Academic literature on the topic 'Electronic patient health records'

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Journal articles on the topic "Electronic patient health records"

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Q.H., Hasan, Ali A. Yassin, and Oğuz ATA. "Electronic Health Records System Using Blockchain Technology." Webology 18, SI05 (2021): 580–93. http://dx.doi.org/10.14704/web/v18si05/web18248.

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Blockchain technology is one of the most important and disruptive technologies in the world. Nowadays the healthcare center needs to share patient databases over all departments of the healthcare centers. Although, electronic healthcare records overcome several problems compared with manual records, but still suffer from many issues such as security, the privacy of patient data overall as we should transfer over a database from a central database to a decentralized database. In this paper, we proposed a good security system to manage the data of patients based on blockchain technology and a de
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Seymour, Tom, Dean Frantsvog, and Tod Graeber. "Electronic Health Records (EHR)." American Journal of Health Sciences (AJHS) 3, no. 3 (2012): 201–10. http://dx.doi.org/10.19030/ajhs.v3i3.7139.

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Electronic Health Records are electronic versions of patients’ healthcare records. An electronic health record gathers, creates, and stores the health record electronically. The electronic health record has been slow to be adopted by healthcare providers. The federal government has recently passed legislation requiring the use of electronic records or face monetary penalties. The electronic health record will improve clinical documentation, quality, healthcare utilization tracking, billing and coding, and make health records portable. The core components of an electronic health record include
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Bourgeois, Stacy, and Ulku Yaylacicegi. "Electronic Health Records." International Journal of Healthcare Information Systems and Informatics 5, no. 3 (2010): 1–13. http://dx.doi.org/10.4018/jhisi.2010070101.

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Electronic health records (EHRs) have been proposed as a sustainable solution for improving the quality of medical care. This study investigates how EHR use, as implemented and utilized, impacts patient safety and quality performance. Data in this paper include nonfederal acute care hospitals in the state of Texas, and the data sources include the American Hospital Association, the Dallas Fort Worth Hospital Council, and the American Hospital Directory. The authors use partial least squares modeling to assess the relationship between hospital EHR use, patient safety, and quality of care. Patie
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Gans, D., J. White, R. Nath, J. Pohl, and C. Tanner. "Electronic Health Records and Patient Safety." Applied Clinical Informatics 06, no. 01 (2015): 136–47. http://dx.doi.org/10.4338/aci-2014-11-ra-0099.

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Summary Background: The role of electronic health records (EHR) in enhancing patient safety, while substantiated in many studies, is still debated. Objective: This paper examines early EHR adopters in primary care to understand the extent to which EHR implementation is associated with the workflows, policies and practices that promote patient safety, as compared to practices with paper records. Early adoption is defined as those who were using EHR prior to implementation of the Meaningful Use program. Methods: We utilized the Physician Practice Patient Safety Assessment (PPPSA) to compare prim
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Xu, Rebecca. "Electronic Health Records: Patient Care Quality." Revue interdisciplinaire des sciences de la santé - Interdisciplinary Journal of Health Sciences 5, no. 1 (2016): 27–31. http://dx.doi.org/10.18192/riss-ijhs.v5i1.1442.

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The advancement of technology has led to its integration in widespread fields, heavily impacting areas such as communications. While there is concern that the introduction of information technology into healthcare renders the medical practice impersonal, its implementation has a positive effect on patient care quality. The exchange of health information via an electronic medium, such as the electronic health record (EHR), is known as health information technology (HIT) and has been the focus of many studies. Many supporters of HIT promote the benefits associated with the general rise in techno
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Hydari, Muhammad Zia, Rahul Telang, and William M. Marella. "Electronic health records and patient safety." Communications of the ACM 58, no. 11 (2015): 30–32. http://dx.doi.org/10.1145/2822515.

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SHENOY, AKHIL, and JACOB M. APPEL. "Safeguarding Confidentiality in Electronic Health Records." Cambridge Quarterly of Healthcare Ethics 26, no. 2 (2017): 337–41. http://dx.doi.org/10.1017/s0963180116000931.

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Abstract:Electronic health records (EHRs) offer significant advantages over paper charts, such as ease of portability, facilitated communication, and a decreased risk of medical errors; however, important ethical concerns related to patient confidentiality remain. Although legal protections have been implemented, in practice, EHRs may be still prone to breaches that threaten patient privacy. Potential safeguards are essential, and have been implemented especially in sensitive areas such as mental illness, substance abuse, and sexual health. Features of one institutional model are described tha
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Fraser, R., J. McClay, N. Woelfl, et al. "Adoption of Electronic Health Records." Applied Clinical Informatics 02, no. 02 (2011): 165–76. http://dx.doi.org/10.4338/aci-2011-01-ra-0003.

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SummaryObjective: Less than 20% of hospitals in the US have an electronic health record (EHR). In this qualitative study, we examine the perspectives of both academic and private physicians and administrators as stakeholders, and their alignment, to explore their perspectives on the use of technology in the clinical environment.Methods: Focus groups were conducted with 74 participants who were asked a series of open-ended questions. Grounded theory was used to analyze the transcribed data and build convergent themes. The relevance and importance of themes was constructed by examining frequency
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Anshari, Muhammad. "Redefining Electronic Health Records (EHR) and Electronic Medical Records (EMR) to Promote Patient Empowerment." IJID (International Journal on Informatics for Development) 8, no. 1 (2019): 35. http://dx.doi.org/10.14421/ijid.2019.08106.

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A successful healthcare organization exists when it provides good quality service. Powered by technological changes like big data, cloud computing, and Internet of Things, healthcare information is accessed and owned and the patient has become evolving within the healthcare environment. This affects the relationship between healthcare provider and customers, and between patients. Electronic Health Records (EHRs) and Electronic Medical Records (EMRs) are considered as a building block for electronic health development. Many literatures use both terms EHR and EMR interchangeably with no clear di
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Murphy, Cynthia A., Kelly Merriman, Cindy Zabka, Marcella Penick, and Precy Villamayor. "Patient-Entered Electronic Healthcare Records With Electronic Medical Record Integration." CIN: Computers, Informatics, Nursing 26, no. 5 (2008): 302. http://dx.doi.org/10.1097/01.ncn.0000304828.47262.6c.

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Dissertations / Theses on the topic "Electronic patient health records"

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Gregory, Judith. "Sorcerer's apprentice : creating the electronic health record, re-inventing medical records and patient care /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2000. http://wwwlib.umi.com/cr/ucsd/fullcit?p9992380.

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Lütz, Elin. "Unsupervised machine learning to detect patient subgroups in electronic health records." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-251669.

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The use of Electronic Health Records (EHR) for reporting patient data has been widely adopted by healthcare providers. This data can encompass many forms of medical information such as disease symptoms, results from laboratory tests, ICD-10 classes and other information from patients. Structured EHR data is often high-dimensional and contain many missing values, which impose a complication to many computing problems. Detecting meaningful structures in EHR data could provide meaningful insights in diagnose detection and in development of medical decision support systems. In this work, a subset
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Stevenson, Jean E. "Documentation of vital signs in electronic health records : a patient safety issue." Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/12704/.

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Background and aim: Hospitals in the developed world are increasingly adopting digital systems such as electronic health records (EHRs) for all kinds of documentation. This move means that traditional paper case notes and nursing records are often documented in EHRs. Documentation of vital signs is important for monitoring a patient's physiological condition and how vital signs are presented in a clinical record can have a profound impact on the ability of clinicians to recognise changes, such as deterioration in a patient's condition. Vital signs have received minimal attention with regard to
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Halamka, John D. "Sharing electronic patient records among providers via the World Wide Web." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50359.

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Gibson-White, Angela. "Using information from electronic patient records for clinical, epidemiological and health services research." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/41839.

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Background: Improving current and future healthcare is heavily reliant on continuous research and the secondary use of data from patients' medical records, particularly from electronic records. Considerable amounts of data are collected during the care and treatment of a patient, and this data can offer many opportunities, not only for supporting and improving individual patient care or making important contributions to research, but also for investigating causes of diseases, establishing the prevalence of risk factors, and identifying populations at risk of adverse outcomes. However, the mana
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Lee, Koon-hung. "Communicating patients' medical information by online electronic health record system physicians and dentists' perception /." Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B31971933.

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Abd-Alrazaq, Alaa Ali Eid. "Factors affecting patients' use of electronic personal health records." Thesis, University of Leeds, 2018. http://etheses.whiterose.ac.uk/21951/.

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England has recently introduced a nationwide electronic personal health record (ePHR) called Patient Online. Although ePHRs are widely available, adoption rates of ePHRs are usually low. Understanding the factors affecting patients’ use of ePHRs is considered important to increase adoption rates and improve the implementation success of ePHRs. Therefore, the current study aims to examine the factors that affect patients’ adoption of ePHRs in England. A systematic review was conducted to identify factors that affect patients’ adoption of ePHRs. Then, the most common theories and models relevant
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Shikhukhulo, Georgina. "Electronic Health Records : Can the scope of deploying Electronic Patient Records in Pre-Hospital Care be augmented through Participatory Design Approach at an Ambulance Service in England." Thesis, Blekinge Tekniska Högskola, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15320.

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Introduction and background: The use of Electronic Health Records (EHRs) sometimes referred to as Electronic Patient Care Records (ePCRs) amongst health and social care providers is increasing.  Many countries are anticipating the benefits of maintaining patients’ records in one place to facilitate real time access by clinicians and other health and social care providers at the point of need; thereby saving resources, seeking to work more efficiently and indeed taking advantage of the rapid advancement in technology to enhance communication.   Objectives:  Investigate challenges facing implem
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Terner, Annika. "Predefined Headings in a Multi-professional Electronic Health Record : Professionals’ Application, Aspects of Health and Health Care and Correspondence to Legal Requirements." Licentiate thesis, Uppsala universitet, Forskning om funktionshinder och habilitering, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-246853.

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The overall aim of this thesis was to investigate predefined headings in a Swedish county council multi-professional EHR system in terms of their shared application, what aspects of health and health care they reflected, and their correspondence to legal requirements. An analysis of 3 596 predefined headings, applied to 20 398 104 occasions by eight professional groups, was conducted. Less than 2% of the predefined headings were applied by all eight professional groups, whereas 60% were not shared at all between the professional groups. A classification of the predefined headings revealed that
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Zetler, Julie Anne. "The legal and ethical implications of electronic patient health records and e-health on Australian privacy and confidentiality law." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/13865.

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This thesis addresses the legal and ethical issues posed by introduction of electronic patient health records. Against the background of an analysis of broader conceptual and theoretical understandings of development of electronic patient health records (EPR) and e-health regimes in Australia and comparable countries over the last few decades, the thesis critically examines the extent to which its implementation is consistent with established legal and ethical principles underpinning traditional health assumptions and practices. To this end the thesis explores the evolution and progress of m
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Books on the topic "Electronic patient health records"

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Sharyl, Beal, ed. Electronic health records and nursing. Prentice Hall, 2011.

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SAFER electronic health records: Safety assurance factors for EHR resilience. Apple Academic Press, 2015.

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Computerizing healthcare information: Developing electronic patient information systems. Probus Pub. Co., 1994.

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ePro: Electronic solutions for patient-reported data. Gower, 2010.

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Process improvement with electronic health records: A stepwise approach to workflow and process management. CRC Press, 2012.

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Impact of healthcare informatics on quality of patient care and health services. CRC Press, 2013.

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Association, Medical Group Management, ed. EHR optimization and operations guide for medical practices. Medical Group Management Association, 2012.

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Hamilton, Byron. Electronic health records. 2nd ed. McGraw-Hill, 2011.

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Hamilton, Byron. Electronic health records. 2nd ed. McGraw-Hill, 2011.

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Electronic health records. 2nd ed. McGraw-Hill, 2011.

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Book chapters on the topic "Electronic patient health records"

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Goundrey-Smith, Stephen. "Electronic Patient Records." In Health Informatics. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2780-2_2.

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Victoroff, Michael S. "Electronic Health Records and Patient Safety." In Patient Safety in Surgery. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-4369-7_19.

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Moskowitz, Ari, and Kenneth Chen. "Defining the Patient Cohort." In Secondary Analysis of Electronic Health Records. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43742-2_10.

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Ong, Ken, and Regina Cregin. "Electronic Health Record and Patient Safety." In Patient Safety. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7419-7_5.

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Sarmiento, Raymond Francis, and Franck Dernoncourt. "Improving Patient Cohort Identification Using Natural Language Processing." In Secondary Analysis of Electronic Health Records. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43742-2_28.

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McSharry, Patrick, Andre Prawira Putra, Rachel Shin, et al. "Sana.PCHR: Patient-Controlled Electronic Health Records for Refugees." In Leveraging Data Science for Global Health. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47994-7_27.

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Vizer, Lisa M., and Amanda K. Hall. "The Patient-Centered Electronic Health Record and Patient Portals." In Health Informatics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-19590-2_14.

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Arun Kumar, B. R. "Impact of Cyberattacks on Electronic Patient Health/Medical Records." In Computer Networks and Inventive Communication Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9647-6_69.

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Bercaw, Ronald G., Kurt A. Knoth, and Susan T. Snedaker. "Always Start with the Patient." In The Lean Electronic Health Record. Productivity Press, 2017. http://dx.doi.org/10.1201/b22061-1.

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Shi, Yunfeng, Veronica Fuentes-Caceres, Megan McHugh, et al. "Electronic Health Records and Patient Activation – Their Interactive Role in Medication Adherence." In Smart Health. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29175-8_21.

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Conference papers on the topic "Electronic patient health records"

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"WHO SHOULD ACCESS ELECTRONIC PATIENT RECORDS." In International Conference on Health Informatics. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001039401820185.

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Hupperich, Thomas, Hans Löhr, Ahmad-Reza Sadeghi, and Marcel Winandy. "Flexible patient-controlled security for electronic health records." In the 2nd ACM SIGHIT symposium. ACM Press, 2012. http://dx.doi.org/10.1145/2110363.2110448.

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Huvila, Isto, Kristina Eriksson-Backa, Noora Hirvonen, and Heidi Enwald. "Classifying Health Information Interactions and their Motivations: A Study with Older Adults and Electronic Patient Portals." In The 18th international symposium on health information management research. Linnaeus University Press, 2022. http://dx.doi.org/10.15626/ishimr.2020.10.

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Current research on electronic patient portals and electronic health records shows a broad range of benefits to patients, healthcare professionals and healthcare when patients are allowed to take part of their medical record information. There are, however, shortcomings in the current knowledge about patients’ and other stakeholders’ information interactions with electronic health record systems and what motivates them to use these. We present a tentative classification of information interactions with an electronic patient portal, the stakeholders involved in the interactions and reasons that
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Jin, Jing, Gail-Joon Ahn, Hongxin Hu, Michael J. Covington, and Xinwen Zhang. "Patient-centric authorization framework for sharing electronic health records." In the 14th ACM symposium. ACM Press, 2009. http://dx.doi.org/10.1145/1542207.1542228.

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Wang, Zichang, Haoran Li, Luchen Liu, Haoxian Wu, and Ming Zhang. "Predictive Multi-level Patient Representations from Electronic Health Records." In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019. http://dx.doi.org/10.1109/bibm47256.2019.8983105.

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Kadhim, Dua Abdulrazak, Sarfraz Iqbal, and Päivi Jokela. "Electronic Health Records: Non-Swedish Speaking Refugee’s Perspective." In The 18th international symposium on health information management research. Linnaeus University Press, 2022. http://dx.doi.org/10.15626/ishimr.2020.16.

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Electronic health record (EHR) is a ubiquitous e-health tool that includes both Electronic Medical Record (EMR) and personal health record (PHR). EHR is aimed to be a versatile digital tool that can benefit both caregivers and patients through Quick and easy access to medical information at any time from hospitals or primary care. However, the fact that the bulk of core records, including self-service data for patients, is only available in Swedish may limit the scope, availability and feasibility of self service through EHRs access for refugee patients who are non-Swedish speakers. Research r
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Rogers, J., C. Puleston, and A. Rector. "The CLEF Chronicle: Patient Histories Derived from Electronic Health Records." In 22nd International Conference on Data Engineering Workshops (ICDEW'06). IEEE, 2006. http://dx.doi.org/10.1109/icdew.2006.144.

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D., Akarca, Xiu P.Y., Ebbitt D., Mustafa B., Al-Ramadhani H., and Albeyatti A. "Blockchain Secured Electronic Health Records: Patient Rights, Privacy and Cybersecurity." In 2019 10th International Conference on Dependable Systems, Services and Technologies (DESSERT). IEEE, 2019. http://dx.doi.org/10.1109/dessert.2019.8770037.

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Huang, Ming, Maryam Zolnoori, Nilay D. Shah, and Lixia Yao. "Temporal sequence alignment in electronic health records for computable patient representation." In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2018. http://dx.doi.org/10.1109/bibm.2018.8621428.

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Tominanto, Eko Purwanto, and Novita Yuliani. "Design of Inpatient Electronic Medical Records to Improve Patient Health Services." In International Conferences on Information System and Technology. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0009908502410245.

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Reports on the topic "Electronic patient health records"

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Lowry, Svetlana Z., Mala Ramaiah, A. Ant Ozok, et al. Toward a shared approach for ensuring patient safety with enhanced workflow design for electronic health records. National Institute of Standards and Technology, 2013. http://dx.doi.org/10.6028/nist.ir.7952.

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O'Brien, Gavin. Securing Electronic Health Records on Mobile Devices. National Institute of Standards and Technology, 2017. http://dx.doi.org/10.6028/nist.sp.1800-1.

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Ramaiah, Mala, Eswaran Subrahmanian, Ram D. Sriram, and Bettijoyce B. Lide. Workflow and electronic health records in small medical practices. National Institute of Standards and Technology, 2010. http://dx.doi.org/10.6028/nist.ir.7732.

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Brown, Yolanda, Twonia Goyer, and Maragaret Harvey. Heart Failure 30-Day Readmission Frequency, Rates, and HF Classification. University of Tennessee Health Science Center, 2020. http://dx.doi.org/10.21007/con.dnp.2020.0002.

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30 Day Hospital Readmission Rates, Frequencies, and Heart Failure Classification for Patients with Heart Failure Background Congestive heart failure (CHF) is the leading cause of mortality, morbidity, and disability worldwide among patients. Both the incidence and the prevalence of heart failure are age dependent and are relatively common in individuals 40 years of age and older. CHF is one of the leading causes of inpatient hospitalization readmission in the United States, with readmission rates remaining above the 20% goal within 30 days. The Center for Medicare and Medicaid Services imposes
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Stier, Jeffrey. Health Technology Integration for Clinical, Patient Records and Financial Management Related to the Military. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada566643.

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Lowry, Svetlana Z., Matthew T. Quinn, Mala Ramaiah, et al. Technical evaluation, testing, and validatiaon of the usability of electronic health records. National Institute of Standards and Technology, 2012. http://dx.doi.org/10.6028/nist.ir.7804.

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Schnabel, Filipina, and Danielle Aldridge. Effectiveness of EHR-Depression Screening Among Adult Diabetics in an Urban Primary Care Clinic. University of Tennessee Health Science Center, 2021. http://dx.doi.org/10.21007/con.dnp.2021.0003.

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Background Diabetes mellitus (DM) and depression are important comorbid conditions that can lead to more serious health outcomes. The American Diabetes Association (ADA) supports routine screening for depression as part of standard diabetes management. The PHQ2 and PHQ9 questionnaires are good diagnostic screening tools used for major depressive disorders in Type 2 diabetes mellitus (DM2). This quality improvement study aims to compare the rate of depression screening, treatment, and referral to behavioral health in adult patients with DM2 pre and post-integration of depression screening tools
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Neugebauer, Romain, Julie Schmittdiel, Oleg Sofrygin, Alyce Adams, Richard Grant, and Mark van der Laan. Methods to Assess the Effect of Dynamic Treatment Regimens Using Electronic Health Records. Patient-Centered Outcomes Research Institute (PCORI), 2020. http://dx.doi.org/10.25302/06.2020.me.140312506.

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Lowry, Lana Z., Mala Ramaiah, Sandra S. Prettyman, et al. Examining the Copy and Paste Function in the Use of Electronic Health Records. National Institute of Standards and Technology, 2017. http://dx.doi.org/10.6028/nist.ir.8166.

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Schumacher, Robert M., and Svetlana Z. Lowry. NIST guide to the processes approach for improving the usability of electronic health records. National Institute of Standards and Technology, 2010. http://dx.doi.org/10.6028/nist.ir.7741.

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