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Tag: healthcare

  • Understanding the Debate on AI in Electronic Health Records

    Understanding the Debate on AI in Electronic Health Records

    Background

    Artificial Intelligence (AI) refers to the use of computer algorithms to process data and make decisions, ultimately streamlining administrative processes. In healthcare, AI is being increasingly integrated with Electronic Health Records (EHRs)—digital systems that store and manage patient health information, such as medical history and diagnoses. By 2021, almost 80% of office-based physicians and virtually all non-federal acute care hospitals had implemented an EHR system. As part of this widespread adoption, various AI applications in EHRs are beginning to emerge. So far, the main functions of AI in EHRs include managing datasets of patient health information, identifying patterns in health data, and using these patterns to predict health outcomes and recommend pathways for treatment. 

    Arguments in Favor of AI in EHRs

    The use of AI in EHRs presents opportunities to improve healthcare by increasing efficiency as well as supplying administrative support. Supporters of AI integration argue that it can significantly improve diagnostic accuracy. AI-integrated EHR systems can analyze vast amounts of patient data, flagging potential issues that might otherwise be overlooked by human clinicians. Machine learning algorithms can identify patterns across multiple cases and recommend diagnoses or treatments based on evidence from similar cases. Proponents contend that by reducing human error and providing real-time insights, AI could support doctors in making more accurate and quick decisions, leading to better patient outcomes.

    Proponents of AI in EHRs also argue that AI has the potential to significantly reduce healthcare inequities by providing better access and more personalized care for underserved populations. AI-powered tools can identify at-risk patients early by analyzing complex data, including demographic and behavioral factors, and help prioritize interventions for those who need it most. Additionally, AI can bridge communication gaps for patients facing language barriers or low health literacy, ensuring they receive clear and relevant information about their health. Supporters also suggest that AI’s ability to reduce human biases in clinical decision-making, such as disparities in pain assessment or treatment recommendations, could lead to fairer, more equitable healthcare outcomes for all.

    From the workforce perspective, supporters argue that AI integration in EHRs has the ability to significantly reduce physician burnout by streamlining the documentation process. With the increasing time spent on EHR tasks, AI-driven tools like voice-to-text transcription, automated note generation, and data entry can cut down the time physicians devote to administrative duties. For instance, one 2023 study reported that AI integration in health records led to a 72% reduction in documentation time, equating to approximately 3.3 hours saved per week per clinician. This allows doctors to spend more time on direct patient care and less on paperwork, which supporters contend will improve job satisfaction and reduce stress.

    Arguments Against AI in EHRs

    While some argue that AI in EHRs will lead to more accurate and equitable healthcare, others raise concerns regarding data bias, privacy, and transparency. Critics of AI integration argue that modern legal frameworks lack adequate safeguards for individuals’ health data, leaving sensitive information vulnerable to breaches. For example, data collected by AI tools may be hacked or gathered without consent for marketing purposes. Additionally, certain genetics testing companies that operate without sufficient legal oversight may sell customer data to pharmaceutical and biotechnology companies.

    Moreover, some critics share concerns about whether AI integration in EHRs aligns with standards for informed consent. Informed consent is a key ethical principle that ensures patients are fully informed and in control of decisions regarding their healthcare. It includes elements such as the patient’s ability to understand and make decisions about their diagnoses, treatment options, and any risks involved. Ethical responsibility dictates that consent should be specific, voluntary, and clear. The rise of AI in healthcare applications has increased concerns about whether patients are fully aware of how their data is used, the risks of procedures, and potential errors in AI-driven treatments. Autonomy principles state that patients have the right to be informed about their treatment process, the privacy of their data, and the potential risks of AI-related procedures, such as errors in programming. Critics say that patients must be more informed about how AI is integrated into health records systems in order for them to truly provide informed consent. 

    Another significant ethical concern in the use of AI and machine learning (ML) in healthcare is algorithmic bias, which can manifest in racial, gender, and socioeconomic disparities due to flaws in algorithm design. Such biases may lead to misdiagnosis or delayed treatments for underrepresented groups and exacerbate inequities in access to care. To address this, advocates push for the prioritization of diverse training data that reflects demographic factors. They hold that regular evaluations are necessary to ensure that AI models consistently remain fair over time, upholding the principles of justice and equity. 

    Future Outlook

    Building on the potential of AI in healthcare, H.R. 238, introduced on January 7, 2025, proposes that AI systems be authorized to prescribe medications if they are approved by the Food and Drug Administration (FDA) and if the state where they operate permits their use for prescribing. This bill represents a significant step in integrating AI into clinical practices, going beyond data management to reshape how medications are prescribed and managed. The arguments for and against H.R. 238 mirror the debate around AI integration in EHRs; while proponents of the bill argue that AI could enhance patient safety, reduce errors, and alleviate clinician burnout, critics highlight concerns regarding the loss of human judgment, data privacy, and the potential for AI to reinforce biases in healthcare. As AI continues to play a central role in healthcare, bills like H.R. 238 spark important discussions about AI’s ethical, practical, and legal implications in clinical decision-making.

    Summary

    In conclusion, the integration of AI into EHRs has forced medical stakeholders to balance a need for improvements in accuracy and efficiency with a concern for medical ethics and patient privacy. On one hand, AI can support more accurate diagnoses, enhance patient care, and help reduce the burnout faced by healthcare providers. Additionally, AI may contribute to reducing healthcare inequities by providing better access and more personalized care, especially for underserved populations. However, the implementation of AI also raises concerns regarding data privacy, algorithmic bias, and informed consent, suggesting a need for more careful implementation and oversight. As AI’s presence in healthcare settings continues to expand, addressing these concerns will be key to ensuring it benefits patients and healthcare providers alike.

  • Understanding the Connected MOM Act: Federal Intervention in State Maternal Health Medicaid Coverage

    Understanding the Connected MOM Act: Federal Intervention in State Maternal Health Medicaid Coverage

    Introduction to Medicaid and Maternal Health Coverage

    Medicaid is a healthcare program designed to cover specific medical costs for individuals with lower incomes and limited resources. While the federal government sets baseline regulations and retains oversight authority over Medicaid programs, states maintain primary responsibility for program administration, which leads to variation in Medicaid coverage across the nation. Many state Medicaid programs offer insurance coverage for pregnant individuals through mechanisms such as presumptive eligibility. Presumptive eligibility allows certain vulnerable populations to receive coverage before their application for Medicaid is fully processed. For example, Iowa’s presumptive Medicaid coverage extends Medicaid benefits to all pregnant applicants while their eligibility is being determined, regardless of the final outcome.

    Maternal health remains a critical concern in the United States, where indicators such as preterm births and maternal mortality have continued to rise despite targeted policy interventions. A key factor in improving maternal health outcomes is access to high-quality prenatal care, yet adequate access to prenatal care is declining. A significant reason that many people cannot access adequate prenatal care is a lack of insurance coverage or sporadic insurance coverage during their pregnancy. Research emphasizes that increasing insurance coverage for pregnant people can improve access to prenatal care, which can improve maternal health outcomes.


    While federal regulations mandate certain Medicaid services, including maternal healthcare, the specifics of maternal health coverage are left largely to the discretion of individual states. For instance, Iowa’s presumptive eligibility for pregnant people continues until the applicant receives a determination of full Medicaid eligibility. In contrast, Minnesota’s hospital-based presumptive coverage for pregnant people only lasts for a month. 

    S.141 and the Scope of Federal Intervention

    Introduced on January 16, 2025, S.141—or the Connected MOM Act—aims to identify and address barriers to Medicaid coverage of health monitoring devices in an effort to improve maternal health outcomes. Given that health monitoring devices can expand access to prenatal care by allowing physicians to remotely monitor health metrics, the bill aims to explore how pregnant people might face challenges in obtaining these devices. The bill proposes investigating state-level obstacles to coverage of remote physiologic devices, which include: 

    • Blood pressure cuffs (used to monitor blood pressure)
    • Glucometers (used to assess blood glucose levels)
    • Pulse oximeters (used to measure blood oxygen saturation)
    • Thermometers (used to track body temperature)

    These devices enable at-home monitoring of key health metrics, facilitating earlier intervention for dangerous pregnancy-related conditions. According to legal experts, such investigative efforts generate data that can inform and support future policy development. S.B. 141, which has received bipartisan support, is currently under review by the Senate Finance Committee.

    Perspectives on S.B. 141 and Federal Medicaid Interventions

    Investigative legislation like the Connected MOM Act allocates funding for evidence-gathering to guide future policy decisions. In this case, the bill aims to collect information on how states manage Medicaid coverage for remote physiologic devices that are critical during pregnancy, with the long-term goal of shaping federal Medicaid policies. While supporters of the Connected MOM Act argue that it will provide necessary insights to catalyze Medicaid expansion for pregnant people, others point to the rules and regulations of Medicaid which make it difficult for the federal government to intervene broadly in state Medicaid programs. Given the structural limits on federal influence over state-run Medicaid programs, broad national reforms are often considered too costly or unlikely to yield systemic change. This dynamic was evident in the fate of H.R. 3055—the Black Maternal Health Momnibus Act—which failed to advance beyond the committee stage. Supporters of the Connected MOM Act argue that its incremental, investigative approach will help justify future reforms without being perceived as broad federal overreach. 

    Conclusion

    Each state administers its own Medicaid program, resulting in variations in coverage for certain medical devices, including remote health monitoring devices. Given the importance of these devices in expanding access to prenatal care, S.B. 141 seeks to investigate the best course of action for improving coverage of them across the nation. As it moves through committee, S.B. 141 may give insights on how policymakers can strategically navigate limits on federal power over state health programs.

  • Pros and Cons of Congressional Term Limits

    Pros and Cons of Congressional Term Limits

    Background: What are Congressional Term Limits?

    While members of the U.S. House of Representatives serve two-year terms and U.S. Senators serve six-year terms, all Congresspeople are eligible for re-election indefinitely. As of 2023, U.S. Representatives served an average term of 8.5 years, while U.S. Senators served an average term of 11.2 years. 

    Congressional term limits are a proposed constitutional amendment that would limit the number of terms a member of Congress can legally serve. Under Article V, the Constitution can be amended by either (1) a two-thirds vote of support in both chambers of Congress, or (2) a constitutional convention called by two-thirds of all states and ratified by three-fourths of all states. Term limits reached their highest level of political salience in the 1990s. In 1992, Arkansas voters attempted to impose term limits on their state’s federal congresspeople via an amendment to their state constitution. In U.S. Term Limits, Inc. v. Thornton, the Supreme Court decided that this amendment was unconstitutional and that states cannot impose term limits on their own federal delegation; the only way to impose congressional term limits is to amend the U.S. Constitution. 

    Current Attempts to Impose Congressional Term Limits

    In 2024, Representative Ralph Norman (R-SC) introduced a joint resolution to amend the Constitution and enact a three-term limit for Representatives and a two-term limit for Senators. The resolution died in committee. In January 2025, Senators Ted Cruz (R-TX) and Katie Britt (R-AL) introduced a resolution with the same provisions. Their proposed amendment was co-sponsored by 17 senators, all of whom are Republicans. 

    While the constitution has never been amended through a constitutional convention, some states are also taking that approach to impose congressional term limits due to limited success of prior joint resolutions in Congress. Indiana’s State Senate recently voted to approve a resolution calling for a convention to consider term limits. If the Indiana House passes the resolution, Indiana will become the tenth state to call for a constitutional convention, joining Alabama, Florida, Louisiana, Missouri, North Carolina, Oklahoma, Tennessee, West Virginia, and Wisconsin. 

    Arguments In Favor of Congressional Term Limits

    The case for congressional term limits centers on the following arguments: (1) Term limits motivate politicians to get more done while in office, (2) Congressional turnover eliminates the incumbent funding advantage, (3) Term limits reduce careerism in politics, and (4) Congressional term limits have widespread support.

    One common argument in favor of congressional term limits is that the policy will incentivize politicians to act more efficiently and effectively during their term given the knowledge that they cannot serve indefinitely. Some argue that today, legislators avoid taking immediate action on hot-button issues like immigration and healthcare because they know those issues drive voters to the polls. These proponents argue that congressional term limits would help shift lawmakers’ core objective from winning re-election to creating effective, long-term policy solutions. 

    Advocates for congressional term limits also express concern that members of Congress are unrepresentative of their constituents, especially in terms of economic status. They highlight that funding has become a barrier to becoming an elected official and that incumbency is often linked with disproportionately high campaign funds, making it difficult for newcomer candidates to win against an incumbent. Proponents of term limits say the policy would reduce this incumbent advantage, leveling the funding playing field every two or three terms so that candidates have more of an equal financial footing heading into their race. Supporters also suggest that term limits could indirectly decrease the role of corporate funders in politics by deterring companies from making major investments in lawmakers who will only hold power for a short period. 

    Other proponents of congressional term limits argue that the policy would limit careerism in Congress by making room for people with more real-world expertise to service. They highlight that the average duration of time served in Congress has been steadily increasing from 8.9 years to 11 years, arguing this demonstrates that congressional office is viewed as a career plan instead of a post of service. In the absence of indefinite congressional roles, proponents argue, everyday Americans with more recent connections to the job market would have more opportunities than career politicians who are “insulated from the communities they represent.”

    Finally, proponents of congressional term limits highlight that the majority of Americans support the policy. A 2023 Pew Research Center study found that 87% of respondents favored limiting the number of terms one person can serve in congress. A different 2023 study from the Maryland School of Public Policy found support for congressional term limits transcended political party, with 86% of Republicans, 80% of Democrats, and 84% of Independents in favor of the policy.

    Arguments Against Congressional Term Limits

    The arguments against congressional term limits are primarily built around the three subarguments: (1) Term limits fail to address political corruption, (2) Term limits ignore the value of the incumbency and institutional knowledge, and (3) Frequent congressional turnover shifts power away from the legislative branch. 

    Some opponents argue that congressional term limits fail to curtail political corruption, and may even worsen the problem. They hold that imposing term limits will cause lawmakers to work more closely with lobbyists for two reasons. First, given that term limits will cause a sharp increase in the number of “freshmen” lawmakers with limited legislative experience, critics argue that more politicians will rely more closely on lobbyists and special interest groups to write or recommend laws to “fill [lawmakers’] own informational and policy gaps.” Second, critics warn that term limits will only exacerbate the “revolving door” phenomenon in which retired legislators seek to maintain political influence by securing careers as lobbyists or private sector government affairs consultants. They cite a 2023 study that found that state governments with term limits saw an increase in the frequency of political corruption events. The study observed a “penultimate effect”, where state legislators under a term limitation devoted more of their last term to securing their personal power than to passing policy. Given that the frequency of last terms will increase significantly under term limit policy, opponents worry about an accompanying increase in political corruption. 

    Opponents of term limits also argue that the values of political incumbency in the legislative process are taken for granted. They argue that policymaking is a specialized skill that must be developed over time, highlighting examples of how bills with loopholes and contradictions – the result of unskilled policymaking – harm the American public. They hold that incumbency’s value is its ability to maintain legislative efficiency and institutional knowledge. Given that federal policymaking is a skill that can only be learned on-the-job, critics say incumbency gives lawmakers the opportunity to become the specialized professionals their constituents deserve. They also argue that bipartisan partnerships among lawmakers take years to cultivate, and that term limits would hinder cross-party collaboration. 

    The third core criticism of term limits is that the policy would shift power to the executive and the private sector at the detriment of democracy. As lawmakers are denied longer tenures, opponents argue, lobbyists and staffers become the primary voice of experience in the legislature. Additionally, critics suggest that a decrease in experienced legislators with cross-aisle relationships will further hinder Congress’ ability to efficiently pass legislation, catalyzing an increase in executive orders and other executive branch actions. This will create hurdles to the traditional system of checks and balances. 

    Conclusion 

    The debate over congressional term limits is longstanding and complex. While proponents argue that the policy will increase legislative efficacy, decrease corruption, and represent the will of the people, critics worry that it could have a counteractive effect. As the debate continues, countless questions linger. How much do we value incumbency? How are money and careerism intertwined? Is the legislature representative enough? Is legislative efficiency worth risking? After all of those questions have been asked, there is only one question left: Should Americans be for or against congressional term limits?

  • Maternal Mortality Review Committees and the PMDR Reauthorization of 2023: Key Perspectives

    Maternal Mortality Review Committees and the PMDR Reauthorization of 2023: Key Perspectives

    Introduction

    The United States faces a maternal mortality crisis, with maternal death rates significantly higher than other high-income nations. According to the CDC, maternal mortality disproportionately affects Black, Indigenous, and rural communities, with Black women experiencing maternal deaths at 2.6 times the rate of White women. The factors contributing to these disparities are complex and include unequal access to quality healthcare, socioeconomic barriers, and more. Despite advancements in healthcare, 80% of maternal deaths are preventable through timely medical intervention and comprehensive data collection. 

    What are MMRCs?

    State-based Maternal Mortality Review Committees (MMRCs) have been shown to play a pivotal role in analyzing maternal deaths to recommend evidence-based interventions. MMRCs are multidisciplinary teams that examine maternal deaths occurring during pregnancy or within one year postpartum. They utilize comprehensive data sources, including medical records, autopsy reports, and social service information. MMRCs assess preventability and contributing factors, allowing them to identify patterns and propose targeted policy solutions. Their review process centers on critical questions related to medical factors, social determinants, delays in care, and provider bias. By systematically addressing these factors, MMRCs generate insights that inform strategies to reduce preventable maternal deaths, which comprise 20% to 50% of all maternal deaths in the U.S.

    However, MMRCs face inconsistent funding and regulatory barriers, limiting their ability to track and analyze maternal deaths across states. Disparities in data collection methods and access to comprehensive patient records further hinder efforts to address maternal health inequities. Some states lack the authority to access certain medical records, while others experience delays in data sharing, reducing the timeliness and effectiveness of recommendations. Without consistent federal funding, many MMRCs struggle to maintain operations, particularly in rural and underserved areas, where maternal health disparities are often most pronounced. 

    Introduction to the Preventing Maternal Deaths Reauthorization Act

    The Preventing Maternal Deaths Reauthorization Act of 2023 (PMDR) was introduced to the House Committee on Energy and Commerce by Congresswoman Robin Kelly (D-IL) on May 18, 2023. The bill passed out of the Senate Health, Education, Labor, and Pensions (HELP) Committee in Fall 2023 and passed the House with bipartisan support in March 2024. However, the bill failed to pass the Senate before the end of the legislative calendar, rendering the bill “dead”. The reauthorization built upon the original Preventing Maternal Deaths Act of 2018, which helped establish and fund state-based Maternal Mortality Review Committees (MMRCs) to investigate maternal deaths and identify preventable causes. It sought to extend funding for MMRCs, enhance data collection, and address racial disparities in maternal health outcomes through the following provisions:

    1. Extending funding for state-level MMRCs to continue investigating maternal deaths
    2. Authorizing $58 million annually for the CDC to support state-level efforts
    3. Enhancing data collection on factors related to maternal health outcomes, particularly for minority populations
    4. Strengthening community-based interventions to reduce racial and ethnic disparities 
    5. Enhancing coordination among agencies to implement evidence-based solutions
    6. Expanding research on social determinants of maternal health 

    Arguments in Support

    Proponents of the PMDR Act of 2023 argue that the bill provides critical support for tried and true interventions to prevent maternal deaths. They emphasize that scientific literature identifies state-based MMRCs as the “gold standard” for preventing maternal deaths due to their multidisciplinary analysis. However, inconsistent funding threatens the effectiveness of MMRCs, particularly in states with high maternal mortality rates. In a letter to Congress, 125 public health and social services associations urged legislators to treat the PMDR as a top-priority bill, stressing the nation’s consistently high maternal mortality rate. Several national associations, including the American Medical Association, argue that continued federal funding is crucial to preventing maternal deaths. They highlight that past funding gaps resulted in reduced MMRC operations, hospital closures, and increased barriers to care. Supporters contend that the only way to ensure MMRCs can continue their vital work without funding disruptions is to pass the PMDR.

    Proponents of the PMDR Act also highlight its potential to promote health equity. Beyond identifying risk factors, MMRCs are critical in addressing racial, socioeconomic, and geographic disparities in maternal health by filling critical knowledge gaps on the drivers of maternal mortality in underserved populations. The PMDR Act directly supports these efforts by requiring MMRCs to report on disparities in maternal care and propose solutions. Federal support through this bill enables MMRCs to strengthen provider training, expand access to prenatal care, and address structural barriers contributing to maternal deaths. Without reauthorization, proponents argue, efforts to close maternal health gaps would be fragmented, leaving vulnerable populations without necessary protections.

    Arguments in Opposition

    The most prominent critique of the PMDR Act is that it focuses too heavily on MMRCs. Critics voiced concerns about MMRCs’ inconsistency, lack of accountability, and failure to acknowledge all social determinants of health. 

    Opponents highlight that legal and logistical challenges, such as data collection issues and lack of legal protections for participants, can create disparities in MMRC operations. Rural populations, who face higher maternal mortality rates and limited access to care, are often overlooked in MMRCs, further exacerbating disparities. Additionally, bureaucratic barriers and state laws limiting community involvement in MMRCs reduce their effectiveness in addressing maternal health challenges. 

    Others argue that MMRCs lack accountability, particularly regarding inclusivity and equitable decision-making. Advocates contend that MMRCs often exclude community representatives or organizations that challenge the status quo, prioritizing clinical expertise over individuals with lived experience. This exclusion can foster distrust, as community members may feel their knowledge and perspective are undervalued. The lack of compensation for community members to attend all-day MMRC meetings – unlike salaried clinicians – adds another barrier, further entrenching inequalities. Laws that impose burdensome requirements on MMRCs further complicate the process and reduce diversity in ideas. Opponents of the PMDR contend that these factors contribute to a lack of accountability from MMRCs, preventing them from fully creating lasting and inclusive solutions. 

    Finally, critics assert that MMRCs often fail to adequately address the underlying social determinants of health that contribute to maternal mortality. While MMRCs focus on clinical factors, such as healthcare quality and implicit bias, they can lack the frameworks to assess other social determinants like housing instability, food insecurity, or socioeconomic status. Often, these factors are deeply rooted in the broader healthcare system and community environments. Critics argue that the absence of these social factors in MMRC reviews limits the committees’ ability to develop holistic prevention solutions. Reports suggest MMRCs could benefit from incorporating a health equity framework and utilizing socio-spatial measures to address the full spectrum of challenges mothers face. Without this consideration, critics argue that MMRCs fall short of offering effective solutions to reduce maternal deaths and disparities. 

    Due to these critiques of MMRCs, critics of the PMDR argue that the bill should allocate more funding toward alternate interventions 

    Conclusion 

    The Preventing Maternal Deaths Reauthorization Act of 2023 represented an effort to extend investment in evidence-based maternal health interventions. While it received strong bipartisan support in the House, it died before a vote in the Senate, leaving MMRC funding uncertain in the years to come. While the bill was applauded for its potential to expand access to maternal care and fill critical knowledge gaps on maternal mortality factors, critics argued it placed too much emphasis on an intervention that lacked consistency and accountability to marginalized communities. 

    Future Outlook

    The Trump administration has implemented significant changes to the National Institutes of Health (NIH), including halting medical research funding and restructuring the agency, which has led to delays and uncertainties in grant approvals. These actions have raised concerns about the future of critical medical research, including studies on maternal health. Given these developments, the future of the PMDR may depend on an evolving public health funding environment. Advocacy groups and policymakers will need to collaborate to ensure that maternal health research and interventions receive the necessary support, despite the current challenges in the federal funding landscape.

  • The “Let Pregnancy Centers Serve Act” of 2024: Key Insights and Implications

    The “Let Pregnancy Centers Serve Act” of 2024: Key Insights and Implications

    What are Crisis Pregnancy Centers?

    Crisis pregnancy centers (CPCs) are nonprofit, community-based organizations that aim to ensure pregnant people carry their pregnancy to term. CPCs provide services, including pregnancy tests, ultrasounds, baby formula, and diapers to achieve their mission. While they have operated in the U.S. for decades, CPCs have become more prominent in the public eye in light of the Supreme Court’s Dobbs v. Jackson decision that overturned the national right to abortion. Contention has emerged concerning whether CPCs should continue to receive federal funding and qualify as eligible healthcare centers for patients using federal healthcare assistance programs. 

    Introduction to the Let Pregnancy Centers Serve Act of 2024

    The Let Pregnancy Centers Serve Act of 2024 was introduced to the Senate Committee on Finance by Senator Cindy Hyde-Smith [R-MS] on January 18, 2024, and is currently in the introduction stage. The Act contains two central provisions:

    1. Maintaining TANF Eligibility: Temporary Assistance for Needy Families, or TANF, is a government program that provides financial assistance to pregnant people and families for the purpose of accessing food, housing, healthcare, and other necessities. States have autonomy in implementing TANF, including determining the type and amount of assistance payments, and the services that can be obtained with TANF funds. The Act would ensure that people who receive TANF can use their benefits to pay for CPC services, and that CPCs can continue to receive TANF-delegated funding from the federal government.
    2. Renewing federal funding: The Act would prevent the federal government from denying CPCs funding via grants, on the basis that doing so merits federal discrimination against grantees. 

    Arguments in Support of the Let Pregnancy Centers Serve Act of 2024

    Enhanced Access to Pregnancy Services

    Proponents of the Act argue that PCPs should be praised for the broad range of goods and services they provide at little to no cost, such as baby clothes and formula. Early pregnancy confirmation is cheaper and more accessible at a CPC than at an abortion clinic, which supporters argue increases accessibility. They cite a study that showed that patients without health insurance were significantly more likely to visit a CPC than not to visit a CPC during their pregnancy. Additionally, proponents believe that the educational programs provided by some centers, such as parenting classes and prenatal care, help equip new and expecting parents with necessary knowledge and skills. In addition, some CPCs offer different types of emotional and psychological support. Advocates of the Act believe that the counseling services provided by some centers can help individuals and families navigate the pregnancy experience and its complexities. 

    Protection from Federal Discrimination

    One of the primary objectives of the Act is to ensure that CPCs continue to receive TANF funding. The bill aims to prevent the Biden administration’s proposed rule that would reduce or cut TANF funding to CPCs. Proponents argue that these centers play a crucial role in providing support to pregnant women, and that losing TANF funding eligibility could significantly impact their ability to offer essential services. Advocates of the bill argue that protection against federal discrimination is crucial for maintaining the viability of CPCs and ensuring they can continue to provide their service without undue interference. Advocates emphasize that CPCs have been allowed to receive federal funding since 1996, and that reversing this practice signals federal discrimination on a national scale. Proponents also argue that states should have the flexibility and power to direct funds to organizations that align with their values and priorities, and that the federal government would infringe upon state’s rights by prohibiting funding to CPCs nationally. 

    Arguments Against the Let Pregnancy Centers Serve Act of 2024

    Misleading Patients 

    Opponents of the Act argue that CPCs provide misleading or incomplete information about reproduction with the goal of preventing patients from seeking abortion, which can impact patients’ ability to make informed decisions about their health. Most crisis pregnancy centers have a religious affiliation and are not medically licensed, and thus fall outside the scope of consumer protection regulations that are designed to protect patients. Opponents argue that CPCs purposefully and unethically market themselves as health clinics, which has led to the development of websites like ExposeFakeClinics.com and The Anti-Abortion Pregnancy Center Database to warn patients about CPCs in their area. 

    Critics also claim that many ethical concerns that arise when the government provides TANF funding to organizations that are unqualified to provide medical advice. In particular, critics argue that CPCs’ main goal is to discourage or delay women from seeking abortion services, and that providing them with TANF funding could lead patients to perceive them as legitimate and objective healthcare providers. Delays in medical care, whether it be prenatal checkups or appointments about different options, can lead to more complex and costly procedures later on, and potentially put pregnant people’s lives at risk. Critics believe that by prioritizing funding for un-licensed pregnancy centers, the government risks misleading pregnant people into seeking services at centers with no medical credentials and thus neglecting their healthcare needs.

    Misuse of Federal Funds

    Additionally, opponents of the Act are concerned that CPCs lack the oversight and accountability required of other TANF-eligible medical facilities, which could increase the risk of mismanaged or ineffectively-used federal funds. While states must spend TANF funding on programs that achieve one of four TANF purposes, some argue that CPCs are deceptive and lack patient-centered care. Critics of the Act believe that TANF dollars could be used in more efficient ways than funding CPCs, such as promoting job preparation and work. They believe that funding CPCs risks diminishing government funds that could be used to fund prenatal care, contraceptive counseling, and more comprehensive maternal health services. Many believe that allowing TANF funds to support CPCs could weaken the overall monetary support network for reproductive health in the nation. 

    Conclusion

    The Let Pregnancy Centers Serve Act of 2024 aims to protect crisis pregnancy centers by allowing states to allocate TANF and other federal grant funds to these centers without federal interference. Supporters argue that CPCs offer vital services that deserve protection and uphold states’ rights to manage their grant distributions. Conversely, opponents express ethical concerns about funding centers that lack medical qualifications, licensure, and oversight. Critics warn that the Act could misallocate federal funds, diverting resources from licensed maternal and contraceptive care programs to less regulated centers. The legislation’s outcome will significantly impact pregnant individuals nationwide.

  • Understanding the AI in Healthcare Debate

    Understanding the AI in Healthcare Debate

    Background

    What is Artificial Intelligence?

    Artificial intelligence, more commonly referred to as AI, encompasses many technologies that enable computers to simulate human intelligence and problem solving abilities. AI includes machine learning, which allows computers to imitate human learning, and deep learning, a subset of machine learning that simulates the decision making processes of the human brain. Together, these algorithms power most of the AI in our daily lives, such as Chat GPT, self-driving vehicles, GPS, and more. 

    Introduction

    Due to the rapid and successful development of AI technology, its use is growing across many sectors including healthcare. According to a recent Morgan Stanley report, 94 percent of surveyed healthcare companies use AI in some capacity. In addition, a MarketsandMarkets study valued the global AI healthcare market at $20.9 billion for 2024 and predicted the value to surpass $148 billion by 2029. The high projected value of AI can be attributed to the increasing use of AI across hospitals, medical research, and medical companies. Hospitals currently use AI to predict disease risk in patients, summarize symptoms for potential diagnoses, power chatbots, and streamline patient check-ins. 

    The increased use of AI in healthcare and other sectors has prompted policymakers to recommend global standards for AI implementation. UNESCO published the first global standards for AI ethics in November 2021, and the Biden-Harris Administration announced an executive order in October 2023 on safe AI use and development. Following these recommendations, the Department of Health and Human Services published a regulation titled HTI-1 Final Rule, which includes requirements, standards, and certifications for AI use in healthcare settings. The FDA also expanded its inspection of medical devices that incorporate AI in 2023, approving 692 AI devices. While the current applications of AI in the health industry seem promising, the debate over the extent of its use remains a contentious topic for patients and providers.

    Arguments in Favor of AI In Healthcare

    Those in favor of AI in healthcare cite its usefulness in diagnosing patients and streamlining patient interactions with the healthcare system. They point to evidence showing that AI is valuable for identifying patterns in complex health data to profile diseases. In a study evaluating the diagnostic accuracy of AI in primary care for over 100,000 patients, researchers found an overall 84.2 percent agreement rate between the physician and the AI diagnosis. 

    In addition, proponents argue that AI will reduce the work burden on physicians and administrators. According to a survey by the American Medical Association, two thirds of over 1,000 physicians surveyed identified advantages to using AI such as reductions in documentation time. Moreover, a study published in Health Informatics found that using AI to generate draft replies to patient messages reduced burnout and burden scores for physicians. Supporters claim that AI can improve the patient experience as well, reducing waiting times for appointments and assisting in appointment scheduling.

    Proponents also argue that using AI could significantly combat mounting medical and health insurance costs. According to a 2024 poll, around half of surveyed U.S. adults said they struggled to afford healthcare, and one in four said they put off necessary care due to the cost. Supporters hold that AI may be a solution, citing one study that found that AI’s efficiency in diagnosis and treatment lowered healthcare costs compared to traditional methods. Moreover, researchers estimate that the expansion of AI in healthcare could lead to savings of up to $360 billion in domestic healthcare spending. For example, AI could be used to save $150 billion annually by automating about 45 percent of administrative tasks and $200 billion in insurance payouts by detecting fraud. 

    Arguments Against AI in Healthcare

    Opponents caution against scaling up AI’s role in healthcare because of the risks associated with algorithmic bias and data privacy. Algorithmic bias, or discriminatory practices taken up by AI from unrepresentative data, is a well-known flaw that critics say is too risky to integrate into already-inequitable healthcare settings. For example, when trained with existing healthcare data such as medical records, AI algorithms tended to incorrectly evaluate health needs and disease risks in Black patients compared to White patients. One study argues that this bias in AI medical applications will worsen existing health inequities by underestimating care needs in populations of color. For example, the study found that an AI system designed to predict breast cancer risk may incorrectly assign Black patients as “low risk”. Since clinical trial data in the U.S. still severely underrepresents people of color, critics argue that algorithmic bias will remain a dangerous feature of healthcare AI systems in the future.

    Those against AI use in healthcare also cite concerns with data privacy and consumer trust. They highlight that as AI use expands, more corporations, clinics, and public bodies will have access to medical records. One review explained that recent partnerships between healthcare settings and private AI corporations has resulted in concerns about the control and use of patient data. Moreover, opponents argue that the general public is significantly less likely to trust private tech companies with their health data than physicians, which may lead to distrust of healthcare settings that partner with tech companies to integrate AI. Another issue critics emphasize is the risk of data breaches. Even when patient data is anonymized, new algorithms are capable of re-identifying patients. If data security is left to private AI companies that may not have experience protecting such large quantities of patient data against sophisticated attacks, opponents claim the risk of large-scale data leaks may increase. 

    Conclusion

    The rise of AI in healthcare has prompted debates on diverse topics ranging from healthcare costs to work burden to data privacy. Proponents highlight AI’s potential to enhance diagnostic accuracy, reduce administrative burdens on healthcare professionals, and lower costs. Conversely, opponents express concerns about algorithmic bias exacerbating health disparities and data breaches leaking patient information. As the debate continues, the future of AI in healthcare will hinge on addressing these diverse perspectives and ensuring that the technology is developed responsibly.