Analytics: Products – June 2017

Industry studies have found that many care teams feel unprepared for the transition to value-based care. A recent survey of provider organizations conducted by the Healthcare Information and Management Systems Society showed that only 3% of respondents believe their organization is highly prepared to make the pay-for-value transition. In addition, research from the Healthcare Financial Management Association found that nearly 40% of survey respondents did not believe that their organizations currently possess capabilities rated as extremely important to succeed in risk-based value arrangements, such as interoperability, business intelligence, and real-time data access.

Transcend Insights’ Anvita Engine, in addition to its enterprise health information exchange, data warehouse, and FHIR API, are at the core of its plug-and-play platform, HealthLogix. Living above the silos that keep people and information apart, the company’s technology platform connects care teams with the people they serve for better care and healthier lives.
Transcend Insights

Healthcare organizations adopt Tableau for measurable value

Tableau, a business analytics software company, announced the addition of several healthcare organizations and hospital systems to its growing list of healthcare customers. New customers included Memorial Sloan Kettering Cancer Center, NYU Langone Medical Center, and Glendale Adventist Medical Center.

Healthcare providers have deployed self-service data discovery and visual analytics from Tableau to improve their healthcare knowledge workers with actionable insights enabling better patient outcomes including the following:

• NorthShore University HealthSystem leveraged integrated dashboards to identify actionable insights that enabled the organization to proactively detect high-risk patients in need of care coordination and thus reduce 30-day patient readmission rates. These insights were accomplished by mining the clinical and administrative data maintained by NorthShore and integrating the results back into the EMR workflows for physician, clinician, and case manager intervention.
• Michigan Medicine has implemented Tableau to gain visibility into its revenue cycle management processes. The new initiative has seen significant benefits, including $3MM in funds recovered from payers and more than 10,000 hours saved through increased productivity on charge estimation, recovery audit contractor audits, automating cash reconciliation and relative value units reporting.
• Stamford Health, a not-for-profit healthcare system in Connecticut consisting of a new 640,000 square foot hospital, a large outpatient facility, and several ambulatory locations in their network, deployed self-service visual analytics from Tableau across the enterprise to power clinical, operational, and financial business processes. They have saved almost $500K in redundant software and outsourced consulting services, have reduced routine reports turnaround time from four to five weeks to less than three days and have delivered $3MM in value and expect additional potential savings and cost avoidance through the usage of advanced analytics. Tableau

Jvion’s Cognitive Clinical Success Machine

Cognitive clinical science company Jvion rolled out the latest release of the company’s Cognitive Clinical Success Machine. This version of the leading cognitive clinical software includes new full-spectrum clinical success application vectors that take advantage of the ultra-definition patient view rendered by the appliance. These new vectors offer a way for providers to bundle target illnesses and conditions across specialties to drive more value and effectiveness through each individual episode of care.

The solution, which uses advanced self-learning clinical Eigen Sphere technology to determine the positive effective impact for each individual patient in a population, is helping hospitals and clinics. Jvion’s Cognitive Clinical Success Machine leverages the massive set of complex, incomplete, and volatile healthcare data to deliver an ultradefinition, patient-specific view of predispositions, risks, and interventions in real time. This view accounts for the clinical and exogenous factors that impact a patient’s health to enable the most effective clinical action. The machine’s full-spectrum clinical success vectors will help providers across key specialties including cardiac surgery, cardiology, dermatology, endocrinology, gastro intestinal surgery, gastroenterology, hematology, infectious diseases, nephrology, neurology, neurosurgery, orthopedics, and pulmonology. Jvion

South Central Ambulance Service gets to patients more efficiently with Qlik

Qlik, a visual analytics company, announced the South Central Ambulance Service NHS Foundation Trust (SCAS) is using Qlik Sense and QlikView across the organization to visualize its data for better understanding of where its ambulances are and need to be at any given time. Bringing the reality to life by visualizing vehicles on maps on screens within its command centers, the trust has a more accurate view of vehicle performance and locations, helping it to identify where improvements can be made to get its patients crucial care more efficiently.

From 78 sites serving Berkshire, Buckinghamshire, Hampshire, and Oxfordshire, SCAS was formed in 2006 following a merger of four ambulance trusts. An emergency operations organization with 3,000 staff serving more than 4.6 million people, the Trust has three main functions: emergency response to 999 calls, providing help for NHS 111 calls, and running the non-emergency patient transport service. The trust handles around 1.75 million calls per year and collects data on all ‘jobs’ from the moment the call comes into the control center, how it is handled, where each of its 607 ambulances is going, the time it takes to get to patients, and time it takes to get to the hospital.

Under contractual obligation with 16 hospitals in the local area to show all functions are meeting government requirements, SCAS’s Business Intelligence (BI) team is using Qlik NPrinting to pull the required reports together—a task that used to take two and a half hours a day but now takes five minutes. With the time saved, the team now has the capacity to analyze these reports and other data for insights that help to support colleagues and provide higher quality services.

Previously only accessible by the BI team, the trust wanted to put data into the hands of colleagues across the organization. Staff from each team have access to the latest information themselves through Qlik and can see how SCAS is performing directly—without asking the BI team to pull reports for them. Trust executives now have high-level information to review performance against national standards and operations while directors can measure variation across the organization. Area managers and team leaders meanwhile can drill down into the performance of a team of staff. Most recently, the trust, continuing its relationship with Qlik Elite Solution Provider Differentia Consulting, purchased Qlik Sense and has built a vehicle performance and monitoring app, which the board can use to see the data represented as visually as possible. The app brings to life the trust’s data, with vehicle view maps showing, in real time, the location of each ambulance, including specialist resources. These maps are displayed on screens in offices so the operations team can decide which vehicle to dispatch based on location, availability, and suitability to patient needs. Qlik

Machine-learning-enabled analytics

Applying machine learning techniques to more than 100M patient records from 23 different data sources, the CareSkore Zeus predictive analytics engine delivers accuracy in measuring relevant risks on a per-patient basis.

Most risk analytics tools limit themselves to claims data, which are incomplete and delayed. The others add in clinical (EHR) records, which give a bit more predictive accuracy. Zeus incorporates claims, clinical, and a broad range of social determinants, like whether a patient drives a car, lives alone, is married, or is employed, to create a much clearer picture of patient risk. Risks measured and analyzed include no-shows/cancellations, medication non-adherence, sepsis, chance of falls, and mortality.

Zeus generates real-time predictive and prescriptive analytics, continuously updating a patient’s risk measures per encounter via HL7 integration with the EHR. It is available both as a SaaS tool and as population health management as a service (PHMaaS), which acts as a back-end tool to feed risk analytics to the EHR that can be viewed from within the EHR app.

Zeus integrates with CareSkore’s AI-enhanced Iris patient engagement platform to deliver end-to-end, real-time personalized population health management. Effectively managing post-acute-care and chronic-care patients requires a deep understanding of the risks facing each patient so that preemptive actions can be taken to mitigate them. The integration of machine learning for risk stratification and AI for patient engagement delivers end-to end population health management. The result is a stronger involvement of each patient in their own care, fostering much stronger clinical and financial outcomes.
CareSkore