Trends and Opportunities for Comprehensive Disease Management Systems

The opportunity for Digital Health Bridges and for improved disease management and research is highly dependent on the specific disease.

This is a review of existing systems that would do the same or similar to what we want to do.

This could be viewed as competition. However, we would be far more worried if nobody could see the same opportunity as we do. 

Supporting Trends

While there are some key applications for AI, such as for diagnosis and physician notes, most new AI applications relates to specific solutions to specific diseases.

Disease-Specific Solutions Supported by AI

  • AI-enabled ECG
  • AI-enhanced Ultrasound
  • Imaging Interpretation, i.e. Pancreatic cancer
  • Population screening: Cancer, TB, Alzheimer's, Diabetes (retina), autism
  • Real-time monitoring: Diabetes, ECG, Blood Pressure
  • Lung problems: Asthma, COPD
  • Kits for urinary tract infection
  • Ultrasound scans
  • Mental Health – MAD, ADHD, suicide risk evaluation
  • Risk of Aneurysm rupture
  • Heart failure, Covid-19 in ER
Value-Based Care Models are Emerging also for Specialty Care
Value-based care is expanding due to its effectiveness, ensuring patients receive the most appropriate and cost-effective treatments.

The model is dependent on providing good and cost-effective care.
Integrated Work Flows for Comprehensive Care
Vertically integrated flows address complex problems and unlock significant revenue streams across the healthcare value chain, enhancing overall efficiency and patient outcomes.

Solving bigger problems focused on integration issues is where AI and new work flows have their greatest potential. This works best for one disease at the time. Vertically integrated flows can collect more relevant data over the whole care spectrum, longitudinally
AI-Powered Triage & Virtual Clinics
AI excels at triage, providing quick and accurate initial assessments, directing patients to the most appropriate care pathways.

This may enable a specialized clinic to also gain referrals from virtual providers of general practice services.

Virtual clinics, independent on geography are far easier to scale and can easier concentrate patients into specialty care.
AI for Quality Control and Standards
Value-based care requires robust quality control, standards, and guidelines. AI tools can seamlessly integrate these elements into existing workflows, improving accuracy and consistency and the data needed to prove the value of value-based care.
  • An increased attention and focus on self-management of diseases drive by cost-benefits.
  • Patients expectations are changing towards empowerment and self-service solutions.
  • AI makes possible to effectively utilize and analyse more data that can be collected by new devices and methods.
  • A disease-specific focus can more easily incorporate donated tissue (blood, urine etc.) and other patient generated data - there are patient groups to partner with.
  • Real-time monitoring is becoming more common. Connected patient apps make it possible to integrate such information

Examples of Patient Integrated Disease Management Systems

CCCare System for Inflammatory Bowel Disease

The CCCare system integrates clinical practice, quality improvement, and research through three core components. The clinical module supports real-time patient management with disease-specific workflows, automated documentation, and standardized treatment plans, while feeding de-identified data to a clinical quality registry (CQR) for nationwide benchmarking and audit functions.<br>

Krishnaprasad K, et. al. Crohn’s Colitis Care (CCCare): bespoke cloud-based clinical management software for inflammatory bowel disease. Scand J Gastroenterol. 2020 Dec;55(12):1419-1426. 

  • Comprehensive patient portals for remote monitoring of symptoms and medication adherence
  • Automated safety alerts for drug toxicity
  • Biologic therapy authorization workflows
  • Leveraging the longitudinal dataset for predictive analytics and personalized therapy algorithms
  • Establishing a continuous learning ecosystem connecting routine care to research pipelines

uhttps://propellerhealth.com/our-platform/

Geoff Cook, Chief Executive Officer of Noom.

“We’ve spent the last two years drawing on Noom’s deep expertise in behavior change to create the ultimate GLP-1 companion program to solve the medication’s twin challenges, persistence and muscle-mass loss, while also driving enhanced weight loss outcomes. 

With a number of GLP-1 medications in Phase 2 trials, we believe that the winning formula to stand out in a crowded landscape will be to combine medication with advanced behavior change to drive differentiated outcomes, while proving it with Phase 4 studies. 

Having built Noom to be the ultimate GLP-1 companion, we believe the company is well positioned in the emerging PDURS landscape.” 

https://www.noom.com/in-the-news/nooms-glp-1-companion-receives-major-update-to-prepare-for-new-expected-prescription-drug-use-related-software-pdurs-model/

The Examples Above Shows the Way for Other Diseases

Some of the solutions have published about their journey. There are solutions available for creating far better disease management and learning systems.

Patient Benefits of
Disease Management Apps

  • Improved Self-Management
  • Enhanced Medication Adherence
  • Increased Health Awareness
    • Patients using chronic disease management apps show improved understanding of their health metrics and how lifestyle choices impact their condition.
    • Regular tracking and monitoring lead to increased awareness of symptoms and potential triggers.
  • Better Communication with Healthcare Providers
    • 78% of patients report that using health apps enhances their ability to communicate effectively with their healthcare providers.
    • Sharing app-generated health data with providers leads to more productive and focused medical appointments.
  • Personalized Care and Feedback
    • Apps using AI and machine learning can provide tailored advice based on individual patient data and patterns
    • Personalized feedback has been shown to increase patient engagement and motivation in managing their condition.
  • Reduced Hospital Visits
    • Mobile health apps can decrease hospital readmission rates by up to 30% by providing continuous monitoring and personalized feedback
    • Patients using chronic disease management apps report feeling more confident in managing their condition at home, reducing the need for frequent hospital visits.
  • Improved Quality of Life
    • 82% of patients using chronic disease management apps report an improvement in their overall quality of life
    • Users experience reduced stress and anxiety related to their condition management, leading to better mental health outcomes.

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