Medical Records and Confidentiality: Evolving Liability Issues Inherent in the Electronic Health Record, HIPAA, and Cybersecurity

2021 ◽  
pp. 315-342
Author(s):  
James E. Szalados
Keyword(s):  
Electronic Health Record ◽  
Medical Records ◽  
Health Record ◽  
Electronic Health

Secure Storage and Access Scheme for E-Medical Records Using Block Chain Environment

2021 ◽  
Vol 23 (05) ◽  
pp. 776-786
Author(s):  
Sonya A ◽  
◽  
Jeevitha S ◽  
Vaishnavi M ◽  
◽  
...  
Keyword(s):  
Information Security ◽  
Electronic Health Record ◽  
Medical Records ◽  
Medical Services ◽  
Health Record ◽  
Digital Information ◽  
Secure Storage ◽  
Access Scheme ◽  
Block Chain ◽  
Electronic Health

Blockchain has been a fascinating exploration region for quite a while and the advantages it gives have been utilized by various different ventures. Additionally, the medical services area stands to profit tremendously from blockchain innovation because of safety, security, and decentralization. In any case, the Electronic Health Record (EHR) frameworks deal with issues in regards to information security, uprightness, and the executives. In the proposed work, to communicate approximately how the blockchain innovation can be applied to alternate the EHR frameworks and solution of those issues. To propose a system that can be applied for the execution of blockchain innovation in scientific offerings location for EHR. The factor of our proposed system is first and to execute blockchain innovation for EHR and moreover to provide the stable ability of digital information with the aid of using characterizing granular get right of entry to regulations for the customers. Besides, this system examines the flexibility problem seemed with the aid of using the blockchain innovation average through the usage of off-chain stockpiling of the information. This structure offers the benefits of getting an adaptable, stable, and vital blockchain-primarily based totally association with usage of PoW (Proof of Work) Algorithm.

EEMI - An Electronic Health Record for Pediatricians

2020 ◽  
pp. 614-628
Author(s):  
Juan C. Lavariega ◽  
Roberto Garza ◽  
Lorena G Gómez ◽  
Victor J. Lara-Diaz ◽  
Manuel J. Silva-Cavazos
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Data Sharing ◽  
Medical Records ◽  
Data Exchange ◽  
Data Representation ◽  
Health Record ◽  
Health Records ◽  
Health Area ◽  
Electronic Health

The use of paper health records and handwritten prescriptions are prone to preset errors of misunderstanding instructions or interpretations that derive in affecting patients' health. Electronic Health Records (EHR) systems are useful tools that among other functions can assists physicians' tasks such as finding recommended medicines, their contraindications, and dosage for a given diagnosis, filling prescriptions and support data sharing with other systems. This paper presents EEMI, a Children EHR focused on assisting pediatricians in their daily office practice. EEMI functionality keeps the relationships among diagnosis, treatment, and medications. EEMI also calculates dosages and automatically creates prescriptions which can be personalized by the physician. The system also validates patient allergies. This paper also presents the current use of EHRs in Mexico, the Mexican Norm (NOM-024-SSA3-2010), standards for the development of electronic medical records and its relationships with other standards for data exchange and data representation in the health area.

Naming Notes: Transitions from Free Text to Structured Entry

1995 ◽  
Vol 34 (01/02) ◽  
pp. 57-67 ◽  
Author(s):  
J. Gregory ◽  
J. E. Mattison ◽  
C. Linde
Keyword(s):  
Health Care ◽  
Electronic Health Record ◽  
Health Care Providers ◽  
Medical Records ◽  
Care Delivery ◽  
Free Text ◽  
Development Effort ◽  
Health Record ◽  
Care Providers ◽  
Electronic Health

Abstract:To practice medicine in the near future, health care providers in the USA need an information infrastructure they do not yet have. We offer a contribution from social science research to discussions of current medical records practices and how health care activity systems may be transformed by the advent of electronic health records. The goal of the paper is to set forth a framework that connects over-arching questions concerning medical informatics systems development with the practical, cultural and conceptual issues involved in transitions from handwritten and other free text documentation to structured entry of medical records to build patient profiles. The research is broadly framed by an interest in how reciprocal modifications of the design and use of an electronic health record are negotiated in an iterative prototyping project. It is conducted as part of a complex multi-disciplinary research and development effort to create an electronic health record prototype for use in the integrated health care delivery environment of the Southern California Kaiser Permanente Medical Care Program.

scholarly journals A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments

2018 ◽  
Vol 25 (11) ◽  
pp. 1540-1546 ◽  
Author(s):  
Jennifer A Pacheco ◽  
Luke V Rasmussen ◽  
Richard C Kiefer ◽  
Thomas R Campion ◽  
Peter Speltz ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Chart Review ◽  
Free Text ◽  
Health Record ◽  
Local Data ◽  
Electronic Health ◽  
Potential Use

Abstract Electronic health record (EHR) algorithms for defining patient cohorts are commonly shared as free-text descriptions that require human intervention both to interpret and implement. We developed the Phenotype Execution and Modeling Architecture (PhEMA, http://projectphema.org) to author and execute standardized computable phenotype algorithms. With PhEMA, we converted an algorithm for benign prostatic hyperplasia, developed for the electronic Medical Records and Genomics network (eMERGE), into a standards-based computable format. Eight sites (7 within eMERGE) received the computable algorithm, and 6 successfully executed it against local data warehouses and/or i2b2 instances. Blinded random chart review of cases selected by the computable algorithm shows PPV ≥90%, and 3 out of 5 sites had >90% overlap of selected cases when comparing the computable algorithm to their original eMERGE implementation. This case study demonstrates potential use of PhEMA computable representations to automate phenotyping across different EHR systems, but also highlights some ongoing challenges.

scholarly journals Pattern of Use of Electronic Health Record (EHR) among the Chronically Ill: A Health Information National Trend Survey (HINTS) Analysis

2021 ◽  
Vol 18 (14) ◽  
pp. 7254
Author(s):  
Rose Calixte ◽  
Sumaiya Islam ◽  
Zainab Toteh Osakwe ◽  
Argelis Rivera ◽  
Marlene Camacho-Rivera
Keyword(s):  
Health Care ◽  
Electronic Health Record ◽  
Health Care Providers ◽  
Medical Records ◽  
Chronically Ill ◽  
Health Record ◽  
Provider Communication ◽  
Care Providers ◽  
Patient Portals ◽  
Electronic Health

Effective patient–provider communication is a cornerstone of patient-centered care. Patient portals provide an effective method for secure communication between patients or their proxies and their health care providers. With greater acceptability of patient portals in private practices, patients have a unique opportunity to manage their health care needs. However, studies have shown that less than 50% of patients reported accessing the electronic health record (EHR) in a 12-month period. We used HINTS 5 cycle 1 and cycle 2 to assess disparities among US residents 18 and older with any chronic condition regarding the use of EHR for secure direct messaging with providers, to request refills, to make clinical decisions, or to share medical records with another provider. The results indicate that respondents with multimorbidity are more likely to share their medical records with other providers. However, respondents who are 75 and older are less likely to share their medical records with another provider. Additionally, respondents who are 65 and older are less likely to use the EHR for secure direct messaging with their provider. Additional health care strategies and provider communication should be developed to encourage older patients with chronic conditions to leverage the use of patient portals for effective disease management.

EEMI – An Electronic Health Record for Pediatricians

2020 ◽  
pp. 249-264
Author(s):  
Juan C. Lavariega ◽  
Roberto Garza ◽  
Lorena G Gómez ◽  
Victor J. Lara-Diaz ◽  
Manuel J. Silva-Cavazos
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Data Sharing ◽  
Medical Records ◽  
Data Exchange ◽  
Data Representation ◽  
Health Record ◽  
Health Records ◽  
Health Area ◽  
Electronic Health

The use of paper health records and handwritten prescriptions are prone to preset errors of misunderstanding instructions or interpretations that derive in affecting patients' health. Electronic Health Records (EHR) systems are useful tools that among other functions can assists physicians' tasks such as finding recommended medicines, their contraindications, and dosage for a given diagnosis, filling prescriptions and support data sharing with other systems. This paper presents EEMI, a Children EHR focused on assisting pediatricians in their daily office practice. EEMI functionality keeps the relationships among diagnosis, treatment, and medications. EEMI also calculates dosages and automatically creates prescriptions which can be personalized by the physician. The system also validates patient allergies. This paper also presents the current use of EHRs in Mexico, the Mexican Norm (NOM-024-SSA3-2010), standards for the development of electronic medical records and its relationships with other standards for data exchange and data representation in the health area.

Abstract 390: Automating a Cardiac Arrest Registry: Challenges and Opportunities

Circulation ◽  
2019 ◽  
Vol 140 (Suppl_2) ◽  
Author(s):  
Ahamed H Idris ◽  
Pamela Owens ◽  
Samuel McDonald ◽  
Raymond Fowler ◽  
Heather Herren ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Electronic Health Record ◽  
Medical Records ◽  
Streaming Data ◽  
Health Record ◽  
File Transfer ◽  
Hospital Data ◽  
Hospital Medical ◽  
Improvement Programs ◽  
Electronic Health

Introduction: A registry for out-of-hospital cardiac arrests facilitates cardiac arrest research, and emergency medical services (EMS) and community health quality improvement programs. Maintaining a cardiac arrest registry is labor intensive and costly, both of which could be reduced through automation. Objective: To determine the feasibility of automating data population of a cardiac arrest registry and to identify the components needed for and barriers to automation. Methods: This is a prospective feasibility study at the Dallas Fort-Worth (DFW) Center for Resuscitation Research. Our cardiac arrest registry was part of the multi-center Resuscitation Outcomes Consortium (ROC) Epistry from 2006 to 2016. Since 2016, we modified and maintained it separately from the ROC and over 20,000 cases have been enrolled. We identified the following critical elements necessary for automated data population of the registry: Create a registry dataset; create Business Associate Agreements with EMS agencies and hospitals; identify EMS and hospital electronic health record programs; develop a search strategy; search for appropriate cases in city servers where EMS patient care reports (PCRs) are stored and download data; move EMS data through our institutional firewall to a secure server; perform the same steps for hospital medical records; match EMS cases with hospital medical records, and automatically populate the registry with EMS and hospital data on a regular basis. Results: At the DFW site, EMS agencies use five different PCR programs and hospitals use two different electronic health record programs. A combination of 13 search terms captured 90% to 100% of appropriate cardiac arrest cases across six EMS agencies. Two different strategies can be used for streaming data across our firewall: A proprietary program entitled “Move-It” or a university generated file transfer protocol. We used a probabilistic logical approach for matching EMS cases with hospital cases. Conclusions: Automating a cardiac arrest registry is feasible. A cardiac arrest registry has many elements that must be considered to accomplish automation. The authors found that the most time consuming element is establishing Business Associate Agreements with all parties that provide data.

EEMI - An Electronic Health Record for Pediatricians

2016 ◽  
Vol 11 (3) ◽  
pp. 57-69 ◽  
Author(s):  
Juan C. Lavariega ◽  
Roberto Garza ◽  
Lorena G Gómez ◽  
Victor J. Lara-Diaz ◽  
Manuel J. Silva-Cavazos
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Data Exchange ◽  
Data Representation ◽  
Health Record ◽  
Health Records ◽  
Health Area ◽  
Electronic Health

The use of paper health records and handwritten prescriptions are prone to preset errors of misunderstanding instructions or interpretations that derive in affecting patients' health. Electronic Health Records (EHR) systems are useful tools that among other functions can assists physicians' tasks such as finding recommended medicines, their contraindications, and dosage for a given diagnosis, filling prescriptions and support data sharing with other systems. This paper presents EEMI, a Children EHR focused on assisting pediatricians in their daily office practice. EEMI functionality keeps the relationships among diagnosis, treatment, and medications. EEMI also calculates dosages and automatically creates prescriptions which can be personalized by the physician. The system also validates patient allergies. This paper also presents the current use of EHRs in Mexico, the Mexican Norm (NOM-024-SSA3-2010), standards for the development of electronic medical records and its relationships with other standards for data exchange and data representation in the health area.

scholarly journals Decentralized Electronic Health Record System

2020 ◽  
Vol 15 (1) ◽  
pp. 77-80
Author(s):  
Ajaya Mandal ◽  
Prakriti Dumaru ◽  
Sagar Bhandari ◽  
Shreeti Shrestha ◽  
Subarna Shakya
Keyword(s):  
Electronic Health Record ◽  
Data Sharing ◽  
Medical Records ◽  
Data Privacy ◽  
Electronic Health Record System ◽  
Health Record ◽  
Smart Contracts ◽  
Record System ◽  
Block Chain ◽  
Electronic Health

 With a view to overcome the shortcomings of traditional Electronic Health Record (EHR) system so as to assure the interoperability by providing open access to sensitive health data, while still preserving personal data privacy, anonymity and avoiding data misuse, Decentralized Electronic Health Record System was developed. The aforementioned issue concerning traditional EHR system can be addressed by implication of emerging technology of the era namely Block chain, together with Inter Planetary File System (IPFS) which enables data sharing in decentralized and transactional fashion, thereby maintaining delicate balance between privacy and accessibility of electronic health records. A block chain based EHR system has been built for secure, efficient and interoperable access to medical records by both patients and doctors while preserving privacy of the sensitive patient’s information. Patients can easily and comprehensively access to their medical records across providers and treatment sites using unique properties of block chain and decentralized storage. A separate portal for both the patients and doctors has been built enabling the smart contracts to handle further interaction between doctors and patients. So, in this system, it is demonstrated how principles of decentralization and block chain architectures could contribute to EHR system using Ethereum smart contracts and IPFS to orchestrate a suitable system governing the medical record access while providing patients with comprehensive record review along with consideration for audit ability and data sharing.

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