Functional gaps in attaining a national health information network

We describe the health information technology (HIT) required for a model of a national health information network (NHIN). Specifically, we define the functional HIT capabilities of an attainable NHIN and determine the gap between the current state of HIT and its likely state in five years, given current trends of adoption. Administrative functionalities will be more prevalent than clinical functionalities in five years. Smaller stakeholders, such as home health care agencies, will lag in adoption. Policy changes, such as financial incentives to HIT end users or regulatory measures, may help accelerate the adoption of HIT for a model NHIN.     

Medicaid and health information: current and emerging legal issues

Legal questions are an inevitable byproduct ofsignificant technology change in health care such as that underway as a result of health information technology (HIT). This article examines several important existing and emerging legal questions in a Medicaid context. First, do the Centers for Medicare & Medicaid Services (CMS) and State Medicaid agencies, have a fiduciary obligation to adopt and fully use health information technology given its potential to improve health care quality while reducing racial, ethnic, and socioeconomic disparities in health and health care? Second, how can Medicaid privacy standards be reconciled with the Health Insurance Portability and Accountability Act (HIPAA) privacy rule? Third, what actual or perceived legal barriers exist to ensuring that Medicaid information is interoperable with data produced under critical health care, educational, and social programs from which beneficiaries are simultaneously receiving care?     

Medicare's next voyage: encouraging physicians to adopt health information technology

Although there is growing consensus that health information technology (HIT) will be critical to improving health care quality and reducing costs, physicians' investments in technology remain limited. As the largest single U.S. purchaser of health care services, Medicare has the power to promote physician adoption of HIT. The Centers for Medicare and Medicaid Services should clarify its technology objectives, engage the physician community, shape the development of standards and technology certification criteria, and adopt concrete payment systems to promote adoption of meaningful technology that furthers the interests of Medicare beneficiaries.     

Defining and measuring quality outcomes in long-term care

The US health care industry increasingly agrees that sharing information about quality of care is necessary to stimulate providers' efforts to improve the quality of health care. The availability of mandated, uniform clinical data in all nursing homes and home health agencies has facilitated the rapid adoption of public reporting of comparative quality data. This paper examines the conceptual and technical challenges underlying the application of information about long-term care provider quality to judge and compare the quality of care provided by nursing homes and home health agencies. In general, the impetus to apply the emerging set of quality "tools" based on mandated clinical assessments may have outstripped the evidence for their valid application in selecting top providers or for rewarding their superior performance.     

The effects of health information technology on the costs and quality of medical care

Information technology has been linked to productivity growth in a wide variety of sectors, and health information technology (HIT) is a leading example of an innovation with the potential to transform industry-wide productivity. This paper analyzes the impact of health information technology (HIT) on the quality and intensity of medical care. Using Medicare claims data from 1998 to 2005, I estimate the effects of early investment in HIT by exploiting variation in hospitals’ adoption statuses over time, analyzing 2.5 million inpatient admissions across 3900 hospitals. HIT is associated with a 1.3% increase in billed charges (p-value: 5.6%), and there is no evidence of cost savings even five years after adoption. Additionally, HIT adoption appears to have little impact on the quality of care, measured by patient mortality, adverse drug events, and readmission rates.     

HIT: Time to End Behavioral Health Discrimination

While the Health Information Technology for Economic and Clinical Health Act, enacted as part of the American Recovery and Reinvestment Act of 2009, provided $20.6 billion for incentive payments to support the adoption and meaningful use of health information technology (HIT), behavioral health organizations were not eligible to receive facility payments. The consequences of excluding behavioral health from HIT incentive payments are found in the results of the "HIT Adoption and Meaningful Use Readiness in Community Behavioral Health" survey. The survey found that only 2% of community behavioral health organizations are able to meet federal meaningful use (MU) requirements??compare this to the 27% of Federally Qualified Health Centers and 20% of hospitals that already meet some level of MU requirements. Behavioral health organizations, serving more than eight million adults, children, and families with mental illnesses and addiction disorders, are ready and eager to adopt HIT to meet the goals of better healthcare, better health, and lower costs. But reaching these goals may prove impossible unless behavioral health achieves "parity" within healthcare and receives resources for the adoption of HIT.     

Why “What Data Are Necessary for This Project?” and Other Basic Questions are Important to Address in Public Health Informatics Practice and Research

Despite the likelihood of poor quality data flowing from clinical information systems to public health information systems, current policies and practices are pushing for the adoption and use of even greater numbers of electronic data feeds. However, using poor data can lead to poor decision-making outcomes in public health. Therefore public health informatics professionals need to assess, and periodically re-evaluate, the quality of electronic data and their sources. Unfortunately there is currently a paucity of tools and strategies in use across public health agencies. Our Center of Excellence in Public Health Informatics is working to develop and disseminate tools and strategies for supporting on-going assessment of data quality and solutions for overcoming data quality challenges. In this article, we outline the need for better data quality assessment and our approach to the development of new tools and strategies. In other words, public health informatics professionals need to ask questions about the electronic data received by public health agencies, and we hope to create tools and strategies to help informaticians ask questions that will lead to improved population health outcomes.     

Health information technology and quality improvement for community health centers

The U.S. Department of Health and Human Services (HHS) is committed to promoting health information technology (HIT) throughout health care. However, selection, acquisition, and implementation of HIT for quality improvement (QI) are beyond the means of many federally supported community health centers (CHCs). In the absence of federal leadership and investment, adoption of HIT will be slow, haphazard, duplicative, and wasteful. HHS should actively support HIT to improve quality in CHCs. This will maximize HIT benefits, minimize costs, and ensure that CHCs have the tools to address the needs of vulnerable populations.     

Achieving U.S. Health information technology adoption: the need for a third hand

The U.S. health care information technology (HIT) market is broken; broad-scale adoption of HIT is not occurring despite considerable evidence of its impact on the quality of care and patient safety. Although adoption of HIT will not cure all that ails health care, it is an important step toward transformation of the U.S. health care delivery system. In this commentary I describe several critical issues pertaining to the HIT market failure and several ways in which the federal government may act as a deft and gentle "Third Hand" to assist the Invisible Hand of Adam Smith.     

The influence of payer mix on electronic health record adoption by physicians

BACKGROUND: Numerous studies have examined the relationship between physician practice characteristics and electronic health record (EHR) adoption. Little is known about how payer mix influences physicians' decisions to implement EHR systems. PURPOSE: This study examines how different proportions of Medicare, Medicaid, and privately insured patients in physicians' practices influence EHR adoption. METHODOLOGY: Data from a large-scale survey of physician's use of information technologies in Florida were analyzed. Physicians were categorized based on their responses to questions regarding the proportion of patients in their practice that use Medicare, Medicaid, or private insurance products. The binary dependent variable of interest was EHR adoption among physicians. Adjusted odds ratios (ORs) were computed using logistic regression modeling techniques. The model examined the effect of changes in each payer type on EHR adoption, controlling for various practice characteristics. FINDINGS: Physicians with the highest percentage of Medicaid patients in their practices were significantly less likely to indicate using an EHR system when compared with those in the low-volume Medicaid group (OR = 0.690; 95% confidence interval [CI] = 0.50-0.95). No differences in EHR adoption were detected among physicians in the low, median, and high Medicare volume classifications. Among the private payer classifications, physicians whose practices were in the median group indicated significantly greater EHR use than those with relatively low levels of privately insured patients (OR = 1.62; 95% CI = 1.16-2.27). Those in the high-volume private payer group were also more likely than the low-volume group to have an EHR system, but this trend did not reach statistical significance (OR = 1.44; 95% CI = 0.96-2.16). PRACTICE IMPLICATIONS: Governmental insurance programs are either not influencing or negatively influencing EHR adoption among physicians in Florida. Given the quality and cost benefits associated with EHR use (particularly for health care payers), policymakers should consider strategies to incentivize or reward EHR adoption among doctors who care for Medicare and Medicaid patients.     

The evolution of quality management in Medicaid managed care

Since the early 1990s almost all states have moved some or all of their Medicaid beneficiaries to Medicaid managed care (MMC). Critics have worried about quality since MMC's inception. Proponents argued that state Medicaid agencies, as large-scale purchasers of care, would pursue "value-based purchasing" and other strategies to stimulate quality improvements. In this paper we extend and update previous evaluations of the use of managed care for the Medicaid population, the extent to which beneficiaries receive care from Medicaid only and from commercial health plans, and the quality management programs that state Medicaid agencies supported during 2001.     

Advance directives in home health and hospice agencies: United States, 2007

This report provides nationally representative data on policies, storage, and implementation of advance directives (ADs) in home health and hospice (HHH) agencies in the United States using the National Home and Hospice Care Survey. Federally mandated ADs policies were followed in >93% of all agencies. Nearly all agencies stored ADs in a file at the agency, but only half stored them at the patient's residence. Nearly all agencies informed staff about the AD, but only 77% and 72% of home health agencies informed the attending physician and next-of-kin, respectively. Home health and hospice agencies are nearly universally compliant with ADs policies that are required in order to receive Medicare and Medicaid payments, but have much lower rates of adoption of ADs policies beyond federally mandated minimums.     

The role of organizational factors in the adoption of healthcare information technology in Florida hospitals

This study examines whether specific organizational characteristics, such as hospital size, geographic location (urban versus rural), system membership (stand-alone versus system-affiliated), and tax status (for-profit versus non-profit), influence adoption of healthcare information technologies (HIT) in hospitals. We hypothesize the above organizational characteristics to be related to hospitals’ adoption of clinical, administrative, and strategic HIT, as well as all HIT in general. Using survey data collected from 98 Florida hospitals, we demonstrate that hospital size, system membership, and tax status, but not geographic location, are systematically related to HIT adoption, and that such factors explain about 28–41% of the adoption variance. A mixed pattern of effects emerge for clinical, administrative, and strategic HIT. For instance, hospital size appears to be less relevant for administrative HIT, where its effect is compensated by those of system membership and tax status. Implications for future HIT research and practice are discussed.     

Medicaid information technology architecture: an overview

The Medicaid Information Technology Architecture (MITA) is a roadmap and tool-kit for States to transform their Medicaid Management Information System (MMIS) into an enterprise-wide, beneficiary-centric system. MITA will enable State Medicaid agencies to align their information technology (IT) opportunities with their evolving business needs. It also addresses long-standing issues of interoperability, adaptability, and data sharing, including clinical data, across organizational boundaries by creating models based on nationally accepted technical standards. Perhaps most significantly, MITA allows State Medicaid Programs to actively participate in the DHHS Secretary's vision of a transparent health care market that utilizes electronic health records (EHRs), ePrescribing and personal health records (PHRs).     

Bridging the digital divide in health care: the role of health information technology in addressing racial and ethnic disparities

BACKGROUND: Racial and ethnic disparities in health care have been consistently documented in the diagnosis, treatment, and outcomes of many common clinical conditions. There has been an acceleration of health information technology (HIT) implementation in the United States, with health care reform legislation including multiple provisions for collecting and using health information to improve and monitor quality and efficiency in health care. Despite an uneven and generally low level of implementation, research has demonstrated that HIT has the potential to improve quality of care and patient safety. If carefully designed and implemented, HIT also has the potential to eliminate disparities. HIT AND DISPARITIES: Several root causes for disparities are amenable to interventions using HIT, particularly innovations in electronic health records, as well as strategies for chronic disease management. Recommendations regardinghealth care system, provider, and patient factors can help health care organizations address disparities as they adopt, expand, and tailor their HIT systems. In terms of health care system factors, organizations should (1) automate and standardize the collection of race/ethnicity and language data, (2) prioritize the use of the data for identifying disparities and tailoring improvement efforts, (3) focus HIT efforts to address fragmented care delivery for racial/ethnic minorities and limited-English-proficiency patients, (4) develop focused computerized clinical decision support systems for clinical areas with significant disparities, and (5) include input from racial/ethnic minorities and those with limited English proficiency in developing patient HIT tools to address the digital divide. CONCLUSIONS: As investments are made in HIT, consideration must be given to the impact that these innovations have on the quality and cost of health care for all patients, including those who experience disparities.     

State implementation of the Breast and Cervical Cancer Prevention and Treatment Act of 2000: a collaborative effort among government agencies

The National Breast and Cervical Cancer Early Detection Program (NBCCEDP),administered by the Centers for Disease Control and Prevention through grants to states, tribes, and territories, has successfully provided breast and cervical cancer screening and diagnostic services to low-income women since 1990. On October 24, 2000, Congress passed the Breast and Cervical Cancer Prevention and Treatment Act (BCCPTA) authorizing states, if they chose, to provide Medicaid coverage for treatment services for women screened under theNBCCEDP. Under BCCPTA, uninsured women younger than age 65 who are screened through the NBCCEDP and found to have breast or cervical cancer (or precancerous conditions) may gain access to Medicaid services for and during their cancer treatment. Implementation of the BCCPTA requires collaboration and coordination among many government agencies, including the Centers for Disease Control and Prevention, Centers for Medicare & Medicaid Services, state Medicaid directors, and directors of state and tribal grant programs. This article describes the implementation of the program and demonstrates to policy makers that coordinating resources among government agencies can facilitate the rapid adoption of public health programs as pathways for specific populations to gain access to publicly funded health insurance coverage.     

The adoption and use of health information technology in rural areas: results of a national survey

Context: Health information technology (HIT) is a national policy priority. Knowledge about the special needs, if any, of rural health care providers should be taken into account as policy is put into action. Little is known, however, about rural‐urban differences in HIT adoption at the national level. Purpose: To conduct the first national assessment of HIT in rural primary care offices, with particular attention to electronic medical record (EMR) adoption, range of capabilities in use, and plans for adoption. Methods: A national mail survey of 5,200 primary care offices, stratified by rurality using Rural‐Urban Commuting Area categories, was conducted in 2007‐2008. Regression analyses were used to assess the relationship between office characteristics and EMR adoption, capabilities used, and future adoption plans. Results: A commercial EMR system was present in 31% of offices, with no significant differences by rurality. Of offices with EMRs, 12% reported using a full range of EMR capabilities, with 51% using a basic range and 37% using less than the basic range. Large Rural (adjusted OR = 3.71, P= .022) and Small Rural (aOR = 3.75, P= .049) offices were more likely than Urban offices to use a broader range of EMR capabilities. Among offices without EMRs, those in Isolated areas were less likely to have more immediate plans to adopt (aOR = 0.19, P= .02). Conclusions: HIT adoption and use in rural primary care offices does not appear to be lower than in urban offices. The situation, however, is dynamic and warrants further monitoring.     

Health care information technology in rural America: electronic medical record adoption status in meeting the national agenda.

Continuing is a national political drive for investments in health care information technology (HIT) that will allow the transformation of health care for quality improvement and cost reduction. Despite several initiatives by the federal government to spur this development, HIT implementation has been limited, particularly in the rural market. The status of technology use in the transformation effort is reviewed by examining electronic medical records (EMRs), analyzing the existing rural environment, identifying barriers and factors affecting their development and implementation, and recommending needed steps to make this transformation occur, particularly in rural communities. A review of the literature for HIT in rural settings indicates that very little progress has been made in the adoption and use of HIT in rural America. Financial barriers and a large number of HIT vendors offering different solutions present significant risks to rural health care providers wanting to invest in HIT. Although evidence in the literature has demonstrated benefits of adopting HIT such as EMRs, important technical, policy, organizational, and financial barriers still exist that prevent the implementation of these systems in rural settings. To expedite the spread of HIT in rural America, federal and state governments along with private payers, who are important beneficiaries of HIT, must make difficult decisions as to who pays for the investment in this technology, along with driving standards, simplifying approaches for reductions in risk, and creating a workable operational plan.     

Health care spending and use of information technology in OECD countries

In 2003, the United States had fewer practicing physicians, practicing nurses, and acute care bed days per capita than the median country in the Organization for Economic Cooperation and Development (OECD). Nevertheless, U.S. health spending per capita was almost two and a half times the per capita health spending of the median OECD country. One proposal for both lowering health spending and improving quality is the adoption of health information technology (HIT). The United States lags as much as a dozen years behind other industrialized countries in HIT adoption--countries where national governments have played major roles in establishing the rule, and health insurers have paid most of the costs.