The healthcare industry is having a big problem with not enough workers. The American Hospital Association and Stanford Medicine found that almost half of doctors in the U.S. feel very tired from too much work, especially paperwork and long documentation tasks. This tiredness is causing many healthcare workers to think about retiring early or changing jobs.
The shortage is not just among doctors. Office and claims staff are also under pressure. A report by Mercer shows that doctors spend about 28 hours each week on paperwork. Medical office staff and claims workers spend 34 and 36 hours a week on similar tasks. This causes hospitals and clinics to be less efficient and more expensive to run.
The need for more healthcare workers is very high. By 2023, the U.S. was missing up to 124,000 doctors. To meet patient needs every year, about 200,000 new nurses need to be hired. These numbers show how urgent it is to find solutions to worker shortages while keeping good care.
Administrative tasks in healthcare mean making appointments, registering patients, managing referrals and prior authorizations, handling billing codes, writing documentation, and answering common patient questions. These tasks use up time that could be spent with patients. Studies show doctors spend up to one-third of their clinical time on these non-patient tasks.
In a survey by the American Medical Association, 57% of nearly 1,200 doctors said using AI to reduce paperwork is the best way to improve healthcare. Doctors think better technology could lower stress, reduce mental overload, and make work easier. Specifically, 80% of doctors said AI that helps with billing codes, medical charts, and visit notes would be very useful. Also, 72% said AI-generated discharge instructions and care plans would help in daily work.
Writing long documentation not only takes a lot of doctor time but also adds to after-hours “pajama time.” This extra work harms worker happiness and work-life balance. Health systems that use AI scribes report saving about one hour each day per doctor. This helps reduce paperwork stress and makes jobs better.
AI technology is being used now to automate many repetitive and low-value tasks. This helps healthcare workers focus more on patients. Companies like Innovaccer and Eleos Health create AI tools to handle front-office phone calls, document medical information, coordinate care, and support behavioral health work.
These AI solutions handle big challenges like too much paperwork and long documentation time. This lets healthcare workers use their time better.
Many administrative tasks happen at the front office. Tasks such as answering phones, making appointments, checking in patients, and handling basic questions need people and often break the flow of clinical work. Simbo AI, for example, uses advanced AI to handle front-office phone calls and patient questions automatically.
AI and automation do more than reduce worker shortages. They help improve the quality and safety of healthcare by cutting human error, improving communication, and speeding up paperwork.
Even with benefits, using AI in healthcare faces problems. Nearly two-thirds of healthcare leaders say staff are doubtful about automation. There are worries about biases in AI data, privacy, and following rules. Making sure AI works openly, safely, and fairly is very important for wider use.
Healthcare leaders say ongoing training and including workers in designing AI tools are key. Overcoming resistance to new technology is needed to fit AI into existing work routines.
Healthcare administrators and IT managers in the U.S. should think about AI automation as one way to handle worker shortages and too much paperwork. Choosing AI tools that fit well with current EHR systems and workflows is important. It is also necessary to follow rules like HIPAA and HITRUST to keep patient data safe.
Using AI front-office phone systems like Simbo AI can cut workloads in reception areas. This frees staff to help patients better and improves the patient experience. AI tools that help doctors with transcription and documentation can raise productivity and staff happiness.
In the end, AI automation is needed for clinics that want to keep care quality, run efficiently, and handle more patients during healthcare worker shortages. Using these tools carefully, along with telehealth and remote monitoring, will help clinics manage current problems and prepare for the future.
Innovaccer’s AI agents automate repetitive, low-value administrative tasks such as appointment scheduling, patient intake, managing referrals, prior authorization, care gap closure, condition coding, and transitional care management, freeing clinicians and staff to focus more on patient care.
They are voice-activated and can have natural, humanlike conversations with patients, capable of responding to details and questions, which enhances patient engagement and efficiency in tasks like discharge planning and follow-up scheduling.
Clinicians spend nearly 28 hours weekly on administrative tasks, medical office staff 34 hours, and claims staff 36 hours, creating a significant time burden that AI agents aim to reduce.
With a projected shortage of 100,000 healthcare workers by 2028, AI agents help alleviate labor shortfalls by automating routine tasks, thus improving operational efficiency and reducing staffing pressures.
The agents access a unified 360-degree view of patient information aggregated from more than 80 electronic health records and combined clinical and claims data, enabling context-rich and accurate task management.
Their AI solutions adhere to rigorous standards including NIST CSF, HIPAA, HITRUST, SOC 2 Type II, and ISO 27001, ensuring data privacy, security, and regulatory compliance in healthcare settings.
The company aims to provide a unified, intelligent orchestration of AI capabilities that deliver human-like efficiency, transforming fragmented solutions into a comprehensive AI platform that supports clinical and operational workflows.
Startups like VoiceCare AI, Infinitus Systems, Hello Patient, SuperDial, Medsender, Hyro AI, and Hippocratic AI are developing AI-driven voice agents and automation platforms to reduce administrative burdens in healthcare.
Innovaccer’s platform uniquely integrates data from multiple EHRs and care settings, powered by its Data Activation Platform, enabling copious AI-driven insights and operations within a single, comprehensive system for providers.
Innovaccer acquired Humbi AI to enhance actuarial analytics for providers, payers, and life sciences, supporting its plans to launch an actuarial copilot, and recently raised $275 million to further develop AI and cloud capabilities.