Blood UtilizationFebruary 25, 2018
Prevent Pain and Organisms from Skin and Catheter Entry and Radiology
Every time a line, drain, tube or airway (LDA) is placed in a patient, every time blood is drawn from a patient, every time medication is administered to a patient, there is increased risk for hospital acquired infections, increased pain to the patient, and increased opportunity for blood loss. These are all considered POKE-R events and they can greatly reduce clinical outcomes and impact patient experience.
POKE-R events increase risk of hospital acquired infections and anemia*. As a result, this has adverse effects on Length of Stay and increased readmissions. All POKE-R events may not be clinically required, cost of care increases and quality of care is impacted. Pediatric patients are especially vulnerable to blood loss (anemia) and radiation.
Our configurable solution help organizations decide and customize events based on what is considered meaningful, invasive, and painful. Aligns with performance improvement initiatives, thus improving patient experience.
POKE-R analytics, when embedded within EHR, provides flexibility to physicians, specialists and nurses - prior to and during rounds - on optimizing clinical care.
POKE-R is a methodology of delivering clinical care that improves patient safety and experience. There is a strong clinical need to produce the necessary data
to optimize clinical care and minimize patient intrusion.
POKE-R encompasses a wide variety of health system and hospital activities including:
- Line, Drains, and Airways
- Medication Administration
- Specimen Collection
- Invasive Procedures
Benefits of Fusion Solution include:
- Identify clinical events that are POKE-R events.
Supports ability to analyze and reduce number of POKE-R invasions performed.
- View POKE-R events in front end reports and patient's charts. Improve Patient Outcomes, Satisfaction, and Clinical
Patient Cohort - Applicable to all hospital patients inpatient or outpatient, but most useful for patient encounters in critical care units including adult, PICU and NICU
Step 1: Assess
- Collaboratively set goals and objectives to deliver required outcomes for finalization for the program.
- Identify and assess criteria for calculating a Return on Investment for the program.
Step 2: Examine and analyze approximately 40 data points
- Workflows analysis for data points include – clinical documentation, flowsheets, Best Practice Alerts, Medication Administrations, Navigators, Smart forms, ADT
- Identify discrete data points to examine for data inconsistencies.
- Optimize the workflow for process improvement based on Best Practices.
- Define the necessary documentation standards to reduce data inconsistencies.
- Order sets and groups to provide for the right care at the right time.
Step 3: Orchestrate, Blend & Synthesize
- Coordinate EHR optimization to help Physicians, Specialists, Care Providers and Care Mangers.
- Enable & organize to unlock the current data infrastructure based on data elements to implement a governed approach to analytics based on established project/program objectives and goals
Step 4: Optimize (user behavior analytics from above icon group)
- Help validate the workflows and train end users during the acceptance and transitory phase to help drive adoption.
- Suggest and recommend further refinement, if needed, based on specific organizational needs.
Step 5: Adopt
- Provide Visualizations from extended data analytics infrastructure to help sponsors and committees drive the outcome objectives and goals.
- Provide analytics for Clinical Efficiency teams to help derive the most value from adherence to shared baseline protocols (clinical guidelines for acute or chronic disease management), if applicable
Return On Investment from Fusion Solution
- Loma Linda Children's
Hospital implemented POKE-R Analytics and documented a 5 year cost savings of $11.1M. This success has prompted rolling out POKE-R program to 260 beds.
- Savings are projected to increase significantly with more patients and beds having access
to POKE-R analytics.