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Implementing AI-Based Digital Healthcare Solutions for Improved Chronic Condition Management

Implementing AI-Based Digital Healthcare Solutions for Improved Chronic Condition Management

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:

  • A large dataset of historical data on patients with chronic conditions. This data can be used to train AI models to identify patterns and trends in patient behavior
  • A platform for deploying and managing AI models. This platform should be able to handle the large volumes of data and the computational resources required for training and running AI models
  • A team of data scientists and engineers to develop and deploy AI models. These experts will need to have a deep understanding of both AI and healthcare

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:

  • Patient data aggregation: AI-based digital health solutions can use a master patient index (MPI) to aggregate an individual’s health information for clinical analysis, research, care coordination, and improved patient outcomes
  • RPM data for chronic care management: By wearing a RPM device, data like blood pressure, temperature and heart rate can be recorded and stored in an AI-based healthcare solution. This allows patients with chronic conditions to contribute to their comprehensive health view without having to visit a brick-and-mortar healthcare facility
  • Patient data control: AI-based healthcare solutions can capture complete patient medication histories and make it easy to share with other providers and public health organizations to ensure safer and more effective care
  • Patient self-care engagement: These platforms can enhance patient self-care by offering important follow-up information, instructions, reminders, and links to necessary resources. Information technology affects more and more of patients’ lifestyle today and many feel more comfortable accessing services digitally
  • AI-powered chatbots can help patients to self-manage their chronic conditions. These chatbots can answer questions, provide information, and help patients to stay on track with their treatment plans
  • AI-powered virtual assistants can help doctors to diagnose and treat chronic conditions. These virtual assistants can access patient data, analyze medical records, and provide recommendations to doctors
  • AI-powered predictive analytics can help doctors to identify patients who are at risk for developing chronic conditions. These predictive analytics can help doctors to intervene early and prevent chronic conditions from developing

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:

  • Research operationalization: These platforms can take structured and unstructured data from multiple sources to crystallize, categorize, and classify it for practical clinical use. This is particularly useful when applied to a chronic condition situation as research is ongoing
  • Data integration: AI-based healthcare platforms can integrate data for multiple uses and users; e.g., billing data for administrators; patient diagnostics and treatments for physicians; data analysis for researchers
  • Performance management: AI-based healthcare solutions can act as a complete healthcare data ecosystem to improve clinical, financial, and administrative performance. For repeat chronic condition patients, this ensures the healthcare facility can remain consistent with each visit
  • Revenue management: AI-based platforms can capture, unify, and ratify data such as codes, charges and invoices for clinical services, lab tests, and medications. Digitization increases and optimizes billing, patient care, and documentation
  • Hospital operations: AI-based healthcare digital solutions empower providers to make more informed decisions regarding chronic condition management and staffing by monitoring relevant on-site hospital operations versus industry standards

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.

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