Healthcare Analytics

Intellect

Industry Need

Health systems are increasingly facing cost, quality, safety, and reimbursement challenges that can be informed and addressed through the application of insights from healthcare analytics platforms that provide not just a view into the past, but can be predictive of the future. The increased adoption of electronic medical records, financial and supply chain systems, health information exchanges, and patient self-reported data provides the necessary yet insufficient data substrate to power these insights. Deloitte Consulting’s leading clinical information systems, revenue cycle and performance improvement practices, coupled with ConvergeHEALTH’s Intellect healthcare analytics solution helps health systems take advantage of these investments to improve clinical effectiveness and efficiency, lower the cost of services, increase patient satisfaction rates, align revenue with value, reduce unnecessary utilization and process variation, enable continuous improvement programs, and improve knowledge sharing and communication across functions.

Key Potential Benefits

The Intellect healthcare analytics product suite addresses key business issues health care providers grapple with—margin, cost, and quality. Our solutions include two major products, Health System Intellect and Revenue Intellect. These solutions do not replace underlying health information technology solutions. Rather, they leverage your data using healthcare advanced analytics tools to provide a broad view of information and actionable insights based upon our decades of experience transforming cost, revenue, and quality in health systems.

These solutions are architected to take users far past what traditional healthcare analytics solutions provide. Current solutions often provide a plethora of metrics and uncertain workflows that more often confuse the end users, making it almost impossible to allow teams across health systems to collaborate. Metrics are often siloed in specific systems thus creating measurement confusion across the health system as independent users wonder why measures from different systems vary, which measures are correct, how to construct dashboards for rapid decision-making and problem identification, and what metrics really make a difference.

Additionally, siloed healthcare analytics created across the enterprise are not ubiquitously available to the user and Key Performance Indicators (KPIs) and process level measures are rarely integrated, creating fragmented and disconnected decision-making. Our solutions take a user from hindsight through insight and foresight to create real impact by providing carefully chosen dashboards, KPIs, process level measures, alongside organizationally defined goals and benchmarks, and predictive measures to control variation in their health system. Connected to services and known approaches to manage cost, quality and revenue, our analytics solutions focus teams on measures, actions, and real team-oriented solutions.

Health System Intellect

Health System Intellect is a vendor agnostic, modular healthcare analytics solution that provides integrated views of clinical, operational, and financial performance at the KPI and process level to enable operational reporting and performance improvement. It is a seamless solution that blends into current architecture to provide a 360º view of clinical and performance data. The user has the ability to move easily between data from disparate source systems (financial decision support, EHR, general ledger, payroll, etc.). As opposed to replacing underlying health information technology solutions, our solutions are designed to leverage and fulfill the analytics in these systems allowing health systems to leverage their technology investments and quickly obtain the analytics needed for healthcare transformation.

Revenue Intellect

Revenue Intellect is a revenue cycle guided-analytics platform that is cloud-based and isolates, quantifies, and prioritizes revenue leakage sources, provides a deep dive into net revenue variance, estimates the proportion that is avoidable or recoverable and automatically identifies the drivers for net revenue variance. Its companion solution, Revenue ReAssure, identifies and tracks revenue variances, flags codes and/or departments/cost center/locations that have revenue and volume falling outside predefined tolerances and allows email notification of variance to departmental leaders or other stakeholders.

Finally, as organizations seek to enhance their knowledge by exploring the outcomes of their patients in a more research-focused setting they can leverage the Miner personalized medicine solution line. Those organizations interested in clinical research, identifying cohorts of patients for whom no known medical knowledge is available, identifying new therapeutic options, or participating in collaborative studies can utilize our integrated collaborative research analytic solutions. The Miner solution suite brings together the world of clinical effectiveness and clinical optimization research.

These analytics solutions provide state-of-the-art capabilities that were previously only available to those utilizing complex statistical software solutions. Our solutions enable a user to scan millions of lives of patient data to identify signals that can yield deep insights. They also provide propensity matched, statistically sound rich analytics that help pinpoint the subpopulation of patients for whom treatment interventions may yield better results. Outcomes that have been carefully curated with our collaborators are available to the user to help identify those interventions that have the biggest impact to specific outcomes of interest. Additionally, these tools can help researchers interested in genetic analysis by providing them a set of highly adopted analytics tools to identify genetics signatures that may be associated with phenotypes of interest. These deep data mining tools allow researchers to engage in collaborative research without ever having to exchange core data sets and provide sponsors the ability to work directly with health systems to enhance the quality of their research. The result of this “rapid learning system” where evidence can be in part facilitated with the Miner suite completes a cycle where knowledge is created and fed back into the health system, greatly enhancing the pace of discovery and adoption of health innovations.