Physicians spend nearly 50% of their time on the EHR and doing deskwork, while less than 30% of total clinic time is devoted to direct patient face time. Additional literature seems to suggest an ominous trend: less patient face time can lead to worsening patient outcomes, clinical inefficiency, and higher costs for the healthcare system. Specifically, each of the former effects directly stem from patient and physician satisfaction; more time spent on history taking by the clinician tends to lead to lower satisfaction for both parties. Lower patient satisfaction has been attributed to worse control of chronic indicators (ex: HgbA1C, Total Cholesterol), fewer medication refills, and less preventative health measures. On the other hand, lower physician satisfaction can lead to increases in the number of malpractice lawsuits, inappropriate prescribing, and a significant factor to contributing physician burnout.

Allevia is a digital assistant who employs artificial intelligence and evidence-based medicine to automate clinical documentation so physicians can spend less time documenting and more time doctoring. Patients first begin interacting with Allevia using our mobile app from their phone, either at home or in the waiting room. If it’s the patients first time using our platform, Allevia guides them through several standard medical history questions. Using the information provided in the medical history and chief complaint, Allevia creates a line of symptom questioning to fit the patient’s unique presentation. Finally, Allevia generates a summary of the interaction for the patient to review. If all the information presented looks correct, the patient submits their information to which Allevia automatically converts the patient’s layman responses into a standardized clinical not that is readily integrated into their physician’s EHR of choice via API or securely delivered to the physician’s inbox via encrypted email.

Patient pilots will be conducted in ambulatory family medicine clinic. Software, hardware, and logistics currently comply with HIPAA privacy and security standards. Physicians and research representatives will directly observe and time participating clinicians performing clinical tasks. Metrics of interest include changes in the following variables: time spent on clinical documentation, direct patient face time, time spent on physical exam, time spent for patient education, number of patients seen per hour, and preventative care services rendered. Potential cost savings will be extrapolated using data collected from the pilot. Future research will be conducted to evaluate long term changes in patient satisfaction, physician satisfaction, physician burnout rates, quality of care scores, control of chronic conditions (ex: HgbA1C, SBP, total cholesterol), and medication compliance.

ROBOTIC TECHNOLOGY & VIRTUAL ASSISTANTS

Author: Alexeis Baqui

Coauthor(s): John Chen

Status: Work In Progress