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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. 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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  2. 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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  3. 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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  4. 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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  5. 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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  6. 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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  7. 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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  8. 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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  9. 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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  10. 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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  11. 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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  12. 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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  13. 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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  14. 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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  15. 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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  16. 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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  17. 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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  18. 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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  19. 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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  20. The effects of patient sustained self-care behaviors on glycemic control are even greater than the effects of medical treatment, indicating the value of identifying the factors that influence self-care behavio...

    Authors: Ming-Jye Wang, Hung-Ming Lin, Li-Chen Hung and Yi-Ting Lo

    Citation: BMC Medical Informatics and Decision Making 2020 20:74

    Content type: Research article

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  21. In the UK, several initiatives have resulted in the creation of local data warehouses of electronic patient records. Originally developed for commissioning and direct patient care, they are potentially useful ...

    Authors: Alex Bottle, Carole Cohen, Amanda Lucas, Kavitha Saravanakumar, Zia Ul-Haq, Wayne Smith, Azeem Majeed and Paul Aylin

    Citation: BMC Medical Informatics and Decision Making 2020 20:71

    Content type: Research article

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  22. Implementing the health information system (HIS) is more complex and costly than implementing other information systems. The present study was conducted to design and evaluate technical requirements for the HIS.

    Authors: Mehrdad Farzandipour, Zahra Meidani, Ehsan Nabovati, Monireh Sadeqi Jabali and Razieh Dehghan Banadaki

    Citation: BMC Medical Informatics and Decision Making 2020 20:61

    Content type: Research article

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  23. The rapid adoption of electronic health records (EHRs) holds great promise for advancing medicine through practice-based knowledge discovery. However, the validity of EHR-based clinical research is questionabl...

    Authors: Sunyang Fu, Lester Y. Leung, Anne-Olivia Raulli, David F. Kallmes, Kristin A. Kinsman, Kristoff B. Nelson, Michael S. Clark, Patrick H. Luetmer, Paul R. Kingsbury, David M. Kent and Hongfang Liu

    Citation: BMC Medical Informatics and Decision Making 2020 20:60

    Content type: Research article

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  24. The Australian government has implemented a compulsory aged care accreditation system to guide and monitor the risk management approach in registered residential aged care (RAC) homes. This research assessed t...

    Authors: Ping Yu, Tao Jiang, David Hailey, Jun Ma and Siyu Qian

    Citation: BMC Medical Informatics and Decision Making 2020 20:58

    Content type: Research article

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  25. Research on the development and functioning of technology platforms specifically for health applications in sub-Saharan Africa (SSA), is limited. The healthcare sector has also been resistant to platform adopt...

    Authors: Hilde Herman, Sara S. Grobbelaar and Calie Pistorius

    Citation: BMC Medical Informatics and Decision Making 2020 20:55

    Content type: Research article

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  26. Laboratory testing occupies a prominent place in health care. Information technology systems have the potential to empower laboratory experts and to enhance the interpretation of test results in order to bette...

    Authors: Louis Raymond, Éric Maillet, Marie-Claude Trudel, Josianne Marsan, Ana Ortiz de Guinea and Guy Paré

    Citation: BMC Medical Informatics and Decision Making 2020 20:44

    Content type: Research article

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  27. Acceptance of Electronic patient portal (EPP) is instrumental for its success. Studies on users’ acceptance in the Middle East region are scarce. This study aims to use the TAM as a framework to quantitatively...

    Authors: Gladys N. Honein-AbouHaidar, Jumana Antoun, Karim Badr, Sani Hlais and Houry Nazaretian

    Citation: BMC Medical Informatics and Decision Making 2020 20:31

    Content type: Research article

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  28. Electronic Health Records (EHRs) have the potential to improve many aspects of care and their use has increased in the last decade. Because of this, acceptance and adoption of EHRs is less of a concern than ad...

    Authors: Cynthia J. Sieck, Nicole Pearl, Tiffani J. Bright and Po-Yin Yen

    Citation: BMC Medical Informatics and Decision Making 2020 20:25

    Content type: Research article

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  29. Height and weight data from electronic health records are increasingly being used to estimate the prevalence of childhood obesity. Here, we aim to assess the selection bias due to missing weight and height dat...

    Authors: Carmen Sayon-Orea, Conchi Moreno-Iribas, Josu Delfrade, Manuela Sanchez-Echenique, Pilar Amiano, Eva Ardanaz, Javier Gorricho, Garbiñe Basterra, Marian Nuin and Marcela Guevara

    Citation: BMC Medical Informatics and Decision Making 2020 20:9

    Content type: Research article

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  30. As healthcare facilities in Low- and Middle-Income Countries adopt digital health systems to improve hospital administration and patient care, it is important to understand the adoption process and assess the ...

    Authors: Naomi Muinga, Steve Magare, Jonathan Monda, Mike English, Hamish Fraser, John Powell and Chris Paton

    Citation: BMC Medical Informatics and Decision Making 2020 20:2

    Content type: Research article

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  31. To foster responsible data sharing in health research, ethical governance complementary to the EU General Data Protection Regulation is necessary. A governance framework for Big Data-driven research platforms ...

    Authors: S. Kalkman, M. Mostert, N. Udo-Beauvisage, J. J. van Delden and G. J. van Thiel

    Citation: BMC Medical Informatics and Decision Making 2019 19:283

    Content type: Research article

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  32. This study explored the possible antecedents that will motivate hospital employees’ compliance with privacy policy related to electronic medical records (EMR) from a deterrence perspective. Further, we also in...

    Authors: Kuang-Ming Kuo, Paul C. Talley and Tain-Junn Cheng

    Citation: BMC Medical Informatics and Decision Making 2019 19:254

    Content type: Research article

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  33. Electronic health record (EHR) data are available for research in all UK nations and cross-nation comparative studies are becoming more common. All UK inpatient EHRs are based around episodes, but episode-base...

    Authors: Sarah Rees, Ashley Akbari, Huw Collins, Sze Chim Lee, Amanda Marchant, Arfon Rees, Daniel Thayer, Ting Wang, Sophie Wood and Ann John

    Citation: BMC Medical Informatics and Decision Making 2019 19:246

    Content type: Research article

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  34. Hospital electronic information management systems (HEIMS) are widely used in Ghana, and hence its performance must be carefully assessed. Nurses as clinical health personnel are the largest cluster of hospita...

    Authors: Lu Lin Zhou, Joseph Owusu-Marfo, Henry Asante Antwi, Maxwell Opuni Antwi, Arielle Doris Tetgoum Kachie and Sabina Ampon-Wireko

    Citation: BMC Medical Informatics and Decision Making 2019 19:230

    Content type: Research article

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  35. The use of post-acute care (PAC) for cardiovascular conditions is highly variable across geographical regions. Although PAC benefits include lower readmission rates, better clinical outcomes, and lower mortali...

    Authors: Ineen Sultana, Madhav Erraguntla, Hye-Chung Kum, Dursun Delen and Mark Lawley

    Citation: BMC Medical Informatics and Decision Making 2019 19:223

    Content type: Research article

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  36. Global evidence suggests a range of benefits for introducing electronic health record (EHR) systems to improve patient care. However, implementing EHR within healthcare organisations is complex and, in the Uni...

    Authors: Carolyn McCrorie, Jonathan Benn, Owen Ashby Johnson and Arabella Scantlebury

    Citation: BMC Medical Informatics and Decision Making 2019 19:222

    Content type: Research article

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  37. About 50% of patients with Crohn’s disease (CD) and about 20% of those with ulcerative colitis (UC) undergo surgery at some point during the course of the disease. The diagnostic validity of the Swedish Nation...

    Authors: Anders Forss, Pär Myrelid, Ola Olén, Åsa H. Everhov, Caroline Nordenvall, Jonas Halfvarson and Jonas F. Ludvigsson

    Citation: BMC Medical Informatics and Decision Making 2019 19:217

    Content type: Research article

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  38. The secondary use of electronic health records (EHRs) promises to facilitate medical research. We reviewed general data requirements in observational studies and analyzed the feasibility of conducting observat...

    Authors: Marcel von Lucadou, Thomas Ganslandt, Hans-Ulrich Prokosch and Dennis Toddenroth

    Citation: BMC Medical Informatics and Decision Making 2019 19:202

    Content type: Research article

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  39. The admission, discharge and transfer (ADT) module is used in the hospital information system (HIS) for the purposes of managing appointments, patient admission, daily control of hospital beds, planning surger...

    Authors: Razieh Farrahi, Fatemeh Rangraz Jeddi, Ehsan Nabovati, Monireh Sadeqi Jabali and Reza Khajouei

    Citation: BMC Medical Informatics and Decision Making 2019 19:172

    Content type: Research article

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  40. The increasing complexity and volume of clinical data poses a challenge in the decision-making process. Data visualizations can assist in this process by speeding up the time required to analyze and understand...

    Authors: Andres Ledesma, Niranjan Bidargaddi, Jörg Strobel, Geoffrey Schrader, Hannu Nieminen, Ilkka Korhonen and Miikka Ermes

    Citation: BMC Medical Informatics and Decision Making 2019 19:170

    Content type: Research article

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  41. Electronic health records are now widely adopted in medical and behavioral health settings. While they have the potential to improve the quality of care, the research findings on their impact on clinical pract...

    Authors: Victoria Stanhope and Elizabeth B. Matthews

    Citation: BMC Medical Informatics and Decision Making 2019 19:168

    Content type: Research article

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  42. Electronic health records (EHRs) are an elementary part of the work of registered nurses (RNs) in healthcare. RNs are the largest group of healthcare workers, and their experiences with EHRs and their informat...

    Authors: Tuulikki Vehko, Hannele Hyppönen, Sampsa Puttonen, Sari Kujala, Eeva Ketola, Johanna Tuukkanen, Anna-Mari Aalto and Tarja Heponiemi

    Citation: BMC Medical Informatics and Decision Making 2019 19:160

    Content type: Research article

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  43. Patients generate large amounts of digital data through devices, social media applications, and other online activities. Little is known about patients’ perception of the data they generate online and its rela...

    Authors: Emily Seltzer, Jesse Goldshear, Sharath Chandra Guntuku, Dave Grande, David A. Asch, Elissa V. Klinger and Raina M. Merchant

    Citation: BMC Medical Informatics and Decision Making 2019 19:157

    Content type: Research article

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  44. Falls among older adults are both a common reason for presentation to the emergency department, and a major source of morbidity and mortality. It is critical to identify fall patients quickly and reliably duri...

    Authors: Brian W. Patterson, Gwen C. Jacobsohn, Manish N. Shah, Yiqiang Song, Apoorva Maru, Arjun K. Venkatesh, Monica Zhong, Katherine Taylor, Azita G. Hamedani and Eneida A. Mendonça

    Citation: BMC Medical Informatics and Decision Making 2019 19:138

    Content type: Research article

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  45. Coordination of care, especially after a patient experiences an acute care event, is a challenge for many health systems. Event notification is a form of health information exchange (HIE) which has the potenti...

    Authors: Brian E. Dixon, Ashley L. Schwartzkopf, Vivian M. Guerrero, Justine May, Nicholas S. Koufacos, Andrew M. Bean, Joan D. Penrod, Cathy C. Schubert and Kenneth S. Boockvar

    Citation: BMC Medical Informatics and Decision Making 2019 19:125

    Content type: Study protocol

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  46. Multiple studies have documented bias in medical decision making, but no studies have examined whether this bias extends to medical coding practices. Medical coding is foundational to the US health care enterp...

    Authors: Jacqueline M. Torres, Danielle Hessler-Jones, Carol Yarbrough, Adam Tapley, Raemarie Jimenez and Laura M. Gottlieb

    Citation: BMC Medical Informatics and Decision Making 2019 19:115

    Content type: Research article

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  47. Dengue is a serious problem around the globe, with 3.9 billion people at risk of the disease. Sri Lanka has recently seen unprecedented rates of dengue with 4.3 times more cases than during the same period ove...

    Authors: May O. Lwin, Anita Sheldenkar, Chitra Panchapakesan, Janelle Shaina Ng, Jerrald Lau, Karthikayen Jayasundar, Kasun Horathalge, Vajira Sampath Rathnayake, Adam W. Crawley and Prasad Wimalaratne

    Citation: BMC Medical Informatics and Decision Making 2019 19:111

    Content type: Software

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  48. Disease trajectories for chronic diseases can span over several decades, with several time-dependent factors affecting treatment decisions. Thus, there is a need for long-term predictions of disease trajectori...

    Authors: Eugenio Ventimiglia, Mieke Van Hemelrijck, Lars Lindhagen, Pär Stattin and Hans Garmo

    Citation: BMC Medical Informatics and Decision Making 2019 19:103

    Content type: Research article

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