AI in Healthcare 5 Real-World Examples

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In recent years, AI (Artificial Intelligence) has burst onto the scene in the healthcare industry, giving rise to new innovation which promises to improve workflow efficiencies and patient health outcomes.  From diagnosis to home care and treatment, AI has proved to show potential to support patients and healthcare professionals at every phase of the care continuum.  Whether it is about patient experience or supporting improvements in patient care outcomes, AI does it all.  Besides enabling medical practitioners and clinicians to spend maximum time in direct patient care without exhaustion, it helps boost the productivity and efficiency of care delivery.  The very nature of the COVID pandemic has advanced healthcare software development and increased AI spending in healthcare. 

The digital-first approach to healthcare, driven by AI, has gained credibility significantly.  In the healthcare sector, AI use cases resolve one of the greatest challenges in the industry- the lack of time.  Here we have presented five real-world examples of Artificial Intelligence in healthcare, presenting how it can enhance experiences for staff and patients alike and transform your business. 

 

Applications of AI in Healthcare

 

Robotic Surgeries

In the form of collaborative robots, AI technology has brought about a revolution in the surgery field.  The revolution is seen in terms of their depth and speed, making fine incisions.  The result of surgery, particularly a complex or new process, can change the skills of the surgeons.  AU utilization is able to case-to-case variations, at the same time boosting the efficiency of the most skilled surgeons.  AI machines alleviate the probability of shudders or any other accidental movements at the time of surgery as they are precise.  AI-controlled robots are capable of offering 3-D magnification for articulation when performing with better miniaturization and precision.  Healthcare software development company develops AI that can execute basic acts of precision stitching and cutting.  To devise new surgical methods, AI machines can employ data from past operations.

 

Chatbots

Artificial Intelligence has the capability to enhance primary triage and care via chatbots.  Connecting becomes pretty simple for patients as chatbots offer immediate conversational responses.  They are capable of saving money on avoidable trips to the medical practitioner.  Chatbots can, in fact, help healthcare providers to surpass the expectations of patients while improving patient outcomes when executed effectively.  Chatbots implement an all-in-one communication method so that they can encourage patients to proactively share their health information.  This enables medical practitioners to hone patient care quality, boost patient satisfaction, and mitigate costs.  Thus, AI enables automation and a smooth flow of primary care, thus leaving doctors to focus on dreadful and critical cases.  Also, AI solutions in healthcare have been taking a more humanized approach.  The digital human platforms that are equipped with integrations into Microsoft, Google, Amazon, and IBM enable healthcare providers to deploy and create digital-human employees with much ease.  Thus, hospitals can control digital humans because health assistants provide 24/7, empathetic help to patients.

 

Precision Medicine

In the healthcare sector, precision medicine is one of the most treasured examples of AI.  Its foundation depends on the large amounts of data collected from various disruptive technological innovations like health sensors, advanced biotechnology, and cheap genome sequencing that are used at home by patients.  Intel has lately developed one deep learning algorithm collaborating with USA's Scripps Research Institute.  It can identify 23 patients who have high cardiovascular disease risk with 85% accuracy undetected by traditional statistical methods.  Moreover, IBM Watson and Google DeepMind are leaders in mining medical records.  Here, the aim is to create a cognitive assistant armed with a spectrum of clinical knowledge apart from analytical abilities and reasoning.

 

Virtual Nursing Assistance

AI systems improve nursing assistants available 24/7.  Virtual nursing assistants can save a lot of money from performing interaction with patients to giving them direction to the best and the most effective care setting.  They can answer their questions, monitor patients, and hence give quick answers in real-time.  Nowadays, communication between patients and their health care providers has become consistent and regular with the applications of virtual nursing assistants.  As this happens between office visits of patients and their doctors, there are lesser chances of unnecessary hospital readmission and hospital visits.  AI-powered virtual assistants offer personalized experiences to patients, thus helping them detect the illness on the basis of symptoms apart from monitoring patient health status and scheduling doctor appointments.  A virtual nursing assistant can guide patients through the treatment course.  This application of AI can be adopted to perfect the self-management skills of patients and enhance patient engagement to prevent severe conditions from worsening.  The first virtual nurse in the world, named Care Angel, is able to provide wellness checks through its voice and AI.

 

Administrative Workforce Assistance

The Automation of Administration can ensure that care providers prioritize urgent tasks, thus helping nurses, assistants, and doctors save time on their regular routine jobs.  Technology such as voice-to-text transcriptions helps on the administrative end of healthcare.  They aid in automating non-patient care activities like writing chart notes, prescribing medications, and ordering tests.  Examples of AI in healthcare include a partnership between an AI development company, IBM, and the Cleveland Clinic.  IBM's Watson mines big data and assists physicians in providing an efficient and highly personalized treatment experience to patients.  Moreover, physicians can analyze medical papers in thousands with the use of NLP (Natural Language Processing) and learn about their diverse treatment plans.

 

Wrapping up

The examples and applications of AI in healthcare hold the promise of efficient clinical trials, improved success rates, affordable healthcare, and a better quality of life.  The world of AI in the healthcare market size is booming, and this spectacular growth needs healthcare institutions to embrace AI to offer cutting-edge healthcare solutions to customers.  By aligning with an AI development company that can help strategize AI investment and guide you backed by industry expertise, institutions must exploit and explore the full potential of AI tech.

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