Development of a Minimum Data Set for Drug Module of Computerized Physician Order Entry System

Introduction: One way to reduce medication errors in the cardiovascular settings is to electronically prescribe medication through the computerized physician order entry system (CPOE). Improper design and non-compliance with users' needs are obstacles to implementing this system. Therefore, it is necessary to consider the standard minimum data set (MDS) of this system in order to meet the basic needs of its users. The aim of this study was to introduce MDS in the cardiovascular CPOE drug system to standardize data items as well as to facilitate data sharing and integration with other systems.Material and Methods: This study was a survey study conducted in 1399 in Iran. The study population was all cardiologists in Iran. The data collection tool was a researcher-made questionnaire consisting of 33 questions. Data were analyzed in SPSS-24 using descriptive statistics.Results: A total of 31 cardiologists participated in this study. The participants identified 19 of the 25 drug data items as essential for drug MDS. Five data items (Medication name, Medication dosage, Medication frequency, Medication start date and Patient medication history) were considered essential by more than 90% of the participants.Conclusion: The results of this study identified drug MDS for the cardiovascular CPOE system. The results of this study can be a model for CPOE system designers to develop new systems or upgrade existing systems.

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Understanding Physicians' Acceptance of Computerized Physician Order Entry

Healthcare Information Systems and Informatics ◽

10.4018/978-1-59904-690-7.ch009 ◽

2011 ◽

pp. 185-201

Author(s):

Huigang Liang ◽

Yajiong Xue ◽

Xiaocheng Wu

Keyword(s):

Positive Impact ◽

Care Quality ◽

Ease Of Use ◽

Survey Study ◽

Computerized Physician Order Entry ◽

Perceived Ease Of Use ◽

Order Entry ◽

Data Analyses ◽

The One ◽

Physician Order Entry

Computerized physician order entry (CPOE) holds potential of reducing medical errors, improving care quality, and cutting healthcare costs. Yet its success depends on physicians’ acceptance and usage. We test if TAM can be used to explain physician acceptance of CPOE. A survey study was conducted on physicians who have access to CPOE in a large general hospital in China. Data analyses based on 103 responses support all of the relationships predicted by TAM except the one between perceived ease of use and attitude. With additional data analyses, we find that the PEOU-attitude relationship is negatively moderated by physicians’ experience of using CPOE. PEOU does not affect attitude for experienced physicians, whereas when physicians are inexperienced, PEOU has a positive impact on attitude. Our findings suggest that TAM can be applied to explain physicians’ acceptance of CPOE, yet its application should be performed with caution.

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Is the ICU staff satisfied with the computerized physician order entry? A cross-sectional survey study

Revista Brasileira de Terapia Intensiva ◽

10.5935/0103-507x.20140001 ◽

2014 ◽

Vol 26 (1) ◽

pp. 1-6 ◽

Cited By ~ 1

Author(s):

Renata Rego Lins Fumis ◽

Eduardo Leite Vieira Costa ◽

Paulo Sergio Martins ◽

Vladimir Pizzo ◽

Ivens Augusto Souza ◽

...

Keyword(s):

Survey Study ◽

Computerized Physician Order Entry ◽

Order Entry ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Physician Order Entry

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Modeling of Computerized Physician Order Entry with Decision Support System for Diabetic Patients

Frontiers in Health Informatics ◽

10.30699/fhi.v9i1.206 ◽

2020 ◽

Vol 9 (1) ◽

pp. 26

Author(s):

Leila Shahmoradi ◽

Marjan Ghazi Saeedi ◽

Safieh Ilati Khangholi ◽

Arezoo Dehghani Mahmoodabadi

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Minimum Data Set ◽

Diabetic Patients ◽

Functional Requirements ◽

Data Set ◽

Minimum Data ◽

Physician Order Entry

Introduction: Providing care for patients and preventing complications is one of the major subjects in medical sciences. Computerized Physician Order Entry (CPOE) with a decision support system is expected to deliver many benefits. A system with decision support system may help clinicians, patients, and others to suggest patient-appropriate evidence-based treatment options.The present study was conducted to prepare a conceptual model for a CPOE system of diabetic patients (Type 2) using Unified Modeling Language (UML). Then, a software program was designed accordingly.Method: This cross-sectional study was conducted in 2017. A minimum data set of patient records was used as the patient profile in the system, and a list of drugs and functional requirements of the CPOE system for diabetic patients was provided. Following the confirmation of the minimum data set by diabetes specialists, UML figures were drawn and the software was designed.Results: The minimum data set of patient records included demographic and clinical information as well as laboratory tests. Functional requirements of the CPOE system for type 2 diabetic patients consisted of the possibility of recording simple and complicated orders, connecting the system to the pharmacy or other auxiliary information systems, controlling drug side effects, etc.Conclusion: A CPOE system should have minimum errors in documentations and provide information on allergies, drug interactions, and side effects in a timely manner to reduce medical errors, especially drug errors, increase physician efficiency and patient satisfaction, and finally promote the quality of healthcare services.

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Computerized physician order entry needs further refinement to substantially reduce medication errors in primary care

PsycEXTRA Dataset ◽

10.1037/e556402006-019 ◽

2004 ◽

Keyword(s):

Primary Care ◽

Medication Errors ◽

Computerized Physician Order Entry ◽

Order Entry ◽

Physician Order Entry

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Child abuse and neglect surveillance systems via minimum data set indicators

PsycEXTRA Dataset ◽

10.1037/e578482014-143 ◽

2013 ◽

Author(s):

Athanasios Ntinapogias ◽

George Nikolaidis

Keyword(s):

Child Abuse ◽

Child Abuse And Neglect ◽

Minimum Data Set ◽

Surveillance Systems ◽

Data Set ◽

Minimum Data ◽

Abuse And Neglect

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State Medical Boards' Perceptions of a Minimum Data Set and Current Practices for Collecting Physician Information

Journal of Medical Regulation ◽

10.30770/2572-1852-99.4.40 ◽

2013 ◽

Vol 99 (4) ◽

pp. 40-45 ◽

Cited By ~ 1

Author(s):

Aaron Young ◽

Philip Davignon ◽

Margaret B. Hansen ◽

Mark A. Eggen

Keyword(s):

Media Coverage ◽

The United States ◽

Minimum Data Set ◽

Direct Patient Care ◽

Physician Workforce ◽

Data Set ◽

Minimum Data ◽

State Medical Boards ◽

The Impact ◽

Current Practices

ABSTRACT Recent media coverage has focused on the supply of physicians in the United States, especially with the impact of a growing physician shortage and the Affordable Care Act. State medical boards and other entities maintain data on physician licensure and discipline, as well as some biographical data describing their physician populations. However, there are gaps of workforce information in these sources. The Federation of State Medical Boards' (FSMB) Census of Licensed Physicians and the AMA Masterfile, for example, offer valuable information, but they provide a limited picture of the physician workforce. Furthermore, they are unable to shed light on some of the nuances in physician availability, such as how much time physicians spend providing direct patient care. In response to these gaps, policymakers and regulators have in recent years discussed the creation of a physician minimum data set (MDS), which would be gathered periodically and would provide key physician workforce information. While proponents of an MDS believe it would provide benefits to a variety of stakeholders, an effort has not been attempted to determine whether state medical boards think it is important to collect physician workforce data and if they currently collect workforce information from licensed physicians. To learn more, the FSMB sent surveys to the executive directors at state medical boards to determine their perceptions of collecting workforce data and current practices regarding their collection of such data. The purpose of this article is to convey results from this effort. Survey findings indicate that the vast majority of boards view physician workforce information as valuable in the determination of health care needs within their state, and that various boards are already collecting some data elements. Analysis of the data confirms the potential benefits of a physician minimum data set (MDS) and why state medical boards are in a unique position to collect MDS information from physicians.

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