Boosting Efficiency by 40%: How AI-Powered Documentation Transformed a Multispecialty Clinic


Healthcare , EMR


Python ,Angular, TypeScript,REST ,SOAP,Web Services


The client, a prominent US-based healthcare provider, operates a large multispecialty clinic in New York, serving a significant daily influx of patients across various specialties. Despite covering a wide range of medical disciplines, they aspire to enhance their facilities to ensure top-tier patient care. However, they face challenges due to the lack of advancement in their current EHR system, resulting in providers spending excessive time on documentation without AI support and encountering issues with unsecured interoperability.

To address these challenges, the client seeks to develop an advanced EHR solution. Additionally, they aim to introduce virtual appointments by integrating telehealth with the new EHR. Choosing Thinkitive for their extensive expertise in healthcare technology, the client is poised to achieve their goals and elevate their clinic's capabilities.

Business challenges

    1. Outdated EHR (Lack of AI Support in EHR):

The current EHR system lacks advanced features like AI-powered note-taking, causing time constraints for providers and limiting their ability to deliver optimal care.

    2. Unsecured Interoperability:

Insecure data exchange with other healthcare institutions poses potential security risks and hinders seamless patient information sharing.

    3. Limited Reach:

Lack of virtual care capabilities restricts patient access to convenient and timely consultations.

workflow diagram of aesthetic emr software


Based on the collected client requirements, the team crafted a feature list defining the project's scope. Following refinements, the feature list was presented to the client and received approval.

In accordance with the approved feature list, our team began the development of a comprehensive EHR solution for the client. Below are the solutions we proposed to address their needs:

    1. Implementation of AI-powered Documentation Assistance:

Our team has developed and integrated AI-powered features into the new EHR system to assist healthcare providers in documentation tasks. Natural language processing (NLP) algorithms can automate note-taking processes, saving time and improving accuracy.

Speech Recognition: Implement speech recognition technology to transcribe spoken dictations into text format within the EHR system.

Natural Language Processing (NLP): Integrate NLP algorithms into the EHR system to analyze and understand unstructured clinical text, such as physician notes and patient narratives.

Machine Learning Models: Develop machine learning models to extract relevant information from clinical documents, such as diagnoses, treatments, and patient demographics.

    2. Enhanced Interoperability:

Build robust interoperability features into the new EHR solution, adhering to industry standards such as HL7 and FHIR. Implement secure data exchange protocols and encryption techniques to ensure the safe transfer of patient information between systems and healthcare entities. Additionally, establish data governance policies to maintain patient privacy and compliance with regulations.

-  HL7 and FHIR Compliance

-  Data Encryption

-  Data Standardization and Integration

-  Secure Data Transmission

    3. Telehealth Integration (Zoom):

To facilitate virtual consultations, the team seamlessly incorporated a Zoom API into the EHR system. Telemedicine features are now embedded directly within the EHR interface, ensuring a smooth and user-friendly experience for virtual appointments.

-  Allows audio and video links for telehealth

-  Accessible video calls

-  Efficient and secure calls

Why Thinkitive

-  Extensive experience in healthcare technology solutions.

-  Proven track record in developing and implementing advanced EHR systems.

-  Expertise in integrating telehealth solutions with EHR platforms.

Value Delivered

  • 40% reduction in note-taking time:

    AI-powered features like smart templates and speech-to-text will significantly reduce time spent documenting patient encounters.

  • 20% increase in patient appointments:

    Streamlined workflows free up provider time, allowing them to see more patients and reduce wait times.

  • Convenient virtual consultations:

    Offer flexibility and improve access to care, resulting in high patient satisfaction.

  • 100% compliance with HIPAA regulations:

    Robust security measures and encrypted data transmission ensure patient information remains protected.