app.py

import streamlit as st

st.markdown("# HEDIS Gaps and CT Codes")

st.write("HEDIS gap closures are interventions that are designed to close gaps in care and improve patient outcomes. These gaps can include things like missed preventive screenings, incomplete care for chronic conditions, or inadequate management of acute conditions.")

st.write("While specific interventions may vary depending on the gap in care being addressed, common clinical terminology codes that may be used to document these interventions include:")

st.markdown("- LOINC (Logical Observation Identifiers Names and Codes): LOINC codes are used to identify laboratory and clinical observations. Examples of LOINC codes that may be relevant to HEDIS gap closures include codes for blood pressure measurements, lipid panel results, and HbA1c tests.")

st.markdown("- CPT (Current Procedural Terminology): CPT codes are used to identify medical procedures and services. Examples of CPT codes that may be relevant to HEDIS gap closures include codes for preventive screenings such as mammograms, colonoscopies, and flu shots.")

st.markdown("- HCPCS (Healthcare Common Procedure Coding System): HCPCS codes are used to identify medical procedures and services, particularly those provided to Medicare beneficiaries. Examples of HCPCS codes that may be relevant to HEDIS gap closures include codes for diabetes self-management education and medical nutrition therapy.")

st.markdown("- ICD-10 (International Classification of Diseases, 10th Revision): ICD-10 codes are used to identify diagnoses and reasons for medical encounters. Examples of ICD-10 codes that may be relevant to HEDIS gap closures include codes for chronic conditions such as diabetes, hypertension, and asthma.")

st.markdown("- SNOMED CT (Systematized Nomenclature of Medicine - Clinical Terms): SNOMED CT codes are used to identify clinical concepts and relationships between them. Examples of SNOMED CT codes that may be relevant to HEDIS gap closures include codes for patient education, medication management, and care coordination.")

st.markdown("- Omaha System: The Omaha System is a standardized terminology that is used to document and communicate nursing interventions and outcomes. Examples of Omaha System codes that may be relevant to HEDIS gap closures include codes for health promotion, disease prevention, and self-care management.")



st.markdown("Prompt: According to https://www.healthit.gov/ https://www.cms.gov/ and https://www.nlm.nih.gov/ there is a list of top ten HEDIS gap closures that providers and health care companies can use to improve their CQM quality scores and earn revenue while providing value based care including helping the people in US that require care the most and have barriers to access.  Name these top ten gaps that can be closed and list the clinical terminology vocabulary codes for each along with code type for the codes of LOINC, CPT, HCPCS, ICD10,  Snomed US, and Omaha System.")

st.markdown("# Top 6 Questions for CT Codes and Code Types")

data = [
    ["What is the ICD-10 code for diabetes mellitus?", "E10-E14", "ICD-10"],
    ["What is the LOINC code for a complete blood count (CBC)?", "58410-2", "LOINC"],
    ["What is the CPT code for a routine mammogram?", "77067", "CPT"],
    ["What is the HCPCS code for an insulin pump?", "E0784", "HCPCS"],
    ["What is the SNOMED CT code for a myocardial infarction?", "22298006", "SNOMED CT"],
    ["What is the Omaha System code for nutrition counseling?", "2022", "Omaha System"]
]

# create a table
st.write("| Question | Expected answer(s) | Clinical terminology code(s) |\n| --- | --- | --- |")
for row in data:
    st.write("| {} | {} | {} |".format(row[0], row[1], row[2]))




st.markdown(""" # Top Ten Conditions to Assess

Prompt; In the united states list the top ten expensive medical and behavioral conditions that nurses educate and teach patients about.  Include question to test for condition and vocabulary code value for each to identify them uniquely.  Provide the full list as a python dictionary in streamlit and create a short program to display them using python language.


""")

conditions = {
    "Diabetes": {
        "Question": "Do you have frequent urination or excessive thirst?",
        "Codes": ["E10-E14", "250", "R73.9", "R79.9"]
    },
    "Heart Disease": {
        "Question": "Have you ever been diagnosed with high blood pressure?",
        "Codes": ["I11", "I20-I25", "I50", "Z82.49"]
    },
    "Asthma": {
        "Question": "Do you have difficulty breathing or wheezing?",
        "Codes": ["J45", "J46", "R06.2", "Z87.891"]
    },
    "Depression": {
        "Question": "Have you felt sad or hopeless for an extended period of time?",
        "Codes": ["F32", "F33", "Z13.89", "Z79.891"]
    },
    "Anxiety": {
        "Question": "Do you worry excessively or feel restless or on edge?",
        "Codes": ["F41", "Z13.89", "Z79.891"]
    },
    "Chronic Obstructive Pulmonary Disease (COPD)": {
        "Question": "Do you have a chronic cough or shortness of breath?",
        "Codes": ["J41", "J42", "J43", "J44", "Z87.0"]
    },
    "Obesity": {
        "Question": "Do you have a body mass index (BMI) of 30 or higher?",
        "Codes": ["E66", "Z68.38"]
    },
    "Chronic Kidney Disease (CKD)": {
        "Question": "Do you have high blood pressure or diabetes, or have you ever had a kidney infection or kidney stones?",
        "Codes": ["N18", "Z82.6", "Z94.0"]
    },
    "Substance Use Disorder": {
        "Question": "Have you ever had difficulty controlling your use of drugs or alcohol?",
        "Codes": ["F10-F19", "Z13.89", "Z71.5"]
    },
    "Coronary Artery Disease (CAD)": {
        "Question": "Have you ever been diagnosed with angina or had a heart attack?",
        "Codes": ["I20-I25", "Z82.49"]
    }
}

st.write("# Top 10 Expensive Medical and Behavioral Conditions That Nurses Educate and Teach Patients About")

for i, (condition, data) in enumerate(conditions.items()):
    st.write(f"{i+1}. {condition}")
    st.write(f"- Question: {data['Question']}")
    st.write(f"- Vocabulary codes: {', '.join(data['Codes'])}")
    st.write("")