Improving Provider Workflows with Clinical Decision Support

News | September 1st, 2022

Clinical Decision Support is an encompassing term for a variety of tools that “provide clinicians, staff, patients or other individuals with knowledge and person-specific information, intelligently filtered or presented at appropriate times, to enhance health and health care.”

Clinical decision support solutions are also able to warn of potential problems and provide suggestions for implementing evidence-based clinical guidelines.

However, as healthcare providers continue to be inundated by the increasing amount of patient data they receive, on top of their already full workload from the number of patients to care for and the never-ending administrative tasks, providers need the right clinical decision support system that can truly help lower costs, improve provider efficiency and improve patient outcomes – without increasing their workload or over-alerting.

The Right Data, at the Right Time, for the Right Patient

Despite needing decision support now more than ever, adoption of CDS tools still lags. Key reasons for this are that decision support tools often live outside of the EHR workflow, and that they are not patient and context specific enough. Standardizing API-based data exchange with Fast Healthcare Interoperability Resources (FHIR) was an important step to solving this.

FHIR-based APIs connect data from disparate sources to offer broader context about a patient from which to drive CDS. For example, FHIR-based APIs enable decision support tools to ingest data like diagnosis and latest labs from the EHR, and combine it with data from a connected Blood Pressure cuff the patient uses at home. Taking all of this information into account, the decision support tool can alert the appropriate clinician involved in the patient’s care to avoid a hospitalization or adverse health outcome.

Taking Clinical Decision Support to the Next Level

Rimidi’s configurable clinical decision support solution uses FHIR-based APIs to ingest data from the EHR and other sources to support national practice guidelines, client protocols, remote monitoring workflow, referral management, clinical trial recruitment and most use cases according to client needs.

As a SMART-on-FHIR platform, Rimidi launches within the EHR workflow, maximizing clinical efficiency.

Rimidi’s Clinical Decision Support engine can support alerts for:

  • Guideline Adherence: Through EHR integration, Rimidi’s clinical decision support engine seamlessly assesses clinical data, identifies gaps in care, and presents providers with a decision support card with information or care suggestions that can be configured to national guidelines or specific practice protocols.
  • Remote Patient Monitoring: RPM data from connected devices leveraging the Rimidi platform can drive decision support alerts.
  • Referrals: Rimidi’s CDSS can suggest referrals to specialists, imaging or labs, patient education, etc. based on a patient’s clinical data. Once a patient’s results have been received, Rimidi’s CDS cards present the provider with evidence-based information on the next best steps in care.
  • Clinical Trial Recruitment: Rimidi partners with industry and clinical sites to enhance trial recruitment efforts.

As the healthcare system continues to move to a value-based care model, having the proper clinical decision support solution will be a key component to helping healthcare organizations lower costs and improve provider efficiency, while also improving patient outcomes and quality patient care.

Rimidi is here to help. To learn more about our configurable clinical decision support solutions or to request a demo, please contact a member of our team.