For Health Systems & MSOs

Analytics infrastructure for health systems and practice networks.

Consolidated visibility into every affiliated practice — standardized metrics, daily EHR data refresh, and cross-practice benchmarking across the full network.

Harine Management builds analytics infrastructure for health systems and management services organizations that operate physician practice networks — connecting EHR data across every affiliated practice to a centralized Power BI dashboard with standardized, daily-updated metrics. System leadership gets consolidated visibility into volume, revenue, provider productivity, and operational performance across the full practice network without assembling reports manually.

The network visibility problem

Health systems that operate or acquire physician practices rarely have a clean, consolidated view of how those practices are actually performing. Each practice may run a different EHR or a different instance of the same platform. Each submits different spreadsheets to different administrators. And the system-level view is assembled monthly by someone reconciling inconsistent reports from sites that define the same metrics differently.

By the time network-level leadership sees the performance data, it is three to four weeks old, the metric definitions are inconsistent across practices, and there is no reliable way to identify which practices are underperforming or which operational patterns are driving the variance. Volume problems at an individual site are invisible until they show up in the network's quarterly revenue. Provider productivity gaps accumulate silently across the network until compensation review forces the conversation.

Harine Management builds the analytics infrastructure that connects every practice in the network to a single source of truth — standardized metric definitions, daily EHR data refresh, and cross-practice benchmarking on identical terms. Network leadership can see every practice, compare every site, and identify every underperformance gap from a single dashboard, without waiting for individual practice managers to submit their own reports.

What we build for health systems and MSOs

Cross-Practice Consolidation

One dashboard for the full practice network — same metric definitions, same daily refresh cadence, across every affiliated site regardless of which EHR each runs.

EHR Heterogeneity Support

Connect practices running Athenahealth, eClinicalWorks, or other EHR platforms to a single analytics layer — data is normalized to common definitions before it reaches the dashboard.

Provider Network Benchmarking

Every provider in the network compared against MGMA national benchmarks and internal network peers on wRVU productivity, new-to-established ratio, and revenue per visit.

Practice-Level Revenue Monitoring

Revenue cycle health by practice — collection rates, AR aging, and denial rates tracked at the individual site level so problems don't hide in network averages.

Standardized Network Reporting

Consistent reporting across all affiliated practices in the network — no more reconciling inconsistent spreadsheets submitted on different schedules by different practice managers.

Early-Warning KPI Alerts

Threshold alerts fire when any practice's key metrics deteriorate below defined targets — the system flags problems before the practice manager escalates them.

The standardization problem — and how we solve it

The hardest part of building analytics across a practice network is not extracting the data — it is defining metrics consistently enough that comparisons across sites are meaningful. A collection rate calculated from gross charges at one practice and from adjusted charges at another is not a valid comparison. wRVU productivity that includes administrative encounters at one site and excludes them at another cannot be benchmarked against MGMA data cleanly.

Harine Management builds each practice's analytics to a common schema — same metric definitions, same calculation logic, same EHR extraction methodology — so that the numbers that appear in the network dashboard are genuinely comparable. The standardization work happens at the data layer, not in the reporting layer, which means it is durable: when a new practice is added to the network, it adopts the same schema from day one rather than requiring a manual reconciliation effort.

Common wRVU calculation applied uniformly across all practices and EHR platforms
Consistent payer class mapping: commercial, Medicare, Medicaid, self-pay defined identically across the network
AR aging buckets calculated from the same date logic regardless of which EHR each site uses
Collection rate defined as net collections against adjusted charges — not gross — across all practices
Provider volume counted from completed encounters only — excluding cancelled and no-show appointments

Who we work with

Health systems operating employed physician practices

Systems that have acquired or employ physician practices across multiple specialties and locations and need consolidated performance visibility across the network without manual reporting from each site.

Management services organizations (MSOs)

MSOs that provide administrative, operational, or management services to independent physician practices and need centralized analytics infrastructure to monitor network performance and identify practice-level gaps.

Large practice management companies

Organizations that manage multiple physician group practices — often across different EHR platforms — and need standardized reporting that enables genuine apples-to-apples comparison across the portfolio.

Analytics infrastructure for health systems and practice networks.

The network visibility problem

What we build for health systems and MSOs

The standardization problem — and how we solve it

Who we work with

Services deployed across practice networks

Let's talk about your network.