Explore Health AI Prompts for Emergency Medicine

Nicholas Cozzi, MD, MBA, FACEP, FAEMS

65 year old female with HTN, HLD, and DM -has utilized EMS 10 times in past 30 days. Summarize her initial evaluation and management

Specialty:

Emergency Medicine

AI Tool:

ChatGPT

Potential Child Abuse or Neglect Deep Search

Systematically search the patient's electronic medical record (EMR), including all past visit notes, growth charts, injury documentation, and social service history, for documented physical, behavioral, and caregiver red flags that may indicate potential child abuse or neglect. Search criteria should include: multiple fractures, spiral fracture, bucket-handle fracture, rib fracture (especially in non-mobile infants), epiphyseal injury, bruising on non-mobile infant, bruising on torso/ears/neck, patterned bruising (e.g., belt, hand print), discrepancy in dating of bruises, glove-and-stocking burn pattern, immersion burn, circular burns, splash/spill injury, subdural hematoma, retinal hemorrhage, Shaken Baby Syndrome, inconsistent history of fall, failure to thrive, severe malnutrition, untreated illness, missed immunizations/appointments, poor hygiene, extreme aggressiveness, passivity, hyper-vigilance, flat affect, fear of going home, inappropriate sexual knowledge/behavior, child fears physical exam, avoids caregiver eye contact, child flinches at sudden movements or touch, alcohol intoxication, illicit drug exposure, history provided by caregiver is inconsistent, injury mechanism does not match severity, caregiver delays seeking care, caregiver indifferent to child's pain, overly demanding/critical of child, caregiver reluctant to leave child alone, CPS involvement, protective services, child removed from home, documented family violence, domestic violence, few social contacts, family moves frequently, no available babysitters/support system

Specialty:

Emergency Medicine

AI Tool:

Evidently

Opioid Use Disorder Deep Search

Systematically review the patient's electronic medical record (EMR) for any information related to potential Opioid Use Disorder (OUD), high-risk factors, or contraindications for initiating or continuing opioid therapy. This search should include all progress notes, problem lists, medication history, and prescription monitoring data. Additionally, review the last 12 months of Prescription Monitoring Program (PMP) data, specifically checking for the following high-risk indicators: - Overlapping Opioid Prescriptions: Note instances where the patient received overlapping opioid prescriptions, particularly from multiple prescribers. - Concurrent Prescriptions: Identify concurrent prescriptions for opioids and benzodiazepines or other sedatives. - Refill Patterns: Examine refill patterns, noting any consistently early refills or significant gaps between refills. - Daily Morphine Milligram Equivalent (MME): Calculate the daily MME level and flag any instance where the dosage is consistently above the high-risk threshold of 50 MME/day.

Specialty:

Emergency Medicine

AI Tool:

Evidently

5Ms for geriatric care

Kalie Dove-Maguire, MD

"You are a clinical geriatric specialist reviewing a complex patient's electronic health record (EHR). Your task is to generate a highly granular, actionable, and brief clinical summary using the '5 Ms' framework. This summary is intended for a busy attending clinician or resident preparing for an encounter. For each 'M', you must review all available chart data (e.g., vital signs, problem lists, medication history, notes, screening tests) and extract the most clinically pertinent positive and negative findings that fall within that category. Present the output as a structured table for immediate clinical reference. M Core Clinical Issue/Focus Pertinent Chart Data (Positive/Negative Findings) Action/Next Step Minds Cognitive Status (Dementia, Delirium, Depression) [Extract data here: e.g., MoCA score, recent GDS-15, documented history of delirium, acute mental status changes] [Suggest action: e.g., Re-screen with PHQ-2, Neurology referral, Review recent labs for infectious/metabolic cause] Mobility Functional Status, Falls Risk, Gait [Extract data here: e.g., Falls history (frequency, date), TUG score/Gait speed, documented weakness/assistive device use, recent fracture] [Suggest action: e.g., Order Bone Density Scan, PT consult for balance training, Evaluate home environment for hazards] Medications Polypharmacy, Appropriateness, Adherence [Extract data here: e.g., Total medication count, documented Beers List drugs (specifically list these), recent adverse drug event (e.g., new sedation), documented adherence issue] [Suggest action: e.g., Perform Comprehensive Deprescribing Review, Check CrCl and adjust renal-dosed meds, Consult pharmacist] Multicomplexity Comorbidities, Care Coordination, Social Determinants [Extract data here: e.g., Number of active chronic conditions, documented Caregiver Strain Index score, recent hospital admissions, food/housing insecurity note] [Suggest action: e.g., Initiate Palliative Care discussion, Refer to Social Work for resources, Coordinate care conference with specialty providers] Matters Most Goals of Care, Values, Priorities [Extract data here: e.g., Documented Code Status (DNR/DNI), last Advance Care Planning discussion date, stated health priorities from most recent note] [Suggest action: e.g., Revisit and clarify goals of care, Ensure medical power of attorney documentation is current, Discuss palliative options] Ensure the extracted data is specific, quantitative where possible, and directly relevant to clinical decision-making."

Specialty:

Emergency Medicine

AI Tool:

Evidently

Ob Gyn Initial Visit Prompt

You are an an excellent, thorough obstetrician. Write a concise but thorough summary of the following information for this patient. wherever you do not have data, please state so. Additionally, if the GTPAL is 0000 you should list that, though if you don't have any data for GTPAL, state that. History - Gravida/para (GTPAL) - Prior pregnancies, complications, outcomes - Menstrual history (LMP, cycle length, regularity) - Gynecologic history (Pap/HPV, STIs, contraception) - Medical/surgical history--specifically history of c-section - Medications, allergies - Family history (genetic disorders, pregnancy complications) - Social history (tobacco, alcohol, drugs, occupation, IPV screening) Labs (please list dates of labs when possible) - Blood type, Rh factor - Antibody screen - CBC - Rubella IgG - Varicella IgG - Hepatitis X surface Ag - HIV screen - Syphilis (RPR/VDRL) - Urinalysis & urine culture - GC/CT NAAT - TSH (if indicated) - Hb electrophoresis (if at-risk ethnicity/family hx) - HbA1c or early glucose screen if high risk Imaging - First-trimester dating ultrasound (if LMP uncertain, irregular cycles, or high risk) Prenatal vitamins (folic acid) Substance use IETOH, tobacco, drugs) - Genetic screening options (NIPT, first-trimester screen, carrier testing) - Vaccines: flu, COVID (any trimester), and Tdap (3rd trimester)

Specialty:

Emergency Medicine

AI Tool:

Evidently