Health, Digitalization, and Individual Empowerment

2017 ◽  
pp. 380-402
Author(s):  
Alena Lagumdzija ◽  
Velmarie King Swing
Keyword(s):  
Information Technology ◽  
Medical Staff ◽  
Information Access ◽  
School Staff ◽  
Patient Records ◽  
Digital Learning ◽  
Electronic Patient Records ◽  
Positive Health ◽  
Technical Improvement ◽  
Medical Health

Internet, eHealth and digitalization have opened information access for patients and medical health users. Digitalization provides an opportunity for telemedicine, storage of Electronic Patient Records (EPRs) and net communication for both medical staff and patients with access. Digitalization and technical improvement have increased the usage of Internet based technologies and telephones for positive health coaching and digital-learning applications for all medical users, school staff, and students. The effect of Information Technology on healthcare and medical services can be described as revolutionary. Increasingly, the utilization of digital equipment and medical technology are employed in patients' homes.

Health, Digitalization, and Individual Empowerment

2017 ◽  
pp. 1-23
Author(s):  
Alena Lagumdzija ◽  
Velmarie King Swing
Keyword(s):  
Information Technology ◽  
Medical Staff ◽  
Information Access ◽  
School Staff ◽  
Patient Records ◽  
Digital Learning ◽  
Electronic Patient Records ◽  
Positive Health ◽  
Technical Improvement ◽  
Medical Health

Internet, eHealth and digitalization have opened information access for patients and medical health users. Digitalization provides an opportunity for telemedicine, storage of Electronic Patient Records (EPRs) and net communication for both medical staff and patients with access. Digitalization and technical improvement have increased the usage of Internet based technologies and telephones for positive health coaching and digital-learning applications for all medical users, school staff, and students. The effect of Information Technology on healthcare and medical services can be described as revolutionary. Increasingly, the utilization of digital equipment and medical technology are employed in patients' homes.

Introducing Electronic Patient Records to Hospitals

2011 ◽  
pp. 128-146 ◽  
Author(s):  
Reima Suomi
Keyword(s):  
Information Technology ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Patient Data ◽  
Point Of View ◽  
Customer Relationship ◽  
Healthcare Industry ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Technology Applications

Healthcare is on of the industries that is currently fast adopting information technology (IT) into use. Electronic patient records (EPRs) are at the hearth of healthcare information technology applications. However, patient data is seldom efficiently organized even within one organization, and when patient data is needed in applications covering several organizations, the situation becomes even more complicated. We draw some lessons on how EPR systems should look like from the customer relationship management literature point of view: After all, patients are the customers of healthcare institutions. As a guiding framework for this analysis we use the concepts developed by (Winter, Ammenwerth, et al,. 2001). Then we proceed to discuss how EPR systems diffuse in the healthcare industry and use the Internet standards adoption (ISA) model presented by (Hovav, Patnayakuni, et al., 2004) as a starting point. We apply this model to the diffusion of EPR systems in the healthcare industry. We found big differences between customer relationship management and EPRs management. Customer relationship management aims at long-term relationships and customer profitability, which are not strong goals for EPR systems. Our analysis too resulted to the conclusion that the practical innovation adoption bath for EPRs over paper-based patient records is that of adoption through coexistence.

Persecution complex: I am getting one over electronic patient records!

2017 ◽  
Vol 8 (2) ◽  
pp. 78-81
Author(s):  
S Misra ◽  
F Dyer ◽  
Professor P Sandler
Keyword(s):  
Information Technology ◽  
Secondary Care ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Plain Language ◽  
National Programme ◽  
Care Processes ◽  
Health And Social Care ◽  
The Impact ◽  
Blair Government

The electronic patient record (EPR) is a core organisational document in which integrated health and social care records and secondary care processes can be stored. EPR was the brain child of the NHS’ National Programme for Information Technology, under the Blair government. 1 Since then, attempts have been made to install EPR in secondary care – a typical example being the installation of specialist imaging systems in hospital trusts. 2 The primary aim of EPR was to make the NHS services efficient via digitised patient records that could be viewed, discussed and transferred electronically between clinicians and/or trusts. 1 , 3 Other anticipated uses of EPR were to provide easy patient access to services such as e-referrals and e-prescriptions, as well as appointment systems. 3 , 4 Here, we discuss EPR and information technology in plain language, and assess the impact of EPR on NHS secondary care orthodontic services.

The Future is Electronic

1995 ◽  
Vol 25 (3) ◽  
pp. 89-94
Author(s):  
Karen Luxford
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Medical Record ◽  
Present Article ◽  
Legal Issues ◽  
Central Feature ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Technological Developments

Electronic patient records are a central feature of many national policies on health information technology. The present article provides an overview of definitions for various degrees of medical record computerisation and current obstacles to implementation. A summary of progress in the areas of standards, specific technological developments and legal issues is provided. The wide ranging benefits of electronic patient records and the implications for health information managers and clinical coders are discussed.

Electronic Patient Records in Medical Practice: A Multidisciplinary Endeavor

1999 ◽  
Vol 38 (04/05) ◽  
pp. 287-288 ◽  
Author(s):  
J. van der Lei ◽  
P. W. Moorman ◽  
M. A. Musen
Keyword(s):  
Medical Practice ◽  
Patient Records ◽  
Electronic Patient Records

Postmarketing Surveillance Based on Electronic Patient Records: The IPCI Project

1999 ◽  
Vol 38 (04/05) ◽  
pp. 339-344 ◽  
Author(s):  
J. van der Lei ◽  
B. M. Th. Mosseveld ◽  
M. A. M. van Wijk ◽  
P. D. van der Linden ◽  
M. C. J. M. Sturkenboom ◽  
...  
Keyword(s):  
General Practitioner ◽  
General Practitioners ◽  
Validation Studies ◽  
Resource Planning ◽  
Routine Practice ◽  
Patient Records ◽  
Postmarketing Surveillance ◽  
Electronic Patient Records ◽  
Use Of Data ◽  
Data Requirements

AbstractResearchers claim that data in electronic patient records can be used for a variety of purposes including individual patient care, management, and resource planning for scientific research. Our objective in the project Integrated Primary Care Information (IPCI) was to assess whether the electronic patient records of Dutch general practitioners contain sufficient data to perform studies in the area of postmarketing surveillance studies. We determined the data requirements for postmarketing surveil-lance studies, implemented additional software in the electronic patient records of the general practitioner, developed an organization to monitor the use of data, and performed validation studies to test the quality of the data. Analysis of the data requirements showed that additional software had to be installed to collect data that is not recorded in routine practice. To avoid having to obtain informed consent from each enrolled patient, we developed IPCI as a semianonymous system: both patients and participating general practitioners are anonymous for the researchers. Under specific circumstances, the researcher can contact indirectly (through a trusted third party) the physician that made the data available. Only the treating general practitioner is able to decode the identity of his patients. A Board of Supervisors predominantly consisting of participating general practitioners monitors the use of data. Validation studies show the data can be used for postmarketing surveillance. With additional software to collect data not normally recorded in routine practice, data from electronic patient record of general practitioners can be used for postmarketing surveillance.

scholarly journals Electronic patient record and its effects on social aspects of interprofessional collaboration and clinical workflows in hospitals (eCoCo): a mixed methods study protocol

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Marina Beckmann ◽  
Kerstin Dittmer ◽  
Julia Jaschke ◽  
Ute Karbach ◽  
Juliane Köberlein-Neu ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Health Services ◽  
Healthcare Professionals ◽  
Social Research ◽  
Interprofessional Collaboration ◽  
Participant Observation ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Daily Work ◽  
Network Analyses

Abstract Background The need for and usage of electronic patient records within hospitals has steadily increased over the last decade for economic reasons as well as the proceeding digitalization. While there are numerous benefits from this system, the potential risks of using electronic patient records for hospitals, patients and healthcare professionals must also be discussed. There is a lack in research, particularly regarding effects on healthcare professionals and their daily work in health services. The study eCoCo aims to gain insight into changes in interprofessional collaboration and clinical workflows resulting from introducing electronic patient records. Methods eCoCo is a multi-center case study integrating mixed methods from qualitative and quantitative social research. The case studies include three hospitals that undergo the process of introducing electronic patient records. Data are collected before and after the introduction of electronic patient records using participant observation, interviews, focus groups, time measurement, patient and employee questionnaires and a questionnaire to measure the level of digitalization. Furthermore, documents (patient records) as well as structural and administrative data are gathered. To analyze the interprofessional collaboration qualitative network analyses, reconstructive-hermeneutic analyses and document analyses are conducted. The workflow analyses, patient and employee assessment analyses and classification within the clinical adoption meta-model are conducted to provide insights into clinical workflows. Discussion This study will be the first to investigate the effects of introducing electronic patient records on interprofessional collaboration and clinical workflows from the perspective of healthcare professionals. Thereby, it will consider patients’ safety, legal and ethical concerns and quality of care. The results will help to understand the organization and thereby improve the performance of health services working with electronic patient records. Trial registration The study was registered at the German clinical trials register (DRKS00023343, Pre-Results) on November 17, 2020.

scholarly journals Using electronic patient records to assess the effect of a complex antenatal intervention in a cluster randomised controlled trial—data management experience from the DESiGN Trial team

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Sophie Relph ◽  
◽  
Maria Elstad ◽  
Bolaji Coker ◽  
Matias C. Vieira ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Data Quality ◽  
Data Management ◽  
Randomised Control Trial ◽  
Data Dictionary ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Cluster Randomised ◽  
Quality Checks ◽  
Data Harmonisation

Abstract Background The use of electronic patient records for assessing outcomes in clinical trials is a methodological strategy intended to drive faster and more cost-efficient acquisition of results. The aim of this manuscript was to outline the data collection and management considerations of a maternity and perinatal clinical trial using data from electronic patient records, exemplifying the DESiGN Trial as a case study. Methods The DESiGN Trial is a cluster randomised control trial assessing the effect of a complex intervention versus standard care for identifying small for gestational age foetuses. Data on maternal/perinatal characteristics and outcomes including infants admitted to neonatal care, parameters from foetal ultrasound and details of hospital activity for health-economic evaluation were collected at two time points from four types of electronic patient records held in 22 different electronic record systems at the 13 research clusters. Data were pseudonymised on site using a bespoke Microsoft Excel macro and securely transferred to the central data store. Data quality checks were undertaken. Rules for data harmonisation of the raw data were developed and a data dictionary produced, along with rules and assumptions for data linkage of the datasets. The dictionary included descriptions of the rationale and assumptions for data harmonisation and quality checks. Results Data were collected on 182,052 babies from 178,350 pregnancies in 165,397 unique women. Data availability and completeness varied across research sites; each of eight variables which were key to calculation of the primary outcome were completely missing in median 3 (range 1–4) clusters at the time of the first data download. This improved by the second data download following clarification of instructions to the research sites (each of the eight key variables were completely missing in median 1 (range 0–1) cluster at the second time point). Common data management challenges were harmonising a single variable from multiple sources and categorising free-text data, solutions were developed for this trial. Conclusions Conduct of clinical trials which use electronic patient records for the assessment of outcomes can be time and cost-effective but still requires appropriate time and resources to maximise data quality. A difficulty for pregnancy and perinatal research in the UK is the wide variety of different systems used to collect patient data across maternity units. In this manuscript, we describe how we managed this and provide a detailed data dictionary covering the harmonisation of variable names and values that will be helpful for other researchers working with these data. Trial registration Primary registry and trial identifying number: ISRCTN 67698474. Registered on 02/11/16.

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