50 year old woman with diabtetes on meds viliga -M also on levothyroxine 75 mcg hasfamily history of diabetes in father and father passed away due to lung cancer and mother has rheumatoid arthritis patient has long standing history or

Long standing history of varicose veins and now her lower legs on the back inner and oiter side have turned pigmented has constant itchying urge also feels numbing on sitting crosslegged and then getting up after 20-30 mins has also had dry cough since 2 weeks what all do you think this woman need to undergo checking for as part or screening routine and spefcific tobher

Reading File

Finding Sources

Reading File

Finding Sources

Here is a structured, comprehensive screening and workup plan for this patient, organized by clinical problem and background risk:

Complete Workup & Screening Plan

Patient Summary (Clinical Portrait)

50-year-old woman
Type 2 Diabetes on Vildagliptin-M (Vildagliptin + Metformin)
Levothyroxine 75 mcg (pre-existing hypothyroidism, likely Hashimoto's)
Family history: Father - T2DM + lung cancer; Mother - Rheumatoid Arthritis
Long-standing varicose veins
Lower leg skin pigmentation (inner and outer, posterior aspect)
Constant itching of legs
Leg numbness on sitting cross-legged / position change
Dry cough for 2 weeks

PROBLEM 1: Lower Leg Pigmentation + Itching + Varicose Veins

Diagnosis: Advanced Chronic Venous Insufficiency (CVI) with Hemosiderin Deposition / Lipodermatosclerosis

The brown/dark pigmentation on the distal calf and gaiter region is classically due to hemosiderin deposition from prolonged ambulatory venous hypertension. The itching is stasis dermatitis. This is well documented in Sabiston's Surgery: "Signs of advanced venous insufficiency include hyperpigmentation in the distal calf or gaiter distribution, secondary to hemosiderin deposition, and lipodermatosclerosis."

Investigations needed:

Test	Reason
Duplex Venous Ultrasound (bilateral lower limb)	Gold standard - maps superficial and deep venous reflux, identifies incompetent perforators, rules out DVT
ABI (Ankle-Brachial Index)	Must rule out arterial disease before compression therapy, especially in diabetics
Skin biopsy (if diagnosis uncertain)	Rule out contact dermatitis, vasculitis, or diabetic dermopathy
D-Dimer + Doppler	If acute DVT component cannot be excluded

Note: In a diabetic patient, peripheral arterial disease can coexist - never assume pure venous disease without checking the ABI first.

PROBLEM 2: Numbness on Sitting Cross-Legged / Positional Paresthesia

This has two overlapping explanations that must both be assessed:

Diabetic Peripheral Neuropathy - reduced protective sensation, early LOPS (Loss of Protective Sensation)
Entrapment / Positional nerve compression - peroneal nerve at fibular head, worsened by diabetes (nerves more vulnerable to compression)

Per Harrison's 22E: "The ADA recommends annual screening for distal symmetric polyneuropathy beginning with the initial diagnosis of diabetes..."

Investigations needed:

Test	Reason
10-g monofilament test (Semmes-Weinstein)	Detects LOPS - mandatory annual test
128 Hz tuning fork at base of great toe	Vibration sensation screening
Ankle reflexes	Reduced/absent in peripheral neuropathy
Nerve Conduction Studies (NCS) / EMG	If clinical examination is ambiguous - quantifies neuropathy
HbA1c	Glycemic control drives neuropathy progression
Pinprick sensation testing	Small fiber neuropathy
Orthostatic blood pressure	Autonomic neuropathy - screen at diagnosis of T2DM

PROBLEM 3: Diabetes Monitoring - Routine Annual Checks

Based on Harrison's 22E and ADA guidelines for established T2DM:

Test	Frequency	Reason
HbA1c	Every 3-6 months	Glycemic control target
Fasting glucose / SMBG log	Ongoing	Day-to-day monitoring
Urine Albumin-to-Creatinine Ratio (UACR)	Annual	Early diabetic nephropathy
Serum Creatinine + eGFR	Annual	Renal function; also required for metformin dosing
Lipid profile (LDL, HDL, TG, Total Chol)	Annual	Cardiovascular risk - high in diabetics
Retinal examination (fundoscopy/slit lamp)	Annual	Diabetic retinopathy
Foot examination	Annual (every visit ideally)	Ulcer risk, LOPS
Blood pressure	Every visit	Target <130/80 in diabetics
ECG	Annual (or as indicated)	Silent ischemia common in diabetic women
Dental exam	Biannual	Periodontal disease more frequent in DM

PROBLEM 4: Dry Cough (2 weeks) - IMPORTANT, DO NOT IGNORE

This has three serious differentials in this specific patient:

A. Vildagliptin (DPP-4 inhibitor) - Known to cause dry cough

DPP-4 inhibitors can cause nasopharyngitis and dry cough as a class-related adverse effect (bradykinin accumulation pathway, similar mechanism to ACE inhibitors). This is the most likely cause.

B. Hypothyroidism-related (undertreated) - dry throat, hoarseness, cough

Her levothyroxine dose (75 mcg) may need adjustment. Undertreated hypothyroidism causes mucosal changes that can produce cough.

C. Lung cancer screening - FAMILY HISTORY FLAG

Her father died of lung cancer. While she may not be a smoker, family history increases relative risk. At age 50, if she has any smoking history (even passive), she qualifies for low-dose CT screening per USPSTF guidelines.

Investigations needed:

Test	Reason
Chest X-ray	First-line for cough + lung cancer family history
Low-dose CT chest (LDCT)	If smoking history ≥10 pack-years or clinical suspicion
TSH + Free T4	Check levothyroxine adequacy; hypothyroidism can cause dry cough/hoarseness
Spirometry / PFTs	Rule out obstructive/restrictive lung disease
Review Vildagliptin	If cough began after medication start/dose change - consider switch to SGLT2i or GLP-1 agonist
GERD workup	Diabetic gastroparesis predisposes to GERD-induced cough
ENT referral	If UACS (upper airway cough syndrome) or postnasal drip

PROBLEM 5: Thyroid Monitoring (on Levothyroxine)

Test	Frequency
TSH	Every 6-12 months once stable
Free T4	If TSH is abnormal
Anti-TPO antibodies	If not previously done (confirms Hashimoto's etiology)
Thyroid ultrasound	If goiter or nodule detected

In a woman with diabetes + hypothyroidism, both conditions are commonly autoimmune - screen for other autoimmune conditions (see below).

PROBLEM 6: Mother Has Rheumatoid Arthritis - Autoimmune Family History

With a mother with RA + personal history of hypothyroidism (likely Hashimoto's - autoimmune), this patient is at increased risk for other autoimmune diseases.

Test	Reason
Rheumatoid Factor (RF) + Anti-CCP antibodies	Early RA screening - most specific marker
ANA (Antinuclear Antibody)	Screening for broader autoimmune disease (SLE, Sjogren's)
ESR + CRP	Systemic inflammation marker
Schirmer's test / dry eye and dry mouth symptoms	Rule out Sjogren's syndrome (commonly comorbid with Hashimoto's + RA family history)

PROBLEM 7: Age-Appropriate Cancer Screening (50-year-old woman)

Screening	Recommendation
Mammography	Annual or biennial from age 40-50 (varies by guideline)
Pap smear + HPV co-test	Every 5 years (if previous normal)
Colonoscopy	From age 45 (ACS) - due for first if never done
Low-dose CT chest	If smoking history - father's lung cancer adds context
DEXA scan (bone density)	Perimenopausal women with hypothyroidism (levothyroxine at supraphysiologic dose suppresses bone density)

PROBLEM 8: Cardiovascular Risk Assessment

Women with diabetes + autoimmune disease (RA, hypothyroidism) have significantly accelerated cardiovascular risk per Braunwald's Heart Disease 12E: "RA and SLE associate with a significantly increased risk..."

Test	Reason
Fasting lipid profile	Dyslipidemia in DM + hypothyroidism
ECG	Baseline; silent ischemia
ECHO or stress test	If chest symptoms or multiple risk factors
Carotid intima-media thickness (CIMT) or coronary calcium score	10-year cardiovascular risk stratification in high-risk women
Framingham / ASCVD risk score calculation	Guides statin initiation

Prioritized Action List (What to Do First)

Chest X-ray + TSH + Free T4 - address the 2-week cough now
HbA1c + UACR + eGFR + lipids - diabetes monitoring overdue workup
Bilateral lower limb duplex venous ultrasound + ABI - venous disease staging
Monofilament + vibration + ankle reflex exam - neuropathy screen (can be done in clinic today)
RF + Anti-CCP - autoimmune screening
Mammography + colonoscopy - age-appropriate cancer screen
DEXA scan - hypothyroidism + perimenopausal = bone loss risk
Review Vildagliptin - is the dry cough medication-related?

Sources: Harrison's Principles of Internal Medicine 22E, Sabiston Textbook of Surgery 21E, Braunwald's Heart Disease 12E, ADA Standards of Medical Care in Diabetes.

Clinical note: This patient has overlapping metabolic, venous, autoimmune, and medication-related issues. A methodical systems review with the above panel will avoid missing any of the key diagnoses.

Create a tracking table for annual diabetes screening dates 42/43 maybe for autoimmune itself father didnt have smoking history nor does she early menarche early menopause

Reading File

Finding Sources

Running Command

ls /home/daytona/workspace/ 2>/dev/null || echo "workspace not found"

Diagnosed with thyroiditis when she was taking diabtets meds from her diabetologist diabetes screening dates 42/43 maybe for autoimmune itself father didnt have smoking history nor does she early menarche early menopause

Running Command

mkdir -p /home/daytona/workspace/patient-tracker && ls /home/daytona/workspace/patient-tracker/

Writing File

~/patient-tracker/build_tracker.py

import openpyxl
from openpyxl.styles import (
    Font, PatternFill, Alignment, Border, Side, GradientFill
)
from openpyxl.utils import get_column_letter
from openpyxl.styles.numbers import FORMAT_DATE_DDMMYY
from datetime import date

wb = openpyxl.Workbook()

# ── colour palette ──────────────────────────────────────────────────────────
C_HEADER_DARK  = "1F3864"   # deep navy
C_HEADER_MID   = "2E75B6"   # mid blue
C_SECTION_DM   = "D6E4F0"   # light blue  – Diabetes
C_SECTION_TH   = "E8F5E9"   # light green – Thyroid / Autoimmune
C_SECTION_VEN  = "FFF3E0"   # light amber – Venous / Vascular
C_SECTION_GYN  = "FCE4EC"   # light pink  – Gynaecology / Hormonal
C_SECTION_CAN  = "F3E5F5"   # light lavender – Cancer screening
C_SECTION_CV   = "FFEBEE"   # light red   – Cardiovascular
C_SECTION_MED  = "E8EAF6"   # light indigo – Medication review
C_WHITE        = "FFFFFF"
C_DONE         = "C8E6C9"   # tick-green
C_DUE          = "FFF9C4"   # amber-yellow
C_OVERDUE      = "FFCDD2"   # soft red
C_TEXT_DARK    = "1A1A2E"
C_ACCENT       = "FF6F00"   # orange for alerts

def mk_fill(hex_col):
    return PatternFill("solid", fgColor=hex_col)

def mk_font(bold=False, size=10, color=C_TEXT_DARK, italic=False):
    return Font(name="Arial", bold=bold, size=size, color=color, italic=italic)

def mk_border(style="thin"):
    s = Side(style=style, color="BDBDBD")
    return Border(left=s, right=s, top=s, bottom=s)

def mk_align(h="center", v="center", wrap=True):
    return Alignment(horizontal=h, vertical=v, wrap_text=wrap)

# ═══════════════════════════════════════════════════════════════════════════
# SHEET 1 – PATIENT SUMMARY
# ═══════════════════════════════════════════════════════════════════════════
ws_sum = wb.active
ws_sum.title = "Patient Summary"
ws_sum.sheet_view.showGridLines = False

# Title banner
ws_sum.merge_cells("A1:H1")
ws_sum["A1"] = "PATIENT HEALTH TRACKING RECORD"
ws_sum["A1"].font = mk_font(bold=True, size=16, color=C_WHITE)
ws_sum["A1"].fill = mk_fill(C_HEADER_DARK)
ws_sum["A1"].alignment = mk_align()

ws_sum.merge_cells("A2:H2")
ws_sum["A2"] = "Confidential – Clinical Screening & Follow-up Tracker"
ws_sum["A2"].font = mk_font(italic=True, size=10, color="BDBDBD")
ws_sum["A2"].fill = mk_fill(C_HEADER_DARK)
ws_sum["A2"].alignment = mk_align()

ws_sum.row_dimensions[1].height = 30
ws_sum.row_dimensions[2].height = 18

# ── Profile block ────────────────────────────────────────────────────────
profile = [
    ("Age",               "50 years"),
    ("Sex",               "Female"),
    ("Diabetes Dx",       "Type 2 DM – approx age 42-43"),
    ("Thyroid Dx",        "Autoimmune Thyroiditis (Hashimoto's) – diagnosed ~age 42-43 during DM workup"),
    ("Current Meds",      "Vildagliptin-M (Vildagliptin + Metformin) | Levothyroxine 75 mcg"),
    ("Menstrual Hx",      "Early Menarche | Early Menopause (~50 or before) – prolonged estrogen window THEN abrupt loss"),
    ("Family Hx",         "Father: Type 2 DM (no smoking) | Mother: Rheumatoid Arthritis"),
    ("Venous Hx",         "Long-standing Varicose Veins → CVI with hemosiderin pigmentation & stasis dermatitis"),
    ("Current Complaint", "Leg pigmentation (inner/outer/posterior), itching, positional numbness, dry cough 2 weeks"),
]

ws_sum.merge_cells("A4:B4")
ws_sum["A4"] = "PATIENT PROFILE"
ws_sum["A4"].font = mk_font(bold=True, size=11, color=C_WHITE)
ws_sum["A4"].fill = mk_fill(C_HEADER_MID)
ws_sum["A4"].alignment = mk_align()

ws_sum.merge_cells("C4:H4")
ws_sum["C4"] = ""
ws_sum["C4"].fill = mk_fill(C_HEADER_MID)

for i, (label, value) in enumerate(profile, start=5):
    r = i
    ws_sum[f"A{r}"] = label
    ws_sum[f"A{r}"].font = mk_font(bold=True, size=10)
    ws_sum[f"A{r}"].fill = mk_fill("EBF5FB")
    ws_sum[f"A{r}"].alignment = mk_align(h="left")
    ws_sum[f"A{r}"].border = mk_border()

    ws_sum.merge_cells(f"B{r}:H{r}")
    ws_sum[f"B{r}"] = value
    ws_sum[f"B{r}"].font = mk_font(size=10)
    ws_sum[f"B{r}"].fill = mk_fill(C_WHITE)
    ws_sum[f"B{r}"].alignment = mk_align(h="left")
    ws_sum[f"B{r}"].border = mk_border()
    ws_sum.row_dimensions[r].height = 28

# Key risk flags
flag_row = len(profile) + 6
ws_sum.merge_cells(f"A{flag_row}:H{flag_row}")
ws_sum[f"A{flag_row}"] = "⚠  KEY RISK FLAGS FOR THIS PATIENT"
ws_sum[f"A{flag_row}"].font = mk_font(bold=True, size=11, color=C_WHITE)
ws_sum[f"A{flag_row}"].fill = mk_fill(C_ACCENT)
ws_sum[f"A{flag_row}"].alignment = mk_align()
ws_sum.row_dimensions[flag_row].height = 22

flags = [
    ("1", "BREAST CANCER RISK ELEVATED",
     "Early menarche + early menopause = prolonged estrogen exposure window. Park's Preventive Medicine: '40+ years menstruation doubles breast cancer risk.' Annual mammography mandatory."),
    ("2", "OVARIAN / ENDOMETRIAL CANCER RISK",
     "Early menarche is a risk factor for ovarian cancer (Schwartz Surgery). Early menopause adds pelvic atrophy. Pelvic ultrasound + CA-125 baseline warranted."),
    ("3", "CARDIOVASCULAR RISK – EARLY MENOPAUSE",
     "Harrison's 22E: early menopause associated with 1.5x CVD/stroke risk. Combined with DM + autoimmune disease = high cardiac risk. Statin therapy + ECG + ECHO review."),
    ("4", "AUTOIMMUNE CLUSTER RISK",
     "Hashimoto's thyroiditis confirmed + mother with RA = autoimmune diathesis. Screen for RA (Anti-CCP), Sjogren's (ANA, Schirmer's), Celiac (anti-tTG IgA), Vitiligo, Pernicious anaemia."),
    ("5", "DRY COUGH – VILDAGLIPTIN OR THYROID",
     "DPP-4 inhibitors cause cough via bradykinin pathway. Also check levothyroxine adequacy (TSH). Father had lung cancer (non-smoker) – LDCT chest if suspicious."),
    ("6", "DIABETIC NEUROPATHY vs POSITIONAL COMPRESSION",
     "Numbness on cross-legged sitting may be early LOPS from DPN OR peroneal entrapment (worsened in diabetics). Monofilament + NCS mandatory."),
    ("7", "OSTEOPOROSIS RISK – EARLY MENOPAUSE + LEVOTHYROXINE",
     "Early menopause = estrogen withdrawal → bone loss. Levothyroxine at suppressive doses further accelerates bone loss. DEXA scan urgently required."),
]

for row_off, (num, title, detail) in enumerate(flags, start=flag_row+1):
    r = row_off
    ws_sum[f"A{r}"] = num
    ws_sum[f"A{r}"].font = mk_font(bold=True, size=10, color=C_WHITE)
    ws_sum[f"A{r}"].fill = mk_fill("E53935")
    ws_sum[f"A{r}"].alignment = mk_align()
    ws_sum[f"A{r}"].border = mk_border()

    ws_sum[f"B{r}"] = title
    ws_sum[f"B{r}"].font = mk_font(bold=True, size=10)
    ws_sum[f"B{r}"].fill = mk_fill("FFEBEE")
    ws_sum[f"B{r}"].alignment = mk_align(h="left")
    ws_sum[f"B{r}"].border = mk_border()

    ws_sum.merge_cells(f"C{r}:H{r}")
    ws_sum[f"C{r}"] = detail
    ws_sum[f"C{r}"].font = mk_font(size=9, italic=True)
    ws_sum[f"C{r}"].fill = mk_fill(C_WHITE)
    ws_sum[f"C{r}"].alignment = mk_align(h="left")
    ws_sum[f"C{r}"].border = mk_border()
    ws_sum.row_dimensions[r].height = 42

# Column widths
ws_sum.column_dimensions["A"].width = 6
ws_sum.column_dimensions["B"].width = 28
for col in ["C","D","E","F","G","H"]:
    ws_sum.column_dimensions[col].width = 18


# ═══════════════════════════════════════════════════════════════════════════
# SHEET 2 – ANNUAL SCREENING TRACKER
# ═══════════════════════════════════════════════════════════════════════════
ws = wb.create_sheet("Annual Screening Tracker")
ws.sheet_view.showGridLines = False

# Title
ws.merge_cells("A1:L1")
ws["A1"] = "ANNUAL DIABETES & MULTISYSTEM SCREENING TRACKER"
ws["A1"].font = mk_font(bold=True, size=14, color=C_WHITE)
ws["A1"].fill = mk_fill(C_HEADER_DARK)
ws["A1"].alignment = mk_align()
ws.row_dimensions[1].height = 28

ws.merge_cells("A2:L2")
ws["A2"] = "Patient: 50F | T2DM (dx ~42-43) | Hashimoto's Thyroiditis | Varicose Veins / CVI | Early Menarche & Early Menopause | Mother: RA"
ws["A2"].font = mk_font(italic=True, size=9, color="CCCCCC")
ws["A2"].fill = mk_fill(C_HEADER_DARK)
ws["A2"].alignment = mk_align()
ws.row_dimensions[2].height = 16

# Column headers
headers = [
    "Category", "Investigation / Screening", "Why Specific to This Patient",
    "Frequency", "Last Done (Date)", "Next Due (Date)",
    "Result / Value", "Normal Range / Target", "Action Required",
    "Done By", "Priority", "Notes"
]
ws.row_dimensions[4].height = 36
for col_i, h in enumerate(headers, start=1):
    cell = ws.cell(row=4, column=col_i, value=h)
    cell.font = mk_font(bold=True, size=10, color=C_WHITE)
    cell.fill = mk_fill(C_HEADER_MID)
    cell.alignment = mk_align()
    cell.border = mk_border()

# ── Data rows ──────────────────────────────────────────────────────────────
# Format: (category, test, why, freq, last, next, result, normal, action, done_by, priority, notes, section_color)
rows = [
    # ── DIABETES MONITORING ────────────────────────────────────────────────
    ("DIABETES\nMONITORING", "HbA1c", "T2DM on Vildagliptin-M; primary glycaemic control marker", "Every 3 months", "", "", "", "< 7.0%  (53 mmol/mol)", "Adjust Vildagliptin-M if above target", "Diabetologist", "URGENT", "Dx ~age 42-43; now 50 → ~7-8 yrs of DM", C_SECTION_DM),
    ("DIABETES\nMONITORING", "Fasting Blood Glucose", "Daily monitoring; detect hypo/hyperglycaemia episodes", "Every visit / at home daily", "", "", "", "70-130 mg/dL (fasting)", "Review medication if persistently high", "Self / GP", "HIGH", "", C_SECTION_DM),
    ("DIABETES\nMONITORING", "Urine Albumin:Creatinine Ratio (UACR)", "Earliest marker of diabetic nephropathy; 7-8 yrs DM = prime onset window", "Annual", "", "", "", "< 30 mg/g", "Refer nephrology if > 300 (macroalbuminuria)", "GP / Diabetologist", "URGENT", "Metformin requires eGFR check before continuing", C_SECTION_DM),
    ("DIABETES\nMONITORING", "Serum Creatinine + eGFR", "Metformin must be dose-adjusted/stopped if eGFR < 45", "Annual", "", "", "", "eGFR > 60 mL/min/1.73m²", "Stop metformin if eGFR < 30", "GP", "URGENT", "", C_SECTION_DM),
    ("DIABETES\nMONITORING", "Lipid Profile (LDL, HDL, TG, Total)", "DM + autoimmune + early menopause = very high CVD risk; statin likely indicated", "Annual", "", "", "", "LDL < 70 mg/dL (high-risk target)", "Initiate/optimise statin; Metformin helps TG", "GP / Cardiologist", "HIGH", "Menopause worsens lipid profile independently", C_SECTION_DM),
    ("DIABETES\nMONITORING", "Retinal Examination (Fundoscopy)", "Diabetic retinopathy risk; 7-8 yrs DM", "Annual", "", "", "", "No retinopathy", "Ophthalmology referral if any changes", "Ophthalmologist", "HIGH", "Hypothyroidism can also cause ocular changes", C_SECTION_DM),
    ("DIABETES\nMONITORING", "Foot Examination (Monofilament 10g + 128Hz tuning fork + ankle reflexes)", "Diabetic peripheral neuropathy; also explains positional numbness", "Every visit (formal annual)", "", "", "", "Intact sensation; no LOPS", "Refer podiatry; Nerve Conduction Study if LOPS", "GP / Diabetologist", "URGENT", "Varicose veins + DM = compound foot ulcer risk", C_SECTION_DM),
    ("DIABETES\nMONITORING", "Orthostatic Blood Pressure", "Autonomic neuropathy screening; ADA recommends at T2DM diagnosis", "Annual", "", "", "", "< 20 mmHg systolic drop on standing", "Refer if symptomatic orthostatic hypotension", "GP", "MODERATE", "", C_SECTION_DM),
    ("DIABETES\nMONITORING", "Dental Examination", "Periodontal disease more frequent and severe in DM", "Every 6 months", "", "", "", "No periodontitis", "Refer dentist; improved glycaemia helps gums", "Dentist", "MODERATE", "", C_SECTION_DM),

    # ── THYROID / AUTOIMMUNE ───────────────────────────────────────────────
    ("THYROID &\nAUTOIMMUNE", "TSH (Thyroid Stimulating Hormone)", "On Levothyroxine 75 mcg; Hashimoto's diagnosed during DM workup ~42-43", "Every 6 months", "", "", "", "0.5 – 4.0 mIU/L (aim 1-2.5 in treated)", "Adjust levothyroxine dose; over-treatment causes AF + bone loss", "Endocrinologist / GP", "URGENT", "TSH also explains dry cough if undertreated", C_SECTION_TH),
    ("THYROID &\nAUTOIMMUNE", "Free T4 (FT4)", "Confirm levothyroxine adequacy", "With TSH or if symptoms", "", "", "", "12–22 pmol/L", "Dose adjust; refer endocrinology", "GP", "HIGH", "", C_SECTION_TH),
    ("THYROID &\nAUTOIMMUNE", "Anti-TPO Antibodies", "Confirms Hashimoto's; titre correlates with activity", "Once (if not done); repeat every 2 yrs", "", "", "", "< 35 IU/mL", "High titres = active autoimmune disease", "Endocrinologist", "HIGH", "Mother has RA → autoimmune diathesis confirmed", C_SECTION_TH),
    ("THYROID &\nAUTOIMMUNE", "Anti-Thyroglobulin (Anti-Tg) Antibodies", "Hashimoto's can be seronegative for TPO but positive for Tg", "Once", "", "", "", "< 40 IU/mL", "", "Endocrinologist", "MODERATE", "", C_SECTION_TH),
    ("THYROID &\nAUTOIMMUNE", "Thyroid Ultrasound", "Hashimoto's → nodule surveillance; rule out malignant transformation", "Annual", "", "", "", "No nodule > 1 cm or suspicious echogenicity", "Fine needle aspiration if TIRADS 4/5", "Endocrinologist / Radiologist", "HIGH", "", C_SECTION_TH),
    ("THYROID &\nAUTOIMMUNE", "Rheumatoid Factor (RF) + Anti-CCP", "Mother has RA; autoimmune clustering; Anti-CCP is most specific", "Annual", "", "", "", "RF < 14 IU/mL; Anti-CCP negative", "Refer rheumatology if positive", "Rheumatologist / GP", "HIGH", "RA + DM + Hypothyroid = triple autoimmune risk", C_SECTION_TH),
    ("THYROID &\nAUTOIMMUNE", "ANA (Antinuclear Antibody)", "Screen for SLE, mixed CT disease, Sjogren's – all cluster with Hashimoto's", "Every 2 years", "", "", "", "Negative or low titre < 1:80", "If positive, refer rheumatology + sub-type (anti-dsDNA, anti-Ro/La)", "Rheumatologist", "MODERATE", "", C_SECTION_TH),
    ("THYROID &\nAUTOIMMUNE", "Anti-tTG IgA (Coeliac Screen)", "Coeliac disease clusters with Hashimoto's and T1DM; affects levothyroxine absorption", "Once; repeat if symptoms", "", "", "", "Negative", "GI referral + duodenal biopsy if positive", "Gastroenterologist", "MODERATE", "Malabsorption can cause erratic thyroid control", C_SECTION_TH),
    ("THYROID &\nAUTOIMMUNE", "Serum B12 + Folate", "Pernicious anaemia clusters with autoimmune thyroiditis; metformin also depletes B12", "Annual", "", "", "", "B12 > 200 pg/mL", "Supplement if low; metformin is key culprit", "GP", "HIGH", "Metformin depletes B12 → worsens neuropathy", C_SECTION_TH),
    ("THYROID &\nAUTOIMMUNE", "ESR + CRP", "Systemic inflammation marker; baseline for autoimmune monitoring", "Annual or if symptoms", "", "", "", "ESR < 20 mm/hr; CRP < 5 mg/L", "Elevated = active autoimmune flare", "GP", "MODERATE", "", C_SECTION_TH),

    # ── VENOUS / VASCULAR ─────────────────────────────────────────────────
    ("VENOUS &\nVASCULAR", "Bilateral Lower Limb Duplex Venous Ultrasound", "Long-standing varicose veins + hemosiderin pigmentation = advanced CVI; CEAP staging required", "Annual (or sooner if ulcer)", "", "", "", "No DVT; reflux mapped", "Vascular surgery referral; grading directs treatment", "Vascular Surgeon", "URGENT", "Gold standard for venous disease staging (Sabiston Surgery)", C_SECTION_VEN),
    ("VENOUS &\nVASCULAR", "Ankle-Brachial Index (ABI)", "Diabetic patient: MUST rule out PAD before any compression therapy", "Annual", "", "", "", "ABI 0.9 – 1.3", "ABI < 0.9 = PAD; avoid compression bandaging", "Vascular Surgeon / GP", "URGENT", "DM + venous disease = high PAD risk", C_SECTION_VEN),
    ("VENOUS &\nVASCULAR", "Nerve Conduction Studies (NCS) / EMG", "Positional numbness: distinguish DPN from peroneal nerve entrapment", "Once baseline; repeat if worsening", "", "", "", "Normal conduction velocities", "Neurology referral if abnormal", "Neurologist", "HIGH", "DM makes nerves more vulnerable to compression injury", C_SECTION_VEN),
    ("VENOUS &\nVASCULAR", "D-Dimer + Compression Ultrasound (if acute)", "Rule out DVT if sudden unilateral swelling or calf tenderness", "As clinically indicated", "", "", "", "D-Dimer < 500 ng/mL", "Anticoagulate if DVT confirmed", "Emergency / GP", "AS NEEDED", "", C_SECTION_VEN),

    # ── CARDIOVASCULAR ────────────────────────────────────────────────────
    ("CARDIO-\nVASCULAR", "ECG (12-lead)", "DM + early menopause + dyslipidaemia = silent ischaemia risk; Levothyroxine affects rhythm", "Annual", "", "", "", "Normal sinus rhythm; no ischaemic changes", "Cardiology referral if abnormal", "Cardiologist / GP", "HIGH", "Hyperthyroidism from over-treatment causes AF", C_SECTION_CV),
    ("CARDIO-\nVASCULAR", "Echocardiogram", "Early menopause + RA family history = accelerated atherosclerosis; venous hypertension can stress right heart", "Every 2-3 years or if symptomatic", "", "", "", "Normal LV/RV function; EF > 55%", "Cardiology referral", "Cardiologist", "MODERATE", "Harrison's 22E: early menopause → 1.5x CVD risk", C_SECTION_CV),
    ("CARDIO-\nVASCULAR", "ASCVD 10-Year Risk Score + Blood Pressure", "Calculate at every visit; multiple risk factors present", "Every visit", "", "", "", "BP < 130/80 mmHg; ASCVD < 7.5%", "Start statin if ASCVD > 7.5%; ACEI/ARB for BP if needed", "GP / Cardiologist", "HIGH", "Avoid ACE inhibitors – she already has dry cough!", C_SECTION_CV),

    # ── GYNAECOLOGY / HORMONAL ────────────────────────────────────────────
    ("GYNAECOLOGY\n& HORMONAL", "Mammography (Digital)", "Early menarche + early menopause = prolonged estrogen exposure → DOUBLED breast cancer risk (Park's Preventive Medicine)", "Annual", "", "", "", "BI-RADS 1 or 2 (normal/benign)", "Core biopsy if BI-RADS 4/5", "Radiologist / Breast Surgeon", "URGENT", "This is her HIGHEST cancer risk given hormonal history", C_SECTION_GYN),
    ("GYNAECOLOGY\n& HORMONAL", "Pelvic Ultrasound (TVS) + CA-125", "Early menarche = ovarian cancer risk factor (Schwartz Surgery); early menopause = endometrial changes", "Annual pelvic USS; CA-125 if clinical concern", "", "", "", "No adnexal mass; CA-125 < 35 U/mL", "Gynaecology referral if abnormal", "Gynaecologist", "HIGH", "", C_SECTION_GYN),
    ("GYNAECOLOGY\n& HORMONAL", "Pap Smear + HPV Co-test", "Routine cervical cancer screening; early sexual activity with early menarche may increase exposure window", "Every 5 years (if prior normal + HPV neg)", "", "", "", "Negative for intraepithelial lesion; HPV neg", "Colposcopy if HSIL or HPV positive", "Gynaecologist", "HIGH", "", C_SECTION_GYN),
    ("GYNAECOLOGY\n& HORMONAL", "FSH + LH + Estradiol", "Confirm menopause status and severity; guide HRT decision (if T2DM allows)", "Once at menopause onset; repeat annually", "", "", "", "FSH > 40 IU/L + Estradiol < 20 pg/mL = menopause", "Discuss HRT risk-benefit (DM + CVD risk may limit options)", "Gynaecologist / Endocrinologist", "HIGH", "HRT may improve glycaemic control and lipids in some women", C_SECTION_GYN),
    ("GYNAECOLOGY\n& HORMONAL", "DEXA Bone Density Scan", "TRIPLE risk: early menopause (estrogen loss) + Levothyroxine (bone resorption) + DM (bone quality impaired)", "Every 2 years", "", "", "", "T-score > -1.0 (normal)", "Bisphosphonate + Ca2+/Vit D if T-score < -2.5", "Rheumatologist / Endocrinologist", "URGENT", "Levothyroxine at even slightly supraphysiologic dose suppresses bone", C_SECTION_GYN),
    ("GYNAECOLOGY\n& HORMONAL", "Vitamin D + Calcium", "Menopause + DM = bone loss; also Vit D deficiency worsens insulin resistance", "Annual", "", "", "", "Vit D > 30 ng/mL; Ca 8.5-10.5 mg/dL", "Supplement if deficient", "GP", "HIGH", "", C_SECTION_GYN),

    # ── CANCER SCREENING ──────────────────────────────────────────────────
    ("CANCER\nSCREENING", "Colonoscopy / FIT (Faecal Immunochemical Test)", "T2DM is an independent colorectal cancer risk factor; age 50", "Colonoscopy every 10 yrs (if normal); FIT annually", "", "", "", "No polyps / negative FIT", "Polypectomy if adenoma found", "Gastroenterologist", "HIGH", "DM increases CRC risk ~30%", C_SECTION_CAN),
    ("CANCER\nSCREENING", "Chest X-Ray", "Dry cough 2 weeks; father had lung cancer (non-smoker); DPP-4 cough must be distinguished", "Now (urgent) + annual if symptoms persist", "", "", "", "Clear lung fields", "CT chest if any opacity; review Vildagliptin", "Radiologist / Pulmonologist", "URGENT", "Father = non-smoker with lung cancer → possible genetic risk (e.g. EGFR mutation familial)", C_SECTION_CAN),
    ("CANCER\nSCREENING", "Low-Dose CT Chest (LDCT)", "Father died of lung cancer (non-smoker) – possible familial/genetic risk (EGFR, ALK mutations common in non-smoking women)", "Consider baseline now; annual if risk confirmed", "", "", "", "No nodule or mass", "Pulmonology + genetic counselling referral", "Radiologist / Oncologist", "HIGH", "Non-smoker lung adenocarcinoma is common in South Asian women with family history", C_SECTION_CAN),
    ("CANCER\nSCREENING", "CA-125 + Pelvic USS (Ovarian)", "Early menarche = ovarian cancer risk", "Annual (listed also under Gynaecology)", "", "", "", "CA-125 < 35 U/mL", "", "Gynaecologist", "HIGH", "", C_SECTION_CAN),

    # ── MEDICATION REVIEW ─────────────────────────────────────────────────
    ("MEDICATION\nREVIEW", "Review Vildagliptin for Cough", "DPP-4 inhibitors cause dry cough via bradykinin; she has 2-week dry cough", "Now (urgent)", "", "", "", "No cough = acceptable", "Switch to SGLT2i (empagliflozin) or GLP-1 RA if cough confirms DPP-4 origin", "Diabetologist", "URGENT", "Bonus: SGLT2i reduces CV events + CKD progression; GLP-1 RA aids weight", C_SECTION_MED),
    ("MEDICATION\nREVIEW", "Metformin + Vitamin B12 Level", "Long-term metformin depletes B12 → worsens peripheral neuropathy (already symptomatic)", "Annual B12 check", "", "", "", "B12 > 200 pg/mL", "Supplement B12 orally or IM", "GP / Diabetologist", "HIGH", "Critical: B12 depletion mimics/worsens DPN", C_SECTION_MED),
    ("MEDICATION\nREVIEW", "Levothyroxine Dose Review (TSH target)", "Supraphysiologic levothyroxine = bone loss + AF risk. Under-treatment = cough, fatigue, worsened lipids", "Every 6 months TSH", "", "", "", "TSH 1.0–2.5 mIU/L (optimal for Hashimoto's)", "Adjust dose by 12.5-25 mcg increments", "Endocrinologist", "HIGH", "", C_SECTION_MED),
    ("MEDICATION\nREVIEW", "Statin Therapy Initiation Assessment", "DM + early menopause + dyslipidaemia + autoimmune disease = high ASCVD risk; statin likely indicated", "Now", "", "", "", "LDL < 70 mg/dL (goal)", "Initiate rosuvastatin or atorvastatin", "GP / Cardiologist", "HIGH", "", C_SECTION_MED),
    ("MEDICATION\nREVIEW", "Aspirin / Antiplatelet Review", "Low-dose aspirin in high ASCVD risk DM patients (individualize)", "Annual review", "", "", "", "Per ASCVD risk score", "Discuss risk vs GI bleed benefit", "Cardiologist / GP", "MODERATE", "", C_SECTION_MED),
]

priority_colors = {
    "URGENT": "B71C1C",
    "HIGH": "E65100",
    "MODERATE": "1565C0",
    "AS NEEDED": "388E3C",
}

for row_i, row_data in enumerate(rows, start=5):
    r = row_i
    cat, test, why, freq, last, nxt, result, normal, action, done_by, priority, notes, sec_color = row_data
    ws.row_dimensions[r].height = 45

    values = [cat, test, why, freq, last, nxt, result, normal, action, done_by, priority, notes]
    for col_i, val in enumerate(values, start=1):
        c = ws.cell(row=r, column=col_i, value=val)
        c.border = mk_border()
        c.alignment = mk_align(h="left")
        c.font = mk_font(size=9)

        if col_i == 1:  # category
            c.font = mk_font(bold=True, size=9, color=C_HEADER_DARK)
            c.fill = mk_fill(sec_color)
            c.alignment = mk_align(h="center")
        elif col_i == 2:  # test name
            c.font = mk_font(bold=True, size=9)
            c.fill = mk_fill(C_WHITE)
        elif col_i == 11:  # priority
            pcolor = priority_colors.get(val, "757575")
            c.font = mk_font(bold=True, size=9, color=C_WHITE)
            c.fill = mk_fill(pcolor)
            c.alignment = mk_align()
        elif col_i in [5, 6]:  # date fields
            c.fill = mk_fill(C_DUE)
            c.alignment = mk_align()
        elif col_i == 7:  # result
            c.fill = mk_fill("F5F5F5")
        else:
            c.fill = mk_fill(C_WHITE)

# Column widths
col_widths = [14, 32, 38, 18, 14, 14, 18, 22, 36, 16, 10, 30]
for ci, w in enumerate(col_widths, start=1):
    ws.column_dimensions[get_column_letter(ci)].width = w

# Freeze header row
ws.freeze_panes = "A5"


# ═══════════════════════════════════════════════════════════════════════════
# SHEET 3 – TIMELINE CALENDAR (by year / age)
# ═══════════════════════════════════════════════════════════════════════════
ws_cal = wb.create_sheet("Screening Timeline")
ws_cal.sheet_view.showGridLines = False

ws_cal.merge_cells("A1:M1")
ws_cal["A1"] = "SCREENING TIMELINE BY AGE / YEAR"
ws_cal["A1"].font = mk_font(bold=True, size=13, color=C_WHITE)
ws_cal["A1"].fill = mk_fill(C_HEADER_DARK)
ws_cal["A1"].alignment = mk_align()
ws_cal.row_dimensions[1].height = 26

# Year columns
years = list(range(2026, 2032))
ages  = list(range(50, 56))

ws_cal.row_dimensions[3].height = 32
ws_cal.row_dimensions[4].height = 20

ws_cal["A3"] = "Test / Screening"
ws_cal["A3"].font = mk_font(bold=True, size=10, color=C_WHITE)
ws_cal["A3"].fill = mk_fill(C_HEADER_MID)
ws_cal["A3"].alignment = mk_align()
ws_cal["A3"].border = mk_border()
ws_cal.column_dimensions["A"].width = 36

ws_cal["B3"] = "Priority"
ws_cal["B3"].font = mk_font(bold=True, size=10, color=C_WHITE)
ws_cal["B3"].fill = mk_fill(C_HEADER_MID)
ws_cal["B3"].alignment = mk_align()
ws_cal["B3"].border = mk_border()
ws_cal.column_dimensions["B"].width = 10

for ci, (yr, ag) in enumerate(zip(years, ages), start=3):
    col = get_column_letter(ci)
    ws_cal.merge_cells(f"{col}3:{col}4")
    ws_cal[f"{col}3"] = f"{yr}\n(Age {ag})"
    ws_cal[f"{col}3"].font = mk_font(bold=True, size=10, color=C_WHITE)
    ws_cal[f"{col}3"].fill = mk_fill(C_HEADER_MID)
    ws_cal[f"{col}3"].alignment = mk_align()
    ws_cal[f"{col}3"].border = mk_border()
    ws_cal.column_dimensions[col].width = 13

# Tests with schedule (test, priority, yr2026, yr2027, yr2028, yr2029, yr2030, yr2031)
# Legend: A = Annual, 2Y = Every 2 yrs, 3Y = Every 3 yrs, 6M = Every 6 months, NOW = Immediate, --- = Not due
tl_rows = [
    ("── DIABETES ──────────────────",   "",       "",    "",    "",    "",    "",    ""),
    ("HbA1c",                            "URGENT", "Q3M", "Q3M", "Q3M", "Q3M", "Q3M", "Q3M"),
    ("UACR (Urine Albumin:Cr Ratio)",    "URGENT", "A",   "A",   "A",   "A",   "A",   "A"),
    ("eGFR / Serum Creatinine",          "URGENT", "A",   "A",   "A",   "A",   "A",   "A"),
    ("Lipid Profile",                    "HIGH",   "A",   "A",   "A",   "A",   "A",   "A"),
    ("Retinal Examination",              "HIGH",   "A",   "A",   "A",   "A",   "A",   "A"),
    ("Foot Exam (Monofilament etc.)",    "URGENT", "A",   "A",   "A",   "A",   "A",   "A"),
    ("Autonomic / Orthostatic BP",       "MOD",    "A",   "A",   "A",   "A",   "A",   "A"),
    ("── THYROID / AUTOIMMUNE ──────",  "",       "",    "",    "",    "",    "",    ""),
    ("TSH + Free T4",                    "URGENT", "6M",  "6M",  "6M",  "6M",  "6M",  "6M"),
    ("Anti-TPO / Anti-Tg Antibodies",   "HIGH",   "A",   "---", "A",   "---", "A",   "---"),
    ("Thyroid Ultrasound",               "HIGH",   "A",   "A",   "A",   "A",   "A",   "A"),
    ("RF + Anti-CCP",                    "HIGH",   "A",   "A",   "A",   "A",   "A",   "A"),
    ("ANA Screen",                       "MOD",    "A",   "---", "A",   "---", "A",   "---"),
    ("Anti-tTG IgA (Coeliac)",           "MOD",    "NOW", "---", "---", "A",   "---", "---"),
    ("Serum B12 + Folate",               "HIGH",   "A",   "A",   "A",   "A",   "A",   "A"),
    ("── VENOUS / VASCULAR ─────────",  "",       "",    "",    "",    "",    "",    ""),
    ("Duplex Venous USS (Bilateral LL)", "URGENT", "NOW", "A",   "A",   "A",   "A",   "A"),
    ("Ankle-Brachial Index (ABI)",       "URGENT", "NOW", "A",   "A",   "A",   "A",   "A"),
    ("NCS / EMG (Neuropathy)",           "HIGH",   "NOW", "---", "A",   "---", "A",   "---"),
    ("── CARDIOVASCULAR ────────────",  "",       "",    "",    "",    "",    "",    ""),
    ("ECG (12-lead)",                    "HIGH",   "A",   "A",   "A",   "A",   "A",   "A"),
    ("Echocardiogram",                   "MOD",    "NOW", "---", "---", "A",   "---", "---"),
    ("ASCVD Score + BP",                 "HIGH",   "A",   "A",   "A",   "A",   "A",   "A"),
    ("── GYNAECOLOGY / HORMONAL ────",  "",       "",    "",    "",    "",    "",    ""),
    ("Mammography",                      "URGENT", "A",   "A",   "A",   "A",   "A",   "A"),
    ("Pelvic USS + CA-125",              "HIGH",   "A",   "A",   "A",   "A",   "A",   "A"),
    ("Pap Smear + HPV Co-test",          "HIGH",   "NOW", "---", "---", "---", "---", "A"),
    ("FSH / LH / Estradiol",             "HIGH",   "A",   "A",   "A",   "A",   "A",   "A"),
    ("DEXA Bone Density Scan",           "URGENT", "NOW", "---", "A",   "---", "A",   "---"),
    ("Vitamin D + Calcium",              "HIGH",   "A",   "A",   "A",   "A",   "A",   "A"),
    ("── CANCER SCREENING ──────────",  "",       "",    "",    "",    "",    "",    ""),
    ("Colonoscopy (baseline)",           "HIGH",   "NOW", "---", "---", "---", "---", "---"),
    ("Chest X-Ray",                      "URGENT", "NOW", "A",   "A",   "A",   "A",   "A"),
    ("Low-Dose CT Chest (LDCT)",         "HIGH",   "NOW", "---", "A",   "---", "A",   "---"),
    ("── MEDICATION REVIEW ─────────",  "",       "",    "",    "",    "",    "",    ""),
    ("Review Vildagliptin (cough)",      "URGENT", "NOW", "---", "---", "---", "---", "---"),
    ("Metformin B12 monitoring",         "HIGH",   "A",   "A",   "A",   "A",   "A",   "A"),
    ("Levothyroxine dose review",        "HIGH",   "6M",  "6M",  "6M",  "6M",  "6M",  "6M"),
    ("Statin initiation assessment",     "HIGH",   "NOW", "A",   "A",   "A",   "A",   "A"),
]

cell_colors = {
    "A":    "C8E6C9",   # green
    "Q3M":  "B3E5FC",   # light blue
    "6M":   "B2EBF2",   # cyan
    "2Y":   "FFF9C4",   # yellow
    "NOW":  "FFCDD2",   # red/urgent
    "---":  "F5F5F5",   # grey
    "MOD":  "1565C0",
}

section_header_fill = "37474F"

for ri, trow in enumerate(tl_rows, start=5):
    r = ri
    ws_cal.row_dimensions[r].height = 22
    test, priority = trow[0], trow[1]
    schedule = trow[2:]

    is_section = test.startswith("──")

    a_cell = ws_cal.cell(row=r, column=1, value=test)
    a_cell.border = mk_border()
    if is_section:
        a_cell.font = mk_font(bold=True, size=9, color=C_WHITE)
        a_cell.fill = mk_fill(section_header_fill)
        a_cell.alignment = mk_align(h="left")
        ws_cal.merge_cells(f"A{r}:M{r}")
    else:
        a_cell.font = mk_font(bold=False, size=9)
        a_cell.fill = mk_fill(C_WHITE)
        a_cell.alignment = mk_align(h="left")

    b_cell = ws_cal.cell(row=r, column=2, value=priority)
    b_cell.border = mk_border()
    if not is_section:
        pcolor = priority_colors.get(priority, priority_colors.get("MOD","757575"))
        b_cell.font = mk_font(bold=True, size=8, color=C_WHITE)
        b_cell.fill = mk_fill(pcolor)
        b_cell.alignment = mk_align()
    else:
        b_cell.fill = mk_fill(section_header_fill)

    for sci, sval in enumerate(schedule, start=3):
        sc = ws_cal.cell(row=r, column=sci, value=sval if not is_section else "")
        sc.border = mk_border()
        sc.alignment = mk_align()
        if is_section:
            sc.fill = mk_fill(section_header_fill)
        else:
            fc = cell_colors.get(sval, "FFFFFF")
            sc.fill = mk_fill(fc)
            sc.font = mk_font(bold=(sval not in ["---", ""]), size=9,
                              color="1A1A2E" if sval not in ["---"] else "9E9E9E")

ws_cal.freeze_panes = "C5"

# Legend
legend_row = len(tl_rows) + 7
ws_cal[f"A{legend_row}"] = "LEGEND:"
ws_cal[f"A{legend_row}"].font = mk_font(bold=True, size=9)
legend_items = [
    ("B", "NOW", "FFCDD2", "Immediate / Urgent"),
    ("C", "A",   "C8E6C9", "Annual"),
    ("D", "Q3M", "B3E5FC", "Every 3 months"),
    ("E", "6M",  "B2EBF2", "Every 6 months"),
    ("F", "---", "F5F5F5", "Not due this year"),
]
for col_l, code, fc, desc in legend_items:
    cell_code = ws_cal[f"{col_l}{legend_row}"]
    cell_code.value = f"{code} = {desc}"
    cell_code.fill = mk_fill(fc)
    cell_code.font = mk_font(size=9)
    cell_code.border = mk_border()
    cell_code.alignment = mk_align(h="left")


# ── Save ────────────────────────────────────────────────────────────────────
out_path = "/home/daytona/workspace/patient-tracker/Diabetes_Multisystem_Screening_Tracker.xlsx"
wb.save(out_path)
print(f"Saved: {out_path}")

Running Command

cd /home/daytona/workspace/patient-tracker && python build_tracker.py

Editing File

~/patient-tracker/build_tracker.py

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/patient-tracker/build_tracker.py'

Reading File

Editing File

~/patient-tracker/build_tracker.py

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/patient-tracker/build_tracker.py'

Running Command

cd /home/daytona/workspace/patient-tracker && python build_tracker.py

Running Command

ls /home/daytona/workspace/patient-tracker/ && df -h /home/daytona/workspace/

Editing File

~/patient-tracker/build_tracker.py

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/patient-tracker/build_tracker.py'

Running Command

cd /home/daytona/workspace/patient-tracker && python build_tracker.py

Editing File

~/patient-tracker/build_tracker.py

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/patient-tracker/build_tracker.py'

Running Command

cd /home/daytona/workspace/patient-tracker && python build_tracker.py && ls -lh /home/daytona/workspace/patient-tracker/

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