informatica data transformation ebook for healthcare
TRANSCRIPT
Healthcare Industry Survey Report Informatica Data Transformation
Universal Data Transformation for an Integrated Healthcare Ecosystem
Introduction
A data revolution is under way in health care. Data from medical databases, digitized patient records, clinical trials and public insurance programs are largely available due to data sharing initiatives. The challenge is efficiently leveraging this data to drive growth while making the transition to value based care.
Across sectors, strategies obviously differ but a couple of themes have emerged:
Investing in information innovation. The crux of this theme is to make new information more accessible while applying data management to ensure the data is trustworthy and secure. This includes initiatives to unlock data trapped in legacy systems, so it can be shared, and accessing new data sources for the advanced analytics needed for value based care.
Managing regulatory and risk. The enemy of managing risk is the proliferation of manual or custom processes. Embracing automation and standardization are increasingly required for a more nimble approach to regulatory compliance and risk management.
These are complicated themes that can only be satisfied with the advanced integration flexibility delivered by Informatica Data Transformation.
Integration Inflexibility
The problem stems from the technical debt accumulated from expensive custom scripts with low amounts of reuse and zero standardization. Continuing the status quo means inevitably IT is perceived as failing to support healthcare data-driven growth and fee-for-value initiatives.
Data transformation is implement to replace manual processes or hand coded scripts which customers find limit their ability to access and effectively use available data.
As the business attacks information innovation or regulatory compliance, requests for new data sources and data format support flood IT. Do you often hear the complaint that “it takes too long and costs too much” to add new data formats and sources?
Top 3 Challenges
Cannot onboard new formats fast enough
High development costs of existing solution
No standard process so everything is custom
1
2
3
Need Broad Format Support
55% To Support
Complex XML
45% To Support
Unstructured
Documents (PDF, XLS, DOC)
38% To Support
Industry
Standards
Source: TechValidate. TVID: 022-D04-AC4
We asked our customers what was the most common reason why they implemented a data transformation solution. The top 3 reasons are:
Most Common Customer Projects
Analytics
Data analysts know the most interesting data for gaining new insights resides outside their four-walls. As a result, 67% are integrating data from external data sources. With 3rd party data, you have little control. This lack of control, combined with increased business demands, pushes existing processes to their breaking point.
This is not to say that integrating internal data is going away, as 45% said they are integrating internal clinical and administrative data to a data warehouse.
Application Modernization
Many fee-for-value and operational efficiency initiatives are forcing the replacement of aging applications. Coupled that with frequent M&A and application modernization, rationalization, and consolidation projects are a relative constant.
In these projects, new processes create new integration requirements. 45% say new data requirements are driving them to look for more robust data transformation solutions vs. business as usual.
Where the Efficiencies are Gained
A single solution to automate any-to-any data format transformation
Pre-built industry data format libraries to jump start projects
Create reusable transformations to standardize across platforms
Map once. Deploy Anywhere. Data transformation run-time is embeddable in any platform: PowerCenter, EAI/ESB, Hadoop, or Cloud
Visual development environment with debugging to reduce mapping errors and testing time
82% Say They Are
More Efficient**
* Because of multiple data type support
Deliver Projects On-Time
The primary objective of moving away from hand coding or manual integration processes is to reduce time to information by integrating new healthcare data sources, more rapidly and reliably.
Nearly 50% of Informatica Data Transformation customers report at least a 50% improvement in their speed to market for new projects.
Optimize Your Resources Time
Most increased productivity by at least 20%
Rapidly Integrate Data Across Clinical and Administrative Systems
Through reuse, automation and reduced development time, most customers (52%) are able to achieve return on their investment within 12 months or less.
More importantly, customer are able to integrate any type of data in half the time. This is an critical step to move to a data-driven model in order to drive operational efficiency and improve patient engagement.
Informatica Data Transformation is a comprehensive, enterprise-class universal transformation solution for any data type, regardless of format, complexity, or size.
Its embeddable run-time engine brings advanced data transformation capabilities to Powercenter or any infrastructure, solving your enterprise-wide data transformation challenges in a high performance, scalable environment.
Through a single, easy to use interface, users can build transformations for complex XML, JSON, Protobuf, industry formats (HIPAA, HL7 v2, HL7 v3, HIX, etc.), unstructured documents, and even legacy data formats like COBOL copybooks.
Resource Links Data Transformation Website
Data Transformation Data Sheet
UPMC Case Study
Christus Health Case Study
Informatica Data Transformation
Available Versions
Features Data
Transformation
PowerCenter
Advanced
XML Option
PowerCenter
Unstructured
Data Option
Unstructured
Document
Transformation
Yes No Yes
JSON Yes No Yes
Complex
Hierarchical XML
Transformation
Yes Yes No
Industry Format
Libraries Yes No No
Embeddable Yes Yes Yes