Clinical Care

CognomIQ’s mission is to impact everyday clinical use and administrative practice resulting in individualized care at a speed that accelerates outcomes.

Designed to complement the EHR and to update in near real-time, CognomIQ’s user-facing tools make key patient data easier for healthcare providers to access during care delivery. Less hunting and pecking, more productivity

A Day in the Life of Personalized Medicine…

Tailoring medical care to an individual is difficult to do when your patient engagement, clinical, quality and demographic data is siloed and not available to end users in an actionable format. Achieve a more holistic approach based on unique genetic makeup, personal history, preferences and lifestyle that strengthens the patient-provider relationship.

Scenario 1

Physician receives an email from the NGS test center that a test ordered for their patient has been completed and the results are available.

Prior to CognomIQ

Time-Consuming Searching and Easy-to-Miss Information
Meanwhile, the physician’s office receives a fax that contains the genomic test results. Office staff either scan the email attachment or fax into the EHR where it is indexed for future retrieval.  In prep for the patient visit, the physician either visits the NGS test center’s customer portal to search on the patient’s results, or they go into the EHR, search for and select their patient, find the PDF in the chart, and visually scan the document for the data they seek.

After CognomIQ

Immediate Access to Robust Insight
CognomIQ receives the results directly from the testing center’s data feed and loads the genomic findings and reports. Physician visits the Genomic Results tool to view discrete test results as well as dig deeper into links containing additional findings. If the physician encounters an unfamiliar gene expression, the tool allows them to click deeper into the presentation to view more about the gene and alteration interpretations.

Scenario 2

Physician learns of a new medication on the market that targets a specific gene mutation. They would like to contact each of their patients who have tested positive for that mutation to schedule them to come in to discuss treatment options.

Prior to CognomIQ

Weeks to Months
Physician reaches out to his office staff to manually abstract which of his patients have that specific gene mutation. This task takes weeks to months to complete as staff must run a report on patients who have had the test ordered then go into the EHR, bring up each tested patient, locate the genomic results in PDF, and visually scan the document for the data they seek before they can add it to the list of patients to contact.

After CognomIQ

Same Day
Physician either launches the Patient Search tool, enters the gene mutation name and runs the query themselves to access the information immediately or submits an ad hoc ticket request to receive the report same day. The physician then forwards the report to their staff to schedule an office visit with each patient listed.

Scenario 3

Identify patients who may combat social determinants of health prior to their arrival using patient address location and public service data.  Early need identification allows care coordinators to connect patients with resources to increase well-being and improve health outcomes. Key strategies include informed care management, help with day-to-day securities, like housing, food and transportation, and targeted education.

Prior to CognomIQ

Upon each patient’s visit, clinical and social support staff must remember to inquire about potential social needs to ensure patient compliance with attendance, medications, appointment setting, and a healthy lifestyle. Staff rotation is common so opportunities to bridge a gap in food security, transportation or communication are easily missed as awareness is lost across the continuum of care coordination.

After CognomIQ

Using the ADI tool, CognomIQ matches area deprivation index (ADI) scores at a patient level and displays them in the schedule to inform and prepare clinicians, care coordinators and administrators of the potential need for social interventions prior to patient interaction and during trial recruitment. Examples of supportive measures include food security, transportation, housing, and access to ancillary clinical resources, like pharmacies.

Patient Insights

Treatment Journey is a visualization that helps clinicians understand how patients move through care over time. It’s designed to track treatments by disease, break therapies down by line of treatment, and capture changes along the way, like dose adjustments, medication switches, and documented reasons for those changes. This makes it easier for physicians and researchers to explore and compare longitudinal treatment patterns across patient groups.

Infusion Reactions is an interactive analytics and visualization dashboard built to help clinicians, researchers and quality administrators to explore data related to infusion-related adverse events.  CognomIQ supports the application of machine learning to:

  • Transform clinical data into actionable insights across reaction severity, medications administered, patient-reported symptoms, and intervention outcomes.
  • Assist with parsing non-discrete and semi-structured clinical data, helping surface relationships between reaction grades, patient complaints, medications given during reactions, and mitigation strategies, allowing users to focus on understanding how different factors interact in real-world infusion settings.

CognomIQ’s tools are windows into health system’s one source of truth.  While CognomIQ has a large number of tools available, more are being built every day to meet individual organizational needs.