Simplify Clinical & Administrative Practices with AI-Driven Healthcare Solutions

Leverage the power of AI-driven healthcare software solutions to deliver better care faster with a holistic approach to transform your practice.

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Unlock the full potential of your healthcare software system with AI. From adding the factor of holistic care delivery, leverage your healthcare software system to deliver better care faster. Use AI-driven healthcare software for curating data-driven, personalized and actionable care plans.

Trust 125+ Clinics and 1465+ Providers Who Entrusted Thinkitive!

Thinkitive automates processes to save time and money

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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 Healthcare AI Software Development

We deliver secure and feature-rich AI-driven custom healthcare software solutions within your budget and set 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 deliver healthcare software 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 a Tailored Healthcare Software Cost Estimation?

Just answer some simple questions prepared by our consultants - it won’t take long.

Case studies

Transforming Success Stories of Healthcare AI Software Development

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?

Powering 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 developers
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

Specialty-Focused Medical Software Development

Software development in healthcare tailored to the unique needs of specialties

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Unlock Practice Potential with Specialty-Specific Healthcare Software

Check how our custom healthcare software assists and supports your specialty in action

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To Develop Custom Healthcare Software 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

Build Your Custom Healthcare Software Rapidly by Leveraging Pre-Built Components

Our pre-built components for medical billing, practice and patient management, etc., help to quickly address the unique needs.

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Integration

API-based Connectivity‍ through our Robust Integration

ePrescription & Labs Integration

We provide custom healthcare software development services with ePrescriptions and Labs integration to enable you to send orders directly from the healthcare system. These integrations offer multiple benefits, from reducing 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 custom healthcare software development to enable secure electronic e-prescribing and real-time access to patient medication history.

Billing & Payment

Safe, secure, and seamless healthcare transactions with our billing, payment, and point-of-sale integrations into your custom healthcare software solutions. 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, reduces denials, and optimizes revenue capture through automation and AI, improving financial efficiency for healthcare organizations with Waystar.

Communication

Facilitate real-time communication with patients via various mediums, all from your custom healthcare software solution. 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 web app 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.

Tired of Inefficient Healthcare Workflows?

Thinkitive automates processes to save time and money

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 Software Developers' Framework & Technology Expertise

Leverage the expertise of experienced healthcare software developers and healthcare software development teams in a wide range of technologies and frameworks.

Back-end Programming Languages

Microsoft dotnet logo java logo python logo nodejs logo php logo go logo

Front-end Programming Languages

Languages

nd logo html server logo JS logo

Javascript Frameworks


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

Mobile

ios logo android logo xamarin logo apache_cordova logo pwa logo react_native logo flutter logo ionic logo

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 SOFTWARE DEVELOPMENT 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 the healthcare software development.
  • 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
Healthcare Software?

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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 ?

The applications of AI in healthcare are majorly machine learning to analyze large datasets, making tasks like disease diagnosis, drug discovery, and personalized treatment easier. It identifies patterns in data and makes predictions based on its analysis, which enhances efficiency and accuracy in healthcare delivery. Long story short, it helps medical professionals make better-informed decisions faster.

Some of the benefits of AI that can revolutionize healthcare are:

  1. Improving Diagnostics: Analyzing medical images for faster, accurate disease detection.
  2. Personalizing Treatment: Tailoring therapies using patient data.
  3. Accelerating Drug Discovery: Speeding up research and development.
  4. Automating Tasks: Reducing administrative burdens, allowing clinicians to focus on patient care.
  5. Enhancing Preventative Care: Identifying at-risk patients, and enabling early intervention.

A diverse range of solutions powered by AI in healthcare can be used. For instance, diagnostic AI aids in disease detection, while therapeutic AI personalizes treatments and drug development. Predictive AI forecasts outbreaks and patient risks. Operational AI enhances efficiency in administrative tasks and patient flow. Key technologies include machine learning, deep learning, and natural language processing.

AI helps in making clinical decisions quicker by analyzing vast datasets to identify patterns, aiding in quicker, more accurate diagnoses. It provides personalized treatment recommendations, predicts patient outcomes, and streamlines workflows in the administrative half. AI also assists in interpreting medical images and identifying potential risks, ultimately improving patient care.

Yes, AI-driven predictive analytics significantly aids early disease detection. By analyzing vast datasets of medical records, imaging, and genetic information, AI algorithms can identify subtle patterns and risk factors that may indicate the onset of disease. This enables earlier interventions, improving patient outcomes and potentially saving lives.

AI is transforming healthcare through:

  1. Disease Diagnosis: Analyzing medical images for early detection of conditions like cancer.
  2. Drug Discover: Accelerating development by identifying potential drug candidates.
  3. Personalized Medicine: Tailoring treatments based on individual patient data.
  4. Medical Imaging Analysis: AI helps radiologists analyze medical images such as X-rays and MRIs.
  5. Administrative Tasks: Automating tasks like scheduling appointments and managing records.

Security and compliance for AI in healthcare emphasize patient data protection. Key measures include:

  1. HIPAA Compliance: Ensuring AI systems adhere to regulations regarding protected health information (PHI).
  2. Data Encryption and Anonymization: Safeguarding data through encryption and de-identification.
  3. Access Controls: Limiting access to sensitive data to authorized personnel.
  4. Algorithmic Fairness: Mitigating biases in AI algorithms to prevent discriminatory outcomes.
  5. Continuous Monitoring: Regularly auditing AI systems for security vulnerabilities and compliance.

AI integrates by analyzing existing healthcare data (EHRs, imaging) to provide insights. This involves:

  1. Data Integration: AI systems connect with existing databases via APIs.
  2. Analysis: Algorithms process data for pattern recognition and prediction.
  3. Workflow Integration: AI tools are embedded in clinical workflows, aiding diagnosis and treatment.

Essentially, AI enhances existing systems rather than replacing them.

AI significantly enhances medical imaging and diagnostics by:

  1. Improving Accuracy: AI algorithms analyze images, detecting subtle abnormalities often missed by human eyes.
  2. Increasing Efficiency: AI automates image analysis, accelerating diagnosis.
  3. Aiding in Early Detection: AI can identify early signs of diseases like cancer.
  4. Supporting Personalized Medicine: AI helps in creating tailored treatment plans.

AI accelerates drug discovery by analyzing vast datasets to identify potential drug targets and predict molecule interactions. It optimizes drug structures, predicts toxicity, and helps repurpose existing drugs. AI also streamlines clinical trials by analyzing patient data for personalized treatments, significantly reducing time and costs.

AI aids doctors by analyzing extensive patient data to detect patterns and propose diagnoses, enhancing accuracy. It also personalizes treatment plans and speeds up drug development. This leads to more precise and efficient healthcare delivery.

Implementing AI in healthcare faces hurdles like data privacy concerns, system interoperability issues, and potential algorithmic biases. Ethical considerations and navigating complex regulations also pose significant challenges. Additionally, the high costs associated with AI development and deployment can hinder widespread adoption.

AI enhances personalized medicine by analyzing vast patient data, including genetics and medical history, to:

  1. Tailor Treatments: AI identifies optimal therapies based on individual patient profiles.
  2. Improve Diagnoses: AI detects subtle patterns in medical images and records, aiding in early and accurate diagnoses.
  3. Predict Risks: AI forecasts disease susceptibility and treatment responses, enabling proactive care.

Ethical concerns in AI healthcare include:

  1. Bias: AI can amplify existing data biases, causing unequal care.
  2. Privacy: Protecting sensitive patient data is crucial.
  3. Transparency: "Black box" AI can hinder understanding and trust.
  4. Accountability: Defining responsibility for AI-driven errors is complex.
  5. Human Factors: Ensuring AI complements, not replaces, human care.

AI's healthcare future involves revolutionizing patient care through:

  1. Personalized Medicine: Tailored treatments based on individual data.
  2. Early Disease Detection: AI analyzing data for quicker diagnoses.
  3. Increased Efficiency: Streamlining administrative tasks and optimizing workflows.
  4. Improved Access: AI aiding in remote patient monitoring and care.
  5. Enhanced Diagnostics: AI helps to analyze scans and other medical data with greater accuracy.

This promises to greatly improve patient outcomes and healthcare accessibility.

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