Leverage Smart Healthcare Technologies and AI Healthcare Innovations to Enhance Your Healthcare Practice

Make your healthcare practice better with AI-powered health solutions and improve patient outcomes, care delivery, and provide excellent personalized care.

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Analyze a large amount of patient data and identify patterns and trends with machine learning and AI health analytics to aid in faster, more accurate, personalized diagnoses and treatment plans.

Want to Upgrade Your Healthcare Practice to an AI-Powered Healthcare Practice?

Thinkitive can upgrade your healthcare effectively with AI-powered health solutions and healthcare AI development.

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A doctor
healthcare provider
healthcare provider
A happy patient with her child having a conversation with the provider
A happy patient with her child having a conversation with the provider
two healthcare providers handshaking over successful care delivery
two healthcare providers handshaking over successful care delivery

Clients Testimonials

Join 150+ Happy Clients: See What They Have to Say

We've successfully collaborated with 150+ satisfied clients, and 95% of them have expressed their satisfaction with our medical software development company.

Cost & Timelines

Timely & Affordable AI-Powered Health Solutions for Your Healthcare Software

Future-ready your healthcare practice by equipping AI healthcare applications within your budget and defined timeframe.

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Complexity

Software complexity (its functionality scope)

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Type

Software type (e.g. web, mobile, desktop)

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No. of Users

The expected number of users

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Integrations

The required integrations as per regulations

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Compliance

Regulatory compliance requirements

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Security

Performance, security, usability and accessibility requirements

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Deployment

The chosen deployment model (e.g. on-premise, cloud)

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Sourcing

The sourcing model (in-house, outsourcing) & team composition

We can help you achieve healthcare AI development in the following timeframes

1 Week

Medical software project starts within 1 week

2-4 Months

MVP release

Every 2-4 Weeks

New healthcare software versions

Need An Estimation for Making Your Healthcare AI-driven with AI Medical Software?

Just answer a few questions prepared by our consultants, and we’ll get back to you ASAP. Trust me, it won’t take long.

Case studies

Look into the Successful Implementation of Artificial Intelligence in Medicine and Healthcare Practices

16 July, 2024

Developing a Comprehensive Wellness Fitness Platform and Application

Our client, in the U.S. fitness industry, aimed to create a website and app to digitally transform fitness services. The platform would enhance communication between trainers...

12 July, 2024

Optimising MRI Clinic Operations with Custom Healthcare System

Our client operates a direct-to-consumer MRI service, providing scanning, pre-scan consultations, and detailed result explanations. Frustrated by their generic EMR...

11 July, 2024

Revolutionizing IDD Healthcare with Centralized Data and Streamlined...

We propose a custom speciality specific system that eliminates data silos and streamlines workflows. This single platform will centralize all client information...

...

WHY THINKITIVE?

Empowering Healthcare Technology Innovation

250+

Healthcare Projects

400+

Healthcare Experts

98%

Client Retention Rate

150+

Healthcare Customers

50%

Cost Saving on Development

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Engagement models

Affordable & Flexible: Engagement Models for Every Need

Our flexible engagement models allow us to customize our services to meet your unique needs. Whether you're looking for a dedicated team, project-based work, or ongoing support, we have the right solution for you.

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I have a requirement and want
to pay a fixed price

Share your project requirements, and our team will conduct a discovery call to understand your needs in detail. We'll provide a clear project estimate and deliver high-quality work. Pay only upon project completion and your satisfaction, ensuring you're never overcharged.

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I want to hire a healthcare software developer
on an hourly basis

Hire dedicated developers with 160 hours of focused attention each month. Enjoy peace of mind with transparent billing, daily timesheets, and our unwavering commitment to your success. Benefit from the expert guidance of our complimentary Delivery Manager.

SAVE
EXTRA 20%

Specialties

Get AI Healthcare Applications and AI Medical Software that Suit Your Needs

We provide AI-powered health solution and healthcare AI development service as per your needs and requirements of your healthcare practice and specialty.

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Let’s Explore How We Can Develop AI-Powered Health Solutions for Your Practice

Making your healthcare practice AI-ready with excellent AI healthcare innovations is a Click Away!

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AI-driven healthcare solutions development

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Domain-specific Accelerators & Frameworks

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End to End Healthcare Digital Transformation

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Interoperable Data systems

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Assured Compliance & Security

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Proficiency in Healthcare Standards

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AI & Analytics Powered App Insights

Pre-Built Components

Achieve Seamless AI-Driven Healthcare Solutions Development for your Healthcare Systems with Pre-Built Components

One-stop AI-driven healthcare solutions development services for your practice for developing smarter healthcare systems.

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Integration

Make Your Practice Smarter, and Quicker with Robust Integrations

Integrate your AI medical software with ePrescribing, labs, billing, and patient engagement systems.

ePrescription & Labs Integration

We provide integration with ePrescriptions and Labs integration to enable you to send orders directly from your AI medical software. These integrations offer multiple benefits, from minimizing errors to improving clinical efficiency and reducing the overall cost of care for both patients and providers.

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Surescripts

Surescripts is the leading e-prescribing network that helps improve medication safety and convenience for patients, providers, pharmacies, and payers. Integrate Surescripts during AI medical software development to enable secure electronic e-prescribing and real-time access to patient medication history.

Billing & Payment

Make all your healthcare transactions safe and secure by integrating your AI medical software with billing, payments, and point-of-sale systems. Give your virtual care practice a comprehensive real-life healthcare ecosystem.

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Waystar

Waystar provides healthcare revenue cycle management solutions. Streamline claims processing, reduce denials, and optimize revenue capture through automation and AI, improving financial efficiency for healthcare organizations with Waystar.

Communication

Make your virtual care delivery better by integrating your AI medical software by integrating the communicaltion platforms. Give your virtual care practice a comprehensive real-life healthcare ecosystem.

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Sfax

Sfax is a secure faxing solution designed for healthcare. Integrating it during healthcare AI development enables secure exchange of patient information like faxes within the system, ensuring patient data privacy and compliance with HIPAA regulations. This streamlines communication and protects sensitive medical information.

Want to Upgrade Your Healthcare Practice to an AI-Powered Healthcare Practice?

Thinkitive can upgrade your healthcare effectively with AI-powered health solutions and healthcare AI development.

A doctor
A doctor
healthcare provider
healthcare provider
A happy patient with her child having a conversation with the provider
A happy patient with her child having a conversation with the provider
two healthcare providers handshaking over successful care delivery
two healthcare providers handshaking over successful care delivery

Framework & Technology Expertise

Our Healthcare Software Developer’s Framework & Technology Expertise

Our AI development team has broad experience in all AI technologies, frameworks, and expertise in multiple databases, real-time data processing, and cloud technologies.

Back-end Programming Languages

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Front-end Programming Languages

Languages

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Javascript Frameworks


angular logo react logo meteor logo vuejs logo nextjs logo ember logo

Mobile

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Cloud

AWS Amazon Cloud logo Google Cloud logo Microsoft Asure logo DigitalOcean logo rackspace logo

Databases/Data Storages

SQL

SQL Server logo Oracle logo Azure SQL Database logo MYSQL logo PostgreSQL logo

NOSQL


Cassandra logo Apache HBASE logo Azure SQL Database logo MongoDB logo Bee logo nifi logo

Platforms

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THINKITIVE’S HEALTHCARE DIGTIAL TRANSFORMATION PROCESS

Affordable Development Anytime, Anywhere

Our skilled healthcare software developers have expertise in understanding the unique clinical needs and requirements of the healthcare practice.

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Discovery
  • Domain Expert
    To understand clinical and end-user needs.
  • Business Requirements
    To make market-fit solutions.
  • Wireframes & Userflows
    To define software functions and functionalities.
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Development
  • Dynamic UI/UX
    Elevated experience for patients and providers.
  • Sprint Creations
    To plan healthcare digital transformation.
  • Coding & API Integration
    Software coding as per necessary compliances.
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Testing
  • Manual Testing
    For manually checking software functionalities.
  • Automation Testing
    Scripting for testing software functionalities.
  • Rigorous Testing
    End-to-end thorough testing of the software.
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Deployment
  • Secure & Compliant
    Ensuring the healthcare system infrastructure is secure and HIPAA compliant.
  • Integration
    Application Integration for deployment.
  • Maintenance & Support
    User feedback and audits for continuous improvement.

Need to Design, Develop, or Improve
Your Healthcare Software System?

A doctor
A doctor
healthcare provider
healthcare provider
A happy patient with her child having conversation with provider
A happy patient with her child having conversation with provider
two healthcare providers handshaking over successful care delivery
two healthcare providers handshaking over successful care delivery

Frequently Asked Questions

Get answers to all your questions

Still have questions ?

Healthcare solutions that leverage artificial intelligence to enhance various aspects of patient care and healthcare administration are AI-driven healthcare solutions. These AI-powered health solutions and AI health analytics help doctors diagnose illnesses more accurately and can create personalized care plans based on individual patient health information.

AI healthcare innovations are transforming healthcare by streamlining and automating the manual tasks that require human or manual interventions. It also helps providers make quick and more accurate patient health diagnoses. Moreover, nowadays, AI is also assisting in robotic surgeries, improving their accuracy and success rates, and improving patient experience with chatbots and virtual assistance.

AI in health tech that are being used include machine learning for better and more accurate patient analysis and natural language processing for analyzing medical text and voice. Now, computer vision is also being used for enhanced image analysis, along with robotic process automation for automating routine and administrative tasks. All these tools help in enhancing efficiency and improving patient care.

When it comes to artificial intelligence in medicine improving patient outcomes, it is done in several ways. The first is analyzing lots of patient data with machine learning, improving decision-making, and detecting health risks early. Second, AI helps create more personalized care plans based on each patient's needs, making them more effective. Finally, it also assists doctors with administrative tasks, freeing their time to spend on improving patient care. Ultimately, AI makes healthcare smarter, faster, and more tailored to each person, leading to better health outcomes.

Using AI in clinical settings brings several benefits while making care delivery more efficient and patient-centric. AI enhances medical image analyses, helps in early disease detection, and aids in providing timely interventions. Moreover, with AI health analytics, you can create personalized care plans for each patient and deliver more precise care to them. It also automates all the administrative tasks, reducing providers' workload and saving them time to focus more on delivering quality patient care.

Developing AI healthcare applications faces several challenges that can make the development process much harder. Ensuring patient data privacy and security is a big and complex hurdle. The next challenge is creating a bias-free AI solution, as the AI can get some biases from the data it is trained with, leading to unfair treatment or outcomes. Smooth integration of AI into your existing system is as hard as getting healthcare providers and patients to trust the AI-powered health solutions. Finally, navigating the evolving regulatory landscape adds another layer of difficulty.

AI significantly enhanced predictive analytics with machine learning that can analyze large datasets easily to identify patterns and predict future health outcomes. With AI medical software, providers can detect diseases early, personalize patient care plans, optimize resource allocation, and even accelerate drug discovery. AI also provides real-time and valuable insights for informed and proactive decision-making, leading to better patient care and operational efficiency.

The role AI plays in personalized medicine is that it is a smart assistant that helps analyze lots of patient data easily and accurately. It analyses individual patient data such as genetics, lifestyle factors, and medical history with smart healthcare technologies, and makes suggestions to providers for the development of care plans. This also helps doctors in predicting who is at high risk and choosing the right treatment for them.

AI in health tech can reduce healthcare costs in multiple ways; for instance, AI can handle all the paperwork and administrative tasks, freeing providers to focus on patient care and reducing errors simultaneously. It also detects diseases early, making it easy to treat with much simpler and cheaper treatments. Additionally, it can personalize care plans, helping in avoiding unnecessary lab tests and medications and making healthcare more efficient and affordable for everyone.

In healthcare AI development, the ethical considerations mainly revolve around keeping patient data private and secure. It is also crucial to address any biases the AI solution has to deliver fair and equal care to all patients. Moreover, transparency and accountability in AI decision-making are also important factors, along with obtaining informed consent for AI use in patient care.

AI-driven healthcare solutions integrate with EHRs with features such as automation of tasks like documentation and data entry. Also, they use AI health analytics to improve clinical decision-making with predictive analytics and personalized patient care plans. Furthermore, they streamline clinical workflows, identify potential health risks, and improve diagnostic accuracy. Ultimately, these integrations aim to make EHR more efficient and smart.

The regulatory hurdles that AI in health tech faces are ensuring data safety and privacy while adhering to compliance like HIPAA and HITECH. Moreover, achieving interoperability across healthcare systems and validating AI-powered solutions' safety and effectiveness are also significant challenges. Additionally, keeping the AI bias-free is also difficult, as controlling all the training data is next to impossible.

AI plays an important role in remote patient monitoring by analyzing the continuous stream of data from wearables and medical devices. It can detect subtle changes in patient vitals and immediately alert providers for timely interventions. These smart healthcare technologies also helps in developing personalized treatment plans with real-time insights and by analyzing the healthcare data more accurately and quickly.

Artificial intelligence in medicine is changing healthcare research and enhancing it by analyzing the vast amount of data quickly and effectively. It helps healthcare professionals and researchers identify new drug agents and combinations for new drugs and simulate their reactions to patients and each other, accelerating drug discovery.

The future of AI in healthcare solutions is heading towards providing more personalized and efficient care. It is focused on using AI health analytics that analyze patient data and tailor care plans for individual patients, along with early detection of diseases for timely care delivery. Additionally, robotics is going to be quite useful in doing more precise surgeries alongside predictive analytics with the help of AI and machine learning. The AI drug discovery process is also being accelerated, leading to healthier communities.

Everything About Healthcare Software Development

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