Adroitent

July 2024

Helped Clinical Solutions Provider With a Medical Record Documentation Platform Using MS Dotnet

Medical Record Documentation Platform on .NET | Adroitent Home/ Customer Stories/ Software Engineering Customer Story · Software Engineering Less paperwork, more patients: 99% accurate records How Adroitent built a medical record documentation platform for a US clinical documentation provider — easing doctors’ dictation tasks by 99% and unifying patient records across facilities. Adroitent Case FileHealthcare.NET · EHR Integration3 min read The inflection pointDocumentation burden, fragmented records The customer offers clinical documentation and document-sharing solutions, providing clinical information and electronic health record templates to customers throughout the United States. A need for error-free medical record documentation for doctors and clinicians The existing system struggled to integrate comprehensive data from various healthcare facilities Fragmented patient records and increased administrative burden on doctors A robust solution was needed to streamline clinical documentation workflow and improve record quality Every hour on paperwork is an hour away from patients. The interventionA state-of-the-art documentation platform The customer partnered with Adroitent to build a state-of-the-art medical record documentation platform, helping doctors across outpatient clinics, hospitals and ambulatory surgery centers efficiently complete patient documentation. Architecture & design In-depth design and architecture producing a user-friendly interface Made it easy for doctors to adopt and use the system efficiently Dictation & editing Streamlined clinical documentation with dictation support Advanced backend and post-dictation editing features reduced errors Data integration Seamless data integration across healthcare facilities Unified, complete patient records replacing fragmented ones EMR adoption Improved physician satisfaction with accelerated EMR adoption Documentation workflow aligned to how clinicians actually work The game changer Dictation, edited and accurate Eased doctors’ dictation tasks by 99% Advanced backend and post-dictation editing improved record quality 99% accuracy achieved in medical record documentation Seamless integrations with EHRs in hospitals and outpatient clinics MS .NETEHR IntegrationDictationAmbulatory By the numbers 99% eased dictation 99% documentation accuracy Accelerated EMR adoption Improved patient care By the numbers 99% eased dictation 99% documentation accuracy Accelerated EMR adoption Improved patient care The payoffAccurate, unified, adopted Saved doctors’ time The platform significantly reduced the time doctors spent on paperwork, allowing them to focus more on patient care — easing dictation tasks by 99%. Improved documentation accuracy Advanced backend and post-dictation editing features reduced errors and improved the quality of patient records, ensuring high accuracy in documentation. Accelerated EMR adoption The platform helped improve physician satisfaction and accelerated adoption of electronic medical records. Improved coordination & patient care Unified, complete patient records with seamless data integration across healthcare facilities improved coordination and eased patient care. Easy adoption for doctors In-depth design and architecture produced a user-friendly interface, making it easy for doctors to adapt and use the system efficiently. The stack behind itTools & technology MS .NETEHR / EMR IntegrationClinical TemplatesDictation & EditingSQL This engagement was delivered as part of Adroitent’s Software Engineering Services practice. Good to knowFrequently asked questions What is clinical documentation? Clinical documentation is the record of a patient’s care — history, examination, diagnosis, treatment and outcomes. Accurate, complete documentation supports continuity of care, billing, compliance and clinical decision-making across the care team. What is the difference between an EMR and an EHR? An EMR is the digital chart within a single practice or organization. An EHR is designed to be shared across organizations, so a patient’s record follows them between providers — supporting better coordination and a fuller clinical picture. How does dictation software reduce clinician burnout? Dictation lets clinicians speak notes rather than type them, cutting time at the keyboard. Combined with post-dictation editing and templates, it reduces after-hours paperwork — a major contributor to burnout — and returns time to patient care. Why is healthcare data integration difficult? Data lives in many systems using different formats and standards, across facilities with distinct workflows and strict privacy rules. Integrating it requires standards like HL7 and FHIR, careful mapping, and secure exchange — otherwise records stay fragmented. What makes clinicians actually adopt a new system? Adoption follows usability: a system that saves time on the first day. Interfaces that reduce clicks, fit existing workflows, integrate with the EHR the clinician already uses, and require minimal training are the ones that stick. Give clinicians their time back. Healthcare platforms engineered around the clinical workflow. Start a conversation Explore Software Engineering Keep reading Related customer stories Software engineering Driving digital excellence for a North American automotive leader Read story Software engineering Powering AI-driven travel experiences with DevOps and AWS Read story Software engineering Modernization of healthcare applications in the US Read story More from Adroitent: all customer stories · insights & blog · adroitent.ai

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Helped a Financial Services Provider With Auto Refinancing Platform Using PHP

Software Engineering services helped a leading financial services provider with an effective Auto Refinancing Platform Key Business Outcomes 90% Improvement in Loan Workflows for FSRs Improved Loan Closures by 90% A Seamless Experience for both Lenders and Consumers About the Customer The customer is a leading financial services company that helps lenders reduce the cost of acquisition and quickly look and pick those consumers who would benefit from refinancing their current auto loans. Business Challenge The customer required a scalable auto refinancing solution to serve its financial service representatives (FSRs) to process and disburse auto refinancing loans quickly and efficiently. The customer also required efficient loan workflows by having seamless integrations with many Third-party APIs. Solution Delivered After a thorough analysis of the customer requirements, Adroitent’s core PHP teams were involved in developing an innovative auto refinancing solution specifically designed to optimize the loan workflow for the customer’s FSRs. Project Activities Requirements elicitation and documentation: Teams were involved in gathering the requirements and documenting them and built the system ground up. Business logic and mockup screens: Detailed business logic was built using PHP source code. Mockup screens were developed with proper screen navigations. Architecture and UI/UX design: Architecture, design, and development of the solution was done with plug-and-play options. API integrations implemented using microservices. UI/UX design and wire frames were also done. Integrations, build, and release: A configurable workflow-based solution was developed with effective build and release management. Teams integrated the customer’s existing platform with strategic 16 third-party APIs and streamlined the processing of auto refinancing loan workflows. This integration ensured a smooth and seamless experience for both lenders and consumers. Quality assurance and testing: QA teams performed end-to-end testing including functional, integration, regression, and performance testing to validate the solution’s performance and reliability. Maintenance and support: Subsequent maintenance and support services were provided post production deployment. Technology Stack The technologies used were PHP 5.x, Laravel, CSS, JQuery, HTML, and JavaScript, and MariaDB (MySQL). RabbitMQ was used for third party integrations. Web services used were SOAP and REST and tools leveraged were Jira and Bit Bucket. Key Features Developed Lender interface interactions and document management: The various features developed were lender interfaces, inbound marketing for vendors/service providers, lender aggregations, loan application processing, vehicle information, and valuations, and handling of various deals finalizations.Messaging queue implementation: RabbitMQ, a message-oriented middleware, was used for handling asynchronous integrations with third-party applications and message queue implementations.Third-Party API integrations: The mainstream system was seamlessly integrated with 16 third-party APIs, facilitating data exchange and seamless functionality across systems.Dynamic appending of data to PDF: The system was made to dynamically support the appending of data to PDF templates which was based on business rules. Business Outcome:Streamlined workflows and improved loan closures: With streamlined workflows, ensured quicker loan processing by 90% and loan closures also improved by 90% for FSRs.Improved data exchange: Third-party APIs integration enhanced overall efficiency and facilitated smooth data exchange and communication between systems.Reduced loan workflow gaps: As the solution had no integration gaps between the mainstream system and third-party APIs, it ensured uninterrupted loan workflow processes without gaps and ensured seamless functionalities. Connect with us

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