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The Evolution of Health Plans: AI’s Impact on Business Models

February 25, 2024 Leave a comment

In the rapidly evolving landscape of healthcare, the integration of Artificial Intelligence (AI) is poised to revolutionize the business models of health plans. From enhancing care coordination to streamlining claims processing, utilization management, authorizations, denials, enrollment, and customer service, AI presents unprecedented opportunities for efficiency, cost-effectiveness, and improved patient outcomes. In this article, I will explore the potential impact of AI across various facets of health plan operations, accompanied by hypothetical examples.

Enhancing Care Coordination:

AI-powered tools can analyze vast amounts of patient data from diverse sources, facilitating proactive identification of high-risk individuals and enabling personalized care plans. By leveraging predictive analytics and machine learning algorithms, health plans can optimize resource allocation and intervene early to prevent adverse health events.

Visualize a scenario where AI-driven predictive analytics tools analyze patient data from electronic health records (EHRs), wearable devices, and claims history to identify individuals at high risk of developing chronic conditions. These tools proactively alert care coordinators, enabling timely interventions such as personalized care plans, preventive screenings, and lifestyle modifications.

Streamlining Claims Processing:

Traditional claims processing is often plagued by inefficiencies, errors, and delays. AI solutions offer automated claims adjudication, reducing manual intervention and minimizing errors. Natural Language Processing (NLP) algorithms can extract relevant information from unstructured data, accelerating claims processing and improving accuracy.

Consider a health plan utilizing AI-powered Optical Character Recognition (OCR) technology to digitize and extract information from paper-based claims forms. By automating data entry and validation processes, AI reduces errors and accelerates claims processing turnaround times, resulting in improved provider satisfaction and operational efficiency.

Utilization Management Authorizations and Denials:

AI algorithms can analyze clinical guidelines, patient history, and evidence-based research to support utilization management decisions. By automating authorization processes, AI reduces administrative burden, enhances consistency, and ensures adherence to best practices. Moreover, real-time data analysis enables proactive identification of potential denials, facilitating timely interventions and appeals.

In a hypothetical scenario, an AI-driven utilization management system analyzes clinical guidelines, patient history, and evidence-based research to determine the medical necessity of a requested procedure. The system flags cases where deviations from standard protocols occur, prompting further review by clinical experts. This automated approach ensures consistent decision-making, reduces administrative burden, and minimizes unnecessary healthcare expenditures

Streamlining Enrollment Processes:

AI-driven chatbots and virtual assistants streamline enrollment processes by guiding individuals through complex forms, answering queries, and providing personalized recommendations. Machine learning algorithms analyze demographic data and historical trends to predict enrollment patterns, enabling health plans to optimize resource allocation and marketing strategies.

Envisage a prospective member visiting a health plan’s website seeking information about available coverage options. Through AI-powered chatbots, the individual receives personalized assistance, guiding them through the enrollment process, explaining plan benefits, and addressing queries in real-time. Natural Language Processing (NLP) algorithms enable these chatbots to understand and respond to members’ inquiries accurately, enhancing the overall enrollment experience.

Transforming Customer Service:

AI-powered virtual agents offer round-the-clock support, addressing member inquiries, resolving issues, and providing real-time assistance. Natural Language Understanding (NLU) enables these agents to comprehend complex queries and deliver accurate responses, enhancing member satisfaction and retention.

Consider a scenario where a health plan member contacts customer service to inquire about coverage details for a specific medical procedure. An AI-driven virtual assistant promptly retrieves the relevant information from the member’s policy and provides detailed explanations, ensuring seamless and efficient interaction. Through continuous learning, these virtual assistants improve their responsiveness and accuracy over time, leading to enhanced member satisfaction and loyalty.

AI represents a paradigm shift in the business models of health plans and the integration of AI into health plan business models heralds a new era of efficiency, effectiveness, and member-centricity. By leveraging AI technologies across care coordination, claims processing, utilization management, enrollment, and customer service, health plans can navigate the complexities of modern healthcare delivery while delivering superior value to their members and stakeholders.

Maximizing Healthcare Efficiency: The Benefits of Managed Care

January 17, 2024 Leave a comment

Managed care, as a strategic approach to healthcare delivery, encompasses various models designed to improve efficiency, quality, and accessibility. This brief article explores the benefits of managed care, encompassing aspects such as cost containment, patient engagement, innovation, and the integration of behavioral health services.

Cost Containment, Efficiency, and Improved Access to Healthcare Services: Numerous studies highlight the effectiveness of managed care in containing healthcare costs while maintaining efficiency. Utilization management, negotiated provider contracts, and other cost-containment strategies contribute to financial sustainability, ensuring that resources are optimally allocated. Managed care prioritizes preventive care and early intervention, leading to improved access to healthcare services.  This focus on proactive measures facilitates timely interventions, resulting in better health outcomes and reduced overall healthcare expenditures.

Care Coordination, Integration, and Quality Improvement Initiatives: An essential component of managed care is the emphasis on care coordination and integration.  Coordinated care models ensure seamless collaboration among healthcare providers, leading to enhanced continuity of care and improved patient experiences. Managed care organizations (MCOs) implement evidence-based practices and continuous monitoring to improve the quality of healthcare services. This commitment to quality improvement results in positive patient outcomes and contributes to the overall effectiveness of managed care.

Patient Engagement , Shared Decision-Making and Provider Performance Measurement and Accountability: Managed care models actively engage patients in their healthcare decisions. Patient education, shared decision-making, and personalized care plans empower individuals to actively participate in their health, fostering a collaborative relationship with healthcare providers. : Managed care emphasizes provider performance measurement and accountability through quality metrics and outcome assessments. This focus on accountability fosters a culture of excellence among healthcare providers, driving continuous improvement.

Innovation in Healthcare Delivery: Managed care encourages innovation in healthcare delivery, exploring new approaches to enhance effectiveness and efficiency. The incorporation of telehealth services, value-based care arrangements, and other innovative solutions ensures that managed care remains adaptable to evolving healthcare needs.

Integration of Behavioral Health Services: The integration of behavioral health services with primary care in MCOs address both physical and mental health needs. This coordinated approach reduces fragmentation, improves outcomes, and contributes to a more holistic model of healthcare delivery.

Flexibility in Benefit Design and Efficient Utilization of Resources: MCOs offer flexibility in benefit design, allowing customization to meet the diverse needs of enrollees. This adaptability enables managed care organizations to respond to changing healthcare trends and tailor benefits to specific populations. Managed care prioritizes the efficient utilization of healthcare resources through utilization review processes and evidence-based guidelines. Optimizing resource allocation reduces unnecessary services and ensures resources are directed toward interventions with the greatest clinical benefit.

Risk Management and Population Health: MCOs actively engage in risk management and population health strategies. By analyzing health data and identifying at-risk populations, MCOs can implement targeted interventions, preventive measures, and wellness programs to address health disparities and improve the overall health of communities.

In conclusion, managed care emerges as a comprehensive and effective approach to healthcare delivery, offering benefits that extend from cost containment to improved patient engagement, innovation, efficient resource utilization, and risk management. Empirical evidence supports the positive impact of managed care, affirming its role in shaping a sustainable and patient-centered healthcare system.

Challenges Faced by Medicaid Managed Care Plans and Strategies for Overcoming Them 

January 12, 2024 Leave a comment

Medicaid managed care plans play a crucial role in the U.S. healthcare system, serving as a mechanism to deliver cost-effective and coordinated care to vulnerable populations. However, these plans are not without their challenges. This article will explore some of the key hurdles faced by Medicaid managed care plans and their strategic objectives for meeting and overcoming these challenges.

One significant challenge is the complexity of Medicaid’s beneficiary population. Managed care plans are tasked with serving diverse groups, including low-income families, elderly individuals, and those with disabilities. The unique healthcare needs of these populations require tailored approaches, making it challenging for health plans to provide a one-size-fits-all solution. The heterogeneity of the Medicaid population necessitates flexibility and adaptability in managing care effectively.

Financial constraints pose another formidable challenge. Medicaid is jointly funded by states and the federal government, and as such, managed care plans operate within tight budgetary constraints. This financial pressure can limit the resources available for comprehensive care, preventive services, and addressing social determinants of health. Striking a balance between cost containment and quality care remains an ongoing challenge for Medicaid managed care.

Furthermore, the administrative burden associated with Medicaid managed care plans is a notable concern. Compliance with regulations, reporting requirements, and paperwork can be overwhelming for both plans and healthcare providers. The administrative complexity may divert resources away from direct patient care and contribute to provider fatigue, potentially impacting the overall deliver of quality of care.

Provider network adequacy is a persistent challenge in the Medicaid managed care landscape. Ensuring that beneficiaries have access to a comprehensive network of healthcare providers, including specialists, is crucial for delivering quality care. However, achieving and maintaining an adequate provider network, especially in rural or underserved areas, remains an ongoing challenge. Limited provider participation can result in reduced access to timely and appropriate care for Medicaid beneficiaries.

The social determinants of health add an additional layer of complexity to Medicaid managed care. Issues such as housing instability, food insecurity, and transportation barriers can significantly impact health outcomes. Addressing these social determinants requires a collaborative effort between managed care plans, community organizations, and social service agencies. Coordinating such efforts can be intricate and time-consuming, posing a challenge for plans aiming to improve health equity.

While Medicaid managed care plans strive to provide cost-effective and coordinated care to vulnerable populations, they face a myriad of challenges. From the diverse healthcare needs of beneficiaries to financial constraints and administrative complexities, these challenges underscore the need for ongoing innovation and collaboration within the healthcare system. Despite these hurdles, the potential benefits of managed care in improving health outcomes and cost-efficiency make addressing these challenges crucial for the overall success of Medicaid managed care.

Strategies for Overcoming Challenges in Medicaid Managed Care Plans

As previously stated, Medicaid managed care plans encounter various challenges, including the diverse healthcare needs of beneficiaries, financial constraints, administrative burdens, and social determinants of health. Strategies for overcoming these challenges involve tailored care models, innovative payment structures, technology integration, enhanced provider network management, addressing social determinants, and streamlined regulatory compliance. Additional approaches include patient and provider education, outcome measurement, advanced care coordination, flexible benefit design, community partnerships, and continuous feedback mechanisms. Embracing these strategies fosters a culture of continuous improvement, collaboration, and innovation, positioning Medicaid managed care plans to navigate current challenges and proactively address future complexities in the dynamic healthcare landscape.

Tailored Care Models:

Recognizing the diversity of the Medicaid beneficiary population, managed care plans should adopt more personalized care models. This involves developing targeted interventions and care plans that consider the unique healthcare needs of specific subgroups within the Medicaid population, such as those with chronic conditions, the elderly, or individuals with disabilities.

Innovative Payment Models:

To navigate the financial constraints associated with Medicaid, managed care plans can explore innovative payment models. Value-based care arrangements, where providers are incentivized based on patient outcomes rather than service volume, have shown promise in improving quality while containing costs. By aligning financial incentives with positive health outcomes, managed care plans can encourage preventive care and reduce unnecessary healthcare utilization.

Technology Integration:

Leveraging technology can streamline administrative processes and improve care coordination. Electronic health records, telehealth services, and data analytics tools can enhance communication between healthcare providers, reducing administrative burdens and improving the efficiency of care delivery. Additionally, technology can support better monitoring of health outcomes and identification of areas for improvement.

Enhanced Provider Network Management:

To address concerns about provider network adequacy, managed care plans should actively engage in strategic provider network management. This involves continuous evaluation and expansion of provider networks, particularly in underserved areas. Collaborative efforts with healthcare associations and incentives for providers to participate in Medicaid networks can help ensure beneficiaries have access to a broad range of services.

Social Determinants Integration:

Acknowledging the impact of social determinants of health, managed care plans should collaborate with community organizations and social service agencies. By integrating social services into healthcare delivery, plans can address housing instability, food insecurity, and transportation barriers. This holistic approach contributes to improved health outcomes and addresses the root causes of health disparities.

Streamlined Regulatory Compliance:

Efforts to streamline regulatory compliance can alleviate administrative burdens. Collaboration between managed care plans and regulatory bodies to simplify reporting requirements, reduce paperwork, and enhance communication can enhance the efficiency of plan operations. This, in turn, allows providers to focus more on direct patient care.

Patient and Provider Education:

Improving health literacy among Medicaid beneficiaries and providers is integral to the success of managed care plans. Educational initiatives can enhance patient understanding of available services, preventive measures, and the importance of proactive healthcare engagement. Simultaneously, providing ongoing education to healthcare providers on best practices within the managed care framework fosters better collaboration and adherence to care guidelines.

Outcome Measurement and Quality Metrics:

Establishing robust outcome measurement and quality metrics is essential for evaluating the effectiveness of managed care plans. Regularly assessing patient outcomes, satisfaction levels, and adherence to preventive care measures allows plans to identify areas for improvement and implement targeted interventions. Transparency in reporting these metrics fosters accountability and supports informed decision-making for both beneficiaries and healthcare providers.

Care Coordination Platforms:

Investing in advanced care coordination platforms can significantly improve the efficiency of managed care. These platforms facilitate seamless communication and information sharing among healthcare providers, reducing duplication of services and enhancing the overall quality of care. Integration with electronic health records ensures a comprehensive view of a patient’s medical history, enabling more informed decision-making.

Flexibility in Benefit Design:

Recognizing the dynamic healthcare needs of Medicaid beneficiaries, managed care plans should embrace flexibility in benefit design. Tailoring benefits to address social determinants of health, such as access to housing support or transportation services, can contribute to better health outcomes. Customizing benefits based on regional or demographic considerations ensures that the diverse needs of the population are adequately met.

Community Partnerships:

Building strong partnerships with community organizations, local government agencies, and advocacy groups is crucial for addressing the multifaceted challenges faced by Medicaid managed care plans. Collaboration with non-profit organizations can provide additional resources for addressing social determinants of health, while partnerships with local clinics and community health centers can expand access to primary care services.

Continuous Feedback Mechanisms:

Establishing continuous feedback mechanisms involving both beneficiaries and healthcare providers is vital for adapting to evolving needs. Regular surveys, focus groups, and town hall meetings create opportunities for open dialogue. This feedback loop empowers managed care plans to make informed adjustments, ensuring that the care delivery model remains responsive to the dynamic healthcare landscape.

In conclusion, overcoming the challenges faced by Medicaid managed care plans requires a combination of innovative strategies, collaboration, and a commitment to patient-centered care. By tailoring care models, exploring new payment structures, embracing technology, managing provider networks strategically, addressing social determinants, and streamlining regulatory compliance, managed care plans can enhance their ability to deliver high-quality, cost-effective care to Medicaid beneficiaries. Through these efforts, the healthcare system can better fulfill its mission to serve vulnerable populations and improve health outcomes.

Managing Physician Practice Patient No-Shows

January 8, 2024 Leave a comment

Physician Practice Patient No-Shows:

  • How many can you expect?
  • How can you prevent them?
  • How can you reduce their frequency?

The average no-show rate for physician practices can range from as low as none to as high as 60 percent of all appointments.  Most practices experience an average of 5 to 7 percent. (Woodcock 2007, 178)

Practices in which physicians rotate between different sites tend to have a higher rate of no-shows.  Patients may get confused as to which site to visit.  The less loyalty patients have to a physician, the more likely they will be no-shows. (Woodcock 2007, 179)

Practices that schedule appointments too far in advance may find that patients make alternate plans for the scheduled time-frame.  Patients given appointments well into the future may decide to locate other physicians who can see them sooner, start to feel better, or simply forget.

Some MGMA scenarios and best practices (Woodcock 2007, 179-180):

No shows aren’t just an administrative problem.  Their causes may be deeply rooted in emotions and attitudes about your practice.  Consider these comments and what’s really behind the emotion expressed:

  • “You’re so busy, you won’t miss me.”  Warn practice staff not to express relief at a no-show or cancellation, even on their busiest day.  Patients will get the message that their absence is actually welcomed.
  • “I hope I can remember this appointment.”  Patients tend to lose those little appointment cards.  If your patients are forgetting about their appointments, don’t schedule them more than three months in advance.  Instead, call the patients six weeks ahead of time to schedule.
  • “I feel wonderful; is there any reason for me to come in to be seen?”  Remind patients, especially those with chronic illnesses, that routine preventive visits are important to their care, even when there are no symptoms to report.
  • “I’ll just hear bad news.”  Handle the emotional side of medical care by addressing patients’ fears head on.  For patients you’re concerned about or for the services most patients find fearful, ask a nurse to make contact two or three days before the appointment to give last-minute support.
  • I tried to cancel, but I couldn’t get through.”  Set up a 24-hour/seven day-a-week cancellation voice mail and email address so patients can cancel or ask for scheduled changes at any time.  Make sure someone is held accountable to monitor all such messages and to contact patients to reschedule within one working day of their communication.
  • “You’re the one who moved my appointment.”  Avoid cancelling clinics without ample notice, and offer alternative access to patients whose appointments have been moved.

Being knowledgeable about the emotional side of no-shows will help prevent at least some of them – and improve the care delivered to your patients.

Managing the Frequency of No-Shows

Here are ideas from MGMA resources and the healthcare industry to reduce patient no-shows (Baginski 2010):

  • Track the reasons each patient gives for a no-show. Trends in excuses can help point to solutions. For example, are they covered by a certain insurance carrier, seen by the same physician or on a certain day of the week?
  • Call your patients to reschedule their missed appointments. In this economy, you can’t afford to wait for patients to call you back.
  • Set automated reminder phone calls the day before an appointment.
  • Or, even better, have staff make routine reminder calls the day before an appointment. Research from the American Journal of Medicine shows this is more effective than automated phone systems – but certainly more time consuming.
  • Send postcards/mailers a few weeks in advance to remind patients of their appointments.
  • Develop a call list of patients who are able to come in for short-notice appointments. When a no-show happens, these patients may be able to fill the empty spot.
  • Allow patients to prepay for their next appointment, giving them an incentive to return.
  • Send “Sorry we missed you!” appointment letters (with or without fees) to patients.
  • Place a nominal charge on your patient’s bill that will clear when the patient shows up for the appointment. If they do not show, the patient will pay the charge.
  • Reward patients who show up on time with discounts on their bill.
  • Limit appointments per patient to one per week.
  • Explore ways to text appointment reminders to interested patients. Kaiser Permanente recently implemented SMS and its pilot program showed a .73 percent improvement in no-shows, saving $150 per appointment.
  • Provide the option to send your patients an e-mail appointment reminder.
  • Update/confirm contact information when a patient makes an appointment. This will help you track down patients who don’t show.
  • Print future appointments on a business card to give to the patient before they leave your office. “I couldn’t read the handwriting” excuses won’t fly with this method.
  • Have patients repeat the date and time of their next appointments, whether they’re in your office or on the phone.
  • Discharge patients who accumulate a set amount (your choice) of no-shows in a year.
  • Charge for same-day cancellations (which can be just as bad as no-shows), unless it’s an emergency.
  • For patients who use public transportation, remind them to schedule their appointment according to the transportation schedule.
  • Schedule repeat offenders during a time that has less of an effect to the overall schedule.
  • Consider overbooking when appropriate. Overbooking doesn’t have to mean double booking. It could be shortening time between visits or adding more visits to a certain time of day. But beware – longer wait times and lack of understanding about scheduling can leave patients feeling disrespected, according to an Annals of Family Medicine research article.
  • Always thank patients who cancel and reschedule well in advance of your no-show policy. A little goodwill can go a long way.
  • Schedule accurately so patients don’t have long wait times, which may lead them to believe that the practice doesn’t value their time, convincing them to not value yours.
  • Compare the number of patients handled by each of your doctors and their clinical staff.  Consider reassigning the load so patients are evenly distributed and seen by the provider they visit with the most.
  • Evaluate your practice management system to see if it can supplement or automate any tracking or patient reminder tools you’re currently using.
  • Hold a gift card drawing for all patients who show up on time in a given month.
  • Clearly explain, and have new patients sign, a written no-show policy.
  • Elizabeth Woodcock, MBA, FACMPE, CPC, in the book Mastering Patient Flow, offers the following suggestions to reduce the number of no-shows:
    • Develop strong relationships with patients to increase their commitment to your practice. Suggestions include sending birthday or holiday cards and assigning nurses to specific patients to work and follow up with.
    • Schedule appointments within a reasonable time of the patient’s call. The longer the lapse, the greater the chance of a no-show.
    • Switch to open or advanced access scheduling to provide appointments the same day a patient is looking for an appointment.

 

Overbooking Appointments as a Possible Solution

The challenge of balancing the interests of patients with those of the physician is increased when patients fail to show up for scheduled appointments.  Overbooking appointments mitigates the lost productivity caused by no-shows but increases patient wait time and physician overtime.  Basically, when patients fail to show up for their scheduled appointments, physician productivity and efficient clinic capacity are reduced (Cayirili 2003).  To mitigate this loss, healthcare clinicians have experimented with a number alternative appointment scheduling policies. Some clinics overbook appointments by double-booking patients into common appointment times and relying on no-shows to allow the schedule to catch up (Chung 2002).  Others have experimented with “wave scheduling” policies that build extra appointments into a schedule to boost better productivity and leave the other appointment slots empty (Silver 1975).  This combination allows a schedule to catch up after backlogging occurs, thus reducing patient wait time and reducing the need for clinic overtime.  Practitioners have reported success in managing appointment schedules with these and other similar approaches, but their accounts have been anecdotal and do not analyze or describe how scheduling performance relates to no-shows or other system characteristics (Chesanow 1996) (Chung 2002) (Baum 2001).

In 2007, two University of Colorado researchers (Linda R. LaGanga and corresponding author Stephen R. Laurence) won a 2007 Best Paper Award from Decision Sciences for proposing overbooking as a solution for the loss of productivity for physician clinics when patients fail to show up (LaGanga and Lawrence 2007).  In their paper, the authors propose to build upon and extend the double-booking, block scheduling, and wave-scheduling devised by practicing clinicians to develop and measure the performance of a number of scheduling rules based on these policies.  The authors suggest that physician practices adjust traditional appointment scheduling performance measures to capture the dynamics of overbooked appointment scheduling systems, determine their effectiveness when overbooking is used to compensate for the lost productivity of no-shows, and provide recommendations for improving performance in overbooked appointment scheduling systems.  LaGanga’s and Laurence’s analysis is potentially useful for schedulers and providers to identify and evaluate operational policy changes that will boost clinic productivity and improve patient services.

Dr. LaGanga, who is also director of quality systems and operational excellence at the Mental Health Center of Denver, a state-contracted facility, said the model allows users to place a value on wait time and productivity.

For small private practices where the percentage of no-shows is low, the value placed on limiting wait times likely will be greater than for a busy practice that serves mostly managed care members or a specialty practice where the competition is minimal. So, in general, the practices for which benefits of overbooking outweigh the risks likely will be large, busy practices that have a high percentage of no-shows.

A misconception of overbooking is that it means double-booking. But overbooking could be as simple as shortening the time between visits or increasing the number of visits for a particular time of day. For example, if the average no-show rate is 30%, and the average time allotted per visit is 15 minutes, a practice could reduce that 15 minutes by 30% and allow only 10.5 minutes per appointment, resulting in more appointment slots (LaGanga and Lawrence 2007).

 

Effects of Overbooking

LaGranda and Laurence created computer simulations to see how overbooking might affect patient wait times and physician overtime. This illustration uses a 50% no-show rate because, the researchers said, although unusually high, it’s easy to illustrate how overbooking relative to the no-show rate would impact the daily schedule. In this case, the clinic would book 10 appointments in five appointment slots, assuming only half would show up (LaGanga and Lawrence 2007):

Patient Arrival Pattern

Effect

Spaced throughout the day No effect on physician. No patients waiting.
Bunched early in the day Physician runs behind early in the day but catches up, preventing overtime. Patient wait times extend throughout the day but are eliminated toward the end of the day.
Last appointment of the day is late Physician stays on schedule until the late arrival, which creates idle time that turns into overtime by the end of the day. No patients waiting.
Bunched late Physician experiences idle time midday and experiences overtime. Patients experience waits late in the day.
More patients arrive than predicted Physician runs behind schedule and stays behind for the entire day. Patients experience waits throughout the day.

Risks of Overbooking

The researchers further developed simulation models to determine the impact overbooking would have on clinics, depending on clinic size. Size is measured by the number of appointments per day. This model shows the impact overbooking would have on patient wait times, assuming all patients show up, instead of no-shows continuing at their usual rate. This model assumes appointments are 15 minutes long, but it can be adjusted for any appointment length (LaGanga and Lawrence 2007):

Patient wait time

No-show rate

Appointments per day

10 20 30 40 50
10% 5 min. 6 min. 7 min. 8 min. 16 min.
20% 11 min. 12 min. 17 min. 18 min. 22 min.
30% 11 min. 16 min. 18 min. 20 min. 25 min.
40% 14 min. 16 min. 20 min. 25 min. 30 min.
50% 14 min. 19 min. 20 min. 30 min. 35 min.

Physician overtime

No-show rate

Appointments per day

10 20 30 40 50
10% 8 min. 12 min. 15 min. 16 min. 29 min.
20% 16 min. 18 min. 30 min. 30 min. 38 min.
30% 15 min. 29 min. 33 min. 35 min. 41 min.
40% 18 min. 29 min. 39 min. 45 min. 46 min.
50% 18 min. 33 min. 43 min. 49 min. 55 min.

Dr. Lawrence stated that “the real cost is if you do overbooking, there will be patient waits and overtime to be sure.” But he argues that overbooking could still be beneficial for some practices. The dilemma is determining when it might work or when the stakes are too high (LaGanga and Lawrence 2007).

References
Baginski, Caren. MGMA In Practice blog . July 9, 2010. http://blog.mgma.com/blog/bid/34426/30-ways-to-reduce-patient-no-shows (accessed November 25, 2011).

Baum, Neil H. “Control your scheduling to ensure patient satisfaction.” Urology Times 29, no. 3 (2001): 38-43.

Cayirili, Tugba. “Outpatient scheduling in health care: a review of literature.” Production and Operations Management 12, no. 4 (2003): 519-549.

Chesanow, Neil. “Can’t stay on schedule? Here’s a solution.” Medical Economics 73, no. 21 (1996): 174-180.

Chung, M. K. “Tuning up your patient schedule.” Family Practice Management (41-48) 9, no. 1 (2002).

LaGanga, Linda R., and Stephen R. Lawrence. “Clinit Overbooking to Improve Patient Access and Increase Provider Productivity.” Decision Sciences 38, no. 2 (May 2007): 251-276.

Silver, M. “Scheduling: Least developed art.” Family Practice News 5, no. 32 (1975): 34.

Woodcock, Elizabeth W. Mastering Patient Flow: Using Lean Thinking to Improve Your Practice Operations. Engelwood: MGMA, 2007.