From Nursing Information Systems to Patient Information Systems

1994 ◽  
Vol 33 (03) ◽  
pp. 302-303 ◽  
Author(s):  
P. M. Coward
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Patient Care ◽  
Health Care System ◽  
Patient Information ◽  
Clinical Information ◽  
Systems Development ◽  
Clinical Information Systems ◽  
Patient Centered ◽  
The Future

Abstract:Clinical information systems, developed for specific disciplines, reinforce the fragmentation of patient care and fail to support integrated, patient centered approaches. Fundamental restructuring of systems development is required to prepare the health care system and the practice of nursing for the future.

scholarly journals Rapid Assessment of Clinical Information Systems in the Healthcare Setting

2011 ◽  
Vol 50 (04) ◽  
pp. 299-307 ◽  
Author(s):  
J. S. Ash ◽  
D. F. Sittig ◽  
A. Bunce ◽  
K. Guappone ◽  
R. Dykstra ◽  
...  
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Multidisciplinary Team ◽  
Rapid Assessment ◽  
Clinical Information ◽  
The United States ◽  
Small Towns ◽  
Clinical Informatics ◽  
Assessment Process ◽  
Clinical Information Systems

SummaryObjective: Recent legislation in the United States provides strong incentives for implementation of electronic health records (EHRs). The ensuing transformation in U. S. health care will increase demand for new methods to evaluate clinical informatics interventions. Timeline constraints and a rapidly changing environment will make traditional evaluation techniques burdensome. This paper describes an anthropological approach that provides a fast and flexible way to evaluate clinical information systems.Methods: Adapting mixed-method evaluation approaches from anthropology, we describe a rapid assessment process (RAP) for assessing clinical informatics interventions in health care that we developed and used during seven site visits to diverse community hospitals and primary care settings in the U. S.Setting: Our multidisciplinary team used RAP to evaluate factors that either encouraged people to use clinical decision support (CDS) systems or interfered with use of these systems in settings ranging from large urban hospitals to single-practitioner, private family practices in small towns.Results: Critical elements of the method include: 1) developing a fieldwork guide; 2) carefully selecting observation sites and participants; 3) thoroughly preparing for site visits; 4) partnering with local collaborators; 5) collecting robust data by using multiple researchers and methods; and 6) analyzing and reporting data in a structured manner helpful to the oraganizations being evaluated.Conclusions: RAP, iteratively developed over the course of visits to seven clinical sites across the U.S., has succeeded in allowing a multidisciplinary team of informatics researchers to plan, gather and analyze data, and report results in a maximally efficient manner.

Nursing Classification and Terminology Systems

2003 ◽  
Vol 31 (1) ◽  
pp. 25-42 ◽  
Author(s):  
Evelyn J S Hovenga
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Research And Development ◽  
Nursing Practice ◽  
Statistical Data ◽  
Clinical Information ◽  
Clinical Information Systems ◽  
Future Research ◽  
Historical Overview ◽  
The Many

A number of terminologies exist that represent concepts of relevance to nurses, although none of these is in use by Australian nurses. Without consensus, nursing language and definitions incorporated in clinical information systems now being implemented will continue to vary considerably. The result will be an inability to compare nursing practice, or to aggregate data for research purposes, or to collect national statistical data to demonstrate the significance of nurses' contributions to health care. This article provides an international historical overview of nursing terminology developments relative to what is happening in Australia, brief reviews of the many available nursing terminologies, an update of this work relative to activities being undertaken towards the development and adoption of standards, and a discussion about desirable future research and development activities.

scholarly journals Clinical information systems for the management of tuberculosis in primary health care

2017 ◽  
Vol 25 (0) ◽  
Author(s):  
Eliabe Rodrigues de Medeiros ◽  
Sandy Yasmine Bezerra e Silva ◽  
Cáthia Alessandra Varela Ataide ◽  
Erika Simone Galvão Pinto ◽  
Maria de Lourdes Costa da Silva ◽  
...  
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Information Systems ◽  
Standard Deviation ◽  
Clinical Information ◽  
Clinical Information Systems ◽  
Tuberculosis Patients ◽  
Primary Health ◽  
Clinical Records ◽  
The City

ABSTRACT Objective: to analyze the clinical information systems used in the management of tuberculosis in Primary Health Care. Method: descriptive, quantitative cross-sectional study with 100 health professionals with data collected through a questionnaire to assess local institutional capacity for the model of attention to chronic conditions, as adapted for tuberculosis care. The analysis was performed through descriptive and inferential statistics. Results: Nurses and the Community Health Agents were classified as having fair capacity with a mean of 6.4 and 6.3, respectively. The city was classified as having fair capacity, with a mean of 6.0 and standard deviation of 1.5. Family Health Units had higher capacity than Basic Health Units and Mixed Units, although not statistically relevant. Clinical records and data on tuberculosis patients, items of the clinical information systems, had a higher classification than the other items, classified as having fair capacity, with a mean of 7.3 and standard deviation of 1.6, and the registry of TB patients had a mean of 6.6 and standard deviation of 2.0. Conclusion: clinical information systems are present in the city, mainly in clinical records and patient data, and they have the contribution of professionals linked with tuberculosis patients.

scholarly journals Recent Advancement of Clinical Information Systems: Opportunities and Challenges

2018 ◽  
Vol 27 (01) ◽  
pp. 083-090 ◽  
Author(s):  
Md. Mohaimenul Islam ◽  
Tahmina Nasrin Poly ◽  
Yu-Chuan Li
Keyword(s):  
Information Systems ◽  
Patient Information ◽  
Data Exchange ◽  
Healthcare Providers ◽  
Diagnostic Errors ◽  
Clinical Information ◽  
Organizational Factors ◽  
Field Studies ◽  
Quality Of Healthcare ◽  
Clinical Information Systems

Objectives: Clinical information systems (CISs) have generated opportunities for meaningful improvements both in patient care and workflow but there is still a long way to perfection. Healthcare providers are still facing challenges of data exchange, management, and integration due to lack of functionality among these systems. Our objective here is to systematically review, synthesize, and summarize the literature that describes the current stage of clinical information systems, so as to assess the current state of knowledge, and identify benefits and challenges. Methods: PubMed, EMBASE, and the bibliographies of articles were searched for studies published until September 1, 2017, which reported on significant advancement of clinical information systems, as well as problems and opportunities in this field. Studies providing the most detailed information were included and the others were kept only as references. Results: We selected 23 papers out of 1,026 unique abstracts for full-text review using our selection criteria, and 20 out of these 23 studies met all of our inclusion criteria. We focused on three major areas: 1) Ambulatory and inpatients clinical information systems; 2) Specialty information systems; and 3) Ancillary information systems. As CIS can support evidence-based practices that, in turn, improve patient's safety, quality and efficacy of care, advancement, acceptability, and adaptability of CIS have increased worldwide. Although, the demand for CIS functionality is rising fast, current CISs still have data integration challenges and lack of functionality to exchange patient information from all or some parts of the healthcare system. These limitations can be attributed to technical, human, and organizational factors Conclusion: Clinical information systems provide tremendous opportunities to reduce clinical errors such as medication errors and diagnostic errors and to support healthcare professionals by offering up-to-date patient information. They promise to improve workflow and efficiency of care, thus boosting the overall quality of healthcare.

scholarly journals Clinical Information Systems Integration in New York City's First Mobile Stroke Unit

2018 ◽  
Vol 09 (01) ◽  
pp. 089-098 ◽  
Author(s):  
Benjamin Kummer ◽  
Michael Lerario ◽  
Babak Navi ◽  
Adam Ganzman ◽  
Daniel Ribaudo ◽  
...  
Keyword(s):  
New York ◽  
Information Systems ◽  
Patient Care ◽  
Clinical Information ◽  
The United States ◽  
Clinical Information Systems ◽  
Order Entry ◽  
Technical Problems ◽  
Mobile Stroke Unit ◽  
Network Failures

Background Mobile stroke units (MSUs) reduce time to thrombolytic therapy in acute ischemic stroke. These units are widely used, but the clinical information systems underlying MSU operations are understudied. Objective The first MSU on the East Coast of the United States was established at New York Presbyterian Hospital (NYP) in October 2016. We describe our program's 7-month pilot, focusing on the integration of our hospital's clinical information systems into our MSU to support patient care and research efforts. Methods NYP's MSU was staffed by two paramedics, one radiology technologist, and a vascular neurologist. The unit was equipped with four laptop computers and networking infrastructure enabling all staff to access the hospital intranet and clinical applications during operating hours. A telephone-based registration procedure registered patients from the field into our admit/discharge/transfer system, which interfaced with the institutional electronic health record (EHR). We developed and implemented a computerized physician order entry set in our EHR with prefilled values to permit quick ordering of medications, imaging, and laboratory testing. We also developed and implemented a structured clinician note to facilitate care documentation and clinical data extraction. Results Our MSU began operating on October 3, 2016. As of April 27, 2017, the MSU transported 49 patients, of whom 16 received tissue plasminogen activator (t-PA). Zero technical problems impacting patient care were reported around registration, order entry, or intranet access. Two onboard network failures occurred, resulting in computed tomography scanner malfunctions, although no patients became ineligible for time-sensitive treatment as a result. Thirteen (26.5%) clinical notes contained at least one incomplete time field. Conclusion The main technical challenges encountered during the integration of our hospital's clinical information systems into our MSU were onboard network failures and incomplete clinical documentation. Future studies are necessary to determine whether such integrative efforts improve MSU care quality, and which enhancements to information systems will optimize clinical care and research efforts.

Implementing clinical information systems: a multiple-case study within a US hospital

2002 ◽  
Vol 15 (2) ◽  
pp. 71-92 ◽  
Author(s):  
Guy Paré
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Tertiary Care ◽  
Implementation Process ◽  
Clinical Information ◽  
Clinical Information Systems ◽  
Dynamic Nature ◽  
Systems Implementation ◽  
Information Systems Implementation

The rapid movement of information technologies into health care organizations has raised managerial concern regarding the capability of today's institutions to satisfactorily manage their introduction. Indeed, several health care institutions have consumed huge amounts of money and frustrated countless people in wasted information systems implementation efforts. Unfortunately, there are no easy answers as to why so many health informatics projects are not more successful. The aim of this study is to provide a deeper understanding of clinical information systems implementation. The research reported in this paper focuses on building a theory of the dynamic nature of the implementation process, that is, the how and why of what happened. The general approach taken was inspired by the work of Eisenhardt (1989) on building theories from case study research. We examined the implementation process, use and consequences of three distinct clinical information systems at a large tertiary care teaching hospital. A series of four research propositions reflecting the dynamic nature of the implementation process are offered as each of the three cases are analyzed. Findings add a number of new perspectives and empirical insights to the existing body of knowledge in the fields of IT implementation and medical informatics.

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