choices, and it gives people actionable insights they have to understand their health and get genuinely personalized care.
Some of the benefits of cognitive computing in healthcare include:
- Uncovering of new insights into relationships among phenotypes, pathways, proteins, diseases, and genes.
- From cancer treatment to modernized clinical training and clinical trial matching, cognitive computing can transform the way medical centers impact health and wellness.
- Identify the most crucial attributes of a patient case and offer easy summaries for both healthcare providers and patients.
- Optimize patient recruitment and selection during the clinical trial matching process.
- Support for creating an individualized treatment plan, thus, improving physician, and patient experience.
- Cognitive computing takes a central stage in healthcare by addressing the concerns circling compliance and privacy with HIPAA (Health Insurance Portability and Accountability Act) requirements. These compliance rules need to be implanted into the AI that communicates with patients regarding their health. As a result, clinicians can solve issues quickly by streamlining the reporting of dangerous health conditions and adverse events.
In the future, it would not be shocking to see artificial intelligence-powered clinical assistants handling the routine checkups and health problems. This will enable to speed up the process and ensure that the doctor’s time is not wasted. Many organizations are teaming up with other specialty care centers and universities to further develop the cognitive system to predict, diagnose, and help in the treatment of other diseases as well. Cognitive computing is definitely an incredible boon to mankind in leading a healthier lifestyle that is ever-challenging. And this is the time we could realize and transform healthcare on a global scale.
Scalable Health specializes in providing next-generation healthcare data, analytics, and digital transformation solutions enabling healthcare organizations to optimize healthcare.
We provide and support healthcare technology solutions that employ next-generation technologies such as Big Data, Social, Mobile, and Cloud to deliver cost-effective real-time platforms and products enabling healthcare organizations to improve health care significantly, to manage patients and diseases efficiently with personalized care, reduce fraud and waste, accelerate drug development and achieve operational excellence.
Our focus on technology innovation and collaboration with the world’s leading technology companies helps us stay ahead of the curve. With extensive capabilities in healthcare technology, world-class service quality, and a global resource base, Scalable Health understands industry-specific challenges. Our value lies in our ability to link the best technology solution to complex business challenges in the most cost-effective and innovative way. Headquartered in New Jersey, we are a Minority Certified company by the National Minority Supplier Development Council and State of New Jersey, with operations in the USA, Europe, and Asia.
Cognitive Computing: Healthcare’s Next Big Wave
Follow Us on LinkedIn – Scalable Health