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Implementing information technology in a behavioral health setting.

The art and practice of nursing in today's health care arena is becoming increasingly complex. One of the newest challenges in the field of behavioral health is the integration of quality health care with information technology. The authors of this paper examine four emerging aspects of information technology: the electronic medical record, automated medication distribution systems, computerized charting, and hand-held computers. The benefits, costs, uses of these technologies, and the potential problems they can provide in the field of behavioral health are discussed. Implications for nursing practice also are explored.

Behavioral Medicine↗

Applied informatics for quality assessment and improvement.

In our hospital, transition planning for order entry and clinical documentation has presented an opportunity for process changes and the ability to capture quality initiatives into data warehouses, where they can be utilized for building evidence-based practice. For example, the order entry and clinical documentation system allows for data retrieval of performance measures set by organizations including the Joint Commission on Accreditation of Healthcare Organizations, Centers for Medicare & Medicaid Services, and National Quality Forum. These data will reside in one system where they can be mined and extracted for reporting. Details of this magnitude are crucial when developing a CPR that will serve as the primary data source of clinical information. As we continue to seek IT solutions to improve patient safety and provide quality care, the use of informatics as a foundation in quality programs will provide the structure and database needed to support evidence-based practice at the point-of-care and reduce potential for error.

Academic Medical Centers↗

Information technology leadership in academic medical centers: a tale of four cultures.

Persons and groups within academic medical centers bring consistent and predictable viewpoints to planning and decision making. The varied professional and academic cultures of these individuals appear to account primarily for the diversity of their viewpoints. Understanding these professional cultures can help leaders achieve some predictability in the complex environments for which they are responsible. Leaders in information technology in particular, in order to be successful, must become part-time anthropologists, immersing themselves in the varied workplaces of their constituents to understand the work they do and the cultures that have grown up around this work. Only in this way will they be able to manage the challenges that arise continuously as the technology and the needs it can address change over time. In this article, the author briefly describes the concept of culture, portrays four specific professional cultures that typically coexist in academic medical centers, and argues that understanding these cultures is absolutely critical to effective management and use of information resources.

Academic Medical Centers↗

Informatics in radiology (infoRAD): A complete continuous-availability PACS archive server.

The operational reliability of the picture archiving and communication system (PACS) server in a filmless hospital environment is always a major concern because server failure could cripple the entire PACS operation. A simple, low-cost, continuous-availability (CA) PACS archive server was designed and developed. The server makes use of a triple modular redundancy (TMR) system with a simple majority voting logic that automatically identifies a faulty module and removes it from service. The remaining two modules continue normal operation with no adverse effects on data flow or system performance. In addition, the server is integrated with two external mass storage devices for short- and long-term storage. Evaluation and testing of the server were conducted with laboratory experiments in which hardware failures were simulated to observe recovery time and the resumption of normal data flow. The server provides maximum uptime (99.999%) for end users while ensuring the transactional integrity of all clinical PACS data. Hardware failure has only minimal impact on performance, with no interruption of clinical data flow or loss of data. As hospital PACS become more widespread, the need for CA PACS solutions will increase. A TMR CA PACS archive server can reliably help achieve CA in this setting.

Computer Communication Networks↗

[Looking for a needle in a haystack: record linkage techniques in health information systems].

Linking records from two or more data sets with information on an issue allows us to identify those belonging to the same individual. The linkage process can be manual, deterministic, or probabilistic. Probabilistic linkage was developed for those situations where there is no single identifier, the number of identifying variables is limited, and they have little discriminating power. Considering the possibilities for the linkage to be correct or incorrect and based on the degree of agreement among variables and their frequencies, this process weights each variable. This manuscript presents linkage techniques, describes probabilistic linkage step by step, and illustrates it with examples taken from the actual operation of our services.

Data Interpretation, Statistical↗

Software for logging of surgical cases.

A compiled database program is described to log surgical cases for otolaryngologists. It provides a time-efficient mechanism to manage a large database and also generates reports in two formats. In the first format, patient demographics, surgeons, and procedures are printed. In the second format, numerical tallies of performed procedures are listed.

Medical Informatics Applications↗

An informatics model for tissue banks--lessons learned from the Cooperative Prostate Cancer Tissue Resource.

BACKGROUND: Advances in molecular biology and growing requirements from biomarker validation studies have generated a need for tissue banks to provide quality-controlled tissue samples with standardized clinical annotation. The NCI Cooperative Prostate Cancer Tissue Resource (CPCTR) is a distributed tissue bank that comprises four academic centers and provides thousands of clinically annotated prostate cancer specimens to researchers. Here we describe the CPCTR information management system architecture, common data element (CDE) development, query interfaces, data curation, and quality control. METHODS: Data managers review the medical records to collect and continuously update information for the 145 clinical, pathological and inventorial CDEs that the Resource maintains for each case. An Access-based data entry tool provides de-identification and a standard communication mechanism between each group and a central CPCTR database. Standardized automated quality control audits have been implemented. Centrally, an Oracle database has web interfaces allowing multiple user-types, including the general public, to mine de-identified information from all of the sites with three levels of specificity and granularity as well as to request tissues through a formal letter of intent. RESULTS: Since July 2003, CPCTR has offered over 6,000 cases (38,000 blocks) of highly characterized prostate cancer biospecimens, including several tissue microarrays (TMA). The Resource developed a website with interfaces for the general public as well as researchers and internal members. These user groups have utilized the web-tools for public query of summary data on the cases that were available, to prepare requests, and to receive tissues. As of December 2005, the Resource received over 130 tissue requests, of which 45 have been reviewed, approved and filled. Additionally, the Resource implemented the TMA Data Exchange Specification in its TMA program and created a computer program for calculating PSA recurrence. CONCLUSION: Building a biorepository infrastructure that meets today's research needs involves time and input of many individuals from diverse disciplines. The CPCTR can provide large volumes of carefully annotated prostate tissue for research initiatives such as Specialized Programs of Research Excellence (SPOREs) and for biomarker validation studies and its experience can help development of collaborative, large scale, virtual tissue banks in other organ systems.

Databases as Topic↗

Detecting adverse events using information technology.

CONTEXT: Although patient safety is a major problem, most health care organizations rely on spontaneous reporting, which detects only a small minority of adverse events. As a result, problems with safety have remained hidden. Chart review can detect adverse events in research settings, but it is too expensive for routine use. Information technology techniques can detect some adverse events in a timely and cost-effective way, in some cases early enough to prevent patient harm. OBJECTIVE: To review methodologies of detecting adverse events using information technology, reports of studies that used these techniques to detect adverse events, and study results for specific types of adverse events. DESIGN: Structured review. METHODOLOGY: English-language studies that reported using information technology to detect adverse events were identified using standard techniques. Only studies that contained original data were included. MAIN OUTCOME MEASURES: Adverse events, with specific focus on nosocomial infections, adverse drug events, and injurious falls. RESULTS: Tools such as event monitoring and natural language processing can inexpensively detect certain types of adverse events in clinical databases. These approaches already work well for some types of adverse events, including adverse drug events and nosocomial infections, and are in routine use in a few hospitals. In addition, it appears likely that these techniques will be adaptable in ways that allow detection of a broad array of adverse events, especially as more medical information becomes computerized. CONCLUSION: Computerized detection of adverse events will soon be practical on a widespread basis.

Accidental Falls↗

Electronically screening discharge summaries for adverse medical events.

OBJECTIVE: Detecting adverse events is pivotal for measuring and improving medical safety, yet current techniques discourage routine screening. The authors hypothesized that discharge summaries would include information on adverse events, and they developed and evaluated an electronic method for screening medical discharge summaries for adverse events. DESIGN: A cohort study including 424 randomly selected admissions to the medical services of an academic medical center was conducted between January and July 2000. The authors developed a computerized screening tool that searched free-text discharge summaries for trigger words representing possible adverse events. MEASUREMENTS: All discharge summaries with a trigger word present underwent chart review by two independent physician reviewers. The presence of adverse events was assessed using structured implicit judgment. A random sample of discharge summaries without trigger words also was reviewed. RESULTS: Fifty-nine percent (251 of 424) of the discharge summaries contained trigger words. Based on discharge summary review, 44.8% (327 of 730) of the alerted trigger words indicated a possible adverse event. After medical record review, the tool detected 131 adverse events. The sensitivity and specificity of the screening tool were 69% and 48%, respectively. The positive predictive value of the tool was 52%. CONCLUSION: Medical discharge summaries contain information regarding adverse events. Electronic screening of discharge summaries for adverse events using keyword searches is feasible but thus far has poor specificity. Nonetheless, computerized clinical narrative screening methods could potentially offer researchers and quality managers a means to routinely detect adverse events.

Cohort Studies↗

Achievable steps toward building a National Health Information infrastructure in the United States.

Consensus is growing that a health care information and communication infrastructure is one key to fixing the crisis in the United States in health care quality, cost, and access. The National Health Information Infrastructure (NHII) is an initiative of the Department of Health and Human Services receiving bipartisan support. There are many possible courses toward its objective. Decision makers need to reflect carefully on which approaches are likely to work on a large enough scale to have the intended beneficial national impacts and which are better left to smaller projects within the boundaries of health care organizations. This report provides a primer for use by informatics professionals as they explain aspects of that dividing line to policy makers and to health care leaders and front-line providers. It then identifies short-term, intermediate, and long-term steps that might be taken by the NHII initiative.

Computers↗

Clinical computing in general dentistry.

OBJECTIVE: Measure the adoption and utilization of, opinions about, and attitudes toward clinical computing among general dentists in the United States. DESIGN: Telephone survey of a random sample of 256 general dentists in active practice in the United States. MEASUREMENTS: A 39-item telephone interview measuring practice characteristics and information technology infrastructure; clinical information storage; data entry and access; attitudes toward and opinions about clinical computing (features of practice management systems, barriers, advantages, disadvantages, and potential improvements); clinical Internet use; and attitudes toward the National Health Information Infrastructure. RESULTS: The authors successfully screened 1,039 of 1,159 randomly sampled U.S. general dentists in active practice (89.6% response rate). Two hundred fifty-six (24.6%) respondents had computers at chairside and thus were eligible for this study. The authors successfully interviewed 102 respondents (39.8%). Clinical information associated with administration and billing, such as appointments and treatment plans, was stored predominantly on the computer; other information, such as the medical history and progress notes, primarily resided on paper. Nineteen respondents, or 1.8% of all general dentists, were completely paperless. Auxiliary personnel, such as dental assistants and hygienists, entered most data. Respondents adopted clinical computing to improve office efficiency and operations, support diagnosis and treatment, and enhance patient communication and perception. Barriers included insufficient operational reliability, program limitations, a steep learning curve, cost, and infection control issues. CONCLUSION: Clinical computing is being increasingly adopted in general dentistry. However, future research must address usefulness and ease of use, workflow support, infection control, integration, and implementation issues.

Attitude to Computers↗

Information management and informatics: need for a modern pathology service.

Requirements for information technology in pathology now extend well beyond the provision of purely analytical data. With the aim of achieving seamless integration of laboratory data into the total clinical pathway, "informatics"--the art and science of turning data into useful information--is becoming increasingly important in laboratory medicine. Informatics is a powerful tool in pathology--whether in implementing processes for pathology modernization, introducing new diagnostic modalities (e.g. proteomics, genomics), providing timely and evidence-based disease management, or enabling best use of limited and often costly resources. Providing appropriate information to empowered and interested patients--which requires critical assessment of the ever-increasing volume of information available--can also benefit greatly from appropriate use of informatics. General trends in medical informatics are reflected in current priorities for laboratory medicine, including the need for unified electronic records, computerized order entry, data security and recovery, and audit. The increasing demands placed on pathology information systems in the context of wider developmental change in healthcare delivery are explored in this paper.

Data Collection↗