VitalWare

Medical Code Reviewer

Product Background

The app provides access to current medical coding information, making the once laborious code review process intuitive and faster. The app is accessible for any hospital personnel who need access to coding, billing, and regulatory information.

Challenge

The product’s front end was built on an early version of Ext JS and needed significant rework. The client had a contract with Sencha and was satisfied with the framework performance and various enterprise tools it provided. Afterward, they decided to stick to Ext JS and upgrade Ext JS 4 to Ext JS 7. In short, the main problem turned out to be a global lack of available developers with solid experience using Ext JS.

Solution

At Glorium, we ally with the best developers offering our clients a diverse range of skills and technologies. As our services adhere to enterprise needs, our in-house devs team is trained in Ext JS to fill in the gaps. This is what allowed us to pick out four employees to extend the client’s team. The newly formed squad included a database developer, two Ext JS developers, and a manual QA.

Results

Our dedicated Ext JS crew rewrote the app following two years of close cooperation with the client’s team. Such changes led to:

  • better app performance
  • revamped UX/UI
  • app resilience and adaptability for enterprise workflow
  • support of up-to-date technologies

The client was more than satisfied with our team’s efficiency and value for money that they couldn’t find onshore.

TECH STACK:

  • FRONT-END:
    Sencha Ext.JS 7.x
  • BACK-END:
    .Net
  • DB:
    MS SQL

Medlab

Social network app for healthcare

Product Background

Our client’s team is composed of mathematicians, linguists, and data scientists researching and prototyping artificial intelligence tools. After developing several products, they noticed a demand for a secure platform that allows healthcare experts to interact with one another, to manage their resumes and certificates, and to vote and take surveys.

Challenge

By analyzing and following the market, we came up with a way to extend the social network for the healthcare community. What was originally meant to be a compliant, AI-enabled, cross-platform, multifunctional-tool that recognizes medical numbers and images, became a kind of “Google for medicine” — providing the latest industry news and medical tools.

Solution

In order to design an app that is to be a meeting point for the medical community, we based the architecture around the following four key-activities: visualization, exploring, learning, and sharing knowledge.

Our task included developing and working on:

  • E2E message encryption
  • A modern messaging system complete with attachments, emojis, and badges
  • Chat rooms with access control
  • A semantic search engine
  • Built-in medical calculators and 3D anatomy viewer
  • Private spaces for corporate partners
  • News access based on Big Data processing pipeline and AI recommendations
  • Dashboards for organizations
  • An analysis tool for decision-making
  • GDPR and ISO 27001 compliance.

Results

We’re proud to be part of a revolutionary team that has developed a comprehensive global social network for healthcare specialists on multiple levels. Our main-area of contribution mostly involved the messenger functionality with continuous outstaffing collaboration with other features.

By taking advantage of the secure atmosphere that our app provides, users can safely publish, collaborate, and analyze medical cases. Big Data processing grants doctors access to enormous databases of medical information — something students can also access to improve their studies.

It doesn’t stop there: any organization in the medical industry can use this technology to optimize their management. The network is continually growing, attracting users from all over the world.

TECH STACK:

  • FRONT-END
    .Net MVC

    React-Native
  •  
  • CLOUD:
    MS Azure

  • BACK-END
    .Net Framework
    .Net Core
  •  
  • QA AUTOMATION:
    Selenium Web Driver

  • DB:
    MS SQL

Dextro

Data-scraping tool for interpreting physicians and healthcare professionals

Product Background

Workload automation for day-to-day routine activities for interpreting physicians is difficult without the assistance of Robotic Process Automation (RPA). Such software decreases the need for manual re-input of the same data across different applications, thus increasing speed and productivity for reading the studies.

To fill in the gaps, our client commissioned us to build and integrate a data-scrapping solution to help radiologists acquire total visibility across different PACS systems. As a result, specialists receive one unified worklist with proper task prioritization retrieved from different exam providers.

Challenge

Our main task was to develop a mechanism that minimizes the time doctors spend on repetitive tasks. For example, searching through different PACS systems/worklists to find a required study or manually organizing studies existing in different applications to comply with overall priority across them. For that purpose, we had to enhance the current doctor’s workflow with RPA which emulates human actions by interacting with the digital systems and scrapping the data. Eventually, we created robots that were ready to merge different data and push that into a unified worklist.

Solution

We created a set of robots to leverage the existing infrastructure without disrupting the related systems. In short, it uses the interface to capture and manipulate data just like humans do; however, instead of taking breaks to eat and sleep, it works around the clock, 24/7.

Robots can:

  • log into accounts with given credentials
  • find required studies
  • extract content from required worklists
  • refresh deliverables after each session
  • control data amendments in a sourcing system
  • operate fully in the background

Results

Our team has built data-scraping robots, suitable for multiple systems, that can automate repetitive and routine tasks. This software was developed from scratch and seamlessly integrated into radiologist-related workflows.

Finally, with the help of Dextro, doctors are free from spending countless hours and resources interpreting worklists thanks to this accurate and efficient automation technology.

TECH STACK:

  • FRONT-END:
    .Net Core

  • BACK-END:
    .Net Core
    WinAppDriver Selenium Web Driver
    DB:
    MS SQL

  • CLOUD:
    AWS

Liberkeys

B2C App for Buying and Selling Homes 

Product Background

An all-in-one PropTech solution that embraces residential real estate offers all over France. The startup offers a wide range of services usually provided by agencies, including estimation, completion of visits, photography, monitoring, and support until the authentic act.

Challenge

By developing a one-window-solution, our client aims to reinvent the concept of real estate sales in France’s apartment market. In order to succeed, the app needed a lively, user-friendly interface, offering high performance, responsiveness, and advanced support. As such, our client wanted us to build the front-end from the ground up and refresh the back- end.

Solution

Our product tweaks included:

  • A mapping system;
  • Detailed search and filter criteria;
  • Investments modeling;
  • Third-party integrations.

Results

  • Increased app performance;
  • Conducted user-journey research and designed a new custom web interface;
  • Combined new UI with the existing back-end and overall product architecture;
  • Real-time market updates and listings.

TECH STACK:

  • FRONT-END:
    Vue.js
  •  

Speechagain

Stuttering treatment app

Product Background

This cloud-based app uses a patented training program to accelerate stuttering therapy outcomes. By utilizing AI and speech recognition analysis, based on the highest standards, it provides a multitude of speech-training exercises and supplies the user with advanced real-time feedback.

Challenge

As the team behind the product did not have enough development resources to handle the entire scope of the application, they asked Glorium to step in to provide some extra hands and help with implementing a UI, sound pattern recognition software, and analysis blocks.

Solution

The app provides users with the following:

  • a modern intuitive UI
  • lightweight visualization
  • speech and sound pattern recognition software
  • an analysis engine
  • AI recommendations based on past performance

Results

This app provides affordable, innovative training that allows the user to enhance their speech control and performance from anywhere, anytime. By analyzing and highlighting performance data, it details the user’s progress, keeping them motivated by providing individualized feedback. The user-friendly interface makes it easy for users to progress, lesson by lesson, observing the results, and feedback.

TECH STACK:

  • JAVA
  •  

  • StripeJS
  •  

ITR Software

Patient Flow and Bed Management Solution

Product Background

The performance of many hospital departments depends on the way beds are managed across wards. Our client has developed a web app that allows a department to easily handle, manage and reorganize bed requests. The system increases usage efficiency of beds and minimizes any potential issues between patients who share the same hospital room. 

Challenge

In order to deliver better care and empower visually-impaired staff with automated hospital bed allocation, our client decided to overhaul and rewrite the app’s entire front-end. 

As the existing front was outdated and not user-friendly, our mission included:

  • Creating a brand new UX/UI design;
  • Updating user-effectiveness & job satisfaction;
  • Adjusting the operational efficiency;
  • Enhancing the patient journey;
  • Enhancing the accessibility design (contrast mode, font size, light & dark color scheme).

Solution

In order to gain a competitive edge regarding bed management software, our team completed: 

  • An investigation of national regulations about bed assignment;
  • Detailed business analysis;
  • New responsive design with an intuitive interface; 
  • Mock-ups with user-flow & multiple screens; 
  • Customizable user dashboards; 
  • Calendar for scheduling requests;
  • Advanced search engine for filtering & sharing personal lists.

The software covers all necessary information about beds: whether they are dirty or clean; which rooms they are placed in; and patient-related information, such as address, relatives, insurance, etc.

Results

The new intuitive interface guides the user all the way from the patient’s admission to a hospital, until final discharge. These changes boosted staff efficiency by saving time and allowing management to meet hospital performance targets.

With a graphical representation of wards and a list of the beds, it becomes easy for the bed management staff to carry out the allocation process. Information is updated in real-time, allowing a team to omit the manual counting process and improve turnover rates. Disabled users also feel more comfortable with the accessibility design when enhancing patient coordination, contributing to the hospital’s sound operability. 

TECH STACK:

  • FRONT-END:
    Angular
  •  

Project Ipsilon

App for cognitive testing and training

Product Background

MCI (mild cognitive impairment) and signs of early dementia are hard to detect; however, studies show that playing the piano has the ability to highlight even the slightest cognitive abnormalities.

Playing the piano involves multiple sensory processing, comprehension, quasi-simultaneous decision-making, and action execution. In short, it is a sure-fire way to analyze and evaluate brain functions and train minds. In order to test and prevent cognitive disorders, our client (a musician) came up with the idea of building a piano emulator from scratch.

Challenge

In order to build a piano emulator app that could detect and calculate the probability of developing cognitive abnormalities associated with MCI and early-stage dementia, the emulator had to be:

  • Fast and accurate, with gamified cognitive checkups that fit the clinical workflow;
  • Suitable for assessing pre-clinical, early dementia and MCI;
  • Operable by a non-specialist.

Solution

The app was released with the following features:

  • Visuospatial and motor encoding;
  • Time-stamped finger responses;
  • Audio cues;
  • Integrated the tool for different PACS archives/VNAs compatibility;
  • An algorithm that collects user-response and analyzes data;
  • Integrations with EEG and eye-tracking;
  • Recording history;
  • Data export;
  • GDPR and HIPAA compliance.

Results

This app evaluates executive functions, such as inhibition control, attention, multisensory memories, and various brain-region activities. In this way, the software acts as a dementia prevention tool, contributing to remote care for cognitive monitoring. As for now, our client is looking for opportunities to collaborate with Philips as their headsets could enhance app performance and function.

This software is expected to launch as a medical device in the EU at any moment.

TECH STACK:

  • FRONT-END:
    Angular
  •  

  • BACK-END:
    .Net


  • CLOUD:
    AWS

PACS Harmony

Radiology Workflow Management Tool

Product Background

The product allows hospitals to automate the workload and distribution of studies for interpreting radiologists. To meet the SLA time frames, the app’s AI engine defines exam priorities, locates qualified doctors (based on their preferences), and assigns a specific exam to a particular expert. The software balances the workload so that all radiologists receive the correct amount of work they are committed to cover.

Challenge

The main difficulties in the previous version of the app, which became the source of customer disappointment, were poor operational performance combined with a confusing UI. Medium to large hospitals with a significant study turnover rate reported that slow app responsiveness and overall balancing inefficiency were affecting the number of medical exams reviewed. Following some fruitless attempts with other teams to redesign the software, the client finally turned to us to help improve the overall performance right away.

To improve impending faults and to preserve existing customers, we set out to:

  • Find and fix the reasons linked to the app’s slow performance;
  • If needed – change healthcare app architecture to raise performance;
  • Verify the studies distribution algorithm and implement the desired business-logic elements;
  • Significantly decrease the capacity of the infrastructure required to use the application;
  • Improve app UI to make it more responsive and user-friendly.

After putting out the fire, we directed the next flow to complex tasks.

  • To build an integration with the majority of existing dictation systems and image viewers;
  • To gain a competitive edge and remain independent from existing market leaders (Philips, Agfa, etc.);
  • To increase patient satisfaction and shorten the time of studies’ review and finalization.

Solution

After the execution of highly detailed performance tests, our developers reviewed all API calls and database requests and challenged every query’s adequacy.
As a result, we tightened data retrieval and increased the volume of acquired data every step of the way. A large portion of data was cached in order to speed up access to repeatedly queried but rarely changing medical data. Afterward, we implemented the composite pattern approach to enable complicated and nested filters to be compounded, allowing for the instant extraction of data.

We also:

  • Crafted UI / UX for both doctors and hospital admin requirements;
  • Completed integration with multiple image viewers/dictation systems;
  • Added a flexible and robust load balancing mechanism for real-time distribution;
  • Integrated the tool for different PACS archives/VNAs compatibility;
  • Created a mechanism for scheduling systems interoperability;
  • Created an internal audit mechanism to control data access (for HIPAA compliance);
  • Developed a reporting tool for physician performance tracking.

Results

After initial months of working around the clock, the AI engine’s performance and API back-end responsiveness has improved significantly. Presently, the initial infrastructure can efficiently support hospitals with up to 10 million studies per annum. Furthermore, the business-logic of studies distribution was challenged and fixed throughout. Together with UI updates, these achievements lowered the overall page responsiveness to less than one second. Our collaboration has lasted for over 2 years and continues successfully as of the time of writing of this case study, making it possible to polish the product with innovative and competitive features.

TECH STACK:

  • FRONT-END:
    ReactJS

  • BACK-END:
    .Net Core

    Net Framework
    RabbitMQ
  • DB:
    MS SQL

  • CLOUD:
    AWS

Commercial Appraisals App

The app that makes commercial appraisals from any device easier.

Product Background

Our goal was to build a secure all-in-one tool for completing commercial appraisals from anywhere.

Challenge

The app needed to serve as a tool for everyday professional use. That meant it had to provide a list of properties to visit, perform an assessment, map the locations, and create the shortest route. In addition to serving as a task manager, it needed to allow the creation of floor plans and attachments. As appraisers sometimes work at sites with poor cellular coverage, the product also needed to offer offline support.

Solution

We have vast experience in the Real Estate domain, so we understand what appraisers really need in their day-to-day work.

WE DEVELOPED THE APP WITH FEATURES SUCH AS:

  • Sophisticated workflow. Creating tasks for an inspector with further review and approval by a manager.
  • In-app messaging. Contacting a property manager to schedule a visit.
  • Directions. Defining the shortest route to visit all properties.
  • Measuring. Using a mobile device to measure the precise area on the site.
  • Evaluation support. Capturing and attaching images to documents.

Results

We created an app that stores detailed information of all CRE object parameters and serves as one point of knowledge. This universal instrument allows appraisers to complete inspections from desktop or mobile (tablet) and go paperless.

THE APP CAN ALSO:

  • Create jobs
  • Manage contacts
  • Organize sell and lease data

  • Exchange data with banks
  • Customize and synchronize valuation templates

TECH STACK:

  • FRONT-END
    .Net MVC

    React-Native
  •  
  • CLOUD:
    MS Azure

  • BACK-END
    .Net Framework
    .Net Core
  •  
  • QA AUTOMATION:
    Selenium Web Driver

  • DB:
    MS SQL

bison.box

bison.box. Full-scale ecosystem and data warehouse for property managers.
Identify risks and opportunities for making better investment decisions.

Client Background

Control.IT is the largest German provider of software that has been developing IT solutions for real estate and portfolio management since 1995. The company provides/maintains a database that helps property managers to identify risks and opportunities and make the right investment decisions. Control.IT products together manage more than 250 billion euros in the Real Estate field. Find more information on Control.IT.

Challenge

Control.IT pioneered with bison.box in 1995 and, with zero competition, introduced it to the market solidly. Still, it remains the company’s leading product.
Control.IT turned to us upon recommendation with a request for transforming its successful application into a SaaS solution. The main task was to re-architecture the infrastructure for more flexibility, shift it to the Cloud, and modernize UI/UX while keeping database structure changes to a minimum.

Solution

We’ve built complete infrastructure from scratch moving the database to the Azure cloud, which was chosen for its security and reliability. Some core application parts were set as NuGet packages.
Existing desktop features were modified and updated while front-end and API were created from scratch. Now the product has an intuitive and consistent interface and performs faster due to the cloud storage.

MAIN FEATURES MODIFIED:

  • Excel support
  • Fuel and Proda integrations
  • Reporting
  • Sharable smart lists.

Results

We’ve been developing the new SaaS since October 2018, and we are proud that nobody has quit in those 2 years.

SINCE THE BEGINNING WE:

  • Accessed SAAS market instead of RDP
  • Improved existing user experience with the latest practices
  • Implemented the cutting-edge technology stack
  • Increased the team from 0 to 30 in 1 year without loss
  • Passed certification and penetration test

The product is now released in alpha version, while its complete version is planned for October 2020. When the web application is released, Control.IT will redirect all customers to use the new version.

TECH STACK:

  • FRONT-END:
    Angular
  •  
  • CLOUD:
    Azure Infrastructure
  • BACK-END:
    .Net Core
  •  
  • QA AUTOMATION:
    Selenium with Java
  • DB:
    MS SQL