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SyHealth™ - The Gold Standard in Clinical Natural Language Processing (NLP)

SyTrue
SyHealth™: The Gold Standard in Clinical Natural Language Processing (NLP)
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SyHealth™ - The Gold Standard in Clinical Natural Language Processing (NLP)

SyTrue

SyHealth™: The Gold Standard in Clinical Natural Language Processing (NLP)

You’ve got Dirty Data!

In healthcare today, most population health data are derived from structured claims reimbursement data addressing billable codes such as ICD-10, CPT or DRG. SyHealth™ allows for deep, granular insights derived from medical records providing a cohort view of patients or a pared-down view of a certain patient type. Want to know how many medical records contain myocardial infarction without aspirin across a geographical area or maybe just myocardial infarction for males or females that were provided aspirin during a specific time period from a specific location? 

What about social determinants trends with patient-generated data or medication adherence data?

What about COVID-19?  

Get Deep into Context. Get Longitudinal. Get Unstructured!

SyHealth™ will allow you to view and analyze what is really happening in and across your patient populations. Medical records are deep in a context describing what has transpired during a patient encounter and are represented by descriptive, unstructured medical terminologies, versus standardized code sets that may have been billed or not, correctly or incorrectly. SyTrue’s health population product, SyHealth™ sheds light on the context of the patient encounter identifying the assessment, family history, signs and symptoms, history and physical, medications, etc. — you know, what actually took place during the encounter, versus what was billed.

What's in your medical record?


With SyHealth™, you are charged based on the amount of text processed on a monthly basis. All API requests are measured in units of 100 characters, with one unit (100 characters) minimum charge per request.

Pick from the following Ontologies: 

1. Snomed CT

2. ICD10

3. ICD10 WHO 

4. ICD10 PCS 

5. ICD9

6. LOINC

7. RxNorm

8. ICD03

9. CPT *

10. HCPCS

11. MedDRA

12. NCI 

13. RADLEX 


Pick from the following Extractions 

1. Problems

2. Reason for Visit

3. Procedures

4. Medications 

5. Labs

6. Symptoms

7. Signs

8. Allergies

9. Vital Signs

10. Immunizations

11. Past Medical History

12. Family History

13. Social History

14. Planned Procedures, 

15. Physical Exam 

16. Negative Problems

17. Negative Symptoms

18. Negative Signs

19. Radiological Findings



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