Chronic conditions are plaguing the American public and flooding healthcare facilities nationwide. According to the Centers for Disease Control and Prevention, 90% of the $4.1 trillion in annual healthcare spend in the U.S. is for individuals with chronic and mental health conditions. At the heart of the problem is a lack of comprehensive understanding of the living conditions, lifestyle choices, symptoms, and care plans that all contribute to a patients’ total health.
Data can help paint this picture.
Digital transformation has ushered in more innovative approaches to traditional healthcare. Virtual care, remote patient monitoring (RPM), and social determinants of health (SDoH) all create valuable datasets that help illustrate a patient’s total health. How can they turn this data into actionable insights that can improve healthcare outcomes? The answer: implementing an AI-based healthcare digital solution.
Disparate Data Sources Create Widespread Healthcare Challenges
Patient data collected from doctor visits, diagnosis, and medication, as well as the data collected through RPM wearables plays a huge role in delivering care. However, healthcare data is very complex and carries sensitive information. Therefore, it is difficult to share healthcare data and provide a unified view. Complex, siloed systems and a lack of data standardization obstruct important information access and negatively impact the quality of patient care. From a provider perspective, siloed data can hinder operational efficiency and revenue growth.
Transforming Healthcare with Digital Solutions
AI-based digital healthcare platforms enable entities across the healthcare ecosystem to leverage all their data assets to deliver higher service levels, increase operational efficiency, and achieve higher financial performance. These platforms help healthcare and life science organizations centralize, utilize, and monetize their data. This unified view enables users to harness healthcare data assets more effectively for diagnostic, exploratory, predictive, and prescriptive needs. Compliant with industry standards and regulations like HIPAA, GDPR, FDA, and FHIR, AI-based digital healthcare platforms provide a secure solution to some of healthcare’s biggest challenges.
The use of AI-based digital healthcare solutions has the potential to revolutionize the way chronic conditions are managed, leading to better patient outcomes and reduced healthcare costs.
Implementing AI-Based Healthcare Digital Solution for Chronic Care Management
AI-based healthcare digital solutions are particularly helpful in the case of chronic condition management. For implementation, you will need the following things:
How an AI-Based Healthcare Digital Solution Can Help Patients with Chronic Conditions
An AI-based healthcare digital solution is extremely beneficial to the patient’s journey because it offers a customized and unified view of all their data. These can be designed specifically to help patients manage their chronic conditions by providing a range of features as needed. The other advantage of patient portals is that they allow patients to take a more active role in their care. With features like medication reminders and food tracking, patients with chronic conditions can stay on top of their treatment and make better decisions about their health.
Below are other benefits of AI-based healthcare digital solutions for patients:
How an AI-Based Healthcare Digital Solution Can Help Healthcare Organizations
In a sense, data is a gold mine for the healthcare industry. According to statistical data, 30% of data volume in the world is produced by the healthcare industry. But when it is siloed off in a myriad of locations and forms, it’s largely unhelpful in increasing the effectiveness of healthcare organizations. That is where an AI-based healthcare digital solution comes into play.
Below are several ways AI-based healthcare solutions can help healthcare organizations:
Implementing an AI-Based Digital Health Solution to Future Proof Chronic Condition Management
It’s clear that chronic conditions are holding patients back from living fulfilling lives. This motivates healthcare organizations to seek innovative ways to provide higher quality care. AI-based digital health solutions can bridge this gap. Implementing one such platform requires healthcare organizations to continuously improve the AI-based digital health platform based on feedback from patients and staff, as well as the latest advances in AI technologies. And if healthcare organizations are committed to digital transformation and its power to revolutionize patient care, then they can future proof their chronic condition management for a happier, healthier future for all.
Apexon acts as a data accelerator for companies in the healthcare ecosystem-enabling you to harness your healthcare data assets more effectively. Apexon’s Healthcare Data Analytics Platform (HDAP) can be used by different players in the healthcare ecosystem to address multiple data use cases to improve research, patient care, and operational processes. To learn more, check out the Apexon Healthcare Data Analytics Platform page or get in touch directly using the form below.