Cost Disclosure and Transparency

Disclosure:

Spark version 7.1 is compliant with ONC 2015 Edition and has been certified by SLI Compliance, and ONC-ACB, in accordance with the applicable certification criteria adopted by the Secretary of Health and Human Services. This certification does not represent an endorsement by the U.S. Department of Health and Human Services.


Certified EHR Vendor & Product Information:

  • Vendor/Developer Name: CorrecTek, Inc.
  • Certification Date: 01.14.2020
  • Certified EHR Name: Spark
  • Certificed EHR Version: 7.1
  • CPHL Product #: 15.05.05.1292.CORT.01.00.1.200114

Certification Criteria:

§170.315(a)(1) Computerized provider order entry (CPOE) – medications§170.315(a)(11) Smoking status§170.315(d)(6) Emergency access
§170.315(a)(2) Computerized provider order entry (CPOE) – laboratory§170.315(a)(14) Implantable device list§170.315(d)(7) End-user device encryption
§170.315(a)(3) Computerized provider order entry (CPOE) – diagnostic imaging§170.315(d)(1) Authentication, access control, authorization§170.315(d)(8) Integrity
§170.315(a)(4) Drug-drug, drug-allergy interaction checks for CPOE (NewCrop)§170.315(d)(2) Auditable events and tamper-resistance§170.315(g)(2) Automated measure calculation
§170.315(a)(5) Demographics§170.315(d)(3) Audit report(s)§170.315(g)(3) Safety-enhanced design
§170.315(a)(7) Medication list§170.315(d)(4) Amendments§170.315(g)(4) Quality management system
§170.315(a)(8) Medication allergy list§170.315(d)(5) Automatic access time-out§170.315(g)(5) Accessibility-centered design
§170.315(a)(10) Drug-formulary and preferred drug list checks

Cost Transparency:

Spark 7.1 requires software license fees, implementation fees for installation/training, and annual maintenance fees post go-live.

Additional Software Required:

Meaningful Use users will require NewCrop Core ePrescribing. CorrecTek clients pay a one-time ePrescribing fee and a monthly service fee per prescriber.

Limitations:

There are no known contractual or technical limitations that a user may encounter in the course of implementing and using Spark 7.1.