Usability Analysis of Digital Health Record by using statistical tools

@eldadshericks

Hello there, I am a Data Analyst by practice, and by using appropriate statistical software, I can help you discover facts from your pool of data. I run both quantitative and qualitative analyses professionally; I use MS Excel, SPSS, STATA, R, and TABLEAU, providing reports with visualizations, tables, and charts to support the analysis and enhance comprehension. Please get in touch so we can proceed with the project.

@khaliduom103

Hi, I am data analyst of health data( i have done similar projects recently and will provide once we communicate).I am pretty sure I can do your this task very accurately.

@muratalper99

I have a PhD in statistics. I can run all methods in the description of the project. Also, I can suggest a new method if necessary to better fit the data. Finally, I can prepare a report that any non-statistical person can understand

@asadamyn

I would like to start by understanding: 1. Do you already have preliminary survey or interview instruments, or should I design them from scratch? 2. Are there any existing data pipelines or analytics frameworks in place for this evaluation? 3. What’s your preferred deadline for the initial insights and executive-ready report? I’m Asad, a Data Analyst & Health Informatics researcher with 7+ years of experience translating complex data into actionable insights. I’ve worked extensively on usability evaluations, predictive modeling, and health system analytics using Python, R, and SPSS/SAS. My expertise spans survey design, semi-structured interviews, statistical modeling (logistic regression, decision trees, random forests), and producing concise reports for both technical and non-technical audiences. For your project, I can immediately: Refine or develop survey instruments and interview guides for 600 users. Collect and clean the data efficiently. Run predictive analytics to identify the strongest drivers of acceptance. Deliver transparent code and a clear, executive-friendly write-up highlighting actionable recommendations. I prioritize rapid, reliable delivery with a focus on practical insights you can act on. Based on your timeline, I can provide initial findings within around 1 week after data collection. Looking forward to reviewing the project documentation and kicking off immediately. Best regards, Asad

@PremchandGat

Hello, I’d be happy to support the analysis and modeling phase of your digital health record usability evaluation. I specialize in turning survey and interview datasets into clear, defensible insights that decision-makers can act on quickly. I will: Clean, validate, and document the datasets for reproducibility Quantify system acceptance and perceived usability using appropriate composite scores Apply predictive models (logistic or multinomial regression, decision trees, random forests) to identify the strongest drivers and barriers to acceptance Check assumptions, compare models, and clearly justify the final approach Deliver transparent, well-commented code (Python, R, or SPSS—your choice) Outputs will include interpretable tables, visuals, and a concise, executive-ready summary translating statistical findings into a prioritized improvement roadmap—no statistical jargon required. I have experience analyzing health informatics and usability datasets where methodological clarity and speed matter. I can start immediately and align tightly with your timeline and reporting needs. Best regards,

@AbhishekSingh08

As someone with a decade-long experience in both full-stack development and biostatistics, I bring a unique blend of skills to your project that can truly make a difference. My proficiency in handling end-to-end software development, solid command over statistical analysis tools like Python, R, and SPSS/SAS and ability to swiftly create clean and maintainable code will surely aid in achieving the rapid turnaround you desire. Not only can I perform the data collection through structured online surveys and interviews as per your plan, but I can also efficiently run analyses using various statistical techniques like logistic regressions, decision trees, random forests- whatever fits the best. This approach is aligned with my specialization in clinical research, public health, and epidemiology. Therefore, I have already well-acquainted with academic, clinical standards that ensure trustworthiness and clear interpretation of the results your stakeholders could rely on. Lastly, but just as importantly; our communication. The importance of presenting complex analysis in a digestible manner cannot be overstated. My dedication to providing crystal-clear deliverables has always helped clients from non-statistical backgrounds to understand the findings. If you are looking for expertise that goes beyond just fulfilling the project description but actually adds value to it - you have just found the perfect fit!

@phpxpert89

Hello Vikram M., I checked your project, and it looks interesting. This is something we already work on, so the requirements are clear from the start. We mainly work on Python, Statistics, Usability Testing, Statistical Analysis, SPSS Statistics, Data Science, Data Visualization, Data Analysis, Statistical Modeling, Predictive Analytics We focus on making things simple, reliable, and actually useful in real life not overcomplicated stuff. Let’s connect in chat and see if we’re a good fit for this. Best Regards, Ali nawaz

@rajahunainweb

Hi, There, I am excited about your project on Digital Health Record Usability Analysis and understand the urgency in acquiring actionable insights for your executive stakeholders. My experience in gathering user feedback through surveys and interviews aligns perfectly with your goal to assess system acceptance and usability factors. With over 2 years of expertise in Python, Statistics, Data Science, and Usability Testing, I am proficient in implementing predictive analytics techniques like logistic regression and decision trees. I assure you of clean methodologies and transparent code tailored for easy comprehension by non-statistical audiences. To explore my previous work and capabilities, please refer to my portfolio: https://www.freelancer.com/u/rajahunainweb I am ready to dive into this project immediately and look forward to discussing the details further. Thank you, Regards, Raja Hunain

@Wizztron

I recently delivered a project with this exact scope. Your need for a clean, professional, and user-friendly evaluation of digital health record usability, using structured surveys and predictive analytics, aligns perfectly with my expertise. I bring strong skills in health informatics, statistical modeling (Python, R), and translating complex findings into seamless, automated reports accessible to all audiences. While I am new to freelancer, I have tons of experience and have done other projects off site. I would love to chat more about your project! Regards, MN Williams

@codeharsh0

Hi, I’m Harsh, a Python learner and machine learning enthusiast. I help with basic Python scripts, data cleaning, and small automation tasks.

@prajay21

I know everything you need and I am into this field already. can help you a lot please feel free to contact.

@MrZain657

I can help evaluate your digital health record system’s usability and user acceptance, delivering clear, actionable insights for executive stakeholders. I will analyze survey data from all users and code interview responses thematically, integrating qualitative and quantitative findings. Using Python or SPSS, I’ll apply explainable models—logistic/multinomial regression and decision trees—to identify key drivers of adoption, with transparent assumptions and well-commented, reproducible code. Deliverables include clear visualizations and a concise, executive-ready report translating results into a prioritized improvement roadmap. I work efficiently, communicate clearly, and can start immediately to meet your rapid turnaround needs.

@matekaj3

I am a data scientist with experience in usability analysis, survey research, and predictive modeling. I will analyze survey and interview data using Python or R to identify key drivers of user acceptance and perceived usability. My approach combines clean methodology, interpretable models, and transparent code. I deliver concise, executive-friendly insights that translate data into practical, evidence-based recommendations for system improvement.