Automation: The competitive edge for HMOs and other Alternative Delivery Systems

Until recently, many, if not most, Health Maintenance Organizations (HMO) were not automated. Moreover, HMOs that were automated tended to be automated only on a limited basis. Recently, however, the highly competitive marketplace within which HMOs and other Alternative Delivery Systems (ADS) exist has required that they operate at a maximum effectiveness and efficiency. Given the complex nature of ADSs, the volume of transactions in ADSs, the large number of members served by ADSs, and the numerous providers who are paid at different rates and on different bases by ADSs, it is impossible for an ADS to operate effectively or efficiently, let alone show optimal performance, without a sophisticated, comprehensive automated system. Reliable automated systems designed specifically to address ADS functions such as enrollment and premium billing, finance and accounting, medical information and patient management, and marketing have recently become available at a reasonable cost.     

The Health Maintenance Facility

The Health Maintenance Facility (HMF) is the code name for a space-based medical clinic. The HMF is an integral part of the U.S. sponsored space station program due to be launched in the late 1990s. Contained in this module will be equipment, facilities, and supplies that can be used to support space station crew health. The range of medical care will depend upon the skill of the crew, the tools available, and the support systems that can be used from earth. The design of this system and its heavy dependence upon computer resources provide an excellent model for looking forward into the earth based medical clinics of the future.     

The physician as a locus of authority,responsibility, and operational control of medical systems

Physicians are commonly being excluded from meaningful participation in the planning, implementation, and operation of automated medical systems in hospitals. The authors advocate a rapid shift toward greater physician involvement in such systems, arguing that such a shift is desirable, feasible, and also inevitable. After reviewing the organization of information systems in hospitals, the authors describe the manner in which physician control of medical systems adds to the worth of such systems by enhancing the quality and efficiency of health care delivery. The proposed information system management role of physicians is characterized in terms of authority, responsibility, and operational control. Finally, advice is offered from an organizational perspective for establishing a physician as the hospital Medical Information Director.     

Health services research in alcoholism

Alcoholism has become an important health care problem for the United States and the VA medical care system. The percentage of inpatients in Veterans Administration hospitals with a diagnosis of alcoholism rose from 13.0% in 1970 to a high of 15.6% in 1977. Health services research work in alcoholism has generally fallen into four major areas: community diagnosis; utilization of services by alcoholics; the effectiveness, efficiency, and quality of services; and the organization of information systems and their applicability to alcoholism. Obstacles to research include a poor understanding of the prevalence of the disease among the veteran's population, but the system offers many more opportunities than obstacles. A new information system. SATAR (Substance Abuse Treatment Automated Records), offers a chance for large-scale investigation of the problem of alcoholism among VA patients when combined with other information systems and allows for special comparisons through its large, integrated network of hospitals and clinics.     

Computer support for clinical and ancillary support areas

Military medicine is aggressively meeting the need for enhanced information flow and improved efficiency in the delivery of health care by implementing automated systems. A Department of Defense (DOD) Agency, the Tri-Service Medical Information Systems (TRIMIS) Program office, is centrally procuring automated data processing to support clinical and patient appointment activities within the DOD health care system of 165 hospitals and 287 clinics. The procured systems are then implemented with the assistance of the military departments. Systems are now supporting cardiology, pharmacy, radiology, clinical laboratory, and patient appointment and scheduling. Capabilities of all these systems are detailed in the paper. To date, the TRIMIS efforts have contributed significantly to more efficient information processing, thus ensuring continued quality health care through the DOD.     

Explaining accesses to electronic medical records using diagnosis information

Objective

Ensuring the security and appropriate use of patient health information contained within electronic medical records systems is challenging. Observing these difficulties, we present an addition to the explanation-based auditing system (EBAS) that attempts to determine the clinical or operational reason why accesses occur to medical records based on patient diagnosis information. Accesses that can be explained with a reason are filtered so that the compliance officer has fewer suspicious accesses to review manually.

Methods

Our hypothesis is that specific hospital employees are responsible for treating a given diagnosis. For example, Dr Carl accessed Alice''s medical record because Hem/Onc employees are responsible for chemotherapy patients. We present metrics to determine which employees are responsible for a diagnosis and quantify their confidence. The auditing system attempts to use this responsibility information to determine the reason why an access occurred. We evaluate the auditing system''s classification quality using data from the University of Michigan Health System.

Results

The EBAS correctly determines which departments are responsible for a given diagnosis. Adding this responsibility information to the EBAS increases the number of first accesses explained by a factor of two over previous work and explains over 94% of all accesses with high precision.

Conclusions

The EBAS serves as a complementary security tool for personal health information. It filters a majority of accesses such that it is more feasible for a compliance officer to review the remaining suspicious accesses manually.     

Government regulations and other influences on the medical use of computers

This paper presents points brought out in a panel discussion held at the 12th Hawaiian International Conference on System Sciences, January 1979. The session was attended by approximately two dozen interested parties from various segments of the academic, government, and health care communities. The broad categories covered include the specific problems of government regulations and their impact on specific clinical information systems installed at The University of Texas Health Science Center at Dallas, opportunities in a regulated environment, problems in a regulated environment, vendor-related issues in the marketing and manufacture of computer-based information systems, rational approaches to government control, and specific issues related to medical computer science.     

A PC-based free text DSS for health care

A free text decision support system (DSS) has been constructed for health care professionals that allows the analysis of complex medical cases and the creation of a diagnostic list of potential diseases for clinical evaluation. The system uses a PC-based text management system specifically designed for desktop operation. The texts employed in the decision support package include The Merck Manual (published by Merck Sharpe & Dohme) and Control of Communicable Diseases in Man (published by the American Public Health Association). The background and design of the database are discussed, along with a structured analysis procedure for handling free text DSS systems. A case study is presented to show the application of this technology and conclusions are drawn in the summary that point to expanded areas of professional interaction and new frontiers yet to be explored in this rapidly progressing field.     

Guidelines for use access to compuuterized medical records

Computerization of the medical record allows the unique capability to provide differential access to various components of the record by users outsid of the immediate provider/patient health care setting Guidelines for designers, programmers, and users of computerizeid medical records have been defined in order to clarify which data elements or categories are appropriate for communication to various parties involved in utilizing patients information.     

National health care surveys and health care management

The bulk of medical care in the United States is provided in hospitals, physicians' offices, and nursing homes. The National Center for Health Statistics conducts three health record surveys that collect information on patient and provider characteristics and the services provided in these three settings. This paper describes each of these three surveys in terms of background (scope and data set), design, collection, processing procedures, and data dissemination. In addition, specific examples of how the survey data have been or can be used for management purposes in terms of monitoring, evaluating, and planning the utilization of health care in the United States are given.     

Using a symbiotic man/machine approach to evaluating visual clinical research data

Some candidate medical expert system applications have a significant visual component. Knowledge engineers usually dismiss such task domains as potential expert systems applications. Our success in developing ESCA, a system forevaluatingserialangiograms, shows that such task domains should not be dismissed so quickly. We used a symbiotic approach between man and machine, where technologists provide the visual skills with an expert system imitating the conceptual skills of the expert, to produce a partially automated system that is more consistent and cost effective than one that is fully manual. The agreement between the system's conclusions and that of a panel of experts is good. The expert system actually has a slightly higher agreement rate with the expert panel than the agreement rate between two expert panel teams evaluating the same film pair.     

Openness of patients' reporting with use of electronic records: psychiatric clinicians' views

Objectives

Improvements in electronic health record (EHR) system development will require an understanding of psychiatric clinicians'' views on EHR system acceptability, including effects on psychotherapy communications, data-recording behaviors, data accessibility versus security and privacy, data quality and clarity, communications with medical colleagues, and stigma.

Design

Multidisciplinary development of a survey instrument targeting psychiatric clinicians who recently switched to EHR system use, focus group testing, data analysis, and data reliability testing.

Measurements

Survey of 120 university-based, outpatient mental health clinicians, with 56 (47%) responding, conducted 18 months after transition from a paper to an EHR system.

Results

Factor analysis gave nine item groupings that overlapped strongly with five a priori domains. Respondents both praised and criticized the EHR system. A strong majority (81%) felt that open therapeutic communications were preserved. Regarding data quality, content, and privacy, clinicians (63%) were less willing to record highly confidential information and disagreed (83%) with including their own psychiatric records among routinely accessed EHR systems.

Limitations

single time point; single academic medical center clinic setting; modest sample size; lack of prior instrument validation; survey conducted in 2005.

Conclusions

In an academic medical center clinic, the presence of electronic records was not seen as a dramatic impediment to therapeutic communications. Concerns regarding privacy and data security were significant, and may contribute to reluctances to adopt electronic records in other settings. Further study of clinicians'' views and use patterns may be helpful in guiding development and deployment of electronic records systems.     

Data base management,feedback control,and the Regenstrief Medical Record

Because of the differences in informational needs among medical practices, medical record systems should be fiexible. The use of data base management and use-oriented command languages helps to achieve flexibility. The Regenstrief Medical Record System is based upon a data base management system and two user-oriented command languages (the RDB Command Language and CARE). Most batch reports, file maintenance procedures, and ad hoc retrievals can be specified by the user by means of these two languages. This means that the user can specify which reports he wants and how they should look. Daily on-line activities are performed by application programs. The data base system also provides flexibility to these programs since the content and format of many of the display screens are defined by statements that are similar to the command language statements and are stored within a text file. The Regenstrief Medical Record System now carries records for 60,000 patients.     

Computerized Physician Order Entry: Helpful or Harmful?

Computerized physician order entry (CPOE) is touted as a major improvement in patient safety, primarily as a result of the Institute of Medicine''s 1999 report on medical errors and the subsequent formation of the “Leapfrog Group” of companies to preferentially direct their employees'' health care to those institutions that install such systems (as part of directives that “Leapfrog” feels will improve patient care). Although the literature suggests that such systems have the potential to improve patient outcomes through decrease of adverse drug events, actual improvements in medical outcomes have not been documented. Installation of such systems could actually increase the number of adverse drug events and result in higher overall medical costs, particularly in the first few years of their adoption.In the last five years, hospitals, including our own, have begun to use computerized systems that require physicians and other health care providers to electronically enter patient care orders.¹ Before this time, only a handful of hospitals used such systems. These computer programs contain algorithms that alert health care providers to potentially harmful therapeutic decisions before orders are processed. The installation of these systems is costly (millions of dollars) and requires major behavioral changes, not only by physicians, but also by the entire health care organization.² In January 2003, Cedars-Sinai Health System in Los Angeles removed its recently installed computerized physician order entry (CPOE) system from use after almost unanimous protest from the medical staff. Why are hospitals and other health care organizations pursuing this avenue at this time? Does the literature support the premise that these systems are beneficial for patient care? Do such systems decrease total health care costs? The answers to these questions are still evolving. In this forum, we address these questions and describe some of the pertinent medical literature on this subject.     

The organization of health services research in the Veterans Administration

The VA health services research, development, and education efforts are organized in four main programs: (1) the Intramural Research Program, (2) the VA-University Health Services Research Affiliation Program, (3) the Health Services Research Training Program, and (4) the Contract Research Program. This report first describes the administrative location and structure of the Health Services Research and Development Service within the VA Department of Medicine and Surgery. Then the goals, organizational structure, and major activities of each program are presented.     

Medical applications in the TANDEM-16 multiple computer system environment

This paper addresses the question of reliability and the TANDEM-16 approach to facilitate reliable computers. Specifically, the use of the TANDEM-16 within the medical environment is described. Three current applications within the Medical Computing Resources Center at The University of Texas Health Science Center at Dallas are developed, each characterized by different reliability considerations.     

Uniqueness of Group Decision Support Systems (GDSS) in medical and health applications

Group Decision Support Systems (GDSS) are defined and discussed. A GDSS model developed by the author is reviewed in depth for communication of the concepts of GDSS. The model's components are related to health care applications. Questions about unique requirements and level of sophistication in health care applications are explored. What are the differences? What is needed in GDSS software? How do implementation strategies differ? The purpose of this paper is to define and discuss the uniqueness and level of sophistication of GDSS applications in health care. The information requirements and level of information abstraction are the major forces considered in the design of specific medical GDSSs. Data for the GDSS and queries originate both internally and externally to the system. Raw data may be in image form and require extensive analysis by the decision makers for information to be extracted from the raw data. Efforts also are made to relate financial and medical data for better business decisions. This integration often has limited success. Additionally, financial data represent multiple sources and present concerns of validity and reliability. In medical diagnoses the knowledge bases are large and contain thousands of rules. Treatment planning and progress reporting rely on medical records that contain thousands of information items and that often require interpretation by an expert. These information attributes go beyond qualitative versus quantitative definitions and are the author's basis for the analysis presented in this paper.     

The SMART Platform: early experience enabling substitutable applications for electronic health records

Objective

The Substitutable Medical Applications, Reusable Technologies (SMART) Platforms project seeks to develop a health information technology platform with substitutable applications (apps) constructed around core services. The authors believe this is a promising approach to driving down healthcare costs, supporting standards evolution, accommodating differences in care workflow, fostering competition in the market, and accelerating innovation.

Materials and methods

The Office of the National Coordinator for Health Information Technology, through the Strategic Health IT Advanced Research Projects (SHARP) Program, funds the project. The SMART team has focused on enabling the property of substitutability through an app programming interface leveraging web standards, presenting predictable data payloads, and abstracting away many details of enterprise health information technology systems. Containers—health information technology systems, such as electronic health records (EHR), personally controlled health records, and health information exchanges that use the SMART app programming interface or a portion of it—marshal data sources and present data simply, reliably, and consistently to apps.

Results

The SMART team has completed the first phase of the project (a) defining an app programming interface, (b) developing containers, and (c) producing a set of charter apps that showcase the system capabilities. A focal point of this phase was the SMART Apps Challenge, publicized by the White House, using http://www.challenge.gov website, and generating 15 app submissions with diverse functionality.

Conclusion

Key strategic decisions must be made about the most effective market for further disseminating SMART: existing market-leading EHR vendors, new entrants into the EHR market, or other stakeholders such as health information exchanges.     

A problem-oriented approach to medical information systems

A relatively simple computer-based information system developed for a primary care group practice at the San Francisco Veterans Administration Hospital contributes to the management of the practice, to improvement of medical care for patients within the group, and to research studies on resource utilization in the management of chronic diseases and the evaluation of care of chronically ill patients. Preliminary results from the use of the information system are encouraging and demonstrate that much may be achieved by information systems that do not attempt to computerize the entire medical record.     

Handheld Technology to Improve Patient Care: Evaluating a Support System for Preference-based Care Planning at the Bedside

Objective: Despite an increasing movement toward shared decision making and the incorporation of patients'' preferences into health care decision making, little research has been done on the development and evaluation of support systems that help clinicians elicit and integrate patients'' preferences into patient care. This study evaluates nurses'' use of choice, a handheld-computer–based support system for preference-based care planning, which assists nurses in eliciting patients'' preferences for functional performance at the bedside. Specifically, it evaluates the effects of system use on nurses'' care priorities, preference achievement, and patients'' satisfaction.Design: Three-group sequential design with one intervention and two control groups (N=155). In the intervention group, nurses elicited patients'' preferences for functional performance with the handheld-computer–based choice application as part of their regular admission interview; preference information was added to patients'' charts and used in subsequent care planning.Results: Nurses'' use of choice made nursing care more consistent with patient preferences (F=11.4; P<0.001) and improved patients'' preference achievement (F=4.9; P<0.05). Furthermore, higher consistency between patients'' preferences and nurses'' care priorities was associated with higher preference achievement (r=0.49; P<0.001).Conclusion: In this study, the use of a handheld-computer–based support system for preference-based care planning improved patient-centered care and patient outcomes. The technique has potential to be included in clinical practice as part of nurses'' routine care planning.With the recent movement toward shared decision making in health care, a number of models, methods, and evaluative strategies to foster shared decision making have been developed. In the clinical, health services, and methodological literature, shared decision making refers to the concept of involving patients and their health care providers in making treatment decisions that are informed by the best available evidence about treatment options and that consider patients'' preferences.Devices to assist patients in shared decision making have been called “decision aids,”¹ and cumulative evidence supports their effectiveness. Studies evaluating decision aids for patients have reported higher scores on cognitive functioning and social support,² more active and satisfying participation in decision making,³ better scores on general health perceptions and physical functioning,⁴ improved knowledge,⁵ and reduced decisional conflict.¹ However, decision aids have so far been confined to the relatively narrow segment of decisions about single episodes of screening or treatment choices. Little attention has been given to the development of systems that help clinicians elicit and integrate patients'' preferences into the ongoing processes of care over time and as part of clinical practice.Although decision aids have been shown to be helpful to patients, it has been argued that decision support systems for eliciting patients'' preferences could also support clinicians in making care decisions consistent with patients'' preferences, and that successful efforts in this direction would lead to better patient outcomes.^6,7 However, the development of decision support systems designed to support clinicians in eliciting and integrating patients'' preferences into their clinical practice has received little attention. Developments of decision support systems for clinicians have mainly been devoted to knowledge-based systems designed to produce patient-specific options and recommendations, such as computer-based clinical guidelines. Other examples of clinical decision support systems include systems that apply rules to detect undesirable trends and events during treatment, offer reminders and messages about diagnostic and therapeutic possibilities, and alert clinicians to potential serious situations.⁸Evidence shows that clinical decision support systems can enhance clinicians'' compliance with system recommendations and to some degree improve clinical patient outcomes.^9,10 Yet such systems rarely offer systematic methods for eliciting patients'' preferences or incorporate algorithms for the integration of patients'' preferences into care planning. Furthermore, there has been only limited research addressing 1) whether the use of computer-based decision support systems to assist in the elicitation of patients'' preferences would in fact prompt clinicians to make care decisions consistent with patients'' preferences, and 2) whether decisions based on the use of such tools would improve patient outcomes. Developing and testing the effects of clinical support systems for preference elicitation and care planning on clinical decisions and patient outcomes can, therefore, make an important contribution to research in this area and, ultimately, to patient-centered care.This paper reports the results of nurses'' use of Choice (Creating better Health Outcomes by Improving Communication about Patients'' Expectations), a handheld-computer–based support system for preference-based care planning, which helps nurses elicit patients'' preferences for functional performance at the bedside—specifically, the effects of its use on nurses'' care priorities and patient outcomes of preference achievement and satisfaction.