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Healthcare Information Systems

Section edited by Philip Payne

This section considers manuscripts on the development, use and evaluation of health information technology, health information exchange and electronic health records, as well as studies on barriers to technology acceptance in the healthcare setting

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  1. Hospitals across Australia are implementing Clinical Information Systems, e.g. Electronic Medication Management Systems (EMMS) at a rapid pace to moderate health services. The benefits of the EMMS depend on th...

    Authors: Milan Rasikbhai Vaghasiya, Jonathan Penm, Kevin K. Y. Kuan, Naren Gunja, Yiren Liu, Eui Dong Kim, Neysa Petrina and Simon Poon

    Citation: BMC Medical Informatics and Decision Making 2021 21:226

    Content type: Research article

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  2. Polypharmacy is common among older adults and it represents a public health concern, due to the negative health impacts potentially associated with the use of several medications. However, the large number of ...

    Authors: Caroline Sirois, Richard Khoury, Audrey Durand, Pierre-Luc Deziel, Olga Bukhtiyarova, Yohann Chiu, Denis Talbot, Alexandre Bureau, Philippe Després, Christian Gagné, François Laviolette, Anne-Marie Savard, Jacques Corbeil, Thierry Badard, Sonia Jean and Marc Simard

    Citation: BMC Medical Informatics and Decision Making 2021 21:219

    Content type: Study protocol

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  3. Linking Brazilian databases demands the development of algorithms and processes to deal with various challenges including the large size of the databases, the low number and poor quality of personal identifier...

    Authors: Claudia Medina Coeli, Valeria Saraceni, Paulo Mota Medeiros Jr., Helena Pereira da Silva Santos, Luis Carlos Torres Guillen, Luís Guilherme Santos Buteri Alves, Thomas Hone, Christopher Millett, Anete Trajman and Betina Durovni

    Citation: BMC Medical Informatics and Decision Making 2021 21:190

    Content type: Research article

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  4. In Japan, a multiple-hospital observational database system, the Medical Information Database Network (MID-NET®), was launched for post-marketing drug safety assessments. These assessments will be based on dat...

    Authors: Maki Komamine, Yoshiaki Fujimura, Yasuharu Nitta, Masatomo Omiya, Masaaki Doi and Tosiya Sato

    Citation: BMC Medical Informatics and Decision Making 2021 21:181

    Content type: Research article

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  5. Accurate, comprehensive, cause-specific mortality estimates are crucial for informing public health decision making worldwide. Incorrectly or vaguely assigned deaths, defined as garbage-coded deaths, mask the ...

    Authors: Sarah Charlotte Johnson, Matthew Cunningham, Ilse N. Dippenaar, Fablina Sharara, Eve E. Wool, Kareha M. Agesa, Chieh Han, Molly K. Miller-Petrie, Shadrach Wilson, John E. Fuller, Shelly Balassyano, Gregory J. Bertolacci, Nicole Davis Weaver, Alan D. Lopez, Christopher J. L. Murray and Mohsen Naghavi

    Citation: BMC Medical Informatics and Decision Making 2021 21:175

    Content type: Research article

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  6. Adverse drug reactions (ADRs) are regarded as a major cause of death and a major contributor to public health costs. For the active surveillance of drug safety, the use of real-world data and real-world eviden...

    Authors: Hyunah Shin and Suehyun Lee

    Citation: BMC Medical Informatics and Decision Making 2021 21:159

    Content type: Research article

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  7. Injuries are a major health issue worldwide and their prevention requires access to accurate statistics in this regard. This can be achieved by classifying the collected data using the international classifica...

    Authors: Leila Ahmadian, Fatemeh Salehi and Shabnam Padidar

    Citation: BMC Medical Informatics and Decision Making 2021 21:155

    Content type: Research article

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  8. In 2017, the Centers for Medicare and Medicaid Services required all long-term care facilities, including nursing homes, to have an antibiotic stewardship program. Many nursing homes lack the resources, expert...

    Authors: Sunah Song, Brigid M. Wilson, Joseph Marek and Robin L. P. Jump

    Citation: BMC Medical Informatics and Decision Making 2021 21:148

    Content type: Technical advance

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  9. Robust, flexible, and integrated health information (HIS) systems are essential to achieving national and international goals in health and development. Such systems are still uncommon in most low and middle i...

    Authors: Alpha Nsaghurwe, Vikas Dwivedi, Walter Ndesanjo, Haji Bamsi, Moses Busiga, Edwin Nyella, Japhet Victor Massawe, Dasha Smith, Kate Onyejekwe, Jonathan Metzger and Patricia Taylor

    Citation: BMC Medical Informatics and Decision Making 2021 21:139

    Content type: Technical advance

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  10. Accurate, coded problem lists are valuable for data reuse, including clinical decision support and research. However, healthcare providers frequently modify coded diagnoses by including or removing common cont...

    Authors: Eva S. Klappe, Florentien J. P. van Putten, Nicolette F. de Keizer and Ronald Cornet

    Citation: BMC Medical Informatics and Decision Making 2021 21:120

    Content type: Research article

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  11. There have been few studies describing how production EMR systems can be systematically queried to identify clinically-defined populations and limited studies utilising free-text in this process. The aim of th...

    Authors: Charmaine S. Tam, Janice Gullick, Aldo Saavedra, Stephen T. Vernon, Gemma A. Figtree, Clara K. Chow, Michelle Cretikos, Richard W. Morris, Maged William, Jonathan Morris and David Brieger

    Citation: BMC Medical Informatics and Decision Making 2021 21:91

    Content type: Research article

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  12. The Ministry of Health of Malaysia has invested significant resources to implement an electronic health record (EHR) system to ensure the full automation of hospitals for coordinated care delivery. Thus, evalu...

    Authors: Mohd Idzwan Mohd Salleh, Rosni Abdullah and Nasriah Zakaria

    Citation: BMC Medical Informatics and Decision Making 2021 21:75

    Content type: Research article

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  13. The electronic health record (EHR) holds the prospect of providing more complete and timely access to clinical information for biomedical research, quality assessments, and quality improvement compared to othe...

    Authors: Wade L. Schulz, H. Patrick Young, Andreas Coppi, Bobak J. Mortazavi, Zhenqiu Lin, Raymond A. Jean and Harlan M. Krumholz

    Citation: BMC Medical Informatics and Decision Making 2021 21:61

    Content type: Research article

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  14. Data from clinical registries may be linked to gain additional insights into disease processes, risk factors and outcomes. Identifying information varies from full names, addresses and unique identification co...

    Authors: Tim G. Coulson, Michael Bailey, Chris Reid, Gil Shardey, Jenni Williams-Spence, Sue Huckson, Shaila Chavan and David Pilcher

    Citation: BMC Medical Informatics and Decision Making 2021 21:37

    Content type: Research article

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  15. Health Information System is the key to making evidence-based decisions. Ethiopia has been implementing the Health Management Information System (HMIS) since 2008 to collect routine health data and revised it ...

    Authors: Moges Asressie Chanyalew, Mezgebu Yitayal, Asmamaw Atnafu and Binyam Tilahun

    Citation: BMC Medical Informatics and Decision Making 2021 21:28

    Content type: Research article

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  16. Birthweight is an important indicator during the fetal development process to protect the maternal and infant safety. However, birthweight is difficult to be directly measured, and is usually roughly estimated...

    Authors: Jing Tao, Zhenming Yuan, Li Sun, Kai Yu and Zhifen Zhang

    Citation: BMC Medical Informatics and Decision Making 2021 21:26

    Content type: Research article

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  17. The nursing process is the core and the standard of practice in nursing profession. Nowadays, the use of information technology in the field of nursing processes, education and practice has been emphasized. Si...

    Authors: Kobra Parvan, Fahimeh Alsadat Hosseini, Madineh Jasemi and Brian Thomson

    Citation: BMC Medical Informatics and Decision Making 2021 21:10

    Content type: Research article

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  18. The ability to report complete, accurate and timely data by HIV care providers and other entities is a key aspect in monitoring trends in HIV prevention, treatment and care, hence contributing to its eradicati...

    Authors: Milka Bochere Gesicho, Martin Chieng Were and Ankica Babic

    Citation: BMC Medical Informatics and Decision Making 2021 21:6

    Content type: Research article

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  19. Medication management processes in an Oncology setting are complex and difficult to examine in isolation from interrelated processes and contextual factors. This qualitative study aims to evaluate the usabilit...

    Authors: Racha Dabliz, Simon K. Poon, Angus Ritchie, Rosemary Burke and Jonathan Penm

    Citation: BMC Medical Informatics and Decision Making 2021 21:4

    Content type: Research article

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  20. Effective planning for disease prevention and control requires accurate, adequately-analysed, interpreted and communicated data. In recent years, efforts have been put in strengthening health management inform...

    Authors: Susan F. Rumisha, Emanuel P. Lyimo, Irene R. Mremi, Patrick K. Tungu, Victor S. Mwingira, Doris Mbata, Sia E. Malekia, Catherine Joachim and Leonard E. G. Mboera

    Citation: BMC Medical Informatics and Decision Making 2020 20:340

    Content type: Research article

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  21. Routine Health Information Systems (RHIS) of low-income countries function below the globally expected standard, characterised by the production and use of poor-quality data, or the non-use of good quality dat...

    Authors: Georges Nguefack-Tsague, Brian Bongwong Tamfon, Ismael Ngnie-Teta, Marie Nicole Ngoufack, Basile Keugoung, Serge Marcial Bataliack and Chanceline Bilounga Ndongo

    Citation: BMC Medical Informatics and Decision Making 2020 20:339

    Content type: Research article

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  22. Management of health data and its use for informed-decision making is a challenging health sector aspect in developing countries. Monitoring and evaluation of health interventions for meeting health-related Su...

    Authors: Brian Bongwong Tamfon, Chanceline Bilounga Ndongo, Serge Marcial Bataliack, Marie Nicole Ngoufack and Georges Nguefack-Tsague

    Citation: BMC Medical Informatics and Decision Making 2020 20:316

    Content type: Research article

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  23. The District Health Information Software-2 (DHIS2) is widely used by countries for national-level aggregate reporting of health-data. To best leverage DHIS2 data for decision-making, countries need to ensure t...

    Authors: Milka Bochere Gesicho, Martin Chieng Were and Ankica Babic

    Citation: BMC Medical Informatics and Decision Making 2020 20:293

    Content type: Research article

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  24. In Australia, health services are seeking innovative ways to utilize data stored in health information systems to report on, and improve, health care quality and health system performance for Aboriginal Austra...

    Authors: Nikki Percival, Priscilla Boucher, Kathleen Conte, Kate Robertson and Julie Cook

    Citation: BMC Medical Informatics and Decision Making 2020 20:286

    Content type: Research article

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  25. At present, Internet of Things technology has been widely used in various fields, and smart health is also one of its important application areas.

    Authors: Xuejie Yang, Xiaoyu Wang, Xingguo Li, Dongxiao Gu, Changyong Liang, Kang Li, Gongrang Zhang and Jinhong Zhong

    Citation: BMC Medical Informatics and Decision Making 2020 20:260

    Content type: Research article

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  26. Data security has been a critical topic of research and discussion since the onset of data sharing in e-health systems. Although digitalization of data has increased efficiency and speed, it has also made data...

    Authors: Maliha Sultana, Afrida Hossain, Fabiha Laila, Kazi Abu Taher and Muhammad Nazrul Islam

    Citation: BMC Medical Informatics and Decision Making 2020 20:256

    Content type: Research article

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  27. With cardiovascular disease increasing, substantial research has focused on the development of prediction tools. We compare deep learning and machine learning models to a baseline logistic regression using onl...

    Authors: Divneet Mandair, Premanand Tiwari, Steven Simon, Kathryn L. Colborn and Michael A. Rosenberg

    Citation: BMC Medical Informatics and Decision Making 2020 20:252

    Content type: Research article

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  28. Modern healthcare devices can be connected to computer networks and many western healthcare institutions run those devices in networks. At the same time, cyber attacks are on the rise and there is evidence tha...

    Authors: Markus Willing, Christian Dresen, Uwe Haverkamp and Sebastian Schinzel

    Citation: BMC Medical Informatics and Decision Making 2020 20:246

    Content type: Research article

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  29. Healthcare managers, in comparison with other healthcare professionals, have an increased likelihood of experiencing technostress at work. Since knowledge about the causes and severity of technostress and abou...

    Authors: Magdalena Stadin, Maria Nordin, Eleonor I. Fransson and Anders Broström

    Citation: BMC Medical Informatics and Decision Making 2020 20:244

    Content type: Research article

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  30. Today’s healthcare organizations want to implement secure and quality healthcare software as cyber-security is a significant risk factor for healthcare data. Considering security requirements during trustworth...

    Authors: Md Tarique Jamal Ansari, Fahad Ahmed Al-Zahrani, Dhirendra Pandey and Alka Agrawal

    Citation: BMC Medical Informatics and Decision Making 2020 20:236

    Content type: Research article

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  31. Despite the prevalent use and advantages of information systems in hospitals, some have failed to meet their predefined objectives. Surgery information system (SIS) is a sub-system of a hospital information sy...

    Authors: Faezeh Abbasi, Reza Khajouei and Moghaddameh Mirzaee

    Citation: BMC Medical Informatics and Decision Making 2020 20:229

    Content type: Research article

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  32. Data harmonisation (DH) has emerged amongst health managers, information technology specialists and researchers as an important intervention for routine health information systems (RHISs). It is important to u...

    Authors: Bey-Marrié Schmidt, Christopher J. Colvin, Ameer Hohlfeld and Natalie Leon

    Citation: BMC Medical Informatics and Decision Making 2020 20:222

    Content type: Research article

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  33. Nursing informatics (NI) along with growth and development of health information technology (HIT) is becoming a fundamental part of all domains of nursing practice especially in critical care settings. Nurses ...

    Authors: Somayeh Jouparinejad, Golnaz Foroughameri, Reza Khajouei and Jamileh Farokhzadian

    Citation: BMC Medical Informatics and Decision Making 2020 20:220

    Content type: Research article

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  34. The Health Information System (HIS) is a set of computerized tools for the collection, storage, management, and transmission of health data. The role of such tools in supporting the modernization of health sys...

    Authors: Cheick Oumar Bagayoko, Jack Tchuente, Diakaridia Traoré, Gaetan Moukoumbi Lipenguet, Raymond Ondzigue Mbenga, Aimé Patrice Koumamba, Myriam Corille Ondjani, Olive Lea Ndjeli and Marie-Pierre Gagnon

    Citation: BMC Medical Informatics and Decision Making 2020 20:202

    Content type: Research article

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  35. Determining the primary indication of a surgical procedure can be useful in identifying patients undergoing elective surgery where shared decision-making is recommended. The purpose of this study was to develo...

    Authors: John C. Giardina, Thomas Cha, Steven J. Atlas, Michael J. Barry, Andrew A. Freiberg, Lauren Leavitt, Felisha Marques and Karen Sepucha

    Citation: BMC Medical Informatics and Decision Making 2020 20:187

    Content type: Research article

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  36. User satisfaction with PACS is considered as one of the important criteria for assessing success in using PACS. The objective of this study was to determine the level of user satisfaction with PACS and to comp...

    Authors: Reza Abbasi, Monireh Sadeqi Jabali, Reza Khajouei and Hamidreza Tadayon

    Citation: BMC Medical Informatics and Decision Making 2020 20:180

    Content type: Research article

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  37. Research using linked routine population-based data collected for non-research purposes has increased in recent years because they are a rich and detailed source of information. The objective of this study is ...

    Authors: Daniela Almeida, David Gorender, Maria Yury Ichihara, Samila Sena, Luan Menezes, George C. G. Barbosa, Rosimeire L. Fiaccone, Enny S. Paixão, Robespierre Pita and Mauricio L. Barreto

    Citation: BMC Medical Informatics and Decision Making 2020 20:173

    Content type: Research article

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  38. Worldwide the rate of unplanned pregnancies is more than 40%. Identifying women at risk of pregnancy can help prevent negative outcomes and also reduce healthcare costs of potential complications. It can also ...

    Authors: Lucía Cea Soriano, Alex Asiimwe, Mieke Van Hemelrijck, Cecilia Bosco and Luis A. García Rodríguez

    Citation: BMC Medical Informatics and Decision Making 2020 20:164

    Content type: Research article

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  39. Unequivocal identification of patients is a precondition for a safe medical journey through different information systems (ISs) and software applications that are communicating and exchanging interoperable dat...

    Authors: Raffaella Vaccaroli, Frédéric Markus, Samuel Danhardt, Heiko Zimmermann, Francois Wisniewski, Pascale Lucas and Hervé Barge

    Citation: BMC Medical Informatics and Decision Making 2020 20:163

    Content type: Research article

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  40. The electronic patient record (EPR) has been introduced into nursing homes in order to facilitate documentation practices such as assessment and care planning, which play an integral role in the provision of d...

    Authors: Kate Shiells, Angie Alejandra Diaz Baquero, Olga Štěpánková and Iva Holmerová

    Citation: BMC Medical Informatics and Decision Making 2020 20:159

    Content type: Research article

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  41. The promises of improved health care and health research through data-intensive applications rely on a growing amount of health data. At the core of large-scale data integration efforts, clinical data warehous...

    Authors: Elena Pavlenko, Daniel Strech and Holger Langhof

    Citation: BMC Medical Informatics and Decision Making 2020 20:157

    Content type: Research article

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  42. The adoption of robotic-assisted surgery (RAS) requires a clear willingness, not only from healthcare organization to operate the robotic system but also from the public that is going to perceive it. This stud...

    Authors: Ali Jasem Buabbas, Saad Aldousari and Abrar Abdulmohsen Shehab

    Citation: BMC Medical Informatics and Decision Making 2020 20:140

    Content type: Research article

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  43. There is a shortage of medical informatics and data science platforms using cloud computing on electronic medical record (EMR) data, and with computing capacity for analyzing big data. We implemented, describe...

    Authors: Louis Ehwerhemuepha, Gary Gasperino, Nathaniel Bischoff, Sharief Taraman, Anthony Chang and William Feaster

    Citation: BMC Medical Informatics and Decision Making 2020 20:115

    Content type: Research article

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  44. Health care practice relies on evidence-based decisions and needs the use of quality health care data. Health management information system (HMIS) is among the core elements of health system building blocks. I...

    Authors: Mekonen Kebede, Emiru Adeba and Melese Chego

    Citation: BMC Medical Informatics and Decision Making 2020 20:107

    Content type: Research article

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  45. The inadequate follow-up of test results is a key patient safety concern, carrying severe consequences for care outcomes. Patients discharged from the emergency department are at particular risk of having test...

    Authors: Julie Li, Richard Paoloni, Ling Li, Joanne Callen, Johanna I. Westbrook, William B. Runciman and Andrew Georgiou

    Citation: BMC Medical Informatics and Decision Making 2020 20:100

    Content type: Research article

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  46. The Elliot wave principle commonly characterizes the impulsive and corrective wave trends for both financial market trends and electrocardiograms. The impulsive wave trends of electrocardiograms can annotate s...

    Authors: Jong-Rul Park, Sung Phil Chung, Sung Yeon Hwang, Tae Gun Shin and Jong Eun Park

    Citation: BMC Medical Informatics and Decision Making 2020 20:99

    Content type: Research article

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  47. With higher adoption of electronic health records at health-care centers, electronic search algorithms (computable phenotype) for identifying acute decompensated heart failure (ADHF) among hospitalized patient...

    Authors: Rahul Kashyap, Kumar Sarvottam, Gregory A. Wilson, Jacob C. Jentzer, Mohamed O. Seisa and Kianoush B. Kashani

    Citation: BMC Medical Informatics and Decision Making 2020 20:85

    Content type: Research article

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  48. Information systems implementation projects have been historically plagued by failures for which user resistance has consistently been identified as a salient reason. Most prior studies investigated either the...

    Authors: Wen-Chou Chi, Po-Jin Lin, I-Chiu Chang and Sing-Liang Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:82

    Content type: Review

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