Impact of healthcare mobile apps on patient outcomes

INTRODUCTION

Healthcare mobile applications are quite the rage in the US

We have witnessed a boom in the use of healthcare mobile solutions in the post-COVID-19 years across the US. As over six billion smartphone users turn to the convenience and accessibility of healthcare mobile apps, the market size, estimated at $18.65 billion in 2024, is expected to reach $100.66 billion by 2029, growing at a CAGR of 40.11%.

The North American market is expected to dominate as the target population is enormous: the rising geriatric population and chronic disease patients (coronary heart diseases, atrial fibrillation, stroke, hypertension, and diabetes). Thanks to growing health awareness, rising healthcare expenditures, increasing healthcare technology adoption, and a shift from clinic-centric care to patient-centric care, healthcare mobile app development companies are innovating new solutions, too.

Today, healthcare mobile app development is a vibrant market segment with many choices ranging from fitness and wellness tracking to chronic disease management and mental health support. Though there are web-based and hybrid applications, mobile healthcare applications dominate as there are distinct advantages over “native” apps (downloaded and installed on the phone).

• Offline access: Can function without internet access, and patients can access features and data when and where needed - important for critical health information and emergency situations.
• Push notifications: Patients can receive messages and alerts directly on their phones, promoting medication adherence, appointment scheduling, and timely healthcare interventions.
• Enhanced security: Device-specific security features, including fingerprint and facial recognition, can be leveraged by native apps, allowing more robust data protection and user authentication.
• Device integration: Native apps can access sensors and hardware features like GPS, camera, and microphone, enabling features such as remote patient monitoring, activity tracking, and symptom measurement.

SEGMENTATION

Self-management drives mobile app development and use

The sense of empowerment and self-management it lends has patients experimenting with various healthcare apps. Health mobile application follows clear segmentation and can be broadly classified as:

Fitness and wellness apps: The most popular appstrack activity, movement, dietary habits, and other lifestyle behaviors. Some are designed to help you set fitness goals; others track calories burned daily; some act as personal trainers with suggestions for new workouts and expert fitness advice, and other apps let you join a supportive community and stay motivated. Apps that focus on nutrition, sleep, meditation, and activity tracking are labeled wellness apps. While most apps encourage physical activity and healthy eating habits, over-reliance on app-generated recommendations may harm individual needs. Also, privacy concerns exist as they collect and use personal health data.

Examples: Fitbit, MyFitnessPal, Freeletics, Calm, Headspace

Reminders and self-diagnosis apps: These tools ensure medication adherence and help initial health assessments. They are powerful aids that make patients proactive participants in healthcare management software solutions. They are designed to send timely reminders to patients to take medications, track adherence rates, and facilitate early detection of health issues through symptom checks. However, they should not be used without professional oversight as misinterpretation of symptoms and delayed medical interventions can cause anxiety and harm health.

Examples: Medisafe, PocketRx, WebMD, Mayo Clinic, MangoHealth

Mental health and addiction recovery apps: Apps that provide support and resources to patients with mental health conditions and substance abuse offer anonymity and flexibility, reducing the stigma associated with these issues. Features such as mood tracking, therapy sessions, and recovery support groups promote mental well-being. Cognitive behavior therapy and evidence-based games and activities are provided as tools for coping strategies outside traditional therapy settings and self-management. While under served communities can benefit from mental health EHR software that help reduce stress, inappropriate treatment without a doctor’s guidance and in-person therapy can be self-defeating.

Examples: Happify, Sanvello, Nomo, AlcoDroid, Quit Genius

Chronic disease management apps: Such apps cater to patients with long-term health conditions and debilitating diseases. Diabetics, asthmatics, hypertension patients, and those suffering from Parkinson’s disease, Alzheimer’s disease, and dementia can benefit from remote monitoring, medication adherence reminders, balance training tools, therapeutic animations, music therapy, and patient engagement features in these apps. They empower patients to manage chronic conditions with good communication. and progress tracking. However, without integration with electronic health records, healthcare providers cannot use the app data. There could be misinterpretation of health metrics if there is no data accuracy.

Examples: Glucose Buddy, Lumosity, SingFit, Nymbl, StudyMyTremor

Physical health and rehabilitation apps: Those recovering from serious accidents or injuries and undergoing rehabilitation receive guidance from these apps. The convenience of access, real-time monitoring and feedback, and interactive features promote quick healing and recovery. These apps encourage adherence to prescribed rehabilitation protocols, including exercise with customizable timers, instructions, diet, and rest. While the apps can provide patient education, individual rehabilitation needs may not be met as personalization is limited. Also, lack of supervision by qualified healthcare professionals may lead to over-exertion and improper techniques that harm.

Examples: PT Timer, Orca Health, MedBridge Go, Exer Health, Omada Joint and Muscle Health

Sleep disorder apps: These apps aim to improve sleep quality and address problems like sleep apnea and insomnia. They track sleep patterns and provide personalized tips on sleep hygiene, sleep debt, and relaxation techniques. Sleep stories, sounds, light exercises, guided breathing and meditation, and a wide selection of music are included as features. Some apps are bundled with smart devices, such as lights that provide ambient lighting and sunset and sunlight alarms that sync with your circadian rhythm; there are companion apps, such as sensor-enabled headbands that track sleep stages -light, REM, and deep. These apps provide insights into factors that affect sleep quality and offer recommendations to optimize the sleep environment. They may not fully or accurately diagnose underlying causes of sleep disorders, though.

Example: Sleep Reset, Sleep Cycle, Your App, Hatch, Rise Science Sleep Tracker