What Do We Sell?

Personalizing Evidence and Improving Outcomes

Our predictive content solutions allow healthcare organizations to personalize evidence for virtually any care process . . . one patient at a time.

Whether the goal is to reduce incidence of complications, mortalities or readmissions; ensure appropriate use of therapies; or instantiate a culture of patient shared decision-making, our predictive content solutions are a highly effective means to improve outcomes and achieve clinical transformation.

We adhere to four primary tenets for all predictive content: (1) published and peer reviewed; (2) validated and proven reliable; (3) actionable for decision support; and (4) adaptable to clinical workflow.

The A to Z of Content Domains

We maintain a large library of predictive content solutions, which can be culled around any one or more domains.

Examples of domains include:

  • Areas of specialty, such as cardiovascular, oncology, orthopaedics, obstetrics, gastroenterology and primary care.
  • Procedures, therapies and modalities, such as angioplasty, total joint replacement, breast MRI, chemotherapy, dialysis, open heart surgery, peripheral vascular intervention and transcatheter aortic valve implantation.
  • Systemic concerns, such as appropriate use, unplanned readmissions, mortality, hospital-acquired conditions and chronic disease.
  • Clinical settings, such as cath lab, arrhythmia clinic, emergency department, ambulatory surgery center, physician office, imaging center and long-term care facility.
  • Methods of care delivery, such as home health, telehealth, medical tourism and concierge medicine.
  • Allied technologies, such as mobile monitoring and algorithm-driven medical devices.

Facilitating the Intersection of Research and Practice

Myriad scientific models have been developed by researchers around the world, but existing enterprise solutions for EHR, population health, business intelligence, EDW and analytics are not structured to deploy them. ePRISM® is unique in its ability to translate scientific models into automated predictive content solutions that are personalized to the individual patient and actionable for decision support within the flow of care.

At the core of all our predictive content solutions are one or more scientific models, and wrapped around the core is a tapestry of interwoven components, as illustrated below.

Each of the interwoven components contributes to the means for operationalizing use of personalized evidence, which drive healthcare organizations to elevate their standards of care delivery from prescriptive medicine based on characteristics of the average patient to precision medicine based on characteristics of the individual patient.


Visual Display

The predictive measurements computed by a content solution may be incorporated to a customized web page or electronic document; and through eLUMEN™, multiple predictive measurements may be visualized on a single screen.


System Interfaces

Data needed to execute a content solution may be acquired and synthesized via real-time or batch interfaces from any number of systems, such as EHR, lab, ADT, hemodynamic, EDW or the like.


Technology Integration

A content solution may be fully integrated to an allied technology platform, such as Epic, McKesson or Cerner, allowing clinicians and other care team members to access predictive measurements adjacent to other patient-centric information.


Standard Dashboards

Every content solution includes a rich array of quality, performance, utilization and outcomes dashboards that are graphical in nature and may be filtered by date range, site, clinician and other relevant variables.


Patient-Facing Documents

Patient-facing documents such as educational materials, letters, care plan summaries, consent forms and discharge instructions may be augmented with predictive measurements, descriptive narratives and illustrative imagery.


Input/Output Summary

A consolidated summary of content solution inputs and outputs (i.e., outcome determinants and predictive measurements, respectively) is available for recordkeeping and archival, and may be distributed to discrete fields or locations within a separate, compatible system, such as an EHR or EDW.


Standard Reports

Every content solution includes a rich array of quality, performance, utilization and outcomes reports that are data-intensive in nature and may be filtered by date range, site, clinician and other relevant variables.


Best Practices

Our engagement team offers representative samples of use cases and best practices for seamlessly adapting a content solution to routine clinical workflows and achieving maximal impact with minimal disruption.


Real-Time Automated Processing Within Routine Clinical Workflows

Predictive content solutions are designed for real-time automated processing within routine clinical workflows, allowing clinicians and other care team members to gain personalized, evidence-based insights not available from standard guidelines and orders sets.

From a proposed therapy to outcomes analytics, our predictive content solutions address a comprehensive lifecycle, as illustrated below.

Meet Larry, a 63-year-old construction foreman recently diagnosed with ischemic heart disease. Larry has been experiencing chronic stable angina.

Step 1 – Proposed Therapy

Larry’s cardiologist proposes percutaneous coronary intervention (PCI).

Step 2 – Model Execution

A member of Larry’s care team selects a content solutions suite specifically for PCI:

  • risk of bleeding
  • risk of acute kidney injury
  • risk of in-hospital mortality
  • risk of restenosis
  • risk of unplanned readmission within 30 days
  • appropriate use of coronary revascularization
  • comparative effectiveness of medical management, PCI and coronary artery bypass surgery

Step 3 – Data Capture

Data input variables needed by underlying scientific models are captured in an automated and non-redundant fashion via interfaces to ADT, EHR, lab and hemodynamic systems.

Step 4 – Predictive Measurements

Larry’s care team has instantaneous access to several predictive measurements, including risk calculations, appropriate use classification, contrast sensitivity levels, and comparative effectiveness probabilities consistent with the afore-mentioned PCI content solutions suite.

Step 5 – Output Visualization

No matter the setting, Larry’s care team can utilize virtually any type of device to access visual outputs of the PCI content solutions suite, whether a desktop monitor, laptop, tablet, iPAD, smartphone or cath lab boom. If the ePRISM® platform has been integrated to an EHR or other network system, Larry’s care team may access the visual outputs while logged in to a broader patient record.

Step 6 – Shared Decision-Making

Larry’s cardiologist is able to mitigate risks and avoid unnecessary costs through better, more informed decisions, such as bivalirudin or heparin, inpatient or outpatient, use of a closure device, level of contrast, radial or femoral entry, bare metal or drug-eluting stent, optimal sheath size, hydration therapy, procedure staging, and postponement of non-cardiac therapies.

As importantly, Larry and his family are able to participate in a meaningful process of shared decision-making through review of a specially-constructed, personalized consent form generated by ePRISM®. Graphically rich, written at an 8th-grade reading level and void of legalese, the consent form is proven to foster a deeper understanding of PCI and its risks while enhancing overall patient satisfaction and peace of mind.

Step 7 – Outcomes Analytics

With access to a comprehensive package of quality, performance, utilization and outcomes analytics, stakeholders are able to gauge the clinical and financial impact of using the PCI content solutions suite.

Step 8 – Performance Improvement

Adoption of the PCI content solutions suite and optimal use of predictive measurements by Larry’s care team takes a concerted effort. Ongoing performance improvement initiatives are essential to success . . . setting the right expectations, providing education and instruction, creating and modifying protocols, monitoring adherence, and exercising corrective action when needed.