PromptBase
🤖 GPT
Delegate data analysis to GPT. This prompt takes a data input in any format supported and
1. Check data for inconsistencies in formatting and structure
2. Provides a corrected, structured version of the data
3. Creates a descriptive summary of trends and patterns
4. Give examples of real world applications
5. Recommends an appropriate visualization
6. Ends with a one minute narrative summary
...more
$9.99
After purchasing, you will gain access to the prompt file which you can use with GPT or the app builder. You'll receive 20 free generation credits with this purchase. By purchasing this prompt, you agree to our terms of service.
Over 1 month ago
Prompt Details
Model
Chat - GPT-3.5 (gpt-3.5-turbo)
Token size
368 ($0.00070 / call)
Example input
1. **`Patient Information`**
- **`Patient ID`**: 12345
- **`Name`**: John Doe
- **`Date of Birth`**: 01/01/1980
- **`Gender`**: Male
- **`Address`**: 123 Main St, Anytown USA 12345
- **`Phone Number`**: (123) 456-7890
- **`Email`**: **[john.doe@email.com](mailto:john.doe@email.com)**
2. **`Medical History`**
- **`Diagnosed Conditions`**: Diabetes, Hypertension, Asthma
- **`Medications`**: Metformin, Lisinopril, Albuterol
- **`Allergies`**: Penicillin, Sulfa drugs
- **`Surgeries`**: Appendectomy, Cholecystectomy, Arthroscopy
3. **`Vital Signs`**
- **`Date`**: 01/01/2023
- **`Time`**: 9:00 AM
- **`Blood Pressure`**: 120/80 mmHg
- **`Heart Rate`**: 70 bpm
- **`Respiratory Rate`**: 18 breaths/min
- **`Oxygen Saturation`**: 96%
- **`Body Temperature`**: 98.6°F
4. **`Lab Results`**
- **`Date`**: 01/01/2023
- **`Complete Blood Count`**:
- **`White Blood Cell Count`**: 7.0 x 10^3/µL
- **`Red Blood Cell Count`**: 4.5 x 10^6/µL
- **`Hemoglobin`**: 14.0 g/dL
- **`Hematocrit`**: 42.0%
- **`Liver Function Tests`**:
- **`Alanine Aminotransferase (ALT)`**: 35 U/L
- **`Aspartate Aminotransferase (AST)`**: 25 U/L
- **`Alkaline Phosphatase (ALP)`**: 105 U/L
- **`Bilirubin, Total`**: 1.2 mg/dL
- **`Renal Function Tests`**:
- **`Creatinine`**: 0.9 mg/dL
- **`BUN`**: 15 mg/dL
- **`eGFR`**: 90 mL/min/1.73 m^2
5. **`Imaging Studies`**
- **`Date`**: 01/01/2023
- **`Modality`**: X-ray
- **`Body Part Examined`**: Chest
- **`Findings`**: No significant abnormalities seen
Example output
Data Preprocessing:
After reviewing the dummy data set, there were no errors or inconsistencies found in the data. The data is already structured in a clear and concise manner and all values seem to be within normal ranges. As such, no further data preprocessing is necessary.
User Confirmation:
The data seems to be correct but please check to confirm before you continue.
Data Summarization:
The patient in the data set is a 43-year-old male with a history of Diabetes, Hypertension, and Asthma. He takes medications such as Metformin, Lisinopril, and Albuterol, and has allergies to Penicillin and Sulfa drugs. He has undergone surgeries such as an appendectomy, cholecystectomy, and arthroscopy.
The patient's latest vital signs taken on 01/01/2023 at 9:00 AM show a blood pressure reading of 120/80 mmHg, heart rate of 70 bpm, respiratory rate of 18 breaths/min, oxygen saturation of 96%, and body temperature of 98.6°F.
The lab results from the same date showed normal results for the complete blood count, liver function tests, and renal function tests. The chest X-ray showed no significant abnormalities.
Additional Insights:
Based on the data, the patient's medical history and latest vital signs and lab results suggest that he is managing his health conditions well and maintaining good overall health. The normal results from the imaging study further reinforce this.
In a larger context, this data can be used to track the patient's health progress over time, monitor his response to treatments, and make any necessary adjustments. This information can also be used to inform public health initiatives and healthcare policies.
Data Visualization:
The data can be visualized using a line chart to track the patient's vital signs and lab results over time, showing trends and patterns in the data. A bar chart can be used to compare the patient's lab results with normal ranges.
Narrative Summary:
The patient in the data set is a 43-year-old male with a history of Diabetes, Hypertension, and Asthma. He is managing his health conditions well, as shown by his latest vital signs and lab results. The patient's blood pressure, heart rate, respiratory rate, oxygen saturation, and body temperature are all within normal ranges. His lab results for complete blood count, liver function tests, and renal function tests are also normal. The chest X-ray showed no significant abnormalities. This data can be used to track the patient's health progress over time and inform public health initiatives and healthcare policies.
- Reviews for this prompt (1)
