AI in Healthcare Apps: Brief Guideline for Business Leaders 

In 2023, Artificial Intelligence (AI) affected every industry development, particularly healthcare. This year, companies are trying to consider technology from a strategic perspective. They implement AI-powered features and go to market with AI-based applications to satisfy emerging demand and get ahead of the competition. 

So, what should you know about the impact of AI on healthcare apps and the benefits it ultimately brings? Read on to find out the details!

Examples of AI in Healthcare Apps That Might Inspire You 

Transformation of healthcare apps with AI did their job - they completely changed how we used to get and provide healthcare services. Medical AI, Machine Learning, and Deep Learning became core technologies for proven solutions capable of supporting lives, ensuring accurate disease prediction, and affecting overall patient engagement. 

Considering the many technologies healthcare companies have implemented these years, the following 3 samples seem excellent regarding the functionality and overall impact on the healthcare industry development. 

IBM healthcare is a set of comprehensive AI-driven solutions across various healthcare segments, including clinical decision support, drug discovery, and patient care optimization. It uses vast data sets to provide tailored therapies, aids in disease diagnosis and offers predictive analytics for better healthcare outcomes​​.

SkinVision is an AI-based platform that defines skin cancer at an early stage. The platform applies ML algorithms to analyze photos of skin spots, providing users with assessments and recommendations for further action. 

Sensely is a sort of virtual nursing assistant that uses conversational Medical AI to interact with patients. The app assists in symptom checking, facilitates better healthcare communication, and provides valuable health advice, enhancing the healthcare experience and supporting efficient care delivery​.

Benefits of AI-powered Healthcare Apps 

• Advanced Accuracy: Artificial Intelligence helps accurately collect and analyze numeros data to prevent diseases. 
• Customized Treatment Plans: AI-based applications help businesses deliver personalized healthcare services. They consider various useful metrics such as lifestyle and medical history to tailor treatment plans.
• Enhanced Patient Engagement: Applications fueled by Artificial Intelligence work like IoT devices we used to. They offer personalized reminders and health tracking features to help patients take care of their health.
• Efficiency: Businesses can reduce manual tasks and focus on optimization. Routine processes like scheduling and billing are covered by AI. 
• Cost Reduction: AI-powered apps can help reduce service provision and purchase costs, becoming a cost-effective solution for businesses and patients. 

Transformation of Healthcare Apps: Challenges

• Data Privacy Concerns: Considering the number of sophisticated attacks, businesses feel it is tricky to manage vulnerabilities in their healthcare AI-based app and ensure compliance with international and local data protection acts.
• Integration on the Infrastructure Level: Building integration points of a new AI-based app with the current infrastructure requires compatibility with various software systems and data formats.
• Lack of Trust: Most patients aren’t ready to opt for AI-based solutions because of their unregulated nature and lack of strategies to manage and apply them properly. 
• High Development Costs: AI democratization demonstrated a lack of talent to implement the technology properly. Companies should invest a lot to involve a team of experts in AI-based app development. 
• Regulatory and Ethical Issues: For now, AI app development and operation aren’t covered by legislation, and we still have a lot of gaps in terms of data protection and accuracy, which makes AI-fueled application creation pretty risky from the compliance perspective.  

Summary

Healthcare app development with AI has made another revolution in healthcare IT. On one hand, it’s a win-win for businesses and patients, allowing them to digitize healthcare processes from A to Z. The technology offers numerous pros, such as enhanced diagnostic accuracy and improved patient engagement. However, when developing an innovative AI-based solution, companies should keep privacy concerns and data accuracy on the radar. 

If you have the idea of an efficient AI-based healthcare application in mind, involve the Innovation Feel team to develop a robust solution at a fraction of the cost and time.