Table of Content
- 1.Simple data storage and high security
- 2.Improved operations and reduced strain
- 3.Better processes, shorter recovery times, and a higher success rate
- 4.Monitor health and track patient symptoms
- 5.Faster and more accurate diagnoses
- 6.AIoT helps to automate repetitive tasks
- 7.Drives efficiency right from patient care to administration
- 8.Helps to create a singular identity across different CROs
- 9.Helps patients in adhering long term treatment plans
- 10.Allows doctors to assess patients remotely
Healthcare professionals are no longer bothered by the inefficiencies of manual operations thanks to technological advancements. AI and IoT are the finest examples which helps this sector with increased operational efficiencies and optimized workflows.
Improving the healthcare quality is the major aim of this industry, thus, it is critical to have platforms in place that lessen the demand for doctors' time and patient visits for treatment.
AI and IoT may help healthcare sectors with asset management and fraud detection through superior data analysis and intelligence. Furthermore, AIoT gives doctors instant access to patient data while maintaining the highest level of security.
Let's delve further and learn how AIoT is transforming the healthcare business.
Simple data storage and high security
AI and IoT in healthcare are revolutionizing and changing the healthcare system with the help of advanced technologies and upgraded systems at healthcare facilities because of the effective usage of AI and IoT. This way the healthcare staff can easily record the data and information of the patients and the entire past medical history can also be stored and brought up easily whenever it is required. There is more security on the data protection side as well.
Improved operations and reduced strain
By combining AI and IoT in healthcare, we improve operational efficiency by tracking, collecting, monitoring, analyzing, optimizing, training, and automating. The combination of these two technologies reduces a huge burden of administration work for clinical staff, which then improves workflows and allows medical officers to spend more time with the patients and healthcare service delivery.
Better processes, shorter recovery times, and a higher success rate
AI has had a role in healthcare longer than many people realize. We've been using AI-powered technology for the early detection of diseases like cancer for several years. Diagnostics have gotten a boost from AI recently, as well. While AI has been assisting doctors in treating patients for close to 30 years, recent advances in technology and software have made for better, more precise procedures, with shorter recovery times and higher success rates. AI has been a driving force in the healthcare industry, more than any other industry, for many years.
Monitor health and track patient symptoms
The healthcare industry is being disrupted by the advent of AI and IoT. AI is being used to diagnose diseases and recommend treatments, and IoT is being used to monitor patients’ health and collect data. These technologies are helping to improve the quality of care and reduce costs.
AI is being used to diagnose diseases and recommend treatments. For example, Google’s DeepMind is working with the NHS to develop an AI system that can diagnose eye diseases. The system is already being used to diagnose diabetes and heart disease. For example, AI is being used to develop new drugs and personalized treatments.
IoT is being used to monitor patients’ health and collect data. For example, IBM is working with the Mayo Clinic to develop a system that uses IoT to monitor patients’ health. The system can track patients’ vital signs, their movements, and the environment around them. In addition, IoT is being used to develop new treatments. For example, IoT is being used to develop new drugs and personalized treatments.
AI and IoT are helping to improve the quality of care and reduce costs. For example, the use of AI and IoT can help to reduce the number of hospital readmissions. In addition, the use of AI and IoT can help to reduce the cost of care. For example, the use of AI can help to reduce the cost of drug development.
Faster and more accurate diagnoses
“AI and IoT advanced the healthcare business by assisting practitioners in making faster and more accurate diagnoses, increasing treatment outcomes. IoT-enabled gadgets and monitoring equipment assist healthcare practitioners in monitoring each patient's health more effectively. AI has also made it easier to collect, analyze, and provide patients with the information they need. These improvements make tracking vital signs, medications, and treatment plans easier, allowing professionals to deliver the greatest quality care for their patients and achieve better treatment outcomes.”
Common utilization of AI in healthcare involves NLP applications that can understand and classify clinical documentation. These NLP systems can assess unstructured clinical notes on patients, giving amazing insight into understanding quality, boosting methods, and seamless results for patients. It puts customers in control of their well-being and health. In addition, AI boosts the ability of healthcare professionals to seamlessly perceive the day-to-day patterns and needs of the people they care for!
These AI-enabled IoT devices assist healthcare providers in predicting and diagnosing the ailment in real-time. For example, by enhancing the scan quality, AI can support healthcare workers in swiftly diagnosing cumbersome scans, such as cancers.
AIoT helps to automate repetitive tasks
IoT-based solutions are integral for the digital transformation of healthcare. They help healthcare providers automate repetitive tasks like vitals recording, hospital inventory monitoring, medication orders, etc., and leave more time for patient care. Among healthcare customers I work with, the most popular IoMT applications are remote patient monitoring (e.g., for patients with cardiac diseases) and RFID-based hospital asset tracking.
AI can complement IoMT (e.g., to find patterns in vitals collected by smart medical devices) or be a part of a standalone solution like a clinical decision support system. Healthcare providers choose AI-powered solutions because they can analyze vast amounts of patient, administrative, and staff performance data, as well as find trends in it. For example, it helps quickly identify a patient's risk factors based on the analysis of the patient medical history, medical images, and lab test results.
Read More: How 5G will improve IoT Solutions?
Drives efficiency right from patient care to administration
Healthcare is an industry that has been historically slow to adopt new technologies. However, that is beginning to change, thanks to the proliferation of AI and IoT. These technologies are helping to drive efficiencies in every aspect of healthcare, from patient care to administration.
For example, AI-powered chatbots can help patients to schedule appointments and answer basic questions. IoT devices can be used to monitor patients remotely, freeing up nurses for other tasks. In addition, AI and IoT are helping to improve the accuracy of diagnoses and the effectiveness of treatments.
As a result, these technologies are having a profound impact on the healthcare industry.
Helps to create a singular identity across different CROs
The applications of both are limitless and hordes of product developers are racking their brains out to bring these technologies into the mainstream. Our expertise is in healthcare software, specifically clinical trials, and electronic data capture (EDC) systems. The common problems that we come across from CROs (Contract Research Organizations) are concerns regarding the authenticity and accuracy of the collected data during a study. For instance, one of the research facilities was having an issue where subjects/volunteers were enrolling in the study before their previous study effects had worn off for financial incentives. The effect is both the research data and the health of the volunteer are at risk due to these actions. IoT can help establish tracking using biometrics to avoid double enrollment and to create a singular identity across different CROs to ensure this doesn't happen. The other big problem is the enrollment of volunteers - sometimes they don't show up, sometimes they misbehave, etc. AI can be a very useful tool here that can ingest the data from the pool of volunteers and their history and provide recommendations on volunteers that a facility should target to minimize their recruitment timeframe and mid-study drop-offs.
Helps patients in adhering long term treatment plans
AI can help clinicians take a more comprehensive approach to better coordinate care plans and disease management and help patients precisely manage and adhere to their long-term treatment programs, scanning health records to assist the provider in discerning chronically ill individuals who might be at stake in a negative episode.
From 663.8 million in 2014 to 6662 million in 2021, the AI industry for healthcare applications is anticipated to enhance dramatically. Revenues from IoT in healthcare are expected to increase from $24 billion in 2016 to $135 billion by 2025.
There are recently 26 billion active IoT devices in the healthcare business globally.
Allows doctors to assess patients remotely
IoT solutions and associated medical devices let the doctor assess the patient remotely with real-time data. It helps fasten the treatment and gives real-time benefits like constant communication, lowering the usage of the hospital's resources and traveling expenses.
On the other hand, integrating AI into the healthcare ecosystem offers many benefits, including analyzing big patient data sets and automating tasks to deliver better healthcare faster and at a lower cost. As per Insider Intelligence, 30% of healthcare charges are associated with administrative tasks. Furthermore, getting ahead of patient re-admittance can save hospitals millions of dollars and help keep the patient's cost lower.
AI and IoT, the two major platforms, have gone a long way in the market and have a lot to offer the Healthcare business. Improved efficiency, asset management, fraud detection, and so on are some examples. AIoT has helped healthcare professionals minimize the inefficiencies of manual procedures and simplified their operations. This blog has gone through various ways AI and IoT can drive the Healthcare business.