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I need help bringing legacy clinical information into my current CharmEHR account. All of the source material is sitting in unstructured PDF files that came out of the previous system, and I want those documents turned into live, searchable data inside CharmEHR—not just attached scans. The scope covers three clear data sets: • Patient records (demographics, clinical notes, labs, imaging). • Appointment history (dates, providers, visit notes). • Insurance information (active and historical policies). I will supply organized folders of the PDFs plus a data-field map drawn from CharmEHR’s import specifications. Your job is to extract the relevant fields, transform them into the format CharmEHR accepts, and load them through its import tools or API. A small pilot batch will come first; once that is verified for accuracy and formatting, the remainder of the files can follow in agreed-upon milestones. Acceptance is based on: 1. 100 % match between the original PDFs and what appears in CharmEHR. 2. Correct linkage of every appointment and insurance record to the appropriate patient profile. 3. No duplicate or truncated entries. If you already know CharmEHR’s CSV template or have scripted against its API, let me know; otherwise, outline how you will parse the PDFs (OCR, manual abstraction, or a hybrid approach) and maintain HIPAA compliance during the process.
Project ID: 40574615
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18 freelancers are bidding on average ₹938 INR/hour for this job

Hi, I can help with your "PDF EHR Data Migration" project. I build clean, maintainable PHP backends — core PHP and Laravel/Symfony, MySQL schema design, and well-structured REST APIs. For work involving php, data processing, excel, pdf, ocr, database programming, data extraction, api integration, I pay close attention to validation, security, and readable code, delivering in small, testable milestones. I provide clean commits and clear documentation. Can we discuss the specifics before I firm up the timeline? ⭐ 5.0/5 from a recent client: "it was great working with him, did whatever changes i asked him as per my need." Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.
₹1,000 INR in 1 day
7.4
7.4

Working from unstructured PDFs to live data in CharmEHR is a challenge I’ve tackled before with similar healthcare data imports. My approach begins with running a pilot set through OCR combined with rule-based parsing to extract fields with precision, then validating those against your provided field map. I will ensure each patient, appointment, and insurance detail matches exactly what’s in the PDFs, carefully linking related records by unique patient IDs to avoid duplicates or truncations. To keep everything HIPAA-compliant, I use secure, isolated environments and delete source files promptly after processing. If CharmEHR’s API details aren’t available, I plan to rely on its CSV import format and run thorough data validation before each batch upload, minimizing errors on your end. Would you prefer a fully automated pipeline once the pilot is approved, or do you want manual reviews for each milestone? Also, can you confirm if the PDFs are mostly text-based or scanned images? This helps me decide the best OCR setup. Ready to start on your pilot batch and get this data usable inside CharmEHR quickly.
₹750 INR in 7 days
5.9
5.9

Hi, I’m Armin Nikdel. I can take your organized PDF folders and the CharmEHR field map, extract the three data sets, and load them as live, searchable records—not static attachments. I’ll start with a small pilot batch so you can confirm accuracy before we proceed with the rest in milestones. The full migration can be delivered in around 12 days for INR 1250. For extraction, I’ll parse each PDF to pull patient demographics, clinical notes, labs, imaging, appointment details, and insurance policies, then map them exactly to your import specification. During transformation, I’ll validate field-level consistency—for example, cross-checking a sample of appointment dates and provider names against the original PDFs—and flag any discrepancies before loading. One clarification: do the insurance PDFs contain both active and historical policy numbers in a consistent layout, or do they vary by payer? That will help me set the right extraction rules for the pilot.
₹1,250 INR in 12 days
6.0
6.0

I've been building and maintaining robust systems for over 20 years now, making me well-equipped to handle the complex task of your PDF EHR data migration. But what sets me apart from other freelancers is my dedication to clean, reliable solutions that can scale to your business' needs. I understand that your legacy clinical information in those unstructured PDF files need to be transformed into live, searchable data inside CharmEHR—not just attached scans. And my extensive experience with PHP-based development and data processing gives me confidence in delivering this precise outcome for you. To ensure accuracy and formatting, I propose a hybrid approach wherein I'll use Optical Character Recognition (OCR) tools along with manual abstraction to parse the PDFs from your previous system. This will allow me to extract the relevant fields and transform them into the format CharmEHR accepts as outlined in its import specifications. To maintain HIPAA compliance throughout the process, I employ strict security measures while handling sensitive medical records. Additionally, I'm adept at working with third-party APIs and have gained intimate knowledge of various data formats including CharmEHR’s CSV template through my Laravel backend development work. So not only can I assist with parsing and importing the data using CharmEHR's import tools or API, but also ensure a seamless linkage of every appointment and insurance record to the appropriate patient profile.
₹750 INR in 40 days
5.7
5.7

Your legacy PDFs need to become live, searchable CharmEHR data — demographics, clinical notes, labs, appointments, insurance — each record linked to the right patient with zero duplicates or truncation. I'd run a hybrid extraction: use the embedded text layer where a PDF has one, OCR (Textract or Tesseract) for scanned pages, then a Python parser that maps each field to CharmEHR's import template and validates types, dates, and required fields before load. Patient linkage I'd key on a stable identifier so every appointment and insurance row attaches to the correct profile, with a dedupe pass and a per-record reconciliation report against the source PDFs so you can confirm the 100% match on the pilot before the rest follows in milestones. For HIPAA I'd work under a signed BAA, on encrypted storage, and purge the source set on sign-off. Is the expected load path CharmEHR's CSV import template, or its API?
₹1,000 INR in 40 days
3.6
3.6

As an experienced PHP developer with a diverse set of skills, including API integration, I am confident in my ability to successfully complete your PDF EHR Data Migration project. I am familiar with CharmEHR's import specifications and can effectively transform your unstructured PDFs into live, searchable data within the platform. My approach to parsing the PDF data will be a hybrid one, leveraging both OCR technology and manual abstraction to ensure that every piece of relevant information is accurately extracted. To address your concern about maintaining HIPAA compliance, I commit to strictly adhering to the highest security protocols throughout the entire process. With all that being said, my ultimate goal as your potential choice for this project is to guarantee a 100% match between the original PDFs and what appears in CharmEHR, correct linkage of every appointment and insurance record, and elimination of any duplicate or truncated entries. Your satisfaction is my top priority and I'm ready to meet all milestones with proficiency.
₹750 INR in 40 days
3.6
3.6

Your migration requirement is essentially a structured ETL process with strict validation rules, not a simple document upload. The critical part will be reliably converting unstructured clinical PDFs into normalized patient, appointment, and insurance records while preserving referential integrity inside CharmEHR. My approach would start with a pilot batch to validate extraction accuracy, field mapping, duplicate handling, and import compatibility before scaling the remaining records. For the PDF processing layer, I would combine OCR and structured parsing depending on document quality and consistency. The extracted data would then pass through validation routines to ensure: - exact field matching against the source PDFs - correct patient-to-appointment and insurance linkage - prevention of duplicate or truncated records - import compatibility with CharmEHR CSV/API requirements I can build the migration workflow using Python-based extraction/validation scripts and automate repeatable imports to reduce manual handling errors. For HIPAA-sensitive data, the process can be designed with encrypted storage, restricted access, auditability, and secure transfer practices throughout the migration. I recommend beginning with a controlled sample set and defining measurable validation checkpoints before processing the full dataset. After the pilot is approved, the remaining batches can be migrated incrementally with reconciliation reports for each milestone.
₹1,250 INR in 30 days
3.8
3.8

Hello, We have strong experience in PHP development, PDF data extraction, OCR, and EHR/EMR data migration. We can accurately extract patient information from PDF files, map it to your EHR system, validate the migrated data, and automate the process wherever possible to ensure accuracy and efficiency. We focus on secure handling of sensitive medical data, timely delivery, complete documentation, and reliable post-deployment support. We'd be happy to discuss your migration requirements in detail. Regards, Acute Tech Solutions
₹1,000 INR in 40 days
1.9
1.9

Being in the top 3% on Freelancer.com, I assure you that my team and I have the expertise and experience necessary to handle your PDF EHR Data Migration project exceptionally well. Our full-stack development skills include proficiency with APIs, which makes us more than capable of working seamlessly with CharmEHR's import tools or API for data migration. We can also handle CharmEHR’s CSV template scripting if required. Given the unstructured nature of your data, we propose a hybrid approach for parsing the PDFs. We will leverage OCR technology to automate the extraction process while still incorporating manual abstraction to ensure maximum accuracy and quality control. Our approach will guarantee a 100% match between the original PDFs and what appears in CharmEHR, proper linkage of every appointment and insurance record, and no duplicate or truncated entries. Keeping in mind the sensitive nature of healthcare data, we appreciate the importance of maintaining HIPAA compliance throughout this migration process. My team has prior experience ensuring compliance with data privacy regulations, and we will apply heightened security measures to protect patient information at every step. Trust us to deliver exceptional, reliable service along every milestone to make your transition to CharmEHR smooth and successful. Let's get started on transforming your legacy clinical information into live, searchable data inside CharmEHR!
₹900 INR in 40 days
1.6
1.6

Turning unstructured clinical PDFs into live, searchable CharmEHR data, not just attached scans, this is exactly the kind of extraction and transformation work I handle, combining PDF parsing, OCR, and API integration. My approach: a hybrid pipeline. For text-based PDFs I would parse fields directly, and for scanned or image-based documents I would layer in OCR (Tesseract or a premium engine), then validate every extracted field against your CharmEHR data-field map before transformation. Records get formatted to CharmEHR's accepted structure and loaded through its import tools or API, with patient, appointment, and insurance records correctly linked by patient identifier so nothing ends up orphaned or mismatched. I would run the pilot batch first, verify 100% accuracy against the source PDFs, no duplicates or truncation, then scale through your agreed milestones. Deduplication and linkage validation would be scripted checks, not manual guesswork, so accuracy holds at volume. On HIPAA: I would handle all PHI on secure, access-controlled storage, avoid any third-party cloud OCR that is not compliant, and delete working copies after successful import. I have done PDF extraction and API integrations before and can start with the pilot batch. Ready once you share the sample folder and field map.
₹1,000 INR in 40 days
1.3
1.3

Bhalumada kotma colliery, India
Member since Jul 7, 2026
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