HealthTech
Build scalable, user-friendly applications that seamlessly integrate with any third-party system, such as an EMR, LIS, or RCM, to drive revenue growth.
Build scalable, user-friendly applications that seamlessly integrate with any third-party system, such as an EMR, LIS, or RCM, to drive revenue growth.
Invene built data pipelines that bring together payer rules, billing codes, and system inputs to produce consistent, reliable cost estimates across inpatient workflows.
Invene built a whole new version of Vigilant’s product, utilizing 1) local Bluetooth on a customized mobile app, 2) new firmware, and 3) a web-based application to allow updating without using ethernet or WiFi.
Invene built a cross-platform AI clinical assistant to automate workflows in both inpatient and outpatient settings.
Invene fully automated reports connected to Emergicon’s billing software, on top of creating new client-facing monthly artifacts that reduced churn and increased upsells.
Invene built a mobile responsive patient portal connected to MyLabsDirect LIS that allowed patients to interact with their health results.
Invene built a full suite of software tools (internal reporting, web-based, and healthcare provider-facing mobile app) to fully automate the logistic challenges of delivering specialized services.
Invene crafted the cross-device experience that won CES recognition and later evolved into Honeywell Home by Resideo.
Invene unified IA and UX across pregnancy and parenting apps used by 400M parents worldwide.
Invene designed the SHUTi CBT-I app that improved sleep in trials and was later acquired and rebranded as Somryst.
Invene created a mobile program with coaching and feedback so caregivers can master proven techniques without a clinic visit.
Invene supported RX and consumer launches, added long-acting insulin support, and integrated with Samsung Health to reach massive scale.
Invene improved existing pricing algorithms with machine learning and built many ETL jobs to automate medical procedure estimation.
Invene developed an automation process to quickly generate RPA workflows for hundreds of payers.
Invene provided patient access and EDI experience to maintain large inpatient systems on legacy software resulting in zero churn
Invene implemented a Natural Language Processing powered system that transcribes provider-patient conversations, generates structured AI summaries, and seamlessly integrates them into the EMR for billing and clinical workflow efficiency.
Invene leveraged advanced LLM optimization techniques, including Model Ensembling with Self-MoA, fine-tuning of classification models, and multiple prompt engineering techniques, to enhance decision support and automate workflow processes in a clinical setting.
Invene updated Midato’s AWS cloud infrastructure and IaC for the client's application to be SOC II compliant and adhere to Washington State regulations for their roll-out.
Invene created a HIPAA compliant prototype of a web product to be used by Medicaid filing case workers to assist their clients in the process of applying for Medicaid.
Invene designed a seamless authentication modernization solution that introduced adaptive multi-factor authentication, which improved security while maintaining compatibility with existing infrastructure.
Invene built automation systems for large inpatient systems to transition legacy software that saved over 20K of manual hours.
Invene built an automated order processing system, which deployed at thousands of facilities, ensuring all incoming orders were processed in under 60 seconds, regardless of volume.
Invene developed a single platform that can handle the intricacies needed for each step of patient care, providing an integrated solution that scales with demand, the message processing to facilitate data flow, and a centralized database with metadata for handling data-flow decisions that can be utilized across multiple providers.
Invene standardized patient life-cycle data across providers and payers to reveal bottlenecks and enhanced analytics to provide more informed decision-making by increasing transparency of a large, centralized data pool, containing all aspects of the patient life-cycle from multiple providers.
Tackling the Hardest Software & Product Problems in Healthcare
