Ridgeland, 39157, MS,
United States
Magnolia Health United States Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Magnolia Health United States and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 300 Magnolia Health United States employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Magnolia Health United States has purchased the following applications: MedeAnalytics Medicaid Enterprise Analytics for Analytics and BI in 2019, Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2019, SS&C AMISYS Advance for Core Admin Processing System in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Magnolia Health United States is running and its propensity to invest more and deepen its relationship with MedeAnalytics , Microsoft , Amazon Web Services (AWS) or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Magnolia Health United States revenues, which have grown to $900.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Magnolia Health United States intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| MedeAnalytics | Legacy | MedeAnalytics Medicaid Enterprise Analytics | Analytics and BI | Analytics and BI | n/a | 2019 | 2019 | In 2019, Magnolia Health participated in a MedeAnalytics-powered clinical data exchange leveraging MedeAnalytics Medicaid Enterprise Analytics, within the Analytics and BI category. The engagement connected Magnolia Health with the Mississippi Division of Medicaid to operationalize data sharing for managed care workflows. The implementation focused on clinical data exchange capabilities, including transmission of clinical summaries, laboratory results, and medication data to the state Medicaid agency. Magnolia Health’s use of MedeAnalytics Medicaid Enterprise Analytics enabled structured clinical information flow to support care management, case coordination, and population-health oriented reporting common to Analytics and BI deployments. The integration tied MCO-level operational workflows to the state Medicaid infrastructure, supporting managed care and care management functions across Mississippi. Participation was documented in vendor and state announcements, and indicates involvement in the MedeAnalytics clinical data exchange rather than an explicitly documented purchase of the full Medicaid Enterprise Analytics suite. | |
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Analytics and BI | Analytics and BI |
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2019 | 2019 |
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Data Warehouse | Analytics and BI |
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2017 | 2018 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS | n/a | 2019 | 2019 | ||
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Application Hosting and Computing Services | IaaS |
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2024 | 2024 |
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Content Delivery Network | IaaS |
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2024 | 2024 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2024 | 2024 |
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Digital Workspace | IaaS |
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2011 | 2011 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| SS&C Technologies | Legacy | SS&C AMISYS Advance | Core Admin Processing System | ERP Services and Operations | n/a | 2017 | 2018 | In 2017, Magnolia Health United States implemented SS&C AMISYS Advance as a Core Admin Processing System. The deployment aimed to centralize member administration workflows across referral management, prior authorization processing, appeals tracking, and correspondence handling for the health plan, with operational activity documented at the Jackson, Mississippi site. The SS&C AMISYS Advance deployment was configured to support core administrative modules typical of a Core Admin Processing System, including member record and account management, prior authorization intake and routing, referral case processing, and appeals and denials workflow. Configuration emphasized structured capture of authorization details and pre-authorization status updates to ensure data used by referral specialists and utilization review teams matched business process requirements. Integrations were implemented with existing operational systems cited in the project context, including Tru Care, Amisys, Portico, Cypress, FileNet, CRM, and OMNI. FileNet was used as the document management repository for compiled physical and digital paperwork, while CRM integration provided a unified interaction layer for call handling and correspondence; these integrations surfaced authorization and appeals information to front-line referral specialists. Governance and workflow restructuring focused on routing authorization requests to appropriate staff, formalizing prior authorization lists, and instrumenting appeals workflows so denials could be reviewed and appeals initiated. Referral specialists used the platform to manage correspondence with providers and payers, to initiate outpatient and inpatient authorizations, and to route tasks within the care management and utilization teams. Operational outcomes recorded in the implementation context included referral staff answering an average of 35 daily phone calls related to scheduling and inquiries, and reported reductions in inaccuracies through maintenance of accurate records and consolidated documentation. No additional outcome metrics were provided in the source material. |
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Customer Experience | CRM |
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2023 | 2023 |
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Data Management Platform | CRM |
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2023 | 2023 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Tag Management | CRM |
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2018 | 2018 |
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Tag Management | CRM |
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2023 | 2023 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Digital Asset Management | Content Management |
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2016 | 2016 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2022 | 2022 |
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