Turn Patient Data into Real Results with the Power of Data Science Applications in Medicine

Unlock the full potential of your healthcare data and turn your clinical data analysis smarter with big data in medicine for better insights.

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Deliver better care by staying one step ahead with predictive analytics in healthcare. Using past and present patient data, you can easily spot warnings early, personalize care plans, and prevent future complications.

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Enable seamless predictive analytics in healthcare with smooth data exchange across various healthcare systems and providers by using universal standards like HL7 and FHIR.

Get a complete picture of a patient’s health for accurate predictions, analysis, and better healthcare data management by connecting various healthcare systems and devices under one centralized system.

Stay up-to-date on patient health while accessing patient information as it is generated and identifying critical conditions and health risks immediately, enabling timely interventions.

Simplify sharing and accessing healthcare data by providing a common FHIR framework and standard while accelerating your predictive analytics in healthcare.

Allow your healthcare systems to share data securely without the risk of data breaches and compromising the privacy of sensitive patient information.
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AI-Powered Medical Imaging & Diagnostics HIPAA Compliance Icon logo

Significantly enhance your patient data analytics accuracy and efficiency while easily personalizing patient care plans using AI in medical imaging analysis and diagnosis.

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Ensure seamless integration with your EHR for easy access to patient data, including medical images, lab results, and clinical notes, for accurate and quick analyses.

Allow your healthcare providers to access multiple platforms, including medical imaging tools, by using just a single set of credentials, simplifying the login and improving user experience.

Improve the usability of imaging tools with user interfaces that can be easily tailored to meet the specific needs of your healthcare providers.

Easily develop AI imaging apps with SMART on FHIR resources that seamlessly connect with various healthcare providers and systems for data exchange.

Define user permissions based on roles like radiologists, clinicians, admins, and more, ensuring the right people access the right tools and data.
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Improve your healthcare data management with advanced technologies to protect and manage sensitive patient information in a much smarter, faster, and secure way while staying compliant and in control.

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Stay protected from cyberattack risks and easily navigate through the legal landscape while avoiding costly penalties and building patient trust with HIPAA and GDPR compliance.

Keep your data secure, protect its privacy, and minimize data breach risk both in transit and at rest with robust end-to-end data encryption.

Track every login, modification, and patient data access in real-time for accountability in case of unauthorized access and data breaches.

Enable the use of patient data for research and analysis without compromising confidentiality by removing or hiding personally identifiable information from datasets.

Enable patients to stay in control of their health data by automatically requesting their consent each time their records are accessed, ensuring the process is easy, transparent, and secure.
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NLP & AI for Clinical Documentation HIPAA Compliance Icon logo

Speed up your clinical documentation and allow your healthcare providers to focus more on delivering patient care and less on taking notes and looking for insights, enhancing diagnosis accuracy, and improving analysis.

Process of clinical documentation and note-taking with the help of AI-driven healthcare solutions

Efficiently extract key information from unstructured clinical notes, identify patterns and trends, and get actionable insights with the help of AI systems.

Create personalized dashboards to visualize and track relevant patient information by sorting as per department, specialty, and priority, improving usability and accessibility.

Easily export large volumes of patient data in FHIR format for population health, analytics, or compliance needs while saving time in data retrieval and improving interoperability.

Use machine learning and statistical models on clinical data to anticipate complications, personalize care plans, and forecast disease progression and patient outcomes.

Automatically analyze and monitor clinical data against established quality standards and CMS guidelines to ensure quality care and compliance with healthcare guidance.
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AI-Driven Personalized Treatment Plans HIPAA Compliance Icon logo

Use patients' genetics, lifestyle factors, and biomarkers to develop personalized care plans to minimize adverse effects while offering patients the best care possible.

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Enable your healthcare providers to analyze patient genetic data effectively to identify genetic variations that can affect treatment responses and have adverse effects.

Effortlessly predict how a patient will react to certain medications based on clinical history, genomics, and lifestyle factors.

Utilize medical devices and wearables to track patients' vitals and symptoms continuously to adapt care plans to changes in patients' health.

Develop personalized care pathways to fit the patient's specific needs by analyzing their health data with the help of AI tools.

Leverage AI to analyze data from large populations and identify trends, health risks, and opportunities to improve public health.
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Cybersecurity & Compliance Solutions HIPAA Compliance Icon logo

Strengthen your security infrastructure and give your care teams the confidence to focus fully on patient care, while securing every point from patient records to real-time feeds, building trust, and ensuring seamless, compliant care delivery.

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Ensure the security of sensitive patient information at rest and in transmission, while meeting the regulatory requirements, and reducing the risk of costly breaches.

Secure access with layered authentication, such as biometric scans, to prevent unauthorized logins even if credentials are compromised.

Let AI monitor your systems continuously and in real-time to identify suspicious activity, unusual patterns, and potential data breaches before they escalate.

Simplify your compliance tracking with automation and let the AI tool track your adherence to HIPAA, HITECH, and more while reducing the admin workload.

Ensure your team can act fast during data breaches and cyberattacks with pre-defined protocols while minimizing downtime and restoring operations quickly.
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Want to Make Your Healthcare Data Work Harder, Smarter, and in Real Time?

Thinkitive can transform your healthcare practice into a data-driven one easily and effectively, helping you make better and informed decisions.

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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 & Cost-Effective Data Science Solutions to Transform Your Healthcare Practice

Harness the power of data science to drive smarter decisions, improve patient outcomes, and streamline operations—on time and within budget.

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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

Want a data-driven practice? Check out how quickly we can deliver it to you

1 Week

Medical software project starts within 1 week

2-4 Months

MVP release

Every 2-4 Weeks

New healthcare software versions

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Need An Estimation to Make Your Healthcare Practice Data Driven?

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

Explore Our Successful Implementations of Data Science Solutions

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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...

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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...

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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 Data Science Solutions that Suit Your Speciality and Needs

We provide data science services as per your needs and requirements of your healthcare practice and specialty.

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Let’s Explore How We Can Develop Data Science Solutions for Your Practice

Making your healthcare practice data-driven with excellent data science solutions is a Click Away!

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Data Science

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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 Data Science for your Healthcare Systems with Pre-Built Components

One-stop Data Science services for your practice for developing smarter healthcare systems.

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Integration

Make Your Practice Faster and Accurate with Robust Integrations

Integrate your healthcare systems with ePrescribing, labs, billing, and patient engagement systems.

ePrescription & Labs Integration

We provide healthcare digital transformation with ePrescriptions and Labs integration to enable you to send orders directly from your healthcare system. 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 ePrescription network that helps improve medication safety and convenience for patients, providers, pharmacies, and payers. Integrate Surescripts during patient engagement platform development to enable secure electronic ePrescription 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 for your healthcare digital transformation. 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

Facilitate real-time communication with healthcare digital transformation and stay connected with your patients at all times. 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 patient experience 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.

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Want to Make Your Healthcare Data Work Harder, Smarter, and in Real Time?

Thinkitive can transform your healthcare practice into a data-driven one easily and effectively, helping you make better and informed decisions.

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

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

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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.
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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 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

Frequently Asked Questions

Get answers to all your questions

Still have questions ?

Data science in healthcare uses vast patient data, such as medical images, patient records, and lifestyle factors, to identify patterns and insights for improving patient care. It helps healthcare providers predict diseases and personalize treatments, leading to better patient outcomes.

Data science is changing healthcare by enabling personalized medicine through genetic analysis, predicting diseases in early interventions, and enhancing diagnostic precision with AI-powered image analysis. Moreover, it also optimizes hospital operations and boosts drug discovery, making patient care a better and more efficient healthcare system.

There are multiple key applications of data science in healthcare. First, it helps in faster and more accurate diagnoses, and second, it creates personalized care plans based on individual patient data. The next application is predicting disease outbreaks and even accelerating drug discovery.

Predictive analytics allows healthcare providers to anticipate patient needs, like predicting which patients are at high risk of illness or hospital readmissions. It also enables proactive care, better resource allocation, and ultimately improved patient outcomes and reduces hospital costs.

Big data plays an important role in healthcare and acts as a doctor with access to millions of patient records. It also helps providers predict patient health risks and make hospitals run more efficiently, ultimately leading to better care for everyone.

Data science improves patient care by analyzing a vast amount of data to spot patterns in patient health. Later, the providers can get suggestions and recommendations based on these patterns to curate personalized treatments and optimize the medications based on patients' health.

When it comes to using data science in healthcare, there are many challenges, including patient data privacy and security, and integrating various incompatible data systems. There are also ethical considerations, such as algorithm bias, and hiring skilled professionals who understand both healthcare and data science is also a big hurdle.

AI acts as a powerful assistant to data science in healthcare by analyzing large datasets to find patterns and predict outcomes. This integration leads to earlier disease detection, personalized treatments, efficient hospital operations, and faster drug discovery, increasing operational efficiency and ultimately improving patient care and lowering costs.

There are several benefits of data-driven healthcare solutions, from helping providers make quicker and more precise clinical decisions to helping them create personalized care plans that fit every patient's unique needs. It can even predict possible health issues and disease outbreaks, improving hospital resource allocations.

Data science analyzes every patient's information, from genetics, lifestyle factors like daily habits, and patient medical history, and gives you a complete picture of the patient's health. This helps you optimize the medications and treatment for that specific patient and helps in improving personalized medicine.

Healthcare data analytics commonly employs tools for data integration (like Informatica), statistical analysis (such as SAS and R), and data visualization (like Tableau and Power BI) to derive meaningful insights from patient records, clinical trials, and operational data. These tools help improve patient care, optimize processes, and reduce costs.

Data management significantly impacts healthcare by enabling better clinical decisions through organized patient records and analytics. It streamlines workflows, reduces errors, and improves patient safety. Efficient data handling also supports personalized treatments, enhances research, and contributes to better public health outcomes.

Data science is set to transform healthcare by enabling personalized medicine through individual patient data analysis. It will improve early disease detection with predictive models, speed up drug discovery, and optimize healthcare operations. Additionally, it will enhance public health management through population-level data analysis, ultimately leading to a more proactive and patient-centric healthcare system.

Healthcare can use data science to predict patient risks, personalize treatments, optimize operations, and improve diagnostics. This involves analyzing patient records, imaging, and other data to gain valuable insights for better care and efficiency.

Using data science in healthcare brings ethical questions around patient privacy and data security. Bias in algorithms could lead to unfair treatment, and transparency about how these systems work is crucial for trust and responsible use.

Everything About Healthcare Software Development

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