Infection Control

A 400 bed hospital improved effectiveness of their CAUTI prevention program by 18%, reducing patient suffering and saving more than $1.2 in revenues

Control Infection Risk for the Whole Patient

Do More Good with Less

Every provider is trying to do more with less. And when it comes to infection control programs, many are struggling to balance cost and resources with program goals.

Across the nation, there is significant variation in the effectiveness of infection control programs (Stone, et al. 2014). This is in large part due to understaffed infection preventionists, inconsistent policies, underutilized technologies, and a lack of clinician adherence to infection prevention policies. Taken together, these trends along with heavy resource constraints add up to missed prevention opportunities, patient deterioration, and a hard hit to a provider's bottom line.

Using Jvion's solution infection control program outputs, hospitals can better allocate infection prevention efforts and target them down to the patient and physician

There is a Better Way

Using Jvion's Cognitive Clinical Success Machine, we can see the future state of each patient within a provider's walls and pin point those who are at an increased risk of infection or adverse event. And we extend this vision to deliver the recommended actions that will deliver the best health outcome for an individual patient. Using our machine, providers are pin-pointing, with unmatched precision, the patients who are at risk; prioritizing activities to stop potential infections; and applying Jvion's recommended actions to achieve drastic infection control goals.

The cognitive machine that manages and produces our clinical predictions and recommendations is exponentially more powerful than common predictive solutions. In fact, these solutions can only produce what the Jvion machine does in just one of our more than 150 thousand self-learning spheres. Because of this power, our machine can see the entire patient including the exogenous factors such as socioeconomic status, behavioral variables, and environmental elements that impact health. What we deliver is a full, precise, and high-resolution portrait of the future patient that enables the exact actions to reduce risk and improve health.

Providers take this information and use it to better focus their efforts and resources, and apply our recommendations to most effectively reduce the probability that someone will get an infection. And they are using the tool across care settings including high-risk transition points to drive better health outcomes across the entire episode of care.


Infection Control – Topic Deep Dive

Healthcare-Associated Infections (HAIs) are cited by the World Health Organization (WHO) as a critical public health problem because of the impact that HAIs have on morbidity and mortality around the world. The most common global HAIs include infections of surgical wounds, the blood stream, the urinary tract, and the lower respiratory tract.

In addition to the most common infections, diseases including severe acute respiratory syndrome (SARS), viral hemorrhagic fevers such as Ebola, avian influenza, and pandemic influenza have placed special focus on the ability of providers to stop the spread of outbreaks within the facility and out into the community. Adding to the complexity is the emergence of antibiotic resistance that has created "super-bugs," which are difficult to treat and manage. This is critically important for hospitals that may act as "permanent reservoirs" of resistant bacteria.

Did you know? On any given day, approximately 1 in 25 hospital patients has a healthcare associated infection (HAI).

Within the United States, HAIs are estimated to impact close to 1M people per year according to a 2011 Centers for Disease Control and Prevention (CDC) report. The infections break down to:

  • Pneumonia: 157,500
  • Gastrointestinal Illness: 123,100
  • Urinary Tract Infections: 93,300
  • Primary Blood Stream Infections: 71,900
  • Surgical Site Infections: 157,500
  • Other Types of Infections: 118,500

A recent CDC study found that on any given day, approximately 1 in 25 hospital patients has an HAI. Moreover, about 75,000 patients with an HAI died while in the hospital.

In 2008, the Federal Steering Committee for the Prevention of Health Care-Associated Infections was established.

This group includes individuals from the Department of Health and Human Services, U.S. Department of Defense, U.S. Department of Labor, and U.S. Department of Veterans Affairs. This group developed The National Action Plan to Prevent Health Care-Associated Infections: Road Map to Elimination in 2009. This plan provides a framework and direction on how to eliminate HAIs within acute care settings, outpatient settings, and long-term care facilities.

Additionally, the Partnership for Patients program was established under the Centers for Medicare & Medicaid Services (CMS). This program is aimed at driving public-private partnerships to reduce HAIs and readmissions. Twenty-six organizations are working with more than 3,700 hospitals to meet target reduction levels over the next three years.

References

Core components for infection prevention and control programmes Infection Prevention and Control in Health Care Informal Network Report of the Second Meeting, 26 - 27 June 2008, Geneva, Switzerland: http://apps.who.int/iris/bitstream/10665/69982/1/WHO_HSE_EPR_2009.1_eng.pdf

Centers for Disease Control and Prevention: Healthcare-associates Infections (HAIs): http://www.cdc.gov/HAI/surveillance/index.html

Multistate Point-Prevalence Survey of Health Care–Associated Infections; The New England Journal of Medicine: http://www.nejm.org/doi/full/10.1056/NEJMoa1306801

Office of Disease Prevention and Health Promotion; National Action Plan to Prevent Health Care-Associated Infections Road Map to Elimination: http://www.health.gov/hai/prevent_hai.asp

Stone, P, et al. "State of infection prevention in US hospitals enrolled in the National Health and Safety Network." American Journal of Infection Control 42, no. 2 (2014): 94-99.

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