Personalization permeates the consumer experience in the digital world. Digital health technologies have the potential to do the same for our health. Internet of Things (IoT) devices such as connected blood pressure monitors, weight scales, and blood glucose meters are revolutionizing risk identification in healthcare. Sensors on smartphones can also provide insights into personal health and can be seamlessly integrated into daily life.
One of the major benefits of IoT technology in healthcare is that it allows clinicians to quickly and accurately identify risks and share real-time data with other stakeholders to improve care coordination and personalize treatment. It’s possible. Here’s how the landscape is being reshaped.
continuous monitoring – Smartphones can collect heart rate variability and breathing rate without active user involvement. Patients can use these devices at their convenience, regardless of clinician availability, and they outperform traditional methods in terms of the amount of data collected. When connected to medical professionals through electronic medical records and data networks, these devices provide a more comprehensive view of the patient than during a hospital visit. It also provides immediate insight into deviations from established medical standards that may otherwise go unnoticed, creating opportunities for more effective interventions.
statistical analysis – Collecting more data more frequently may seem like a hassle, but data analysis tools address that concern. Machine learning algorithms are advanced options for recognizing patterns, but simpler algorithms can also be effective. Leverage the wealth of computing power available from leading cloud service providers to sift through massive datasets for subtle patterns and anomalies using rules engines, regression-based analysis, or basic statistical analysis. You can discover it.
predictive model – These tools improve the work of medical professionals by detecting early signs of health problems that may be missed by traditional methods, automating data analysis, and uncovering actionable insights. Reduce the load. These can also be used to develop predictive models to predict health risks. By analyzing historical data and trends, health care professionals and payers can gain better insight into population health and proactively intervene with targeted resources and benefits to improve health outcomes. You can encourage healthy behaviors that prevent negative effects.
Using data and analytics generated by smart devices, physicians can leverage patient data repositories to tailor care paths to patient preferences and behaviors without the time-consuming process of manual data analysis. can guide the patient.
This cloud-based data repository acts as a hub connecting all stakeholders with the patient at the center. Your doctor can adjust your medications, your health plan can suggest resources for sourcing healthy foods, and your nutritionist can recommend dietary changes.
Perhaps most importantly for patients, this type of personalized solution can help halt the progression of symptoms. For example, an estimated 70% of people with prediabetes will eventually develop type 2 diabetes if they do not take steps to manage the condition.1
Personalization is the way forward for the healthcare industry, which prioritizes patient experience rather than addressing problems with a one-size-fits-all approach. Patients benefit when healthcare evolves by incorporating vetted lessons from the technology industry. Data-driven risk identification enables holistic care by shifting the focus to include the individual patient situation, not just health complications. This represents a transformative shift towards personalized, proactive healthcare, driven by the power of data and technology.
By leveraging data from mobile and connected devices and employing advanced analytics, you can develop smarter systems to identify risks and initiate timely interventions. Implemented on a broader scale, such approaches can also address some of the critical access to care challenges prevalent in today’s maternal health landscape.
For the full article and more information, visit https://bit.ly/45S66av.
