Lightbeam
TAMPA, Fla. - February 7, 2022 - (Newswire.com)
Population health management technologies were scored on eighteen PHM-centric key performance indicators including Strategic Alignment with Client Goals, Innovation and Risk Models, Client Relationships and Cultural Fit, Trust and Accountability, Deployment and Implementation, Interoperability, Reliability, Financial Viability and Managerial Stability, Customer Care Support, and Best-of-Breed Technology in the Q2 2021- Q1 2022 survey processes. 1,082 IT, clinical and operational executives leading population health technology initiatives in payer and employer organizations participated in the user survey.
End-to-end Population Health Management Solutions included Data Aggregation and Analytics, Financial Costing and Bundling, Care Management, Risk Modeling, and Patient Outreach capabilities for software, services, and consultant firms. In the survey sets and polling, Black Book asked respondents to assess and score PHM vendor performance in the six functional components widely accepted as the essentials of Population Health Management:
Data Collection Aggregation, Storage and Patient Registries
Connectivity and Identification of Gaps in Care
Big Data Stratification and Risk Segmentation/Cost Metrics
Patient Engagement and External Data Acquisition
Care Team Coordination and Management, and
Outcomes Measurement, Reporting and Analytics
A total of 156 vendors reported offering customers a full suite of technology and services to address end-to-end population health management solutions in the pre-survey processes. The top twenty rated companies rated by system users were announced in the Black Book report today.
Lightbeam Health Solutions garnered the highest client experience grades for end-to-end population health solutions by payer, insurer, employer and health plan survey respondents achieving top performance scores in twelve of eighteen categories.
"The increasing legion of digital healthcare infrastructure companies are freeing the path for new patient-centric approaches in 2022,'" said Brian Locastro, senior manager at Black Book Research. In 2021, digital health infrastructure and interoperability startups secured $2B and we see this growing cohort of infrastructure players pushing the population health marketplace forward with a cohesive payer data ecosystem, releasing unlimited opportunities for Lightbeam and other developers."
About Black Book
Black Book Research does not contract for, barter, exchange or accept direct services from any public relations firm mentioned in the rankings. Black Book reports the results of the collected satisfaction and client experience rankings in publication and to media prior to vendor/firm notification of rating results and does not solicit vendor/agency participation fees, review fees, inclusion or briefing charges, consultation requirements, and/or vendor collaboration as Black Book polls' clients. Black Book™, its founders, management and staff do not own or hold any financial interest in any of the vendors or public relations firms covered and encompassed in the surveys it conducts.
Since 2000, Black Book™ has polled the vendor and service firm satisfaction across over thirty industries in the software/technology and managed services sectors around the globe. In 2009, Black Book began polling the client experience of now over 840,000 healthcare software and services users including public relations agencies and crisis management consultants. Black Book expanded its survey prowess and reputation of independent, unbiased crowd-sourced surveying to IT and health records professionals, physician practice administrators, nurses, financial leaders, executives and hospital information technology managers.
For methodology, auditing, resources, comprehensive research see: http://www.blackbookmarketresearch.com
Media contact: Research@blackbookmarketresearch.com
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Original Source: Lightbeam Health Solutions Rated Top End-to-End Population Health Solution for Payers, Self-Insured Employer Groups and Health Plans, Black Book™ Best-of-Breed Analysis
