HD Nursing Selects Infogain To Develop Sense AI, Its New Patient Safety Database Application

Prominent patient safety solutions company partners with Infogain to develop advanced database application to further assist in improving patient safety outcomes for HD Nursing’s acute care clients

BENTON, Ark. December 9, 2020 — HD Nursing has partnered with Infogain, a leading provider of technology solutions, to design, develop and build a secured database application, called SenseAI, to significantly enhance the service levels to the company’s acute care customers. Over the past year, HD Nursing researched and reviewed many top database developers that specialize in securely handling health care data. The company selected Infogain due to several key factors. One of the project’s core objectives was to enhance the ability to reliably collect, securely store, and properly analyze large amounts of data coming in from hundreds of thousands of input points in a variety of health care settings. Another core objective was to be able to manage the entire application internally. This project was a major initiative spearheaded by HD Nursing’s Director of Clinical Operations, Erin Bush.

“Infogain quickly demonstrated their expertise in healthcare and willingness to listen to our various needs. With HD Nursing adopting Azure services, our SenseAI database application is now more secure than ever behind advanced firewalls,” Bush said. “Azure Databases have now equipped us with the ability to function without any downtime, threat of data loss or machine failure with its Availability Sets. With functionality added from Power BI we are now able to provide our clients with more accurate and dynamic data insights, offering client-specific dashboards and real-time data visualizations. As we move forward, we will be exploring additional avenues including data mining, machine learning, and analytics through various platforms to provide deeper insights into our data so our customers can learn and continuously improve on their clinical processes.”

HD Nursing’s mission and vision for transforming fall and pressure injury prevention within health care is visible in its results-driven success at the patient, population, hospital and system level. HD Nursing is committed to continue to champion advancing nursing and interdisciplinary clinical competencies and skills essential to ensuring patient safety.

Dr. Amy Hester, HD Nursing’s CEO, said: “Data fidelity and security are two critical components of ensuring that decisions are well-founded, and information is reliable, safe, secure and accessible. Partnering with Infogain will ensure we serve our clients with confidence in both fidelity and security, which is important for the health care systems we serve.”

Dr. Vikas Budhiraja, Vice President – Healthcare & Life Sciences at Infogain, said: “We are thrilled to partner with HD Nursing to design and develop the SenseAI application. Our collaboration with HD Nursing showcases Infogain’s product development expertise and commitment to delivering value to our customers serving the health care sector while improving the quality of care to many different patient populations.”

Dr. Hester added: “Having immediate access to live data at our fingertips, coupled with being able to visualize the performance level of care, including improving patient outcomes in a variety of patient populations, will allow HD Nursing to continue to deliver both data and results-driven success. This solution will also allow us to be much more nimble in enhancing the science of patient safety as we continually monitor and develop current and future predictive analytic platforms that serve as the backbone of our approach to driving the right interventions and technologies to the right patients at the right time.”

SenseAI is scheduled to be completed and go live on January 1, 2021.

For additional information on HD Nursing please visit www.hdnursing.com. For additional information on Infogain please visit www.infogain.com.

About HD Nursing
HD Nursing is the dominant patient safety solution that combines predictive analytics with individualized fall and fall injury prevention patient care. Offering the only fall risk assessment tool validated in the electronic medical record, and a program that is a comprehensive, evidence-based approach to reduce patient falls and injuries, the HD Nursing falls solution is employed by leading health systems and academic medical centers across the U.S. Leveraging EHR functionality and communication technologies, new HD Programs in Community Fall Prevention, Pressure Injury Prevention, Early Mobility and Safe Patient Handling showcase HD Nursing’s dedication to improving multiple patient safety initiatives across the continuum of care. Since the company’s inception in 2012, HD Nursing has been fully committed to the promotion of diversity, equity and inclusion, which are essential in its constant pursuit of excellence as a national leader in patient safety.

About Infogain
Infogain is a Silicon Valley-based company with digital platform and software engineering expertise in the technology, health care, insurance, travel, and retail industries. We accelerate experience-led transformation and delivery of digital engagement systems and platforms. Infogain engineers business outcomes for Fortune 500 companies and digital natives using technologies such as cloud, microservices, robotic process automation, IoT, and artificial intelligence. A ChrysCapital portfolio company and Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert MSP, Infogain has offices in California, Washington, Texas, London, Poland, Dubai, India, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, New Delhi, Bangalore, Pune, and Mumbai. To learn more, visit www.infogain.com.

For more information, contact:

Cathy Chandhok
cathy.chandhok@infogain.com
(408) 355-6028

Sarmishtha Sinha
sarmishtha.sinha@infogain.com
+91 8810573274

Infogain Enables Real-Time Predictive Sales Business Intelligence (BI) to Enhance Productivity for Trilogy

Infogain Helps Trilogy to Deploy an Interactive Business Intelligence Tool for its Enterprise Lead Management System

 

The client is a U.S-based provider of enterprise-class software and service solutions to Global 1000 companies in the automotive industry. The client’s Enterprise Lead Management System (ELMS) delivers the highest quality new and used vehicle leads to dealers and automotive manufacturers. Infogain partnered with the client to develop and deploy a BI tool for its ELMS. The Infogain team developed a rich functional BI interface that provided end-to-end analysis and basic analytics of Lead performance along with operational day-to-day reports.

Infogain Implements Interactive Business Intelligence (BI) Tool for Trilogy Automotive

Los Gatos, California: March 28, 2018: Infogain, a leading provider of technology solutions and services has partnered with Trilogy, a US-based enterprise-class software and service solutions provider to Global 1000 companies in the automotive industry. Infogain implemented an Interactive BI Tool for Trilogy’s Enterprise Lead Management System (ELMS).

Trilogy’s ELMS delivers the highest closing new and used vehicle leads with transparency and best-in-class customer service. Infogain built a web based BI dashboard that provided end-to-end analysis and basic analytics of Lead performance along with operational day-to-day reports. Additionally, the solution is scalable and designed to handle ongoing maintenance and enhancements and new developments in a timely, yet cost effective manner.

“Infogain’s smart Business Intelligence engineering provided comprehensive design, product management, development and QA that accelerated our delivery of go-to-market BI solutions for our automotive customers. The Infogain team delivered focused agile development methodology and has commendable technical expertise on BI Technologies.” said Biren Shah, Director of Product –Automotive, Trilogy.

Nisha George, Senior Practice Leader – BI & Analytics at Infogain said, “With the automotive industry aggressively embracing analytics for superior results, the client was looking to enhance the functionality of its ELMS product by developing an interactive Business Intelligence (BI) Product. Infogain developed a user-friendly dashboard that could be integrated with the ELMS CRM Product to address the business challenges like managing and tracking leads across the lifecycle.”

Trilogy received many business benefits with Infogain’s BI tool, including increased retail sales through data-driven insights, and an uptick in customer engagement, retention and lifetime value. Other benefits include improved reporting and operational efficiency through a single interface for operational analytics.

Please click to download the case study – http://bit.ly/2GgNV3p

 About Infogain

Infogain (www.infogain.com) provides front-end, customer-facing technologies, processes and applications that lead to a more efficient and streamlined customer experience for enterprises in the US, Europe, the Middle East, Asia Pacific and India. Offering solutions for the high-tech, retail, insurance, healthcare and travel & hospitality verticals, Infogain specializes in areas such as software product engineering, digital service automation, cloud, mobility, testing and business intelligence & analytics. The company has 9 delivery centers and close to 4,000 employees globally. Infogain has a customer retention rate of 90%+ over a five-year period.

For more information, contact:

 Infogain

Cathy Chandhok
VP – Marketing
Cathy.Chandhok@infogain.com
(408) 355-6028

Sudeshna Mukherjee
Corporate Communications
sudeshnam@infogain.com
+91 7738574137

Mobile Business Intelligence Empowers Employees With Anytime, Anywhere Access To Critical Data

Business & Technical Challenges

The client’s user base typically utilizes several business intelligence applications on a regular basis. Inefficiencies existed due to the lack of a consistent framework and no integration across the apps, causing users to perform low-value tasks on a repetitive basis to get the information they needed most.

On the technical front, the BI dashboard applications needed to be made available on the mobile platform, and each had its own set of interfaces and access/launch processes, as they originated from several third-party solution providers. Users also had different access permissions for the various applications which needed to be managed securely, according to the client’s established application security guidelines.

A number of common functionalities were being rewritten multiple times by different teams working n different mobile dashboard thus increasing development costs and inconsistency.

The umbrella application would also need to add value to categorize, launch and maintain the applications from a single interface.

Infogain implemented SAS and BI solutions with leading mobile network operator

Business Challenges

The client was implementing marketing campaigns with an Excel spreadsheet, IBM Database 2 (DB2) and a solution called “IRIS.” They were experiencing cumbersome and slow manual analytics. As a result, their subscribers would receive information that was 15 days or older. Launching activity was slow, with a reach of 8 out of 22 telecom circles, and 50 campaigns.

The client wanted an automated solution that was efficient and effective for building and maintaining a loyal customer base. They chose the SAS® Campaign management solution with innovative features consisting of a user-friendly interface, advanced analytics, superior information management and custom campaign processes. The client chose the SAS® product and the services of Infogain to meet multiple business objectives including:

  • Customized and tailored campaigns
  • Better customer segmentation
  • Targeted and personalized messages with best offers
  • Increased effectiveness and efficiency
  • Increased return-on-investment
  • Cross-sell and upsell services
  • Churn analysis and forecasting

Business Transformation Into Virtual

Virtual reality, Artificial Intelligence, Augmented Reality and virtual reality are becoming growing examples of cutting edge applied technologies. In an exclusive conversation with Ramesh Subramanian, CTO, Infogain, Faiz Askari of SMEStreet explored latest trends in the uprising segment.

We are witnessing a major transformation in almost every field. In the area of technology, this transformation is happening in the form of intelligence and experiential learning. Virtual reality, Artificial Intelligence, Augmented Reality and virtual reality are becoming growing examples of cutting edge applied technologies. In an exclusive conversation with Ramesh Subramanian, CTO, Infogain, Faiz Askari of SMEStreet explored latest trends in the uprising segment of Machine Learning, Artificial Intelligence, IoT and Virtual Reality.

The edited excerpts:

Faiz Askari: How are enterprises today adopting Machine Learning and Artificial Intelligence?

Ramesh Subramanian: Machine Learning and AI has advanced significantly in the past few years and enterprises are constantly working on models that would help in analysing large volumes of structured and unstructured data type with the ultimate goal to improve business performance. According to a latest Gartner prediction Artificial intelligence will be the top investment priority for 30% CIOs by 2020 as AI technologies will be virtually pervasive in almost every new software product and service.Effective adoption is still in the nascent stage though, with evolving problem definitions, drivers, data sets and ROI expectations. ML is at a similar point on its adoption curve as the internet was in the late 1990s or cloud computing was in the mid-2000s. These disruptive technologies hold tremendous potential but enterprises need to step with caution and should have a well-though out, strategic approach before adopting it.

Faiz Askari: Enterprises has seen tremendous changes in the last few years from adoption SaaS to Mobile and Analytics. How do you foresee the market changing with automation and intelligence?

Ramesh Subramanian: The adoption of SaaS, Mobility and Analytics are a part of the trend towards “personalization” of business models driven by IT, where segments-of-one are the goal and the power of search and selection at the hands of the customer are practically infinite. Automation and Intelligence are intuitively the next steps in this trend, and we foresee these techniques becoming ubiquitous in the next year or two.

Today, Machine Learning and AI is heralding new algorithms, applications, and frameworks bringing greater predictive accuracy and value to enterprise data. With the availability of huge data sets and the low cost of computing and storage, enterprises now are keen on exploring new technologies that can redefine their processes, bring in innovations and helps them to stay ahead of the curve. Automation is being implemented across industries, ranging from transportation and utilities and manufacturing and different sectors have their own sets of business benefits. Different industries will have to implement and apply automation in different ways to achieve the desired results.Some use cases for Automation and Intelligence transcend industry verticals- such as Chatbots for assisting with customer/ employee interactions, Advanced Search for better leverage of knowledge capital, Robotic Process Automation to integrate and streamline business processes; in more detail,for a Retail business, automation and intelligencecan help in Predictive Inventory Planning, for a Travel business it can streamline traffic patterns and congestion management. Similarly for Healthcare it can help in real time patient monitoring and prognosis, and for a Manufacturing business, it can help in predictive maintenance and improved collaborative planning.

Faiz Askari: What kind of caution or preparedness is required by enterprises to adopt these technologies?

Ramesh Subramanian: Enterprises are bound to face some challenges with Automation and Intelligence. On the one hand are the well-known risks to jobs arising out of more decisions being made automatically by machines, and improved digitization from process automation.

On the other hand, evidence suggests that early ML/AI pilots are unlikely to produce the dramatic results that technology enthusiasts predict. For example, early efforts of companies developing chatbots for Facebook’s Messenger platform saw 70% failure rates in handling user requests. Firms need to understand that this technologyrepresents a completely different paradigm and requires a well-though out, strategic approach to adopting it.

The following steps/ approach can be leveraged to effectively operationalise enterprise ML/AI programs-

  • Prepare groundwork for adoption– Machine learning based use-cases cannot be implemented overnight. Preparation for leveraging ML and AI technologies must be planned just as well as implementation of the technology itself. The business challenge needs to be articulated clearly and data required must be identified, prepared and manged on an ongoing basis. Identify the features required and engineer the architecture for building the same.
  • Build Required Capabilities- Hiring the required skills is essential for deploying sophisticated ML and AI programs. This is probably the biggest challenge today, given the high demand for such skills but severe shortage in supply. Skills that are essential for ML include- modern architecture and technology skills, data science and experienced domain skills to understand complexity and requirements of implementing an industry use- cases.
  • Plan for Deployment at scale- Too many ML/AI projects fail today when implemented at scale, even though they might have had a successful PoC. Hence the planning for deployment must take into the account the scale for implementation- it should be well defined mathematically and the ontology that is developed must be robust at scale. The algorithms need to be trained adequately by ensuring availability of large and clean data sets.

Faiz Askari: What kind of investments are required by enterprises?
Ramesh Subramanian: Automation is the way forward and investments are increasing sharply particularly by tech giants like Apple, Amazon or Google who are investing in billions in R&D and in acquiring AI based start-ups. According to a recent report there are 2,200+ Artificial Intelligence start-ups, and well over 50% have emerged in just the last two years. However the areas are yet to be explored for commercial benefit and in a recent McKinsey survey of around 3000 businesses across the globe, business leaders are still uncertain about the benefits from their investments in AI. It is predicted that AI adoption for enterprise will remain slow in 2017.

Faiz Askari: How is Infogain helping enterprises? What kind of solutions are you bringing to the market?

Ramesh Subramanian: Infogain is at the forefront of implementing some aspects of the Automation and Intelligence technology spectrum. We help our customers automate and digitize business processes across countries and business groups, resulting in visible and significant benefits to their bottom lines.

We help our customers get a perspective on value of such technology to their businesses, identification of use-cases within their range of activities, and implementing pilots to review outcomes and caveats. This phase of ‘digital’ consulting enables our customers to plan strategically and adopt these technologies to the extent and within constraints as relevant to their businesses. While this still gives some exemplary results to our customers, such a methodical approach allows them to approach the business case without too many surprises.

We have helped our customers to make quicker and better decisions based on image analysis and monitoring- including video monitoring, in an automated manner; these customers span industries as wide as Finance, Insurance, Healthcare, Manufacturing, Travel, etc. Some of these use cases involve a combination of cutting-edge technologies, such as IoT, remote sensing and imagery, blockchains etc. alongside Automation and Intelligence to deliver value that was impossible in an earlier era.

We also actively induct partners and alliances into our portfolio, to ensure the entrepreneurial technology initiatives are made fully available to our customers.

— The writer is VP, HR, Infogain

News Originally Posted on: SME STREET

 

Changing Face of Retail Business Intelligence

Rikki Jolly
VP-Global Delivery (Retail), Infogain

Paving way for a bigger, brighter and magnanimous future, analytics and Big Data are transforming one of the largest global industries – the retail industry. The value, variety and velocity of retail data is surging by the day, making it imperative for the industry players to elevate their offerings to match the changing consumer paradigms. While consumers may be tilting between the widely growing network of e-tailing and traditional brick and mortar stores, it’s the innate charm of providing a personalized experience that still draws consumers to ground zero. However, times are e-changing and gone are the days of long-term business planning. With technology paving its way deep into the sector, it has become crucial to transform to stay in the game.

The traditional retails stores are left with no choice but to be a part of the change and make a dash for a bevy of reforms to give attract, retain and widen their consumer base. With understanding the consumer forming the basis of every business strategy, it becomes the demand of the industry to scale up data collection, analytics and its usage. A McKinsey report had suggested that retailers making use of big data analytics could increase their operating margins by as much as 60 per cent.

The tremendously competitive retail environment has made it extremely complicated to understand and win consumers. The roadblock doesn’t exist in the unavailability of data defining the consumers and their buying patterns, rather its available dime a dozen. The biggest challenge is to fathom and interpret the data procured from a multitude of channels to take informed business decisions. And this is by far the tallest challenge given the plethora of tools available analyze and report on data that may not give deep decision making insights unless rightly interpreted and aligned to the business goals.

This makes it imperative for retailers to be proactive, alert and dexterous with having customer-oriented ground staff, aided with technology to enable a customer needs friendly environment. There is a need to adapt technological disruptions and work closely on the data and analytics capabilities to survive in the ever-moving market dynamics. This agility and ability to understand the mind of the consumer gives the retailer an opportunity to gratify the consumer across all contact points and occasions, building relationships that have the potential to deliver incremental profits.

How is Big Data helping Retailers?

1.Identifying customers – Today retailers have a better way to identify the customers and offer them the right product. The customer segmentation is now much more refined and data driven based on customers transaction history, basket analysis, loyalty programs, social media interactions. It is easier for retailers to get a 360 degree view of the customer and offer them customized products based on their past preferences or what people similar to them are buying.

2.Price Optimization – Online Retailing is based on Dynamic Pricing and the price of a product depends on multiple factors from market demand, inventory, competitors pricing, whether a particular product is the seasons must have product, etc. Earlier retailers used to give end of season sale. But now based on Machine Learning, prices are adjusted real time and recommendations or offer are sent to a specific set of customers who has purchased those products or has earlier shown interest, propensity to buy those.

3.Generating Customer Loyalty – Customers today need to be treated royally, they want Retailers to understand their requirement, recommend product and services that suits them, and keep them informed at every stage of the selling cycle from booking, shipping, and product delivery to feedback. This is not an easy task for the retailers keeping in mind the varied customers they serve. Big Data Analysis can help you to recommend the right products to a customer or run targeted marketing campaigns to reach out to a specific segment. It also helps you to understand the customers’ path to purchase or their buying pattern, thus reaching out to them at each step to close the sales cycle.

4.Forecasting Demand – Predicting demand has become much more efficient now and retailers can easily find if a particular product is in demand during certain time of the year, or in a particular city or by a specific group and how to adjust the inventory. Retailers also gather a lot of data using social media to understand the changing preferences of a customers or do sentiment analysis to find whether the product is getting positive, negative or neutral feedback in the market.

5.Fraud Detection – Big Data Analytics can be effectively used to detect any fraud by analyzing data from daily transactions and activities such as purchasing, accounts payable, POS, sales projections, warehouse movements, employee shift records, returns and store-level video and audio recordings.

Enhancing Customer Experience
In the extremely competitive retail environment, the trick lies in creating an unforgettable customer environment to attract and retain customers. And effective use of technology can help in making this a reality as innovative retailers are making use of digital tools to augment the customer experience in their stores. And the ones that understand the consumer pulse are getting down to offering free Wi-Fi, cloud based POS systems among other measures, encouraging consumers to do research and make informed buying decisions, giving the retailers also an opportunity to track their shopping behavior. This preliminary insight will enable the retailer to create bespoke recommendations and multi-level reward programs. And the free Wi-Fi may turn out to be as good a crowd puller like a sale signboard!

The pace and the dexterity with which micro data is collected, gives the retailers immediate insights on the shopping trends. This analysis on the move allows them to adjust their prices and add to the lure by announcing on the spot discounts on the sales floor based on their current and previous shopping patterns. This data, often collected through interactive mobile devices in stores, provides the retailer an understanding of the buyers needs and give insights into making smarter decisions about product placement in the store.

These, small yet effective insights, gives a retailer acumen about future consumer behavior, which is a must to stay alive in the competitive retail world. This would be a far cry from the historical retailers who only scratched the surface while making use of the piles of customer data available with them. And with the social media redefining the rules of the game, understanding and leveraging these social media sentiments can give them insights into the customer behavior and intentions. The formidable power of social media that can make or break brands is forcing the retailers to transform the retail landscape dramatically with interactive and immediate communication strategies pushing away the traditional approach. Customer has indeed become the king for retailers that needs an ‘out of the way’ experience with unexpected customized and bespoke services on offer to be able to make an impression in the bevy of lures already preoccupying their minds.

News Originally Posted on: ET Retail