Advancing Patient-Centered Healthcare by Leveraging AI in Healthcare App Development

Are you looking to advance your patient-care service to the next level?  If yes, then you should start thinking of adopting AI-powered healthcare apps now.

AI in healthcare is an emerging trend in the industry. This innovative technology is empowering every industry vertical to upgrade their existing system to solve major problems and achieve better outcomes.

Today, when patient-centered care is becoming a core need of any healthcare service. Using AI in healthcare app development can help you provide high-value and patient-centered care more efficiently and effectively.

Whether you are a clinic, hospital, private doctor, medical institution, or a healthcare startup, if you envision scaling up your healthcare standards that meet the future needs of the healthcare sector, then it is the time to embrace AI in healthcare apps.

Why?

In this blog, we will discuss the growing importance of patient-centered care and how AI can help you leverage this emerging need successfully.

What Is Meant By Patient-Centered Care?

Patient-centered care is a philosophy in healthcare that emphasizes the importance of respecting and responding to the individual needs, preferences, and values of each patient.  In this approach, the patient is seen as a partner in their healthcare journey,  actively involved in decision-making alongside healthcare providers.

Why Is There A Need For Patient-Centered Healthcare?

Patient care primarily focuses on the specific and individual needs and preferences of every patient. Its goal is to provide more personal and tailored healthcare services that align with every patient’s values, needs, and expectations. However, the current healthcare sector lacks patient-centered care.

At present, doctors and healthcare providers are mostly involved in administrative tasks rather than prioritizing patients at the core. The traditional healthcare or medical system also keeps service providers in the main streamline. Patient’s needs are often overlooked. As a result, healthcare providers, clinics, and medical institutions often fail to offer satisfactory patient care.

According to the latest research from the National Library of Medicine of the USA, the quality of patient-centered care is becoming a great challenge for the global healthcare industry. This study reveals the growing importance of incorporating patient-centered care at the core of the healthcare delivery system. And there are various reasons behind this:

Limited Time for Patients

Today’s doctors are often overworked and see a high volume of patients each day. This, as a result, leads to rushed appointments where there’s insufficient time to fully understand a patient’s needs, preferences, and values. This impersonal approach makes it difficult to tailor treatment plans and ensure patients feel heard. Due to this, the market has witnessed significant growth in doctor on-demand services.

(Source: World Health Organization)

Fragmented Healthcare Systems

Many healthcare systems lack a central point of coordination, with patients seeing different specialists across various facilities. Such a fragmented approach makes it challenging to get a holistic view of a patient’s health.  Without this complete picture,  it’s difficult to provide truly patient-centered care that addresses all aspects of well-being.

High Operational Cost

Running a healthcare facility is expensive, with costs for equipment, medication, and staff salaries.  The current healthcare system has high operational costs. It prefers to incentivize shorter appointments and quicker patient throughput,  which contradicts the time-intensive nature of patient-centered care. So, there is a high need for striking a balance between efficiency and patient-centeredness.

Traditional Doctor-Centric Model

Historically, the doctor has been the sole decision-maker in healthcare. The doctor-biased model leaves little room for patient input and shared decision-making. When it comes to shifting towards a patient-centered model it requires a change in mindset from both doctors and patients, which is often neglected.

Lack of Technology Adoption

Many healthcare facilities still rely on paper records and fragmented IT systems. It not only makes it difficult to share patient information effectively but also hinders collaboration and patient involvement in their care.  Top mobile app development company in USA suggests various healthcare providers still fall behind in implementing and using the latest healthcare technology that empowers patients to be active participants in their healthcare journey.

Read Also: How is Wearable Technology Shaping the Future of Healthcare Industry?

Role of AI in healthcare app development

As you have seen why patient-centered care is becoming today’s important concern for the healthcare sector. So the question arises: what is the solution? The answer is using artificial intelligence technology in healthcare apps.

Artificial intelligence empowers healthcare applications with high-end capabilities. AI-powered healthcare apps help healthcare organizations and clinical institutions provide more patient-centered healthcare services. This is because AI in healthcare works in various roles that include-

Personalized Treatment Plans

AI-powered healthcare apps can generate personalized treatment plans based on individual patient data, including genetic information, medical history, and lifestyle factors. These apps tailor treatment recommendations to specific patient needs. Consequently, it improves treatment efficacy and patient outcomes.

Healthcare Data Management and Analysis

Artificial intelligence technologies enable healthcare apps to manage and analyze large volumes of healthcare data efficiently. By deploying Natural Language Processing (NLP) and machine learning algorithms in telemedicine and mental healthcare app development, it can extract valuable insights from electronic health records (EHRs), medical imaging, and genomic data. Hence, it can aid in clinical decision-making and research.

Chatbots and Virtual Health Assistants

AI-driven chatbots and virtual health assistants within healthcare apps provide personalized support and information to patients. The AI-powered virtual agents can answer healthcare-related questions, schedule appointments, provide medication reminders, and offer guidance on healthy living. So, it helps in enhancing patient engagement and access to care.

Drug Discovery and Development

AI in healthcare plays a crucial role in accelerating drug discovery and development processes through healthcare apps. Top AI development company employ Machine learning algorithms in healthcare apps to analyze molecular structures, predict drug interactions, and identify potential drug candidates. This helps in reducing the time and cost associated with bringing new drugs to market.

Decision Support Systems

Artificial intelligence technology empowers healthcare providers to make well-informed decisions. It allows healthcare app developers to embed data-driven decision support systems in healthcare apps to provide evidence-based recommendations to healthcare providers during clinical decision-making.

These systems synthesize vast amounts of medical literature, guidelines, and patient data to assist clinicians. Thus, it contributes to making informed decisions, reducing errors, and improving patient safety.

Predictive Analytics and Risk Stratification

Using AI in healthcare apps also allows healthcare professionals to analyze patient data and predict disease progression, identify at-risk populations, and stratify patients based on their likelihood of developing certain conditions. This information enables proactive interventions and personalized preventive care strategies, which ultimately improve population health outcomes.

Administrative Automation

Administrative burden in healthcare is one of the major problems in the entire healthcare sector. According to reports, the administrative costs in the US healthcare system account for 15-30% of the entire spending. This is due to most healthcare systems following traditional methods that involve manual efforts and heavy paper-based work.

(Source)

So, here AI can automate repetitive tasks like appointment scheduling, claims processing, and data entry. This frees up healthcare staff to focus on patient care and reduces administrative burdens.

How AI in Healthcare Apps Helps in Delivering Patient Centered Healthcare?

 

Patient-centered healthcare is essential for promoting better health outcomes. It emphasizes the importance of treating each patient as an individual with unique needs, preferences, and values. Being a healthcare startup or healthcare provider if you envision offering a more compassionate, effective, and equitable healthcare system, then adopting AI in healthcare app development services can help you make this vision successful. Here is how using AI in healthcare empowers you to deliver patient-centered healthcare.

Enhanced Access to Care

Healthcare apps equipped with AI-driven telemedicine and remote monitoring capabilities. They enable patients to access healthcare services conveniently from their homes or remote locations. As a result, this improved accessibility eliminates barriers such as geographical distance, transportation issues, and long wait times. It ensures that patients receive timely care when and where they need it. Thus, enhancing patient-centeredness.

Early Detection and Intervention

AI algorithms analyze patient data to detect subtle changes in health status. It helps you identify potential health risks, and predict adverse events before they occur. By leveraging predictive analytics and machine learning techniques, healthcare apps can alert patients and healthcare providers to early warning signs. It can facilitate proactive interventions and preventive measures to mitigate risks and improve health outcomes.

Efficient Clinical Decision-Making

AI-driven clinical decision support systems assist healthcare providers in making informed and evidence-based decisions at the point of care. By analyzing patient data, medical literature, and best practices, AI-powered apps can offer recommendations on diagnostic tests, treatment options, and medication dosages. Thus, it can assist healthcare providers deliver personalized and effective care while also minimizing errors and variability in medical practice.

Improved Health Outcomes

Patient-centered care focuses on the individual’s unique needs, preferences, and values. When you integrate AI in healthcare mobile app development it empowers the apps with intelligent decision-making processes.

Your healthcare apps can offer tailored or personalized treatment plans to their specific circumstances. Hence, using artificial intelligence in healthcare applications can enable healthcare providers not only to enhance treatment adherence but also improve health outcomes.

Using artificial intelligence in diagnosis could decrease treatment costs by up to 50% and enhance health outcomes by 40% – Source: Harvard’s School of Public Health.

Optimized Resource Allocation

AI-powered healthcare apps optimize resource utilization by streamlining administrative tasks and automating routine processes. It prioritizes patient needs based on clinical urgency and severity.

Using AI algorithms, healthcare apps reduce inefficiencies and redundancies in care delivery. This allows healthcare organizations to allocate resources more effectively, improve operational efficiency, and enhance the overall quality of care for patients.

Enhanced Patient Satisfaction

Patients who feel listened to, respected, and involved in their care are more likely to be satisfied with their healthcare experiences. Today, there is a high need for Patient-centered care that emphasizes communication, empathy, and partnership between patients and healthcare providers. For this, AI in healthcare supports healthcare providers to achieve higher levels of satisfaction.

Increased Patient Engagement

When patients are active participants in their healthcare journey, they are more likely to engage in healthy behaviors. If your healthcare mobile apps engage patients intuitively then it can encourage patients to adhere to treatment plans and take ownership of their health. This patient-centered care fosters collaboration between patients and providers. And thus empowers individuals to make informed decisions about their health.

Better Communication and Trust

Patient-centered care promotes openness and honest communication between patients and healthcare providers. Establishing trust and transparent communication is essential for effective healthcare delivery.

Here, leveraging AI in healthcare app development helps you build a better patient-centric support system. With AI-powered healthcare apps, you can easily encourage patients to share important information about their health concerns, lifestyle factors, and treatment preferences.

Real-life examples of AI in Healthcare App Development

The role of AI in healthcare app development is increasing significantly as the demand for patient-centered care is becoming a top priority. There are many real-life examples and healthcare app ideas in the market that have implemented AI in healthcare app development and achieved impressive outcomes. Here are those examples that could inspire you to leverage AI for delivering better patient-centered care.

Ada Health

Ada is a popular AI-based healthcare app. It helps users assess their symptoms and receive personalized health recommendations.  The app has been praised for its accuracy and user-friendly interface, thus making it a valuable tool for self-assessment and triage.

Suki

Suki is an AI-powered voice-enabled digital assistant. This healthcare app is designed to streamline clinical documentation and administrative tasks for healthcare providers. By reducing documentation burdens and improving efficiency, Suki enables clinicians to focus more on patient care and less on paperwork.

AiCure

This is an AI-powered healthcare application. It leverages computer vision and AI to monitor patients’ medication adherence through their smartphone cameras. AiCure detects if a patient takes their medication as prescribed and alerts healthcare teams if there are missed doses. This empowers patients to manage their medications effectively and helps researchers gather more accurate data in clinical trials.

Tempus

Tempus is also an AI-driven healthcare application which is focused on advancing precision medicine and cancer care. It leverages machine learning algorithms to analyze large-scale datasets and extract actionable insights. Tempus empowers clinicians to deliver more effective and personalized care to cancer patients.

Wrapping Up

To conclude, patient-centered healthcare is the need of the hour. The healthcare sector looks for effective and powerful solutions that help it deliver more patient-focused care. Here, AI-powered healthcare apps stand out as the best solution for those who want to enhance their healthcare services through patient-centered care. However, AI is an advanced technology, so leveraging AI in healthcare applications requires proven expertise. Therefore, it is advisable to find a reliable healthcare app development company that can assist you build AI-powered patient-centered apps.