Case Studies

Invene achieved the tight deadline of 8 weeks to build Evry’s member-facing portal, saving over $5MM in revenue, which led to their eventual acquisition.

Invene designed the Patient Health Forecast and DS workbench that won CMS’s AI Health Outcomes Challenge and Best in KLAS.

Working closely with Community Health Options’ team, Invene improved accounts receivables processes that effect tens of thousands of their members.

Invene predicted health outcomes for low socioeconomic populations based on few-shot data.

Invene built an AI-driven platform and a full design system with coded components to deliver insights across web, native, and wearables.

Invene designed a whole new architecture and deployment process for a critical system with millions of claims transactions a day.

Invene transitioned their whole on-prem software application, including their reporting modules, to the cloud on Microsoft Azure.

Invene implemented an automated data extraction process that leveraged authenticated sessions and intelligent automation, ensuring seamless and reliable data aggregation for real-time insights.

Invene developed a quoting automation system that streamlined bid generation through intelligent workflows, reducing manual effort while optimizing cost structures and consolidating platform dependencies.

Invene architected a scalable Enterprise Data Warehouse, integrated fragmented data sources into a unified structure, using data fabric principles to streamline analytics and decision-making.

Invene built a cross-platform mobile application, on iOS and Android, to help children manage their chronic asthma condition along with web-based provider tools.

Invene diagnosed the outages, fixed core infrastructure failures, and completed end-to-end QA on the new site to ensure it could handle global D2C traffic without breaking under load.

Invene built a production system that reduces manual referral intake by automating document interpretation and order entry, while routing complex cases to staff for review.

Invene created a system that can process patient data and determine medical eligibility.

Invene delivered an offline-tolerant app that helps attendants track labor and make faster decisions in rural settings.

Invene created a mobile-responsive patient portal for 40+ urgent care facilities, providing deep integration with their EMR, and their 8 third-party vendors.

Invene created a fully customizable web application that took the clicks needed to generate a clinical note from 200 clicks down to 50 clicks, plus streamlined the charge capture and discharge note creation.

Invene synthesized multi-country generative research with mothers and midwives to reset product strategy around staged, trusted support.

Invene built Chrome and Selenium powered robotic process automation that fills out patient order forms in an EMR that did not have APIs.

Invene created a HIPAA compliant application that uses computer vision to distinguish between orders and other faxes to create transformed data values that represent each order.

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 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 cross-platform AI clinical assistant to automate workflows in both inpatient and outpatient settings.

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 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 designed the SHUTi CBT-I app that improved sleep in trials and was later acquired and rebranded as Somryst.

Invene built automation systems for large inpatient systems to transition legacy software that saved over 20K of manual hours.

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 a seamless authentication modernization solution that introduced adaptive multi-factor authentication, which improved security while maintaining compatibility with existing infrastructure.

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 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 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 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 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 provided patient access and EDI experience to maintain large inpatient systems on legacy software resulting in zero churn

Invene developed an automation process to quickly generate RPA workflows for hundreds of payers.

Invene improved existing pricing algorithms with machine learning and built many ETL jobs to automate medical procedure estimation.

Invene supported RX and consumer launches, added long-acting insulin support, and integrated with Samsung Health to reach massive scale.

Invene created a mobile program with coaching and feedback so caregivers can master proven techniques without a clinic visit.

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.

Invene designed the Enbrel companion that pairs with Bluetooth auto-injectors, guides usage, and shares adherence and symptom data with care teams.

Invene mapped oncology journeys and prototyped remote monitoring concepts to transform treatment outside the hospital.

Invene built a tool that analyzed the contents of a tincture and displayed a chromatogram of the fluid's properties.

Invene created a machine learning algorithm that identified motifs of interest for SAR target identification.

Invene invented an algorithm for analysis on polypeptide chains to determine small molecule binding affinity.

Invene turned a simple tracker into a caregiver tool with seizure video capture and rapid physician sharing to speed decision making.

Invene led the pharmacotherapy platform design for patients, administrators, and employers to track treatment impact in the real world.

Invene established a model to predict pharmacy inventory volume based on segmented population data.

Invene distributed over 300 of these adaptors to local doctors in the North Texas area.

Invene created a diagnostic tool that identifies candidates for the wireless implant used in remote hemodynamic monitoring.

Invene led UX toward the first FDA-cleared Class II autism diagnostic, enabling earlier, more accurate identification.

Invene designed neonatal VSM experiences and completed international summative testing to move toward broader deployment.

Invene built the clinical UI that supports a 4-hour bacterial ID workflow and earned FDA Breakthrough Device designation.

Invene designed tested capture and annotation flows so clinicians can flag issues early and intervene sooner.

Invene created technology to determine eyeglass prescriptions by applying spectroscopy knowledge to perform waveform analysis using commodity hardware.

For an FDA-approved, low-powered device, Invene built firmware for occluded facial detection using computer vision.