In the fast-paced environment of a medical office, ensuring timely and effective follow-up with patients is crucial for delivering high-quality care, improving patient outcomes, and optimizing practice efficiency. A well-designed follow-up system helps medical offices manage appointments, test results, treatment plans, and patient communications.
Because effective follow-up remains a persistent challenge across medical practices, inadequate or incomplete systems are a major contributor to diagnostic errors, which can result in poor patient outcomes, injury, and even death. In medical malpractice cases, it is especially difficult to defend care that was not delivered due to communication failures or breakdowns caused by ineffective follow-up processes. When lapses in patient care occur, plaintiffs alleging negligence are more likely to succeed. These claims are often among the most serious and costly, with approximately two-thirds involving clinically significant harm and nearly 44% related to diagnostic issues.¹ Physicians who order diagnostic tests are responsible for ensuring that the entire testing process is completed, including ordering, tracking, interpretation, documentation, and communication of results.
The core principles of medical test and lab follow-up have remained in place for decades, spanning the transition from manual medical record management to modern day electronic health records (EHR), and ever-evolving advances in technology.
As a foundation, the objective and scope of the follow-up system should be clearly established and understood. Essential elements of a comprehensive system include the following:
- Timely reminders for patients regarding appointments and tests
- Active tracking of ordered studies and pending results
- Ongoing chronic disease monitoring
- Reducing missed appointments and improving patient adherence
- Enhancing patient satisfaction
Two main components of a successful follow-up system include:
- Timely ordering and tracking of lab tests, imaging studies, and referrals
- Timely communication of lab tests, imaging studies, and referrals
Any system failure or communication breakdown pertaining to these key areas can result in harmful patient outcomes.
The Joint Commission, a respected accreditation organization, has set the standards for communicating test results to patients by recommending that healthcare organizations have clear policies and procedures in place. The standards are as follows:
- Clearly define key terms (e.g., normal, abnormal, abnormal-noncritical, critical).
- Clearly outline physician responsibilities for engagement with patients on lab and test results.
- Establish procedures for fail-safe communication of abnormal test results, including incidental findings that may require attention and further testing and evaluation.
- Implement verbal and/or electronic reporting procedures for both critical and significantly abnormal laboratory, imaging, and other test values.
- Define “critical tests” and the acceptable length of time between their ordering and reporting.
- Specify time limits between the availability of test results and patient notification and identify preferred mechanisms for patient notification.
- Establish responsibilities for evaluating and monitoring communication procedures.² This entails ongoing attention to what works, what does not work, and how things might work better. It is a dynamic process.
Today, patients can easily access test results online, especially as practices increasingly adopt automated messaging and notification systems (via SMS text, e-mail, or secure patient portals) and telehealth services. These messaging systems must be secure and Health Insurance Portability and Accountability Act (HIPAA) compliant, given the exchange of sensitive health information between physicians and patients.
The Role of EHRs and Artificial Intelligence (AI) in Follow-Up Systems
In healthcare, the sheer volume of tests that are ordered, processed, tracked, and communicated is daunting. EHR systems and AI can play an important role in alleviating some of the administrative burden.
Most medical practices use EHR systems, many of which are designed to assist physicians with managing the ordering and tracking of tests. It is important that physicians take full advantage of the EHR’s capability and functionality in this area. In some cases, a physician may not be aware of the extent of EHR tools that can greatly assist with tracking test results. In those cases, it is best to consult the vendor or a consultant who can ensure that the EHR is providing optimal support with test tracking and monitoring. When considering what EHR system to employ, this capability should be a priority.
EHRs help physicians track ordered medical tests in several ways:
- Centralized documentation: EHRs provide a single, organized place where all ordered tests are recorded. Physicians can easily review what tests have been ordered for a patient without needing to search through paper charts or multiple systems.
- Order tracking and status updates: Many EHR systems allow physicians to see the status of ordered tests; whether they have been completed, are pending; or if test results have been received, preventing missed or delayed follow-ups.
- Automated alerts and reminders: EHRs can generate alerts or reminders if ordered tests have not been completed within a certain timeframe or if follow-up actions are needed based on test results, enhancing timely patient care.
- Integration with laboratory systems: It is optimal if the EHR system integrates directly with laboratory and information systems, enabling electronic ordering of tests and automatic receipt of results.
- Historical test data access: Physicians can easily access a patient’s historical test results, allowing ease of comparison over time while enhancing clinical decision making.
- Improved communication: EHRs facilitate communication among the healthcare team by making tests orders available and visible to all authorized physicians involved in the patient’s care.
Overall, closed loop test result management is critical to ensure that every abnormal clinical result is acknowledged by a clinician and that follow-up actions are documented and completed.3
Additionally, AI is significantly enhancing how physicians track the ordering of medical tests for their patients by improving accuracy, efficiency, and decision-making by:
- Automated order management: AI systems can automatically track and manage test orders within EHRs, ensuring that tests are scheduled, completed, and results are received without manual follow-up. This reduces the risk of missed or duplicate orders.
- Clinical decision support: AI algorithms analyze patient data and clinical guidelines to recommend appropriate tests, helping physicians order the right tests at the right time. This ensures adherence to best practices and reduces unnecessary testing.
- Alerting and reminders: AI-driven alerts notify physicians when ordered tests are overdue, results are pending, or follow-up tests are needed. This proactive tracking helps prevent delays in diagnosis or treatment.
- Prioritization and workflow optimization: By analyzing test urgency and patient status, AI helps prioritize test orders, optimizing lab and imaging workflow and improving patient care timelines.
- Data integration and visualization: AI tools integrate data from multiple sources and present test order statuses in intuitive dashboards, enabling physicians to easily monitor and manage all pending and completed tests for their patients.
- Reducing errors and duplication: AI can detect potentially redundant or conflicting test orders, prompting physicians to reconsider or consolidate testing, which enhances patient safety and reduces costs.4
Stanford Health has developed an in-house AI application which assists physicians in generating patient-friendly test result explanations by analyzing, interpreting, and communicating the test results to the patient’s physician for review before sending them to the patient. While AI technology may significantly streamline the process, a system must be in place to ensure physician oversight5 and their ability to close the loop on ordering and completing tests and receiving the results within a reasonable timeframe
so they may be relayed to the patient, and a treatment plan may be formulated.
AI supports physicians by streamlining the test ordering process, improving adherence to clinical guidelines, reducing errors, enabling timely follow-up, and enhancing patient care. Whereas some of AI’s capabilities may already be incorporated in the EHR being used, AI may supplement or expand these present capabilities.
These tools can improve reliability, but they do not replace clinical judgment or accountability. The responsibility to ensure follow-up ultimately remains with you.
It is apparent that with the aid of properly-used technology and tools, test tracking and monitoring can be streamlined, more efficient, and more reliable in preventing patient tests from falling through the cracks, thereby improving care and reducing the likelihood of malpractice cases where lack of follow-up is indicated.
Brad Dunkin, MHA, is Assistant Vice President, Risk Management and Patient Safety. Questions or comments related to this article should be directed to BDunkin@CAPphysicians.com.
¹Ellis, Lisa D. “Risks in General Medicine: Primary Allegations.” The Risk Management Foundation of the Harvard Medical Institutions. July 16, 2019. Accessed April 6, 2026. https://www.rmf.harvard.edu/Risk-Prevention-and-Education/Article-Catal…
²ECRI. “Ask ECRI: Communicating Critical Results.” October 31, 2024. Accessed April 22, 2026.
³Partnership for HIT Patient Safety. “Implementing Closing the Loop. Safe Practices for Diagnostic Results.” ECRI Institute. February 5, 2020. Accessed April 22, 2026. https://psnet.ahrq.gov/issue/implementing-closing-loop-safe-practices-d…
4Maleki Varnosfaderani, Shiva, and Mohamad Forouzanfar. “The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century.” Bioengineering. March 29, 2024. Accessed April 22, 2026. https://pmc.ncbi.nlm.nih.gov/articles/PMC11047988
5Armitage, Hanae. “AI Tool Assists Doctors in Sharing Lab Results.” Stanford Medicine News Center. January 10, 2025. Accessed April 22, 2026. https://med.stanford.edu/news/all-news/2025/01/ai-test-results.html