The 25x5 Taskforce Technology Requirements (TR) workstream has identified a roadmap of recommended solutions for technology and EHR vendors to develop to reduce documentation burden and improve interoperability across electronic health systems within the next three to five years.
The workstream recognizes that some of the recommendations may be currently available in some clinical settings or small use cases but are not widely available across all clinical settings for a variety of reasons including high costs, interoperability challenges, data security concerns, etc.
The workstream is seeking feedback on the 14 recommendations and timeline for widespread availability. Please be sure to let us know if there are other items that you would like to see included in the roadmap or if you have concerns about the impact on clinician burden.
After this round of public feedback, these recommendations will be formally issued/publicized and widely disseminated to the stakeholder community.
Roadmap
Less than 18 months
- Develop a feature that transcribes clinician-patient interactions and integrates the transcribed text into the EHR system. (Ambient listening)
- Develop a feature that processes natural language queries and returns accurate results within EHR systems.
18 months - 3 years
- Integrate speech recognition technology to enable healthcare providers to dictate orders directly into EHR systems. (Needs to support accurate CPT and ICD codes to support CPOE)
- Develop a feature that generates concise relevant summaries of lengthy clinical documents for quick information retrieval. (Allow variation by specialty or preference)
- Develop a feature that assigns appropriate medical billing codes based on clinical documentation, reducing manual input and minimizing errors. (Using existing structures)
- Develop a feature that analyzes patient data and clinical documentation to generate evidence-based treatment recommendations.
- Develop a feature that analyzes patient data and sends automated reminders for follow-up appointments, medication refills, or other necessary actions.
More than 3 years
- Develop a feature that extracts important clinical data from unstructured text and structures it for easy integration into EHR systems.
- Develop a feature that prioritizes preventive services to the individual patient.
- Develop a feature that automatically modifies patient education materials, appointment reminders, patient letters, and other communications incorporating patient-specific factors (such as age, language spoken, level of education, gender, SDOH, and medical factors)
- Standardize audit log content and detail in events relevant for billing sufficient to automate billing (or equivalent to audit log as a separate module).
- Develop a longitudinal care plan feature that is owned by the primary care provider and can be contributed to by any care provider across all care settings.
- Using a combination of predictive AI, generative AI, FHIR APIs +CDS Hooks, and NLP, search a patient's record for things like demographics, vital signs, lab reports, clinical notes, imaging reports and more to pull out data. Then using the aforementioned tools, identify clinical concepts/differential diagnoses as well as associated evaluations (ideally with PPV/NPV) and suggested treatment based on the most current guidelines.
- Develop a workflow to facilitate the clinician's daily billing for inpatient care with appropriate diagnoses and codes based on data entered by the billing clinician in the EHR.