Technological innovations and digitization have revolutionized the field of healthcare like never before. Additionally, COVID-19 has played a major role in accelerating its adoption and usage. Patients and doctors have benefited from remote monitoring, teleconsultation, electronic medical records and electronic health records. Doctors are able to provide instant advice, feedback and support to their patients through this system.
AI and machine learning help healthcare professionals detect, manage and cure disease. Among the innovations in this field are sensor-based medical devices.
There are many ways technology benefits the healthcare industry.
Early and accurate diagnosis
AI helps doctors accurately diagnose patients, recommend specific therapies, and predict risks. Before the advent of technology, false diagnoses were due to human error. Thanks to technology, the problem was eliminated by an instant and precise diagnosis. AI applications are used in oncology to detect cancers, machine vision applications help pathologists identify diseases in blood tissue, facial recognition helps match phenotype correlation with certain rare diseases.
Portable medical device
Adoption of AI technology is also happening in the medical device industry, and it’s not just about integrating exciting new features and high-end features into the devices themselves, but It will also allow manufacturers to reap the rewards of new service models where, instead of just selling and supporting devices, they can capture recurring service revenue streams, while strengthening customer relationships. The use of ML and AI inference in medical applications has the potential to transform modern healthcare and save many lives. There are many wearable devices on the market that allow regular monitoring of an individual’s health without causing discomfort. Some of the devices that have caught the eyeballs are portable ECG machines, glucometers and blood pressure monitors.
Improved patient experience
The patient experience has been improved by the ease of booking appointments through telemedicine. Additionally, AI can be used to develop a patient service model that would result in lower costs, more efficient treatment, and a better patient experience. Patient satisfaction is a top priority for most healthcare professionals. Using machine learning and AI, researchers can instantly analyze patient data to provide insights that can be used to develop new cures for diseases.
A variety of complex procedures were assisted by AI-enabled robots. To accomplish the desired procedures, their bodies are equipped with mechanical arms and cameras.
Essentially, they are designed to reach all parts of the body. With robotic surgery, patients can endure less pain, recover faster, and take less time to recover.
Both EHR and EMR are considered effective in streamlining healthcare data while allowing physicians to focus on patient care. It provides easy access to all patient information at a glance. Previously, data was extracted manually, which made the process cumbersome. AI in the EHR and EMR helps extract patient data from structured and unstructured sources, which saves a lot of effort, time, and money.
With an ever-changing environment, technology is bringing greater breakthrough in healthcare. The motto “Healthcare for All” will be achieved if AI and ML can be used effectively and efficiently to achieve the desired results. In addition to imaging, AI is also hugely used by doctors and patients to store patient data. Additionally, many Indian government initiatives such as National Digital Health Mission, Aayushman Bharat, and eSanjeevani also aim to provide easy and affordable access to healthcare for the masses.
The opinions expressed above are those of the author.
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