scholarly journals The Role of Electronic Medical Records as Evidence in Medical Disputes in Hospitals

SOEPRA ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 311
Author(s):  
Devina Anggraeni ◽  
Muhammad Ikhsan
Keyword(s):  
Dispute Resolution ◽  
Medical Record ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Legal Basis ◽  
Patient Identification ◽  
Medical Case ◽  
Medical Disputes ◽  
Medical Dispute

Medical Record is a file that contains records and other documents such as patient identification, examination, the treatment that has been given to the patient. Based on the Minister of Health No. 269/MENKES/PER /III / 2008 concerning the medical record that there are two types of medical records that conventional medical records and electronic medical records. With the absence of a strong legal basis related to the setting of electronic medical records, but in reality, many hospitals are using electronic medical records which raised the question, how the role of electronic medical records as evidence in the medical dispute that occurred in the hospital ?. This study uses Descriptio with the normative juridical approach. The data used is qualitative. This is done to get an overview of the roles of electronic medical records as evidence in the medical dispute in the hospital. Electronic medical records in the case of medical dispute resolution in the hospital can not be made as evidence in the medical case settlement, because the regulations related to the use of electronic medical records alone do not yet have a clear legal basis. 

A review of the impact of utilising electronic medical records for clinical research recruitment

2019 ◽  
Vol 16 (2) ◽  
pp. 194-203 ◽  
Author(s):  
Yan See Lai ◽  
Janyne Dawn Afseth
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Quantitative Data ◽  
Patient Identification ◽  
Recruitment Method ◽  
Research Staff ◽  
Eligibility Criteria ◽  
The Impact

Introduction: Recruitment is an important aspect of clinical research, as poor recruitment could undermine the scientific value of a trial or delay the development process of new treatments. The development of electronic medical records provides a new way to identify potential participants for trials by matching the eligibility criteria with patients’ data within electronic medical records. Methods: A literature search was performed to examine the effectiveness and efficiency of the electronic medical record recruitment method using MEDLINE, PubMed, PubMed Central, CINAHL Plus with Full Text, ScienceDirect and Cochrane Library databases. These searches generated 11 articles that met the eligibility criteria, and handsearching reference lists generated two additional articles bringing the total number of articles to 13. These articles were subjected to critical appraisal utilising the Effective Public Health Practice Project tool. Results: Out of the 13 included articles, 11 provided quantitative data on recruitment effectiveness while seven articles provided quantitative data on recruitment efficiency. The automation in screening and patient identification by using alerts, a notification system, to notify research staff of a potential participant, was observed to contribute to higher recruitment yield and reduced workload due to its specificity on participant screening. The use of electronic medical record alerts was found to be associated with better recruitment outcomes when they were sent to dedicated research staff rather than physicians. Using electronic medical records for recruitment was found to be effective due to its capability for patient identification outside working hours and fast processing time, which was particularly useful for clinical trials in acute conditions. Several challenges may hinder the impact of the electronic medical record recruitment method, including the lack of conformity of clinical trial eligibility criteria and electronic medical record data structure and missing data. ‘Alert fatigue’ could also impact on the effectiveness of this method in the long term. Conclusion: The results from this review supports electronic medical record being an effective and efficient method for clinical trial recruitment. Recommendations were made in order to maximise the potential of the electronic medical record recruitment method and also for future research in order to improve the quality of evidence to support this strategy for recruitment.

Mammography Use among Black Women: The Role of Electronic Medical Records

2009 ◽  
Vol 18 (8) ◽  
pp. 1153-1162 ◽  
Author(s):  
Cheryl R. Clark ◽  
Nashira Baril ◽  
Marycarmen Kunicki ◽  
Natacha Johnson ◽  
Jane Soukup ◽  
...  
Keyword(s):  
Black Women ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Mammography Use

The role of electronic medical records in improving the quality of health care services: Comparative study

2019 ◽  
Vol 127 ◽  
pp. 63-67 ◽  
Author(s):  
Omar Ayaad ◽  
Aladeen Alloubani ◽  
Eyad Abu ALhajaa ◽  
Mohammad Farhan ◽  
Sami Abuseif ◽  
...  
Keyword(s):  
Health Care ◽  
Comparative Study ◽  
Electronic Medical Records ◽  
Quality Of Health Care ◽  
Medical Records ◽  
Health Care Services ◽  
Care Services

scholarly journals NFC Based Electronic Medical Record

2019 ◽  
Vol 13 (03) ◽  
pp. 4
Author(s):  
Noor Cholis Basjaruddin ◽  
Edi Rakhman ◽  
Kuspriyanto Kuspriyanto ◽  
Mikhael Bagus Renardi
Keyword(s):  
Medical Record ◽  
Electronic Medical Records ◽  
Mobile Phones ◽  
Medical Records ◽  
Near Field ◽  
Near Field Communication ◽  
Important Data ◽  
Record System ◽  
Medical Record System ◽  
Beta Testing

Near Field Communication (NFC) technology enables mobile phones to store important data safely and reliably. The data can be sent to another phone equipped with NFC or read by NFC reader. Through special applications the data can also be added, subtracted, or modified. This NFC capability allows the phone to be developed into a device that can store important data such as e-money or electronic medical records. In this research has been developed medical record system based on Near Field Communication (NFC). The results of alpha and beta testing show that the developed application has good performance.

scholarly journals Mixed-methods feasibility study of blood pressure self-screening for hypertension detection

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e027986 ◽  
Author(s):  
Alice Tompson ◽  
Susannah Fleming ◽  
Mei-Man Lee ◽  
Mark Monahan ◽  
Sue Jowett ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Mixed Methods ◽  
Medical Record ◽  
Electronic Medical Records ◽  
Feasibility Study ◽  
Medical Records ◽  
Alternative Methods ◽  
Hypertension Detection ◽  
Technical Problems ◽  
The Cost

ObjectiveTo assess the feasibility of using a blood pressure (BP) self-measurement kiosk—a solid-cuff sphygmomanometer combined with technology to integrate the BP readings into patient electronic medical records— to improve hypertension detection.DesignA concurrent mixed-methods feasibility study incorporating observational and qualitative interview components.SettingTwo English general practitioner (GP) surgeries.ParticipantsAdult patients registered at participating surgeries. Staff working at these sites.InterventionsBP self-measurement kiosks were placed in the waiting rooms for a 12-month period between 2015 and 2016 and compared with a 12-month control period prior to installation.Outcome measures(1) The number of patients using the kiosk and agreeing to transfer of their data into their electronic medical records; (2) the cost of using a kiosk compared with GP/practice nurse BP screening; (3) qualitative themes regarding use of the equipment.ResultsOut of 15 624 eligible patients, only 186 (1.2%, 95% CI 1.0% to 1.4%) successfully used the kiosk to directly transfer a BP reading into their medical record. For a considerable portion of the intervention period, no readings were transferred, possibly indicating technical problems with the transfer link. A comparison of costs suggests that at least 52.6% of eligible patients would need to self-screen in order to bring costs below that of screening by GPs and practice nurses. Qualitative interviews confirmed that both patients and staff experienced technical difficulties, and used alternative methods to enter BP results into the medical record.ConclusionsWhile interviewees were generally positive about checking BP in the waiting room, the electronic transfer system as tested was neither robust, effective nor likely to be a cost-effective approach, thus may not be appropriate for a primary care environment. Since most of the cost of a kiosk system lies in the transfer mechanism, a solid-cuff sphygmomanometer and manual entry of results may be a suitable alternative.

scholarly journals The "Epic" Challenge of Optimizing Antimicrobial Stewardship: The Role of Electronic Medical Records and Technology

2013 ◽  
Vol 57 (7) ◽  
pp. 1005-1013 ◽  
Author(s):  
R. Kullar ◽  
D. A. Goff ◽  
L. T. Schulz ◽  
B. C. Fox ◽  
W. E. Rose
Keyword(s):  
Electronic Medical Records ◽  
Antimicrobial Stewardship ◽  
Medical Records

Informed Consent and Biobanks

2005 ◽  
Vol 33 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Ellen Wright Clayton
Keyword(s):  
Information Technology ◽  
Informed Consent ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Clinical Information ◽  
Information Resources ◽  
Biomedical Science ◽  
Research Setting ◽  
The Past

Biomedical research has always relied on access to human biological materials and clinical information, resources that when combined form biobanks. In the past, it appears that investigators sometimes used these resources with relatively little oversight, and without the consent of the individuals from whom these materials and information were obtained. Several developments in the last ten to fifteen years have converged to place greater emphasis on the role of individual consent in the creation and use of biobanks. The most important by far is the power of information technology, which has transformed our lives in almost every domain. In the research setting, it is now easy to abstract information from electronic medical records. Computers make it possible to analyze enormous datasets and have contributed in essential ways to the dramatic increases in our understanding of genomics and other areas of biomedical science.

scholarly journals The Role of DICOM in Artificial Intelligence for Skin Disease

2021 ◽  
Vol 7 ◽  
Author(s):  
Liam J. Caffery ◽  
Veronica Rotemberg ◽  
Jochen Weber ◽  
H. Peter Soyer ◽  
Josep Malvehy ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Electronic Medical Records ◽  
Skin Disease ◽  
Medical Records ◽  
Digital Health ◽  
Dicom Standard ◽  
Considerable Effort ◽  
Technological Transformation ◽  
Clinical Dermatology

There is optimism that artificial intelligence (AI) will result in positive clinical outcomes, which is driving research and investment in the use of AI for skin disease. At present, AI for skin disease is embedded in research and development and not practiced widely in clinical dermatology. Clinical dermatology is also undergoing a technological transformation in terms of the development and adoption of standards that optimizes the quality use of imaging. Digital Imaging and Communications in Medicine (DICOM) is the international standard for medical imaging. DICOM is a continually evolving standard. There is considerable effort being invested in developing dermatology-specific extensions to the DICOM standard. The ability to encode relevant metadata and afford interoperability with the digital health ecosystem (e.g., image repositories, electronic medical records) has driven the initial impetus in the adoption of DICOM for dermatology. DICOM has a dedicated working group whose role is to develop a mechanism to support AI workflows and encode AI artifacts. DICOM can improve AI workflows by encoding derived objects (e.g., secondary images, visual explainability maps, AI algorithm output) and the efficient curation of multi-institutional datasets for machine learning training, testing, and validation. This can be achieved using DICOM mechanisms such as standardized image formats and metadata, metadata-based image retrieval, and de-identification protocols. DICOM can address several important technological and workflow challenges for the implementation of AI. However, many other technological, ethical, regulatory, medicolegal, and workforce barriers will need to be addressed before DICOM and AI can be used effectively in dermatology.

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