Physician satisfaction with electronic medical records (EMRs): Time for an intelligent health record?

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 318-318
Author(s):  
Ajeet Gajra ◽  
Dewilka Simons ◽  
Yolaine Jeune-Smith ◽  
Amy W. Valley ◽  
Bruce A. Feinberg
Keyword(s):  
Medical Records ◽  
Healthcare Delivery ◽  
Data Entry ◽  
Community Setting ◽  
Clinical Information ◽  
Data Access ◽  
Physician Satisfaction ◽  
Remote Access ◽  
Direct Patient Care ◽  
Cancer Management

318 Background: EMRs are devised to improve the quality and efficiency of healthcare delivery and to reduce medical errors. Despite the widespread use of EMRs, various factors can limit their effectiveness in improving healthcare quality. General EMR use has been cited as a factor contributing to increased workload and clinician burnout in oncology and other specialties. The objective of this qualitative research study was to identify barriers perceived by medical oncologists and hematologists (mO/H) in utilizing EMR software and factors associated with levels of satisfaction. Methods: Between January and April 2021, mO/H from across the U.S. were invited to complete a web-based survey about various trends and critical issues in oncology care. Demographics about the physicians and characteristics of their practices were captured as well in the survey. Responses were aggregated and analyzed using descriptive statistics. Results: A total of 369 mO/H completed the survey: 72% practice in a community setting; 47% identified as a hospital employee; they have an average of 19 years of clinical experience and spend on average 86% of their working time in direct patient care, seeing 17 patients per day on average on clinic days. Most (99%) of mO/H surveyed use an EMR software at their practice, with Epic (45%) and OncoEMR (16%) being the most common. Regarding satisfaction, 16% and 50% reported feeling highly satisfied and satisfied, respectively, with their current EMR, and 3% and 11% reported feeling very dissatisfied or dissatisfied, respectively. Some (19%) stated that they have considered changing their EMR, and 68% are unsure how EMR licensing fees for their practice are paid. EMR pain points most commonly experienced were: time-consuming, e.g., too many steps/click (70%); interoperability, e.g., difficulty sharing information across institutions or other EMR software (45%); data entry issues, e.g., difficulty entering clinical information, scheduling patient visits and reminders, or ordering multiple labs (38%); and poor workflow support (31%). The most useful aspects/features of their EMR software reported were availability of information, e.g., preloaded protocols, chemotherapy regimens and pathways (64%); data access (64%); and multiple access points, including remote access (37%). Conclusions: Satisfaction with EMR were generally positive among the mO/H surveyed. However, there are multiple deterrents to the efficient use of current EMR systems. This information is essential in the design of next-generation EMR (an Intelligent Medical Records system) to allow for incorporation of aspects most useful to the end-users, such as pathway access, preloaded information on cancer management as well as ease of access and portability, and a user experience that minimizes clicks and reduces physician time with EMR.

Optimizing the Use and Adoption of Healthcare Information Systems

2017 ◽  
pp. 49-61
Author(s):  
Wilfred Bonney
Keyword(s):  
Information Systems ◽  
Translational Research ◽  
Medical Records ◽  
Healthcare Delivery ◽  
Healthcare Providers ◽  
Clinical Information ◽  
Healthcare Information ◽  
Health Records ◽  
Healthcare Information Systems ◽  
Information And Communication

Advancements in Information and Communication Technology (ICT) have led to the development of various forms of electronic records to support general practitioners and healthcare providers in capturing, storing, and retrieving routinely collected medical records and/or clinical information for optimal primary care and translational research. These advancements have resulted in the emergence of interoperable Healthcare Information Systems (HIS) such as Electronic Health Records (EHRs), Electronic Medical Records (EMRs) and Personal Health Records (PHRs). However, even as these systems continue to evolve, the research community is interested in understanding how the use and adoption of HIS can be optimized to support effective and efficient healthcare delivery and translational research. In this chapter, a systematic literature review methodology was used not only to explore the key benefits and technical challenges of HIS, but also to discuss the optimization approaches to maximizing the use and adoption of HIS in healthcare delivery.

Optimizing the Use and Adoption of Healthcare Information Systems

2016 ◽  
pp. 136-152 ◽  
Author(s):  
Wilfred Bonney
Keyword(s):  
Information Systems ◽  
Translational Research ◽  
Medical Records ◽  
Healthcare Delivery ◽  
Healthcare Providers ◽  
Clinical Information ◽  
Healthcare Information ◽  
Health Records ◽  
Healthcare Information Systems ◽  
Information And Communication

Advancements in Information and Communication Technology (ICT) have led to the development of various forms of electronic records to support general practitioners and healthcare providers in capturing, storing, and retrieving routinely collected medical records and/or clinical information for optimal primary care and translational research. These advancements have resulted in the emergence of interoperable Healthcare Information Systems (HIS) such as Electronic Health Records (EHRs), Electronic Medical Records (EMRs) and Personal Health Records (PHRs). However, even as these systems continue to evolve, the research community is interested in understanding how the use and adoption of HIS can be optimized to support effective and efficient healthcare delivery and translational research. In this chapter, a systematic literature review methodology was used not only to explore the key benefits and technical challenges of HIS, but also to discuss the optimization approaches to maximizing the use and adoption of HIS in healthcare delivery.

scholarly journals An interview study with medical scribes on how their work may alleviate clinician burnout through delegated health IT tasks

2021 ◽  
Author(s):  
Brian D Tran ◽  
Kathryn Rosenbaum ◽  
Kai Zheng
Keyword(s):  
No Value ◽  
Data Entry ◽  
Clinical Information ◽  
Direct Patient Care ◽  
Clinical Settings ◽  
Health It ◽  
Clinical Workflow ◽  
Semistructured Interviews ◽  
The Us ◽  
Medical Scribes

Abstract Objectives To understand how medical scribes’ work may contribute to alleviating clinician burnout attributable directly or indirectly to the use of health IT. Materials and Methods Qualitative analysis of semistructured interviews with 32 participants who had scribing experience in a variety of clinical settings. Results We identified 7 categories of clinical tasks that clinicians commonly choose to offload to medical scribes, many of which involve delegated use of health IT. These range from notes-taking and computerized data entry to foraging, assembling, and tracking information scattered across multiple clinical information systems. Some common characteristics shared among these tasks include: (1) time-consuming to perform; (2) difficult to remember or keep track of; (3) disruptive to clinical workflow, clinicians’ cognitive processes, or patient–provider interactions; (4) perceived to be low-skill “clerical” work; and (5) deemed as adding no value to direct patient care. Discussion The fact that clinicians opt to “outsource” certain clinical tasks to medical scribes is a strong indication that performing these tasks is not perceived to be the best use of their time. Given that a vast majority of healthcare practices in the US do not have the luxury of affording medical scribes, the burden would inevitably fall onto clinicians’ shoulders, which could be a major source for clinician burnout. Conclusions Medical scribes help to offload a substantial amount of burden from clinicians—particularly with tasks that involve onerous interactions with health IT. Developing a better understanding of medical scribes’ work provides useful insights into the sources of clinician burnout and potential solutions to it.

Implementing Internet of Things in a Remote Patient Medical Monitoring System

2018 ◽  
Vol 6 (8) ◽  
pp. 159 ◽  
Author(s):  
Ifeoma V. Ngonadi
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Medical Records ◽  
Research Work ◽  
Healthcare Delivery ◽  
Vital Signs ◽  
Personal Digital Assistant ◽  
Computer Applications ◽  
Medical Monitoring ◽  
Remote Patient

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Remote patient monitoring enables the monitoring of patients’ vital signs outside the conventional clinical settings which may increase access to care and decrease healthcare delivery costs. This paper focuses on implementing internet of things in a remote patient medical monitoring system. This was achieved by writing two computer applications in java in which one simulates a mobile phone called the Intelligent Personal Digital Assistant (IPDA) which uses a data structure that includes age, smoking habits and alcohol intake to simulate readings for blood pressure, pulse rate and mean arterial pressure continuously every twenty five which it sends to the server. The second java application protects the patients’ medical records as they travel through the networks by employing a symmetric key encryption algorithm which encrypts the patients’ medical records as they are generated and can only be decrypted in the server only by authorized personnel. The result of this research work is the implementation of internet of things in a remote patient medical monitoring system where patients’ vital signs are generated and transferred to the server continuously without human intervention.

scholarly journals Serum IL-35 is decreased in overweight patients with rheumatoid arthritis: its correlation with Th1/Th2/Th17-related cytokines

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yuxuan Li ◽  
Yang Jie ◽  
Xiaofei Wang ◽  
Jing Lu
Keyword(s):  
Rheumatoid Arthritis ◽  
Medical Records ◽  
Clinical Information ◽  
Serum Cytokines ◽  
Healthy Donors ◽  
Potential Biomarker ◽  
Tnf Α ◽  
Ifn Γ ◽  
Quantitative Changes ◽  
Anti Inflammatory Cytokine

Abstract Background Obesity is correlated with worse drug responses and high disease activity in patients with rheumatoid arthritis (RA). Interleukin (IL)-35 is a novel anti-inflammatory cytokine that mainly produced by regulatory T (Treg). This study was performed to analyze whether IL-35 was correlated with obesity in RA and investigate the correlation between other Th1/Th2/Th17-related cytokines and obesity in RA. Results The serum IL-35 level was analyzed in RA (n = 81) and healthy donors (n = 53) by ELISA assay, and was compared between three groups (body mass index (BMI) < 18.5,≥18.5 to 25, > 25). Serum cytokines including IL-2, IL-4, IL-10, IL-17, INF-γ, TNF-α levels were measured using Flowcytometry assay. Clinical information was extracted from medical records. Serum IL-35 level in overweight patients were significantly decreased than those in lean patients. Furthermore, Th1/Th2/Th17-related cytokines from overweight patients with RA showed the characteristic immunological features. Serum IL-6, IL-17 and TNF-α levels were positively correlated with BMI. However, serum IL-2, IL-4, IL-10 and IFN-γ concentrations were not correlated with BMI. Conclusions Quantitative changes in serum IL-35 level were characteristic in overweight patients with RA. These findings indicate that IL-35 plays an important role in the development of RA and may prove to be a potential biomarker of active RA.

ILIS--An integrated laboratory information system. I. Biochemistry and hematology.

1982 ◽  
Vol 28 (2) ◽  
pp. 271-276 ◽  
Author(s):  
S U Deshpande
Keyword(s):  
Medical Records ◽  
Data Entry ◽  
Large Data ◽  
Work Load ◽  
Processing Unit ◽  
Patient Identification ◽  
Central Processing ◽  
Cathode Ray Tubes ◽  
Clinical Laboratories ◽  
On Line

Abstract IBM System 34 (central processing unit, 128 kilobytes; fixed disks, 128.4 megabytes) with seven cathode-ray tubes has been used by our clinical laboratories for the last 30 months. All data-entry programs are in a conversational mode, for on-line corrections of possible errors in patient identification and results. Daily reports are removed from the medical records after temporary and permanent cumulative weekly reports are received, which keep a three-month track of the results. The main advantages of the system are: (a) the increasing laboratory work load can be handled with the same staff; (b) the volume of the medical record files on the patients is decreased; (c) an easily retrievable large data base of results is formed for research purposes; (d) faster billing; and (e) the computer system is run without engaging any additional staff.

Hospital Management of Indirect Neonatal Hyperbilirubinemia by the Office-Based Physician

1991 ◽  
Vol 12 (9) ◽  
pp. 259-260
Keyword(s):  
Patient Care ◽  
Medical Records ◽  
Clinical Information ◽  
Hospital Management ◽  
Neonatal Hyperbilirubinemia ◽  
Unconjugated Hyperbilirubinemia ◽  
Record Keeping ◽  
The Subject ◽  
Hospitalized Patient ◽  
Record Review

Unconjugated hyperbilirubinemia in the newborn is the subject of the Record Review Guidebook prepared by the American Board of Pediatrics that accompanies this issue of Pediatrics in Review. Review of personal medical records will be part of the recertification examination to be given in 1993. This section of the journal focuses on record-keeping to assist our readers with their own patient care and to help them prepare for the examination. Care of the jaundiced newborn often involves management of a hospitalized patient by a physician who spends most of his or her time in an office away from the hospital. Details on the baby's hospital course are recorded in the nursery chart, but clinical information is often phoned to the office and immediate action may be necessary.

Intelligent Techniques for Analysis of Big Data About Healthcare and Medical Records

2022 ◽  
pp. 431-454
Author(s):  
Pinar Kirci
Keyword(s):  
Operating System ◽  
Big Data ◽  
Electronic Medical Records ◽  
Data Storage ◽  
Medical Records ◽  
Data Access ◽  
Efficient Solutions ◽  
Unstructured Data ◽  
Distributed File System ◽  
Healthcare Industry

To define huge datasets, the term of big data is used. The considered “4 V” datasets imply volume, variety, velocity and value for many areas especially in medical images, electronic medical records (EMR) and biometrics data. To process and manage such datasets at storage, analysis and visualization states are challenging processes. Recent improvements in communication and transmission technologies provide efficient solutions. Big data solutions should be multithreaded and data access approaches should be tailored to big amounts of semi-structured/unstructured data. Software programming frameworks with a distributed file system (DFS) that owns more units compared with the disk blocks in an operating system to multithread computing task are utilized to cope with these difficulties. Huge datasets in data storage and analysis of healthcare industry need new solutions because old fashioned and traditional analytic tools become useless.

scholarly journals Completeness and accuracy of anthropometric measurements in electronic medical records for children attending primary care

2018 ◽  
Vol 25 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Sarah Carsley ◽  
Catherine S. Birken ◽  
Patricia C. Parkin ◽  
Eleanor Pullenayegum ◽  
Karen Tu
Keyword(s):  
Primary Care ◽  
Body Mass Index ◽  
Electronic Medical Records ◽  
Body Mass ◽  
Medical Records ◽  
Data Access ◽  
World Health ◽  
Z Score ◽  
Data Completeness ◽  
Weight Data

BackgroundElectronic medical records (EMRs) from primary care may be a feasible source of height and weight data. However, the use of EMRs in research has been impeded by lack of standardisation of EMRs systems, data access and concerns about the quality of the data.ObjectivesThe study objectives were to determine the data completeness and accuracy of child heights and weights collected in primary care EMRs, and to identify factors associated with these data quality attributes.MethodsA cross-sectional study examining height and weight data for children <19 years from EMRs through the Electronic Medical Record Administrative data Linked Database (EMRALD), a network of family practices across the province of Ontario. Body mass index z-scores were calculated using the World Health Organization Growth Standards and Reference.ResultsA total of 54,964 children were identified from EMRALD. Overall, 93% had at least one complete set of growth measurements to calculate a body mass index (BMI) z-score. 66.2% of all primary care visits had complete BMI z-score data. After stratifying by visit type 89.9% of well-child visits and 33.9% of sick visits had complete BMI z-score data; incomplete BMI z-score was mainly due to missing height measurements. Only 2.7% of BMI z-score data were excluded due to implausible values.ConclusionsData completeness at well-child visits and overall data accuracy were greater than 90%. EMRs may be a valid source of data to provide estimates of obesity in children who attend primary care.

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