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Sepsis is one of the leading causes of death worldwide, and I’ve seen firsthand how delays in early recognition cost lives. I took on a challenge testing in two different healthcare facilities—one, a large hospital in Edinburg, TX, where I still work, and another, a nursing home in Carlsbad, NM. Both had high-risk patients, and both needed profound changes in how sepsis was handled. The integration of technology, like Cerner and informatics teams, in sepsis detection offers opportunities for advanced technological solutions like predictive analytics, once two Sir’s are identified the system alerts the nurse and provider. Technology evolves predictions based on patient data, vital signs, lab results, and become more precise at identifying septic patients before overt symptoms arise. Early detection for symptoms like SIRS, systemic inflammatory response, would trigger two abnormal results specifically, on organ dysfunction. Either an elevated heart rate over ninety, temperature above 100.9, evaluated white blood cell count over 12,000 or below 4,000, and the sepsis team is alerted to respond and aid the nurse and Dr. in early identification, documentation, and follow the patient through the hospital stay.

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It's Beginning to Look a Lot Like Sepsis | A ZDoggMD Christmas Song

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You must ask yourself. Do the risks outweigh the benefits in fluid challenge?

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CMS guidelines change every quarter. Continues education is required.

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1. Improved Patient Outcomes

Faster Diagnosis: AI models can analyze vast amounts of patient data in real-time, enabling quicker identification of sepsis symptoms.

Early Intervention: Prompt detection allows for early administration of antibiotics and supportive care, which is critical for survival.

Reduced Mortality: Studies have shown that early recognition of sepsis is associated with significantly lower mortality rates.

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1. False Positives and False Negatives

False Positives: AI might flag non-septic patients, leading to unnecessary treatments (e.g., antibiotics), increased costs, and antimicrobial resistance.

False Negatives: Missing true sepsis cases can be dangerous and erode trust in the system.

2. Data Quality and Bias

AI performance depends heavily on the quality, completeness, and representativeness of training data.

Biases in data (e.g., underrepresentation of certain populations) can lead to inaccurate predictions for specific patient groups.

3. Interpretability Issues

Many AI models, especially deep learning, are often described as “black boxes.”

Lack of transparency can make it difficult for clinicians to trust or understand the reasoning behind alerts or predictions.

4. Integration Challenges

Integrating AI into existing Electronic Health Record (EHR) systems can be technically complex and costly.

Workflow disruption and clinician resistance can hinder adoption.

5. Alert Fatigue

Too many non-specific alerts can overwhelm healthcare providers, leading to desensitization or ignoring of potentially important warnings.

6. Over-Reliance on Technology

There's a risk of clinicians becoming over-reliant on AI tools and under-utilizing their clinical judgment.

AI should support, not replace, human decision-making.

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(Meet the Sepsis team)

Early detection exceeds the benefits. The purpose is to recognize early intervention to save more lives. This is a subject I love! I educated and personally accessed and fixed in two different healthcare facilities. One being in my hometown, where I still work, Edinburg TX, a hospital with over 350 beds. The second with our most fragile population, a nursing home with 188 beds in New Mexico, The concept works to detect early interventions on pts presenting with Severe Sepsis or Septic Shock

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1. Individualization- I appreciate the uniqueness in each person I meet. I can teach and educate depending on the uniqueness of the individual. I can evaluate and see patterns. Love to see everyone succeed .

2. Strategic- I Always Have At least three options in mind so I can adapt if circumstances change. Everything has a solution I always say. I always look at the positive side. What has been successful to me is having an open mind, and able to see different point of views to see the problem they see, then finding a solution.

3. Achiever- I bring motivation to get things done. I don't know the meaning of being "stagnant" nor is there ever a dull moment with me. I like to challenge people at the same time with respect.

4. Restorative- Complex problems energize me! Problem solving is what i like to do. I can literally be tossing and turning in bed until I find a solution. I always say 'Stay away from negative people, they have a problem to every solution"

5. Ideation- My mind is usually bursting with ideas because i can see many approaches to a problem.

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Ivy-(Individualization) will be Team Lead due to her strong people skills and motiving and following through our task.

Rachel- (Restorative) will be Customer Recovery, patient centered care. Her ability to stay calm and finding a solution for the problem and staying personable to resolve a problem.

Isaac- (Ideation)

will be the Planner to our team, his ability to abstract information and gather data. Can learn quickly

Andrew- (Activator)will be in our informatics team

will be a great asset to the team bringing thoughts into action; getting things done!

Sheila- (Strategic)

will be the CEO her ability to spot on issues, has an open mind and willing to listen