Relevant bibliographies by topics / Cloud-based electronic health records

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cloud-based electronic health records'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Cloud-based electronic health records"

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R, Abinaya, Devapriya A, and Purushothaman R. "Cloud based accessibility of Electronic Health Record from android application." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 551–54. http://dx.doi.org/10.31142/ijtsrd10980.

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Yanto, Oliviani, Kezia Annabel Rinda Putri, and Dyah Hapsari Prananingrum. "Rekam Medis Elektronik Berbasis Cloud Computing: Pertanggungjawaban Hukum Akibat Kebocoran Data Pasien." Widya Yuridika 8, no. 1 (2025): 71–82. https://doi.org/10.31328/wy.v8i1.5864.

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The primary objective of this research is to analyze legal liability in breach of patient’s medical record in SatuSehat platform that provides Cloud Computing-based electronic medical record. This research is a document study or normative legal research that uses conceptual approach and statute approach. The Omnibus Health Law and Minister of Health Regulation about Medical Records require in implementation of medical records must be in electronic form or electronic medical records. As a result of this obligation, legal issue arises related to the protection and confidentiality of patient data
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Kanwal, Tehsin, Ather Abdul Jabbar, Adeel Anjum, et al. "Privacy-aware relationship semantics–based XACML access control model for electronic health records in hybrid cloud." International Journal of Distributed Sensor Networks 15, no. 6 (2019): 155014771984605. http://dx.doi.org/10.1177/1550147719846050.

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State-of-the-art progress in cloud computing encouraged the healthcare organizations to outsource the management of electronic health records to cloud service providers using hybrid cloud. A hybrid cloud is an infrastructure consisting of a private cloud (managed by the organization) and a public cloud (managed by the cloud service provider). The use of hybrid cloud enables electronic health records to be exchanged between medical institutions and supports multipurpose usage of electronic health records. Along with the benefits, cloud-based electronic health records also raise the problems of
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S.Babu, Babu K.Nagendra, K.Chaitanya, Ganesh Y.Siva, and MB.Mahesh. "A Development of Medical Records Management System to Health Care Decision Makers using Cloud Technologies." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 1321–23. https://doi.org/10.35940/ijeat.D8361.049420.

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Electronic Health Record systems continue to be incorporated into health care facilities to reduce the problems and limits of paper-based methodology but their deployment has been slow due to high investment and storage costs. The Enterprise Electronic Cloud-based Health Record System is planned, created and checked for recording, recovering, chronicling and surveying patients and other clinical records. Cloud Data fills in as a coordinates information bank over every single authoritative emergency clinic, middleware gives a typical stage to all electronic health record frameworks between remo
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Laxmeshwar, Swati, and Deepak N.R. "A Survey on Efficient Block Chain Authentication Scheme Based on Electronic Health Records." International Journal of Innovative Science and Research Technology 5, no. 6 (2020): 265–69. http://dx.doi.org/10.38124/ijisrt20jun406.

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With the quick selection of the Cloud-based Electronic Health Record ( EHR) frameworks, health providers are particularly concerned about overseeing cloud-based information protection. Current methodologies either have a flexibility bottleneck requiring patients to accept each sharing of their clinical details or a confidence bottleneck by providing a sole power control of each entry, thus increasing the issue of a single intention of attack. The exchange of electronic health records ( EHRs) has a very good centrality for infection studies and the commitment of specialists Lately, a cloud-base
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Subhalakshmi, N., and M. V. Srinath. "e-Healthsec: A Cloud-Based Privacy-Preserving Electronic Health History Framework using NLP with Multi-Layer Encryption." Indian Journal Of Science And Technology 18, no. 6 (2025): 415–29. https://doi.org/10.17485/ijst/v18i6.51.

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Background: An effective protection of the large volume of health data and Electronic Health History (EHHs) is a significant challenge in cloud. Physicians need patient’s medical records, including multimedia big data analytics to diagnose patient. Online EHH allows patients to efficiently manage their health records. This can be efficiently achieved by using cloud computing to store EHH. Objectives: The research aims to preserve patients' privacy by efficiently protecting their sensitive EHH in cloud storage by developing a multi-layered encryption framework. Methods: EHHs are encrypted using
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Bahga, Arshdeep, and Vijay K. Madisetti. "A Cloud-based Approach for Interoperable Electronic Health Records (EHRs)." IEEE Journal of Biomedical and Health Informatics 17, no. 5 (2013): 894–906. http://dx.doi.org/10.1109/jbhi.2013.2257818.

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Ganiga, Raghavendra, Radhika M. Pai, Manohara Pai M. M., and Rajesh Kumar Sinha. "Security framework for cloud based electronic health record (EHR) system." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (2020): 455. http://dx.doi.org/10.11591/ijece.v10i1.pp455-466.

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Health records are an integral aspect of any Hospital Management System. With newer innovations in technology, there has been a shift in the way of recording health information. Medical records which used to be managed using various paper charts have now become easier to organize and maintain, thereby increasing the efficiency of medical staff. The Electronic Health Records (EHR) System is becoming a high-tech medical management technology developed for the economic or emerging economic countries like India. In a national health system, the EHR integrates the Electronic Medical Records (EMR) i
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Raghavendra, Ganiga, M. Pai Radhika, Pai M. M. Manohara, and Kumar Sinha Rajesh. "Security framework for cloud based Electronic Health Record (EHR) system." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (2020): 455–66. https://doi.org/10.11591/ijece.v10i1.pp455-466.

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Health records are an integral aspect of any Hospital Management System. With newer innovations in technology, there has been a shift in the way of recording health information. Medical records which used to be managed using various paper charts have now become easier to organize and maintain, thereby increasing the efficiency of medical staff. The Electronic Health Records (EHR) System is becoming a high-tech medical management technology developed for the economic or emerging economic countries like India. In a national health system, the EHR integrates the Electronic Medical Records (EMR) i
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Exceline, C. Eben, and Sivakumar Nagarajan. "The Security of Blockchain-based Electronic Health Record: A Systematic Review." International Journal of Computer Network and Information Security 15, no. 6 (2023): 103–17. http://dx.doi.org/10.5815/ijcnis.2023.06.09.

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The healthcare industry makes rampant strides in sharing electronic health records with upgraded efficiency and delivery. Electronic health records comprise personal and sensitive information of patients that are confidential. The current security mechanism in cloud computing to store and share electronic health records results in data breaches. In the recent era, blockchain is introduced in storing and accessing electronic health records. Blockchain is utilized for numerous applications in the healthcare industry, such as remote patient tracking, biomedical research, collaborative decision ma
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Dissertations / Theses on the topic "Cloud-based electronic health records"

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Seethamraju, Arun Tej. "Attribute Based Encryption of Electronic Health Records : Comparative study of existing algorithms." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14093.

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Cloud Computing today, is an evolving technology which features large Data Storage and ready-to-access from any device. The Healthcare Industry stores large Databases of patient’s records, considering the advantages of Cloud Computing it is looking forward to moving on from the traditional, proprietary Database Management Model into an Open Source Cloud DBMS Model. To complete this transition, it is of primary importance to provide Privacy and Security for Electronic Medical Record / Electronic Health Record. There are several kinds of research being done on how to mitigate these privacy issue
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Tyler, Lamonte Bryant. "Exploring the Implementation of Cloud Security to Minimize Electronic Health Records Cyberattacks." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5281.

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Health care leaders lack the strategies to implement cloud security for electronic medical records to prevent a breach of patient data. The purpose of this qualitative case study was to explore strategies senior information technology leaders in the healthcare industry use to implement cloud security to minimize electronic health record cyberattacks. The theory supporting this study was routine activities theory. Routine activities theory is a theory of criminal events that can be applied to technology. The study's population consisted of senior information technology leaders from a medical fa
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Chen, Rong. "Towards interoperable and knowledge-based electronic health records using archetype methodology /." Linköping : Department of Biomedical Engineering, Linköpings universitet, 2009. http://www.bibl.liu.se/liupubl/disp/disp2009/tek1280s.htm.

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Xu, Lingyu. "Design and implementation of a credible blockchain-based e-health records platform." University of Western Cape, 2020. http://hdl.handle.net/11394/7883.

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>Magister Scientiae - MSc<br>With the development of information and network technologies, Electronic Health Records (EHRs) management system has gained wide spread application in managing medical records. One of the major challenges of EHRs is the independent nature of medical institutions. This non-collaborative nature puts a significant barrier between patients, doctors, medical researchers and medical data. Moreover, unlike the unique and strong anti-tampering nature of traditional paper-based records, electronic health records stored in centralization database are vulnerable to ris
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Osop, Hamzah Bin. "A practice-based evidence approach for clinical decision support." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/123320/2/Hamzah%20Bin%20Osop%20Thesis.pdf.

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This thesis studies the conceptualisation and evaluation of a Practice-Based Evidence approach to decision making in healthcare. It examines the existing ICT architecture of a public hospital in Singapore to design a decision support system that leverages practical clinical evidence meaningfully captured in electronic health records. In doing so, healthcare professionals are supported in decision making through findings from past similar patients that can be generalised to the current patient population.
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Huang, Jiawei. "The Road to a Nationwide Electronic Health Record System: Data Interoperability and Regulatory Landscape." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2224.

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This paper seeks to break down how a large scale Electronic Health Records system could improve quality of care and reduce monetary waste in the healthcare system. The paper further explores issues regarding regulations to data exchange and data interoperability. Due to the massive size of healthcare data, the exponential increase in the speed of data generation through innovative technologies, and the complexity of healthcare data types, the widespread of a large-scale EHR system has hit barriers. Much of the data available is unstructured or contained within a singular healthcare provider’s
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Attipoe, Selasi. "Electronic Health Record Work Outside of Work Hours: Patterns and Experiences Among Ambulatory-based Pediatricians at a Large Midwestern Pediatric Health System." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1618840175908441.

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Li, Ming. "User-Centric Security and Privacy Mechanisms in Untrusted Networking and Computing Environments." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-dissertations/323.

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"Our modern society is increasingly relying on the collection, processing, and sharing of digital information. There are two fundamental trends: (1) Enabled by the rapid developments in sensor, wireless, and networking technologies, communication and networking are becoming more and more pervasive and ad hoc. (2) Driven by the explosive growth of hardware and software capabilities, computation power is becoming a public utility and information is often stored in centralized servers which facilitate ubiquitous access and sharing. Many emerging platforms and systems hinge on both dimensions, suc
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Don, Wickramage Chathurika Pavithrani Kumari. "Information accountability in health information systems using process analytics." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/205044/1/Chathurika_Don%20Wickramage_Thesis.pdf.

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The thesis presents ways of automatically detecting healthcare policy violations in Health Information Systems (HISs), as one part of an overall Information Accountability Framework, intended to hold system users answerable for their information use. The significance of this research is the demonstration of an auditing approach that includes healthcare log enrichment and methods of modelling healthcare policies and standards that can be used for checking policy compliance in the healthcare industry. It also paves the way for how process analytics can be used to hold people accountable for thei
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Mxoli, Ncedisa Avuya Mercia. "Guidelines for secure cloud-based personal health records." Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/14134.

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Traditionally, health records have been stored in paper folders at the physician’s consulting rooms – or at the patient’s home. Some people stored the health records of their family members, so as to keep a running history of all the medical procedures they went through, and what medications they were given by different physicians at different stages of their lives. Technology has introduced better and safer ways of storing these records, namely, through the use of Personal Health Records (PHRs). With time, different types of PHRs have emerged, i.e. local, remote server-based, and hybrid PHRs.
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Books on the topic "Cloud-based electronic health records"

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Senate, United States Congress. A bill to amend titles XVIII and XIX of the Social Security Act to preserve beneficiary access to care by preventing a reduction in the Medicare physician fee schedule, to improve the quality of care by advancing value based purchasing, electornic health records, and electronic prescribing, and to maintain and improve access to care in rural areas, and for other purposes. U.S. G.P.O., 2008.

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Strain, Jay J., Akhil Shenoy, and James J. Strain. An Updated Electronic Health Record (EHR) for Depression Management. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190603342.003.0013.

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Depression is a ubiquitous illness for which primary care is now on the front line, providing care to millions of patients. Identifying these patients and providing adequate care is beyond the capabilities of our current medical approach. New algorithms from research and unique techniques based on new technologies now exist for optimizing our current Electronic Health Records (EHR) into a powerful support tool for psychiatric patient care. This chapter examines the theories, biopsychosocial techniques, ongoing research, technologies, and protocols from other areas of Medicine that have been su
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Alagoz, Esra, Kim Johnson, Andrew Quanbeck, and David Gustafson. Technology-Based Interventions for Late-Life Addiction. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199392063.003.0011.

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Late-life addiction has been a neglected topic in the field of substance-use disorders research. Research suggests that with the aging baby-boomer generation, decline in fertility rates, and increases in life expectancy, there will be an increasing demand on the substance-abuse treatment systems designed specifically for individuals aged 65 and older in the next decade. Emerging technologies such as electronic health records, dashboards, communication tools, and new-generation monitoring devices offer significant opportunities to advance the treatment and recovery management of substance use d
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Cohall, Alwyn T., Vaughn Rickert, and Owen Ryan, eds. AM:STARs: E-Health, Vol. 18, No. 2. American Academy of Pediatrics, 2007. http://dx.doi.org/10.1542/9781581104097.

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This widely respected resource continues to deliver practice-focused, useful information you won't see anywhere else. Topics in E-Health include "Novel Implementations of Information Technology in Support of Adolescent Health Knowledge Acquisition," "Extending Electronic Health Records to Improve Adolescent Health," "Office-Based Computerized Risk-Assessment and Health Education Systems," "Secure E-mail Applications," "Examining and Using Emerging Technologies in Adolescent Health Research," "Application of Computer Technology to Adolescent Substance Abuse Prevention and Treatment," and "Engag
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Riley, Richard D., Danielle van der Windt, Peter Croft, and Karel G. M. Moons, eds. Prognosis Research in Health Care. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198796619.001.0001.

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What is going to happen to me, doctor?’ ‘What outcomes am I likely to experience?’ ‘Will this treatment work for me?’ Prognosis—forecasting the future—has always been a part of medical practice and caring for the sick. In modern healthcare it now has a new importance, with large financial investments being made to personalize clinical decisions and tailor treatment strategies to improve individual health outcomes based on prognostic information. Prognosis research—the study of future outcomes in people with a particular health condition—provides the critical evidence for obtaining, evaluating,
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Oza, Mayur, and Nikita Gorasia. Securing Personal Health Records in the Cloud by Using Attribute Based Encryption. a Review. GRIN Verlag GmbH, 2016.

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Scheuner, Maren T., Marcia Russell, Jane Peredo, Alison B. Hamilton, and Elizabeth M. Yano. Implementing Lynch Syndrome Screening in the Veterans Health Administration. Edited by David A. Chambers, Wynne E. Norton, and Cynthia A. Vinson. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190647421.003.0024.

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Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) syndrome. Diagnosis of LS has important clinical implications for CRC patients and their family members. LS screening in tumor tissue is possible, and screen-positive cases are referred for diagnostic testing. This case study describes how implementation science informed a population-based LS screening program in the Veterans Health Administration (VHA), the largest integrated health care delivery system in the United States. Successful implementation strategies relied on the organizational structures and processes chara
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McInerny, Thomas K., Henry M. Adam, Deborah E. Campbell, and Deepak M. Kamat, eds. American Academy of Pediatrics Textbook of Pediatric Care. American Academy of Pediatrics, 2008. http://dx.doi.org/10.1542/9781581106411.

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For more than 75 years, the American Academy of Pediatrics has been the nation’s leading and most trusted child health expert. The all-new full color AAP Textbook continues the tradition by providing a wealth of expert guidance spanning every aspect of current clinical practice and sets a new standard for one-stop pediatric references! Directed by a distinguished editorial team, and featuring contributions from experienced clinicians nationwide, the new AAP Textbook of Pediatric Care is a resource you’ll use with complete confidence. Look here for expert guidance spanning every aspect of curre
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Book chapters on the topic "Cloud-based electronic health records"

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Prados-Suárez, Belén, Carlos Molina, Miguel Prados de Reyes, and Carmen Peña-Yañez. "Electronic Health Records Interoperability by Archetype Based Contexts." In Fuzziness and Medicine: Philosophical Reflections and Application Systems in Health Care. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36527-0_23.

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Sami, Khandoker Tahmid, and Mohsen Toorani. "Blockchain-Based Access Control for Electronic Health Records." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55829-0_2.

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Gehlot, Vivek, S. P. Singh, and Akash Saxena. "A Survey on Electronic Health Records Using Cloud Computing Environment." In Advances in Information Communication Technology and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5421-6_21.

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Prathima, S., and C. Priya. "Privacy Preserving and Security Management in Cloud-Based Electronic Health Records—A Survey." In Intelligent Computing and Innovation on Data Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3284-9_3.

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Pirracchio, Romain. "Mortality Prediction in the ICU Based on MIMIC-II Results from the Super ICU Learner Algorithm (SICULA) Project." In Secondary Analysis of Electronic Health Records. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43742-2_20.

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Ashok, Nomula, Kumbha Prasadarao, and T. Judgi. "Evaluation of Security of Cloud Deployment Models in Electronic Health Records." In Expert Clouds and Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1745-7_10.

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Jyothi, E. V. N., and B. Rajani. "Effective Handling Personal Electronic Health Records Using Metadata Over Cloud Computing." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1580-0_40.

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Meng, Xi, and Ji-Jiang Yang. "Visual Analysis for Type 2 Diabetes Mellitus – Based on Electronic Medical Records." In Smart Health. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08416-9_17.

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Mitreska, Izabela, Aneta Velkoska, Dijana Capeska Bogatinoska, and Atanas Hristov. "COVID-19 Pandemic Management: A Cloud-Based Electronic Health Record System." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83207-9_1.

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Bosco, Avner Dal, Renata Vieira, Bruna Zanotto, and Ana Paula Beck da Silva Etges. "Ontology Based Classification of Electronic Health Records to Support Value-Based Health Care." In Intelligent Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91702-9_24.

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Conference papers on the topic "Cloud-based electronic health records"

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Noyon, Md Shahed Islam, Naghmeh Moradpoor, Leandros Maglaras, and Jawad Ahmad. "Enhancing Cloud Computing Security Through Blockchain-Based Communication for Electronic Health Records." In 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT). IEEE, 2024. http://dx.doi.org/10.1109/dcoss-iot61029.2024.00082.

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Agnal, Sharmila, Vimal Raj C K, Dinesh Kumar S, and Ashwin Ulagappan G. "Blockchain Based Electronic Medical Health Records Framework." In 2025 International Conference on Computing and Communication Technologies (ICCCT). IEEE, 2025. https://doi.org/10.1109/iccct63501.2025.11019651.

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E, Indra, Geetha C, Palanivel N, Nagarajan Gurusamy, Madhan K, and Magesh Kumar J. "Cloud Based Secure Interoperability of Electronic Health Records Sharing by Using Clinical Document Architecture." In 2024 International Conference on System, Computation, Automation and Networking (ICSCAN). IEEE, 2024. https://doi.org/10.1109/icscan62807.2024.10894197.

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Adhav, Savita, Atharv Kalambkar, Shubhada Kharwante, Sanika Sutar, and Awej Shaikh. "A Review on Integrating Cloud Blockchain Technology to Secure Electronic Health Records." In 2024 4th International Conference on Soft Computing for Security Applications (ICSCSA). IEEE, 2024. https://doi.org/10.1109/icscsa64454.2024.00090.

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Shen, Dayong, Chenfeng Hu, Xiang Jiang, et al. "A Hypergraph-based temporal model for Electronic Health Records." In 2024 10th International Conference on Big Data and Information Analytics (BigDIA). IEEE, 2024. https://doi.org/10.1109/bigdia63733.2024.10808271.

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Ranganathan, Chitra Sabapathy, Arshadh Ariff Mohamed Abuthahir Riazulhameed, Santosh Kumar Sahoo, V. Sumathi, G. Sudhakar, and Anantha Raman Rathinam. "Advancing Pediatric Healthcare Using Cloud-Powered Electronic Health Records with Random Forest Analysis." In 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2024. http://dx.doi.org/10.1109/icesc60852.2024.10689824.

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Kanna, R. Kishore, R. Anitha, K. Sundaramoorthy, Ayodeji Olalekan Salau, Archibald Danquah-Amoah, and Sudharani B. Banappagoudar. "Smart Cloud Computing Approach for Electronic based Health Record System." In 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). IEEE, 2024. https://doi.org/10.1109/nigercon62786.2024.10927286.

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Joshi, Rahul, Suman Kumari, and Krishna Pandey. "Exploring the Cutting Edge Technology in Healthcare: A Comprehensive Review of Cloud Based Electronic Health Records." In 2024 International Conference on Computing, Sciences and Communications (ICCSC). IEEE, 2024. https://doi.org/10.1109/iccsc62048.2024.10830357.

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Bertgren, Amanda, Fredrik Öhberg, Paolo Soda, Ulf Näslund, Patrik Wennberg, and Christer Grönlund. "Generative Adversarial Networks for Synthetic Longitudinal Electronic Health Records Enabling Cardiovascular Digital Twins." In 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2025. https://doi.org/10.1109/cbms65348.2025.00015.

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Kushwaha, Yogesh, Niranjan Lal, and Manisha Manjul. "Securing Electronic Health Records: A blockchain-Enhanced Attribute-Based Encryption Approach." In 2024 International Conference on Communication, Control, and Intelligent Systems (CCIS). IEEE, 2024. https://doi.org/10.1109/ccis63231.2024.10932030.

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Reports on the topic "Cloud-based electronic health records"

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Lowry, Svetlana Z., Mala Ramaiah, Sheryl Taylor, et al. Technical Evaluation, Testing, and Validation of the Usability of Electronic Health Records: Empirically Based Use Cases for Validating Safety-Enhanced Usability and Guidelines for Standardization. National Institute of Standards and Technology, 2015. http://dx.doi.org/10.6028/nist.ir.7084-1.

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Lowry, Svetlana Z., Mala Ramaiah, Sheryl Taylor, et al. Technical Evaluation, Testing, and Validation of the Usability of Electronic Health Records: Empirically Based Use Cases for Validating Safety-Enhanced Usability and Guidelines for Standardization. National Institute of Standards and Technology, 2015. http://dx.doi.org/10.6028/nist.ir.7804-1.

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Borgwardt, Stefan, Walter Forkel, and Alisa Kovtunova. Finding New Diamonds: Temporal Minimal-World Query Answering over Sparse ABoxes. Technische Universität Dresden, 2019. http://dx.doi.org/10.25368/2023.223.

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Lightweight temporal ontology languages have become a very active field of research in recent years. Many real-world applications, like processing electronic health records (EHRs), inherently contain a temporal dimension, and require efficient reasoning algorithms. Moreover, since medical data is not recorded on a regular basis, reasoners must deal with sparse data with potentially large temporal gaps. In this paper, we introduce a temporal extension of the tractable language ELH⊥, which features a new class of convex diamond operators that can be used to bridge temporal gaps. We develop a com
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Gillen, Emily, Olivia Berzin, Adam Vincent, and Doug Johnston. Certified Electronic Health Record Technology Under the Quality Payment Program. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0014.1801.

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The 2016 Quality Payment Program (QPP) is a Medicare reimbursement reform designed to incentivize value-based care over volume-based care. A core tenet of the QPP is integrated utilization of certified electronic health record technology (CEHRT). Adopting and implementing CEHRT is a resource-intensive process, requiring both financial capital and human capital (in the form of knowledge and time). Adoption can be especially challenging for small or rural practices that may not have access to such capital. In this issue brief, we discuss the role of CEHRT in the QPP and offer policy recommendati
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Barclay, Colleen, Meera Viswanathan, Shana Ratner, Julia Tompkins, and Daniel E. Jonas. Implementing Evidence-Based Screening and Counseling for Unhealthy Alcohol Use With Epic-Based Electronic Health Record Tools. A Guide for Clinics and Health Systems, Developed as Part of a Pilot Dissemination Project. Agency for Healthcare Research and Quality (AHRQ), 2018. http://dx.doi.org/10.23970/ahrqepcmethengagealcoholguide.

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Barclay, Colleen, Meera Viswanathan, and Daniel E. Jonas. Development of a Primary Care Guide for Implementing Evidence-Based Screening and Counseling for Unhealthy Alcohol Use With Epic-Based Electronic Health Record Tools: A Pilot Dissemination Project. Agency for Healthcare Research and Quality (AHRQ), 2018. http://dx.doi.org/10.23970/ahrqepcmethengagealcohol.

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Waldfogel, Julie M., Michael Rosen, Ritu Sharma, Allen Zhang, Eric B. Bass, and Sydney M. Dy. Making Healthcare Safer IV: Opioid Stewardship. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepc_mhs4opioid.

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Objectives. Opioid stewardship interventions promote the appropriate use of prescribed and ordered opioids to reduce the risk of opioid adverse events. Our main objectives were to determine the effectiveness of these interventions in healthcare settings on opioid prescribing and clinical outcomes (e.g., number of opioid prescriptions, opioid dosage, overdose, emergency department visits, and hospitalizations) including unintended consequences (e.g., changes in patient-reported pain intensity), and ways these interventions can be effectively implemented. Methods. We followed rapid review proces
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Holmer, Haley K., Suchitra Iyer, Celia Fiordalisi, et al. Supplementing Systematic Review Findings With Healthcare System Data: Pilot Projects From the Agency for Healthcare Research and Quality Evidence-based Practice Center Program. Agency for Healthcare Research and Quality (AHRQ), 2025. https://doi.org/10.23970/ahrqepcwhitepapersupplementing.

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Objectives. The Agency for Healthcare Research and Quality (AHRQ), through the Evidence-based Practice Center (EPC) Program, aims to provide health system decision makers with the highest-quality evidence to inform clinical decisions. However, limitations in the literature may lead to inconclusive findings in EPC systematic reviews (SRs). The EPC Program conducted pilot projects to understand the feasibility, benefits, and challenges of utilizing health system data to augment SR findings to support confidence in healthcare decision making based on real-world experiences. Study Design and Setti
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Rankin, Nicole, Deborah McGregor, Candice Donnelly, et al. Lung cancer screening using low-dose computed tomography for high risk populations: Investigating effectiveness and screening program implementation considerations: An Evidence Check rapid review brokered by the Sax Institute (www.saxinstitute.org.au) for the Cancer Institute NSW. The Sax Institute, 2019. http://dx.doi.org/10.57022/clzt5093.

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Background Lung cancer is the number one cause of cancer death worldwide.(1) It is the fifth most commonly diagnosed cancer in Australia (12,741 cases diagnosed in 2018) and the leading cause of cancer death.(2) The number of years of potential life lost to lung cancer in Australia is estimated to be 58,450, similar to that of colorectal and breast cancer combined.(3) While tobacco control strategies are most effective for disease prevention in the general population, early detection via low dose computed tomography (LDCT) screening in high-risk populations is a viable option for detecting asy
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