Shifting market forces create an increasingly challenging environment for banks, credit unions, and other financial institutions. Numerous factors, including rising interest rates and intense competition are contributing to tightening margins.
Turn data into intelligence and elevated financial performance with Syntellis’ Axiom Intelligence analytics software, which empowers organizations to evaluate and visualize financial and operational data to identify trends, variances, and improvement opportunities.
While other performance management tools simply offer reports, Axiom Intelligence provides timely data and robust analytical and visualization capabilities for a comprehensive view into your business. To take full advantage of business analytics, you need answers at your fingertips, and Syntellis’ advanced tools generate actionable intelligence that finance leaders can use to inform financial management and improvement initiatives.
Single Source of Truth
Axiom seamlessly integrates data from any source into a single repository for planning and analysis, allowing you to leverage our innovative analytics and reporting tools to turn your data into actionable insights for enhanced decision-making.
Intuitive Reporting for All User Types
Axiom’s powerful web-based reporting environment supports visualizations, dashboards, ad hoc reports, and spreadsheet views — all within an easy-to-use interface.
Improve Efficiency, Maximize Resources
While other analytics solutions require in-house database experts, Axiom Intelligence allows you to easily connect data sources through modeling and generate, analyze, and disseminate reports. This reduces reliance on IT resources and eliminates the need to hire business intelligence (BI) experts or license third-party BI tools
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Performance management software tailor-made for the complexities of hospitals and health systems, backed by 30 years of industry experience
Strategy-based performance solutions for banks, credit unions and other financial institutions to model the future and make data-driven decisions
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Transform data into intelligence and drive better outcomes
The world is saturated with data. If properly leveraged, data can reveal answers to many important questions. It can drive improvements across numerous industries, yet much of the data available today goes untapped. A decision support system (DSS) or decision support tool is designed to pull relevant data from multiple internal and external sources, analyze the data, and translate the findings into meaningful information that helps stakeholders make better decisions.
An effective decision support system structures data with flexible reporting and analysis tools that make the data more accessible and consumable. It helps leaders quantify the potential impacts of different decisions. Information gleaned from a decision support system can help entities determine strengths, weaknesses, and opportunities for improvement.
Sound decisions start with reliable data. The purpose of a decision support system is to use data to provide transparency and clarity into a certain topic so leaders can make streamlined, data-based decisions that align with individual or organizational goals. The system takes data from disparate sources and puts it in a usable format to help leaders better understand the many factors affecting performance — financial, operational, or otherwise — and how they interact to drive specific outcomes.
A decision support system is important because it creates a single source of truth and a central repository for aggregating data, compiling reports, and making reasoned, data-driven decisions. It provides transparency into both the data and the overall decision-making process, which is a necessity in an environment where organizational decisions, costs, and the quality of services or products face mounting scrutiny across many industries. Decision support systems also are important post-decision, because they enable entities to better view and track progress toward organizational goals over time.
Hospitals are complex, multi-faceted organizations with many levels of decision-makers, including managers, directors, executives, and more. At a fundamental level, some of the different types of decision-making in hospitals include:
Decision support in healthcare is a critical tool that helps healthcare leaders, clinicians, and other healthcare professionals sift through a large amount of data and analyze relevant data points to make important decisions. Hospital decision support is an information cornerstone in healthcare, helping to guide data-driven decisions across nearly all hospital and health system functions, including clinical, financial, and operational considerations.
With healthcare data available from an ever-wider range of internal and external sources, technology can provide solutions to data-gathering and aggregation challenges. Decision support systems help hospitals, health systems, and other healthcare providers harness their data to drive better decision-making amid changing market conditions. A decision support system in healthcare helps organizations quantify the impact of every decision they make across different departments by collating, calculating, and extrapolating data in a way that stakeholders can readily utilize.
Data is the lifeblood of every hospital and health system. A decision support system or “DSS system” is used in a hospital to facilitate timely and accurate data-driven decision-making, and to bring transparency and visibility to clinical, financial, and operational decisions. By leveraging data, healthcare decision support systems provide analytics that can help healthcare leaders determine the best ways to reduce rapidly rising healthcare costs, improve efficiencies, enhance patient safety, improve patient care, and achieve better patient outcomes.
Rising costs and the focus on value-based care continues to increase the demand for robust analytics to guide a broad spectrum of healthcare decisions. Decision support systems are critical, connecting organizational data with core planning solutions and external market data to give hospital leaders a comprehensive view of performance across cost, quality, and service line measures.
The primary types of decision support in healthcare are:
Healthcare financial decision support is focused on helping hospital executives, department managers, and other healthcare leaders determine how best to manage their organizations. Healthcare financial decision support software aggregates and analyzes data from a variety of sources so leaders can make informed, data-driven decisions on how to maximize efficiencies, reduce costs, optimize revenue, and position their organizations for growth. For example, a financial decision support system applies cost data to department operations to support budgeting, productivity, and performance monitoring. It also can provide data for assessing service-line profitability, performing health plan analyses, and quantifying the cost of quality.
Clinical decision support is a core component of ensuring high quality patient care at the bedside. A clinical decision support system provides data and analytics to help physicians, advanced practice nurses, and other caregivers more accurately diagnose patient conditions and identify the best treatments. Clinical decision support systems sort through large amounts of data from electronic health records (EHRs) and other sources to help clinicians as they provide patient care in real time. The goal of a clinical decision support system is to help avoid adverse events and enhance the quality, effectiveness, and efficiency of care. For example, it can help a physician link symptoms to a specific diagnosis, determine an appropriate medication dosage, and avoid harmful medication interactions.
Clinical analytics refers to a type of healthcare decision support that takes a more comprehensive view of care delivery within an organization, as opposed to clinical decision support which focuses on care decisions for individual patients. With clinical analytics, healthcare executives and clinical and finance leaders can compare their organization’s clinical data to peer organizations to gauge performance down to specific departments or service lines. It allows them to establish an accurate picture of costs and utilization at the encounter level, then perform meaningful analysis across various patient cohorts or clinical service lines. These insights are then used to make vital decisions such as how to reduce unwarranted and often costly variations in care, enhance care coordination, and track and improve workforce productivity.
RESOURCES
Hospitals, health systems, and other healthcare providers nationwide are under immense pressure to reduce expenses in today’s age of inflation and high labor costs fueled by widespread workforce shortages.
In addition to implementing effective strategies for long-term change, healthcare organizations must remain agile and able to respond quickly to sudden market shifts in the near term. Having reliable data, healthcare analytics, and business intelligence are essential to both.
Organizations manage massive amounts of data, which often comes from disparate source systems that don’t always connect to each other. This makes it difficult for finance teams to make data-driven decisions quickly.
Syntellis’ latest innovation, Axiom™ Visual Insights, empowers organizations to easily combine complex and disparate data sets and provides self-service tools to create timely, dynamic visualizations.
In this webinar, attendees will learn more about the benefits of Axiom Visual Insights, including:
In healthcare, ongoing professional practice evaluation (OPPE) is a process that reviews and assesses a provider’s performance over a period of time. OPPE can be used to determine whether a provider maintains their privileges at a healthcare facility or remain on staff, as well as monitor performance and identify trends or issues that could adversely impact patient outcomes.
OPPE requirements are determined by The Joint Commission (TJC), which recommends healthcare organizations use a well-designed process that supports early detection and response to performance issues that could negatively impact patient outcomes. A well-designed OPPE process incorporates both qualitative and quantitative data.
TJC originally coined the term OPPE, but other accreditation organizations may require a similar reporting process to assess physicians’ abilities to maintain their privileges and continue to practice in a particular facility.
In addition to OPPE, The Joint Commission also requires healthcare organizations to complete focused professional practice evaluation (FPPE). While OPPE reviews a physician’s performance over a period of many months, FPPE is a snapshot of a provider’s performance at a moment in time.
FPPE is required to grant privileges to new applicants or to authorize new requests for existing providers. The process can also be used for further evaluation if OPPE reveals a potential issue around a provider’s ability to provide safe, quality patient care.
Organizations that are accredited by TJC must meet FPPE and OPPE requirements to grant privileges to providers. According to The Joint Commission’s OPPE standards, the reappointment/re-privileging process must be completed every two years.
TJC specifies that the healthcare organization can define the frequency of OPPE data collection, but the timeframe for the review cannot exceed every 12 months. However, many organizations find this to be too infrequent and prefer to perform OPPE reviews every four to six months.
Syntellis’ Axiom™ Clinical Analytics features ongoing professional practice evaluation (OPPE) reporting to help hospitals and health systems support a continuous reporting cycle for privileging, credentialing, peer review, and clinical improvement.
1. How does physician privileging work?
OPPE Reporting allows your organization to perform systematic measurement, evaluation, and follow-through to support compliance and maintain hospital accreditation. Axiom Clinical Analytics supports effective ongoing professional practice evaluation (OPPE) to identify physicians who might not be achieving quality-of-care standards and focused professional practice evaluation (FPPE) to monitor physicians identified by OPPE.
2. How does Clinical Analytics support OPPE credentialing requirements?
You can vet physician competence and practice history through performance reporting to meet OPPE credentialing requirements and support physician recredentialing as needed. Complete credentialing to comply with state regulations and payer requirements.
3. How can peer reviews improve quality?
By aggregating data for agreed-upon OPPE metrics in the current period and over time, you can use peer reviews to analyze technical and service quality, patient safety, and resource utilization. Data can be reported to your medical executive committee, which interprets the data and makes recommendations to the Board of Trustees.
4. How can OPPE improve clinical outcomes?
OPPE Reporting provides a continuous feedback loop for key process and outcome measures, adjusted for severity and risk. Reporting cascades through the system, hospital, service line, department, clinical unit, physician, and patient levels, graphically displaying calls to action.
5. Does OPPE include both inpatient and outpatient reporting?
Of course! Axiom’s OPPE Reporting supports reporting needs with two primary areas of functionality: comprehensive inpatient and outpatient reporting and physician attribution reporting. Click here to review a sample report.
Axiom’s reporting capabilities enable organizations to enhance and streamline their physician reporting process. Users can create reports based on inpatient and outpatient data for individual physicians and physician groups using a balanced set of measures — patient safety, quality, patient satisfaction, utilization, and cost — in addition to other OPPE metrics, such as patient complaints and delinquent histories and physicals (H&Ps).
Axiom Clinical Analytics Inpatient and Outpatient Reporting can include 17 analytics, such as physician volumes, procedure counts, and outcome visualizations. Axiom Clinical Analytics users can also electronically create, distribute, and review custom physician reports within the application, modifying report profiles, use of benchmarks, selected measures, and more.
6. How efficient is OPPE Reporting?
Users can create reports on a preselected schedule using automated scheduling functionality, electronically routing reports through a hierarchy of reviewers — based on parameters such as time period, physician or physician group, and physician role — where each reviewer can complete standardized reviews, annotations, and sign-offs. User-specific permissions allow for security across the application.
7. Can physicians access their reports?
With Axiom Clinical Analytics, physicians can explore their own OPPE reports and drill down into their cases through dynamic physician scorecards and interactive dashboards. Physician scorecards and dashboards provide data based on the user’s role. Administrators can manage and track all reporting, including in-progress workflows and completed workflows, and report reviewers can see their own user-specific pending and completed reviews.
8. Can physician contribution be measured?
Axiom Clinical Analytics’ powerful physician attribution algorithm works to identify an attributed physician who made the largest contribution to each encounter’s outcomes of care. The attributed physician for each encounter is defined through a rule-based hierarchy that looks at data elements including cost, orders, ordering physician, diagnostic and procedural coding, and diagnosis-related group (DRG). Click here to learn more.
System logic helps prioritize certain charges, such as operating room charges and charges based on the DRG.
Axiom software describes how the attributed physician was selected, with user-override capabilities, and further identifies physicians with the highest charges and highest number of orders by encounter.
Schedule a demo to see how Clinical Analytics can streamline OPPE and FPPE reporting, as well as enable data-based decisions throughout your organization.
MORE HEALTHCARE RESOURCES
Healthcare organizations manage massive amounts of data, which often comes from disparate source systems that don’t always connect to each other. This makes it difficult for finance teams to make data-driven decisions quickly.
Syntellis’ latest innovation, Axiom™ Visual Insights, empowers organizations to easily combine complex and disparate data sets and provides self-service tools to create timely, dynamic visualizations.
CHICAGO – November 1, 2022 – Syntellis Performance Solutions, the leading provider of enterprise performance management software, data and intelligence solutions, today announced the launch of Focus Pathway — a robust claims visualization platform that transforms healthcare claims data into actionable intelligence. Focus Pathway is a solution by Stratasan — a company that Syntellis recently acquired.
