Data is the new currency for a successful digital transformation. The healthcare industry is poised to benefit greatly by optimizing healthcare data that is being constantly generated in the current digital age. A patient’s medical records and electronic health records (EHRs) are no longer the only healthcare data sources. The rise in healthcare-based mobile apps and a growing prevalence of health and fitness wearables are fueling the rise in healthcare data generation. The Internet of Medical Things (IoMT) comprises interconnected devices within the health IT infrastructure.
The healthcare data collected through leveraging the power of IoMT implementation can streamline healthcare delivery, give way for personalization of patient care, introduce efficiency in treatment planning, enhance health outcomes and increase the overall quality of patient care.
Photo by Solen Feyissa on Unsplash
Wearables and Artificial Intelligence
Artificial intelligence and wearable technology make perfect sense together. The healthcare data generated by wearable devices can be processed via AI algorithms to yield timely inferences allowing healthcare practitioners to make data-backed decisions.
Wearable devices also facilitate remote delivery of care through timely intervention by healthcare professionals via telemedicine. The expansion of reach and accessibility of high-speed internet and growing demand for better treatment options at lower costs is propelling innovations that couple wearable devices powered by artificial intelligence.
With an aging population and a rise in chronic diseases, the need for newer models for healthcare delivery is being felt more than ever. Telemedicine, combined with technologies like wearables and AI, can help bridge the gap, make healthcare more accessible, provide timely interventions and help keep patients out of the hospital while ensuring the quality of healthcare delivery.
The transformation is currently happening.
The use of AI-powered wearable devices to provide telemedicine facilities is not a futuristic vision. One such device is already in the market and has also received FDA approval in April this year. NHS hospitals at Dartford and Gravesham have partnered with Current (formerly known as Snap40) for a pilot program to monitor the patient’s vitals remotely and analyze the same through Artificial Intelligence.
At the discharge time, the patients are fitted with wi-fi enabled armband that records the patient’s vitals. They also receive a chatbot-equipped tablet that provides medication reminders and health-related information and can remotely communicate with the doctors on a real-time basis both via video and text.
With real-time health data being constantly analyzed by artificial intelligence algorithms, these devices can pick up the warning signs and send out alerts to the patients and the doctors.
Benefits of AI-powered IoT devices
The advancement of wearable devices powered by AI algorithms is supported by concurrent technological progress in both hardware and software. Bulky devices are a thing of the past. Wearable devices come in all shapes and sizes now and can be conveniently carried around and worn by patients resulting in increased compliance. The strides that artificial intelligence has been making in recent times are also fueling the adoption of these healthcare devices.
Here are the ways the combination of AI and IoMT are benefiting healthcare delivery via telemedicine
1. Personalization of care
The patient data collected via wearable devices allows healthcare practitioners to make a data-driven approach. Doctors can make data-backed decisions and formulate a customized health plan for the patients at an individual level.
While healthcare devices let the patients get access to their own healthcare data, for it to result in enhanced patient engagement, intervention by healthcare professionals becomes a necessity. Patient data needs to be interpreted and explained by the care providers, and this is where telemedicine factors in.
Leveraging the data collected by the IoMT devices, the AI algorithms can formulate tailored and personalized action plans. The treating physician can then remotely ensure the adherence to the plans, monitor the progress, and prescribe changes whenever necessary resulting in improved health outcomes.
2. Early diagnosis and timely intervention
Artificial intelligence and machine learning algorithms can be employed to identify patients at elevated risk of developing diseases. Radiological and histological analysis via AI has already shown promising results. Leveraging the AI-powered wearable devices to screen the patients and create a risk profile can result in timely interventions via telemedicine and improve the overall outcomes.
Identification of “at-risk” patients also allows the setting up of special touchpoints and timely interventions, thus reducing the burden on the hospitals, lessening the hospital admission and readmission rates, and reducing the overall healthcare delivery costs.
The patient and his caregivers may not be the best judge when deciding when to contact the doctor. Still, AI algorithms that constantly analyze the patient data collected by wearable devices can result in timely interventions.
3. Remote patient monitoring
Contrary to the traditional hospital setup where nurses and doctors check on the patient regularly, the wearable devices monitor the vitals on a minute-by-minute basis. Any anomaly that occurs can be immediately identified, resulting in quick alerting of the healthcare professionals and timely healthcare delivery.
AI-powered wearable technology has transformed the way we collect and analyze patient data. The widespread availability and adoption of these devices streamline the process of post-hospitalization monitoring. Healthcare professionals gain access to real-time patient data. Having AI processed data gives them vital insights into trends and patterns, which brings efficiency in healthcare delivery.
Using telemedicine for hosting follow-up appointments and treating patients remotely is a resource-efficient strategy. Healthcare practitioners can cater to many patients while bringing down the costs associated with healthcare delivery.
Virtual delivery of healthcare also saves up on the patient’s time and resources by not having to schedule visits to-and-from the hospital premises just for the sake of follow-up appointments, reduces hospital readmissions, and most importantly, prevents avoidable deaths.
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How can healthcare organizations successfully leverage technology?
Make use of AI in disease detection as well as treatment.
Artificial intelligence can be a vital resource during the diagnostic as well as the treatment phase. Diagnostic reports, scans, graphs, and vitals can be analyzed using AI to identify high-risk patients, both in hospital setup and on a remote basis. This is particularly promising in cancer detection, chronic pulmonary obstructive disease (COPD), and chronic cardiac conditions.
MIT’s computer science and artificial intelligence laboratory (CSAIL) has partnered with Massachusetts general hospital (MGH) to create a deep learning model that predicts the risk of the patient developing breast cancer in the future by analysis of patient’s mammography. The hospital is making progress into early screening and prevention programs at an individual level, making AI-aided early diagnosis a reality.
The use of AI and wearables can streamline the treatment phase as well. Cancer treatment, in particular, requires episodic encounters of the patients and healthcare providers. Even when intensive chemotherapy is ongoing, the patients spend a significant amount of time away from the clinical set up during which the side effects are required to be monitored.
With the help of wearable devices, AI can help in complex decision-making and adverse effects monitoring by recording the patient data. AI algorithms can also help in the decision-making process by determining when the situation calls for contacting the health care team. In case of emergencies, contact the emergency personnel can also be automated, which can potentially save lives in adverse situations as a result of timely alerts being sent out.
Leverage the power of IoMT through smartphones and other wearables
IoMT is a powerful asset when it comes to patient data collection. Huge devices that would disrupt the patient experience are already a thing of the past. Modern technological innovations in the hardware department have resulted in the development of microsensors which can be easily embedded in handy devices or even implanted in the form of biosensors.
Smartphones and smartwatches have also become an important component of IoMT. A wide range of sensors come in-built in these devices. Healthcare organizations can have custom-developed healthcare applications that collect patient data, provide real-time support to the patients or even act as telemedicine portals through video conferencing. Healthcare providers can also analyze and compare the relevant patient data to result in optimum clinical decision-making.
When it comes to mobile health applications, the possibilities are limitless. The health data collected can be further analyzed by AI algorithms to create personalized care plans. Healthcare providers can also use mobile apps and other wearables to ensure patient’s adherence to the care plans by sending out real-time reminders via push notifications or other alarms.
Take data security into consideration.
While the applications of patient data collection and its analysis are immense, healthcare data is inherently sensitive in nature. It is also subject to numerous regulations and legislations like HIPAA, HITECH, and GDPR, to name a few. While adopting any technology that involves patient data collection, you need to ensure compliance with the norms and establish adequate measures for the security of the patient data collected and stored.
If you are hosting the health data on the cloud, you need to ensure that the cloud hosting provider complies with the data security norms. Special considerations and additional security measures like data encryption and two-factor authentication need to be established to ensure that the patient data collected and stored stays in compliance with the regulatory norms.
Use other technologies in collaboration with AI.
The aim of technology in healthcare is to streamline the collection of health data, ensure its optimum utilization to yield actionable insights, enable collaboration between various stakeholders by facilitating data sharing and ensuring data security from malicious attacks. The use of other technology and artificial intelligence can help healthcare organizations achieve the above-mentioned objectives.
The pool of data collected can be analyzed via big data analytics to get vital insights into the trends and statistics. Cloud computing can significantly reduce data storage costs while facilitating remote collaboration at the same time. The use of blockchain in healthcare can add a much-needed layer of security with the storage and sharing of healthcare data.
Closing words
A combination of AI with wearable technology promises long-term ramifications for the healthcare industry. Successful implementation of the same needs to focus on the sensitivity of patient data and ensuring compliance with the security and regulatory norms.
The technological advances taking place in the healthcare segment are just the beginning. The impact and possible applications that technology will have on the grand scale of things have immense potential.
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