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Enterprise Imaging 2021
Are Any Solutions Ready for Broad Market Adoption?
Author
Monique Rasband
Author
Emily Paxman
Author
Taylor Davis
Current Time Inside Cache Tag Helper: 5/29/2022 6:05:03 AM and Model.reportId = 1694
KLAS estimates that just over 200 organizations in the US are live with enterprise imaging (EI) technology, defined here as the ability to store and/or view images across the enterprise from more than one service line, PACS, or long-term storage solution. KLAS interviewed leaders from 138 of the deepest adopting organizations (over 60% of all organizations live) to gain insights into their experience. A single question guided the interviews: Is EI technology ready for broad adoption by the market at large? By examining recent go-lives, customer-reported ROI, and vendor’s strategic ability, this report identifies each vendor’s proof points of success and reasons for caution, seeking to determine which vendors are best poised to meet needs as EI adoption expands.if you don't have a login, getting started is easy.
Key Findings:
- Track Records of Agfa, Fujifilm, Hyland, IBM Indicate They Are Most Ready for Future EI Adopters—but Not without Caveats
- Agfa HealthCare Sees the Most—and the Most Satisfied—Recent Go-Live Validations
- IBM Watson Health Leads in Scalability; Small Philips Customers Report Positive ROI
- Agfa HealthCare, Philips, GE Healthcare, IBM Watson Health Best at Providing Strategic Guidance
- Referential Viewing—GE Customers Often Using Third Party or Not Adopting at All
- Vendor Summaries
Writer
Elizabeth Pew
Designer
Madison Fujimoto
Project Manager
Natalie Jamison
This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2022 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.