Hi,
I find this very interesting and I think that my experience and skill-set would be right fit for this requirement .
Let me give you a synopsis of my experience for your reference.I am an accomplished Healthcare IT specialist having immersive experience in Health data Analysis ,Migration, FHIR, labs, and third party APIs integration . I have worked on several EMR migration projects . I have great experience and proven ability to streamline the data migration process without loss of data and minimal disruption to providers during transition. I can help you with any extraction and conversion from Medisoft to Kareo by offering complete processes and automated utilities .
The following is my approach when I take up any Migration project :
1. Quantitative Data Assessment:
This assessment involves an objective evaluation of the data, comparing the data facts with the standards and rules for that data. We also seek to understand the expected data or the data specifications. These are the standards, the business rules, or reference data. These specifications tell us what the data should be.
This assessment results in a set of statistics about the data, with examples below.
The existence or non-existence (NULL) of data
Any data value ranges
The minimum and maximum values
Any patterns or format of the data
Reference table matches (e.g., discharge disposition codes)
2. Qualitative Data Assessment:
A qualitative assessment looks at data accuracy, and evaluates data consistency and synchronization. Accuracy has two parts: is the data valid and is the data right? Validity tells you if the facts of the data meet the data standards (quantitative assessment). For example, a field in an EHR labeled “temperature” may contain data in the correct type and format (nn.n – nnn.n), but the range of values may exceed what is logical from a clinical perspective, such as a patient temperature exceeding 500 degrees Fahrenheit. The final part of the qualitative assessment involves evaluating consistency and synchronization, comparing information and determining which data are equivalent and which may need to be made equivalent.
For example, when looking at different EHR systems, a patient's gender information may be captured differently. One system may use the letters “F” and “M”, while another system may use the words “female” or “male.” The data are equivalent, but the data values differ. A subject-matter expert like me would identify these duplicate or equivalent fields during a qualitative assessment.
3. Data Extraction Types:
Discrete
Images and/or Blobs
Scanned Documents
4. Data Extraction Points:
Allergies
Appointments
Audit Logs
Demographics
Encounter Notes
Financial History
History
Immunizations
Insurance
Labs
Medications
Notes
Patient Statements
Problems
Scanned Documents
Transcription
Vitals
I also have specialized in healthcare domain particularly working with various EHR and PM systems and helping healthcare providers achieve various compliance,certifications and integration. I have been instrumental in integrating with third party software, gateways and registries.I have worked on numerous EHR's ,so have deep understanding of all data elements in EHR systems and CPOE.
I bring expertise in Interface development & specifications around HL7, CCD/CCDA and Mirth integration.I have been involved in Development, build and testing of new interfaces using HL7 standards and other proprietary interface models with various EMRs and Vendors.I have vast experience with clinical data transfer using HL7 Standards be it 2.X, 3.X, CCD, C-CDA, etc .I have worked with many cloud EHR companies to achieve complete revenue cycle management functionality for them. This includes eligibility check(270/271), employee benefit enrollment(834), claim generation and submission (837) , remittance receipt (834), claim resubmission, CPT modifiers, HCPSCS Codes, CMS 1500 and so on.
I am sure that my experience will help you in your EMR migration requirement . Please let us know when is a good time for us to connect . Let me know what works best and I look forward to speaking with you soon.
Thank you,
Nilesh P
302.273.1378
