Data Strategy, Web Application, and Recommendation Engine

Fortune 1000 Healthcare Company

Data Strategy, Web Application, and Recommendation Engine

Challenge

Hospital administrators and staff are under intense pressure to optimize performance within facilities while delivering best-in-class care to patients. This highly regulated industry has an abundance of data, but it’s often collected and managed in disparate systems by people with ranging levels of proficiency.

One opportunity to improve hospital efficiency is to optimize the scheduling of operating rooms, surgical procedures, and services.

We were approached by an advanced SaaS-based healthcare data analytics company that needed to use existing data feeds to improve the scheduling of operations for a hospital that used its systems. Because of the sensitive nature of EHR data, security was a priority.

business process management
business partners shake hands at the talks near the round table .the concept of partnership

Solution

Valence delivered a web application including a scheduling recommendation engine. On the back-end, the web application relied on a Paas-based solution that analyzed trends using artificial intelligence.

First, we transformed and normalized the hospital’s robust pipeline of raw and structured EHR data. Using that data, we developed a recommendation engine that prompts hospital staff to take actions based on key data indicators.

Then we designed and developed a custom web-app to present and manipulate data, including the scheduling recommendations.

recommendation engine

Results

The solution provided hospital staff with a decision support tool capable of improving room scheduling and revealed trends and opportunities for efficiency over time. These improvements resulted in improved patient care and hospital efficiency.

Artificial Intelligence and Computer Vision

Leading Orthodontics Startup

Artificial Intelligence and Computer Vision

The intersection of healthcare, dentistry, and orthodontics with technology has revolutionized to the personal wellness industry. The direct-to-consumer orthodontics industry has been particularly transformed thanks to a convergence of digital advancements. Teledentistry uses electronic information, imaging, and communication technologies to provide and support dental care delivery, diagnosis, consultation, and treatment.

Challenge

A leading consumer-facing orthodontics disruptor needed to harness technology to deliver exciting, delightful experiences to engage and convert potential customers.

Valence was engaged to design and develop a pilot marketing experience that would help potential customers to envision their smile after receiving treatment. Valence’s experience in digital retail experiences made the firm uniquely positioned to address this business need.

Solution

Valence designed and built a mobile application that allows customers to See Their New Selfie to anticipate what was possible through teledentistry. The experience included options to share their future selfie to expand the brand’s reach.

The services to deliver this highly personalized and technology-driven experience included web application design and development, and computer vision with artificial intelligence application development.  Technologies included Amazon Web Services (AWS) Lambda, API Gateway, and S3.

Results

The pilot informed the startup’s digital roadmap and received high marks from test users.

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Cloud Enablement and Machine Learning

Fortune 500 Insurance Company

Cloud Enablement and Machine Learning

Insurance companies rely on extensive historical data to predict and manage risk and establish rates. Historical data is becoming less reliable as insurance companies face simultaneous challenges of escalating climate change risks and shifting industry regulations.

Challenge

A prominent insurance company approached Valence seeking a way to better predict and plan for weather disasters. Doing so would help improve its risk models and allow more accurate premiums for policy holders. Given the unpredictable nature of many weather events, a solution that gave real-time information about whether a weather event had occurred or was about to occur was important.

Solution

Valence was engaged to develop a pilot solution using cloud-based machine learning and IoT devices to identify weather events and notify the client in real-time. We trained the machines to recognize sounds picked up by IoT devices at weather ground stations, using 10,000 audio seed files.

Results

With our algorithms and AI process, we could train the machines to recognize 12 unique types of weather events, including metrics tracking the severity of the events.

The pilot included placing 500 devices with machine learning modes at strategically selected locations nationwide. The input from the devices was found to be 85% accurate in the initial pilot.  The pilot informed future strategies for the insurance company and contributed to the technology development roadmap.


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Let’s Connect

The next step on your digital transformation starts with a conversation. Let us know how we can help you, and we’ll get back to you right away.