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In talk with Manvender Singh, CEO – UpX Academy – Taking Data Science certification to new heights

Introduction I have been following the startup ecosystem in Data Science education sector very closely for some time now. Recently, I came across UpX Academy, …

The post In talk with Manvender Singh, CEO – UpX Academy – Taking Data Science certification to new heights appeared first on Analytics Vidhya.

Source: Analytics Vidhya

APIs in Healthcare: Adapt to a Value-Based Model

CHALLENGES ADAPTING TO A CHANGING BUSINESS MODEL

Healthcare is undergoing a shift from a fee-for-servicebased payment model to a value-based-care payment model in which the government provides incentives and penalties based on quality metrics. With the value-based care model, healthcare providers and health plans have shared accountabilities when it comes to managing the health of the individuals and populations they serve. In many cases, health plans and provider organizations are formulating accountable care organizations (ACO) to work together to provide high-quality care to their patient populations. According to Definitive Healthcare, there are more than 800 ACOs representing more than 200 health plans, 3,900 providers, and 300,000 physicians.

A critical component to the success of an ACO is patient engagement, and both providers and health plans need to leverage technology to empower patients and members throughout their journey. It is essential for providers to engage patients to motivate and incentivize them to Changing healthcare modelmanage their wellness instead of their sickness, especially now under a value-based model. Additionally, health plans need to motivate and incentivize cost-savings behaviors with a great deal of quality metrics and dollars at stake.

Federal and state mandates are also a major driver of change in the healthcare business model. For instance, in the past decade, three major regulations have transformed the industry: National Provider ID, HIPAA 5010 upgrade, and ICD-10. Healthcare organizations face tremendous – and costly – challenges to comply with these mandates, and those likely to occur over the course of the next decade.

APIs ENABLE VALUE-BASED CARE

APIs expose existing data on reimbursement to facilitate a new value-driven business model for healthcare providers. Part of the government incentive program also motivates organizations to identify and cut down on costly services lines. APIs can collect and even analyze that data to better inform the service offerings of a healthcare provider and increase incentive dollars. This API data can also provide meaningful insights and demonstrate cost savings to patients through advanced analytics reports. For example, if a report indicated a high risk of a preventable medical condition in a certain geographic region, companies can use this information to incentivize their members to use healthy habits and monitor those results over time. This insight helps both members and service providers to achieve better care and keep costs down in the long term.

Organizations must change as fast as the regulations and economy around them are changing, which can require ramping up new initiatives quickly. APIs allow rapid prototyping of new programs without a significant investment. More or less, most of the healthcare giants in the U.S. are already thinking about a strategy for API management solutions. In terms of adoption, API strategies are being more widely adopted in the healthcare startup realm. Following the paths of other more faster-paced industries, healthcare is poised to invent a large number of implementation solutions using API platforms, which will give them a competitive edge in the market.

Healthcare providers and plans can only benefit from APIs. As a patient or member is provided more “personalized” care, they are bound to use those services more often. If companies do not invest in laying a foundation for API solutions, they will eventually start losing business without the ability to deliver highly personalized, adaptable service.

 

An evolving business model is just one of the healthcare challenges that can be alleviated by API management. Download our guide, Digitally Transforming Healthcare with APIs, for the other ways APIs are changing healthcare and get real-world success stories from industry leaders.

Source: Perficient Data Integration Blog

APIs in Healthcare: Ease Integration

CHALLENGES INTEGRATION SYSTEMS AND MANUAL PROCESSES

With many disparate systems and data format requirements, integration can pose a huge challenge for healthcare organizations. This can be a deterrent in adopting new systems or integrating existing systems. Lack of integration leads to slow manual processes that cost the business money through resource inefficiency. M&A growth

Beyond the difficulty around integration within an organization, integration between organizations can be even more cumbersome. In its annual report on the top issues in healthcare, PricewaterhouseCoopers called 2016 the year of “merger mania.” 2015 broke records for mergers and acquisitions in the healthcare industry, with 1,460 transactions worth approximately $563 billion, and 2016 is gearing up to match – if not exceed – those numbers. These partnerships may create stronger offerings but also come fraught with issues. This explosion of mergers and acquisitions, especially those creating unconventional partnerships, leads to duplicate systems and inefficient processes in the web of resultant technologies.

It is critical for organizations involved in M&A activity to keep consumer experience a priority. Leveraging shared data and services will be a key to delivering a cutting-edge digital experience for existing and newly attained consumers. Lost data and integration can mean lost business.

APIs ENABLE INTEGRATION AND AUTOMATION

Exposed APIs create better products and services. APIs can solve connectivity challenges between systems without significant infrastructure investment by allowing data communication and sharing. APIs have the capability to run analytics over live data and answer questions like:

  1. What kind of applications are most used by consumers and for what services?
  2. What is the age group of patient segments and what kind of services do they seek? This will help design better health plans based on demographics, regions, etc. and better serve the community.

APIs also enable data to be shared with partners, allowing healthcare companies to benefit from data from external resources. The data for any healthcare company does not sit in just one place, system, location, or region. With millions of records, data needs to be integrated and sought based upon different domains such as claims, benefits, etc. This disparate data also holds the key to countless meaningful insights. Through APIs, individual data providers could easily share their data via API calls and expose that data to build new applications that consume one or more of these APIs from different systems to build some meaningful results.

With the redundancy and incompatibility of systems caused by the huge rise of mergers and acquisitions in the healthcare industry, these giants end up with a complex web of applications and infrastructure. APIs can be built on top of this to ease integration without significant infrastructure investment and provide excellent services to all stakeholders.

 

Cumbersome systems integration is just one of the healthcare challenges solved by API management explored in our guide, Digitally Transforming Healthcare with APIs. Download the guide for the other ways APIs are changing healthcare and get real-world success stories from industry leaders.

Source: Perficient Data Integration Blog

APIs in Healthcare: Increase the Value of Health Data

CHALLENGES MAKING MASSIVE AMOUNTS OF DATA MEANINGFUL Medical data growth

Healthcare data requires high security – but that can also lead to difficulty in sharing information when needed. Interoperability of healthcare data requires a modernized infrastructure to enhance communication and access. With restrictive formats like EDI and HL7, along with the unstructured data generated by wearables and devices, providers and health plans have to find faster, easier ways to exchange this data in order to provide better care.

Healthcare organizations need to transform this large volume of data into actionable insights that improve the quality of care and reduce overall costs.

APIs INCREASE INTEROPERABILITY 

APIs can clearly define transmission and security rules for data exchange between systems within a healthcare provider or plan and between organizations. With integrated services, APIs can speed the delivery of interoperable services while increasing the security of patient data. APIs can support Fast Healthcare Interoperability Resources (FHIR), the latest proposed interoperability standard developed by HL7 for data formats used in clinical systems. With FHIR’s modern web services approach, interest and adoption in the healthcare IT community is growing. Organizations must be ready to create systems that can handle this new data exchange technology and those that will proceed it.

It is critical for organizations involved in M&A activity to keep consumer experience a priority. Leveraging shared data and services will be a key to delivering a cutting-edge digital experience for their existing and newly attained consumers. Data integration from all sources and systems is an enormous undertaking, but one that will be the cornerstone of success.

 

Information deluge is just one of the healthcare challenges alleviated by API management outlined in our guide, Digitally Transforming Healthcare with APIs. Download the guide for the other ways APIs are changing healthcare and get real-world success stories from industry leaders.

Source: Perficient Data Integration Blog

How to Simplify and Accelerate Data Integration with Salesforce

One of the biggest advantages of Salesforce as a CRM is the rapid growth of the platform itself. Customers have benefited immensely from Salesforce’s aggressive “growth first” strategy as the company seeks to help brands embed Salesforce more deeply in their businesses. From the Steelbrick and Demandware acquisition, adding CPQ and commerce capabilities to its product arsenal, to the launch of the new Lightning Experience, the rate of innovation itself is hard to keep pace with from an organizational perspective! Then throw in the continued growth of the AppExchange marketplace featuring an abundance of enterprise apps available to help you solve unique business challenges, and you have the makings of a recipe for success with the cloud.

However, the expanded usage of Salesforce within a company often introduces new complexities with data as it flows from one system to the other. In fact, more than 64 percent of companies still struggle with connecting, synchronizing, and relating data, applications and processes. Furthermore, it’s highly unlikely that you’ll be able to go all-in on cloud immediately, or just flip the switch overnight and run your business 100 percent in the cloud instantly. As a result, hybrid cloud environments and are all the rage these days providing the much-needed scalability and agility to make transforming your business much easier. After all, your ability to innovate continuously and keep pace with constant change will be key to customer success. But to achieve this, figuring out where to start with cloud migration, how to solve data quality issues, or continuing to chase the elusive customer 360-degree view is often a bumpy road.

To prepare you for a seamless journey to cloud modernization, it is important to have a solid data integration strategy. Together with our Informatica practice, we have created a roadmap to get you on the right path, and extend the value of Salesforce using Informatica’s data management tools. Learn more about tacking cloud-based CRM data integration challenges and our quick start offering for Salesforce customers. 

Source: Perficient Data Integration Blog

Data Integration Challenges with Cloud-Based CRM

Adoption of cloud computing and SaaS applications continues to increase as advances in technology address concerns with security, privacy and customization limitations.

  • The global SaaS market is projected to grow from $49B in 2015 to $67B in 2018, attaining a CAGR of 8.14% (Roundup of Cloud Computing Forecasts and Market Estimates, Forbes, Sept 27, 2015)
  • 64% of Small & Medium Businesses (SMBs) are already using cloud-based apps, with average adoption being 3 apps

The CRM industry is at the forefront of cloud adoption, with over 50% of current worldwide CRM software spend in the cloud. Gartner predicts that 62% of CRM software will be delivered through the cloud by 2018. Within the CRM market space, Salesforce is the clear leader, with over 18% of the market share.

By now, the benefits of cloud computing are well publicized – cost savings through reduced infrastructure spend, decreased reliance on IT, increased flexibility and scalability with elastic resource allocation, and improved accessibility. For CRM applications, a cloud-based environment like Salesforce expands on these benefits to include:

  • Enhanced Productivity: Users can access the CRM system through a variety of devices, anywhere with an internet connection. This accessibility allows employees the ability to access customer information in the field, in real-time. Workflow and collaboration capabilities also dramatically improve productivity, by streamlining communication and expediting approval processes.
  • Informed Decisions: All account, opportunity and contact information is stored in a central location, presenting a clear customer profile. This information is also easily converted to reports, dashboards and sales forecasting to improve decision making across the enterprise.

CRM Data Challenges in the Cloud

Even as cloud adoption and popularity continues to rise, challenges exist with data quality and integration in a hybrid environment. “More than 64% of companies struggle with connecting, synchronizing, and relating data, applications and processes. This leads to cloud adoption challenges.”

Data quality often takes a back seat to more urgent matters, but the importance and value of complete, accurate data should not be downplayed. Successful companies are learning to leverage internal and external data as strategic assets that drive intelligent business decisions. However, this approach requires a well-defined strategy for maintaining and collecting data to maximize quality and optimize value.  Poor data quality can impact your customers’ perception of your business, your employees’ abilities to efficiently complete tasks, and can lead to lost revenue opportunities or the inability for executives to make important business decisions.

This data management strategy extends to all enterprise platforms, including CRM systems, which house a wealth of valuable customer and transitional information. To get the most from a CRM platform like Salesforce, it’s essential to integrate data sources from key applications such as ERP, accounts payable, and marketing automation systems.

Data integration is a challenge for many organizations, and a cloud-based environment adds a set of unique challenges. In order to effectively integrate data across cloud and on-premise sources, it’s critical to implement a set of best practices for data quality, data integration, and CRM-instance consolidation, along with a set of tools that help automate many integration steps.

We’ve found that there are essential elements to any cloud-based data integration initiative:

DataIntegrationComponents

If you’d like assistance with your cloud-based data strategy or architecture, we’re here to help. We’ve created a 4-week quick start to get you on the right path with each of these components of cloud-based data integration and modernization. Download more info here: https://go.pardot.com/Cloud-Modernization-with-Informatica-Quick-Start

Source: Perficient Data Integration Blog

10 Healthcare Analytics Trends for 2016

Healthcare industry transformation is providing organizations with an opportunity to revolutionize how they operate. The digitization of medical records, wearable technologies, mobile, and the Internet of Things are contributing to the data deluge, and innovations in technology are making it possible to transform this data into meaningful and actionable insights to enhance patient care and consumer experience, reduce overall costs, and transform business. It is critical for healthcare organizations to strategically align technology initiatives with business objectives in order to meet the demands of the “new” healthcare era.

Healthcare organizations not only need to be able to effectively manage their data but they need to be able to transform data into knowledge to improve outcomes, both operational and clinical. We recently published our 10 Healthcare Analytics Trends for 2016 guide which explores ten trends we have seen and will continue to see significantly impacting healthcare:

  1. Align Clinical, Quality and Financial Analytics to Enable Value-Based Care
  2. Integrate Clinical and Claims Data to Enable Population Health Management Insight
  3. Leverage Cross-Continuum Data Analysis for Improved Patient Care and Outcomes
  4. Grow Enterprise Intelligence to Measure and Improve Patient and Organizational Health
  5. Utilize Reusable Accelerators to Quickly Achieve Actionable, Data-Driven Insights
  6. Use Predictive Analytics to Reduce Readmissions and Improve Outcomes
  7. Leverage New Tools and Skills to Transform Large Volumes of Data into Meaningful Information
  8. Increase Level of Understanding and Control Over ACO Data and Analytics
  9. Develop and Implement a Strong Governance Strategy and Organization
  10. Position Big Data Technologies to Enable the Everyday Use of Data Science

Fill the form out below to get the complimentary guide which includes real-world client success stories!

Source: Perficient Data Integration Blog

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