In real life, the gathering of complex patient cases directly from your prescribers is a formidable quantitative and qualitative tool to evaluate prescription attitudes and behavior.

However, as time goes by, complex patient cases become increasingly complicated, lines of treatment are replaced, the patient flow becomes more complex, and treatment strategies are increasingly assessed in multi-disciplinary groups.

Information pertaining to patients is increasingly sought at the source, so at the HCP practice itself and directly in patient reports.

In Healthcare Market Research, we use CAPI (Computer Assisted Personal Interviewing) for Quantitative studies with your prescribers directly on the location of their practice to gather complex patient cases.


The interviewer carries out their interviews face to face with a tablet on which the fieldwork manager will have first transferred all the information required for the study.

Quantitative gathering of complex patient cases from prescribers is a challenging but essential process for healthcare professionals, particularly those involved in research or quality improvement initiatives. Here are some tips for creating blog content that can help you unlock the secrets to a successful quantitative gathering of complex patient cases from your prescribers:

1. Define your research question or quality improvement goals:

Before you start gathering data, it’s essential to define the problem or question that you want to address. This will help you design your data collection process and ensure that you are collecting the right information.

2. Develop a data collection tool:

Depending on your goals, you may need to develop a specific data collection tool to capture the information you need. This could be a survey, a chart review tool, or a database for tracking patient outcomes.

3. Train your prescribers:

Once you have your data collection tool, it’s essential to train your prescribers on how to use it. This will help ensure that they collect the necessary information consistently and accurately.

4. Establish a process for data entry and storage:

To ensure that your data is accurate and reliable, you’ll need to establish a process for entering data into your database or another storage system. This could involve regular audits or quality checks to catch errors or inconsistencies.

5. Analyze your data:

Once you have collected your data, it’s time to analyze it. Depending on your goals, you may need to use statistical analysis or other methods to identify trends, patterns, or areas for improvement.

6. Share your results:

Finally, you’ll want to share your results with your prescribers and other stakeholders. This could involve creating reports, presenting at conferences, or publishing articles in peer-reviewed journals.

7. Clearly Define Your Objectives

Before starting your data collection process, it’s important to define your objectives. What do you want to achieve with your data? What questions do you want to answer? Defining your objectives will help you to focus your efforts and ensure that you collect relevant data.

8. Identify the Right Prescribers

To collect complex patient cases, you need to work with prescribers who treat complex patients. Identify prescribers who have experience in treating patients with complex medical conditions or who work in settings where they encounter complex cases. For example, you may want to work with prescribers who work in hospitals or specialized clinics.

9. Use a Standardized Data Collection Form

To ensure that you collect consistent data across prescribers, use a standardized data collection form. The form should include all the information you need to collect and should be easy for prescribers to complete. Make sure to pre-test the form with a small group of prescribers to ensure that it is effective and user-friendly.

10. Offer Incentives

Offering incentives to prescribers can help to encourage participation and increase response rates. For example, you could offer a gift card or a small financial incentive for each complex patient case submitted. Alternatively, you could offer CME credits for participating in your data collection process.

11. Ensure Confidentiality

Prescribers may be hesitant to submit complex patient cases if they are concerned about patient confidentiality. To address this concern, ensure that your data collection process is confidential and compliant with all relevant data privacy laws. You may want to consider using a secure data collection platform that allows prescribers to submit data anonymously.

12. Follow Up

Finally, it’s important to follow up with prescribers to ensure that they submit their complex patient cases. Send regular reminders and follow-up emails to encourage participation and ensure that you collect as much data as possible.


Related Read:
“Power of Big Data in Pharmaceutical Industry”