Medixcel EMR is a browser-based hospital management software which can be deployed on both i. LAN and cloud, as per the requirement.
This hospital management system has been developed not only to help clinics or hospitals but every medical stakeholder i. Medixcel hospital software is known for its flexibility as it makes the workflow hassle-free. However, its key feature is that it helps in storing and using EMR-electronic medical records effectively. Get Free Demo. It caters to all the minor and major functionalities of a super speciality hospital. It helps the hospital management in taking informed decisions with easy access to critical information.
Its five modules namely, out-patient management, in-patient management, financial accounting, Hospital inventory management , diagnostic ensures patient care and hospital work efficiency ensure complete hospital management. Moreover, the data security is backed by its robust database system. Aarogya Price: Aarogya offers free trial support. Paid plans available on request at the official website. It has all the features required to manage patient, doctor, administration, finance and accounting related work.
You can opt for free trial support to check the suitability of the product to your hospital establishment. It comes with detailed features, so you need not integrate it with third-party systems. Mediface Price: Pricing information is available on request at the official website. With more than forty modules, it automates all hospital processes and supports every function in a hospital that you can think of.
HospiLogix HMS software has the capacity to serve a hospital with 60 to beds. This hospital management software is also NABL compliant for laboratory management. Its clientele consists of hospital, clinic and lab chains. The assists them in increasing revenue and optimizing the patient-care process. The hospital management software streamlines operations and reduces inventory leakage.
Also, it streamlines insurance processes by automatically calculating the amount and reducing it from the bill. IMS is one of the best hospital administration software for all those clinics that are planning to upgrade their services with new practice management and electronic medical record solution.
This hospital management solution is compatible with both Window and iOS devices. Apart from the basic hospital management features, it provides a wide range of commonly used medical forms.
Intelligent Medical Software Price: The hospital management information system offers a free trial version. Paid plan version available at request. As the name goes, this hospital management software in India makes tele consultation simpler. From booking an appointment to making payment, everything takes place in the virtual world.
And the software has been giving patients a wonderful experience via its telemedicine facility. Practitioners and patients can connect to each other from the comfort of their couch. However, if the problem is such that it is not possible to diagnose virtually, the option of in-office appointment is also there.
Developed using advanced technology, Medstar HIS is compatible with all mobile devices. MediSteer is a cloud-based hospital management solution, which is revolutionizing the medical billing system.
It aims to reduce your pain of manual billing with minimal paperwork, by automating the whole billing process and giving you more time for patient care. MediSteer is equally efficient when it comes to filing an insurance claim, making monthly statements, storing patient data safely. The mHealth feature of this hospital management system allows you to assess chart on the go and schedule tele visits through mobile devices.
MyNapier is a cloud-based hospital management system, which is fully configurable and has user-friendly features.
This cloud-based HMS provides self-service functionality, ensuring easy navigation through modules. Electronic medical record EMR technologies make data accessible to doctors and patients.
Thus, healthcare setups can deliver superior patient care and give a boost to their revenue. Further, it can be configured with existing tools and technologies in your healthcare setup to promote operational efficiency. Whether you use Windows, Mac or Android systems, this software works with all.
MyNapier Price: MyNapier price information available on request with the vendor. ProMed is a cross-platform hospital management system, which helps manage all clinical and administrative data with precision. The software creates a robust online platform for managing all healthcare data securely and intelligently. Big data analysis is already a growing practice in the healthcare sector, and solutions like ProMed is making it accessible to all.
With the healthcare sector getting more competitive than ever, hospitals need to move from volume-based service to value-based patient care. Caresoft HIS allows healthcare organizations to enhance their operational efficiency and deliver the best service at reduced costs.
Healthcare providers can enjoy more value for the money they spend in enhancing patient care. This hospital management system is a smart choice for any healthcare setup trying to enhance its brand reputation and expand its service. Uniwide HIMS is a web-based hospital management software, which includes features for managing all healthcare facilities.
Additionally, it assists with other functionalities like CRM, pharmacy, laboratory and inventory management. With the complete hospital information management package of Uniwide, hospital administrators and medical staff can take care of all aspects of operational efficiency and patient care.
Different departmental operations can be managed with reduced manual efforts, making everything streamlined for patients, doctors and other stakeholders. MocDoc HMS is a viable healthcare management solution for clinics and hospitals of all sizes. It ensures value-integrated healthcare functionalities with customized hospital management system modules for patient, doctor and process management.
This solution helps hospital administrators improve their information management and customer service with the power of automation. It incorporates all important features that are demanded by their counterparts in the healthcare sector. MocDoc Price: MocDoc has a free trial version. Managing a hospital across different locations is not an easier task.
Thanks to solutions like Win Apps hospital management system that helps to keep track of every process related to patients, doctors and the admin staff.
It provides customizable plans depending on the facilities available in your healthcare setup. The software also helps with pre-billing and extensive third-party billing. Win Apps Price: Free trial available. From electronic data interchange to practice management, NextGen HMS is going to be your companion at every stage of hospital management.
It comes with a different set of features for a small and large healthcare setup to achieve expected results in terms of patient care and revenue. NextGen HMS provides an online patient portal, which helps with appointment scheduling, secure messaging and virtual visits. This helps in creating a personalized outreach for patients who can interact with doctors anytime and from anywhere. NextGen Price: F ree trial version is available.
Miracle HIS is backed by the latest technologies to make the process of hospital management hassle-free and paperless. Whether you run a large hospital or a small-scale nursing home, this software is apt for all.
We hope that this information will help researchers during the software selection process and motivate them to provide complete information about specific software employed in HSR studies. The information should be used with the recognition that our study had certain methodological limitations.
For example, some articles contained insufficient information to determine whether or not statistical software was used or which software application was employed. In addition, our analysis did not attempt to qualitatively assess the merits of particular software applications relative to one another or to evaluate their suitability for different analytical uses. Because we used only three HSR journals for the study, results might not be entirely representative of the software usage patterns throughout the entire United States or in specific HSR sub-disciplines, such as health economics.
Nevertheless, this study represents perhaps the nation's first attempt to systematically identify the most commonly used statistical software in HSR and provides unique baseline data with which to potentially inform similar attempts to understand software usage practices in other fields.
The authors have no financial or other competing interests relating to the conduct of this study or its publication.
AD was responsible for the overall design and conduct of this study and was the principal manuscript author. JP oversaw all data collection, was primarily responsible for the data analysis, and participated in the review and authoring of the manuscript.
LG collected data, input the data into an analytic data base, and helped to review the manuscript. All authors read and approved the final manuscript. In his experience supervising doctoral students and other health services researchers, he has frequently fielded inquiries from investigators about which statistical software packages are typically used, or ought to be used, in the health services research field.
Funds for this study were obtained from internal institutional sources. Tom Wickizer provided suggestions and helped review portions of this study. National Center for Biotechnology Information , U. Published online Oct 6. Author information Article notes Copyright and License information Disclaimer.
Corresponding author. Allard E Dembe: ude. Received Dec 7; Accepted Oct 6. This article has been cited by other articles in PMC. Abstract Background This study aims to identify the statistical software applications most commonly employed for data analysis in health services research HSR studies in the U. Methods Data were extracted from a sample of 1, articles including original research articles published between and in three U. Results Only Conclusions The findings highlight a need for HSR investigators to identify more consistently the specific analytical software used in their studies.
Background Health services research HSR is a highly interdisciplinary field that employs a variety of quantitative and qualitative methods. Methods Because our focus was on acquainting research trainees in the United States with available statistical software, we selected articles only from U. Results There were articles in which the use of specific statistical software applications was mentioned. Open in a separate window.
Authorship Non-U. Discussion There is little information available about what kind of statistical software is used in the HSR field or, for that matter, in other academic disciplines. Conclusions The intention of this brief report is to provide health services researchers with general information about the most common types of statistical software used in HSR, describe recent trends in software usage, identify variations in use of software among researchers in the U.
Competing interests The authors have no financial or other competing interests relating to the conduct of this study or its publication. Authors' contributions AD was responsible for the overall design and conduct of this study and was the principal manuscript author. Acknowledgements and funding Funds for this study were obtained from internal institutional sources.
Statistical software for today and tomorrow. Choosing reliable statistical software. San Francisco. SAS Institute Inc; A comparative study of the reliability of nine statistical software packages.
Exploring the role of GIS during community health assessment. International Journal of Health Geographics. The popularity of data analysis software. Bailar JC, Mosteller F. Guidelines for statistical reporting in articles for medical journals.
Annals of Internal Medicine. Guidelines for reporting statistics in journals published by the American Physiological Society. Physiological Genomics. Philadelphia: ACP Press; Reporting statistical methods and statistical results in EUR. European Journal of Neuroscience. PhD Dissertation. Kansas State University; Examining the reliability of logistic regression estimation software.
This study aims to identify the statistical software applications most commonly employed for data analysis in health services research HSR studies in the U. The study also examines the extent to which information describing the specific analytical software utilized is provided in published articles reporting on HSR studies.
Data were extracted from a sample of 1, articles including original research articles published between and in three U. HSR journals, that were considered to be representative of the field based upon a set of selection criteria. Descriptive analyses were conducted to categorize patterns in statistical software usage in those articles. The data were stratified by calendar year to detect trends in software use over time.
Only HSR journals identified the particular type of statistical software application used for data analysis. Stata and SAS were overwhelmingly the most commonly used software applications employed in However, SAS use grew considerably during the study period compared to other applications. Stratification of the data revealed that the type of statistical software used varied considerably by whether authors were from the U.
The findings highlight a need for HSR investigators to identify more consistently the specific analytical software used in their studies. Knowing that information can be important, because different software packages might produce varying results, owing to differences in the software's underlying estimation methods.
Peer Review reports. Health services research HSR is a highly interdisciplinary field that employs a variety of quantitative and qualitative methods. While many statistical software applications are available to health services researchers, there is no accepted norm in the profession regarding which software product to use for HSR studies.
To the best of our knowledge, there is no publicly available software that has been designed specifically for use in HSR studies although some applications, such as MedCalc, are designed primarily for biomedical analyses. Rather, researchers are free to choose whatever software program is deemed to be most appropriate for use in a particular study, given the study's analytical needs. Additionally, the training and experience of analysts performing the calculations often affects which software is chosen.
This study aims to determine which software packages are most commonly used for HSR studies, based on a review of published articles from U. HSR journals. We originally undertook this study to help doctoral students at our university become better informed about some of the major statistical software products that are available, particularly to research trainees in the U. Spreadsheet applications such as Microsoft Excel Microsoft Corporation, Redmond, Washington are also commonly used for statistical analysis.
There are also dozens of other statistical software products used for HSR purposes. A listing of the most widely-used statistical analysis software is provided on several internet sites [ 1 ]. Many HSR investigators, particularly junior investigators new to the field, are often uncertain about which software programs to adopt. Attempts have been made by some authorities to evaluate the relative merits and limitations of the various software programs [ 2 — 5 ].
However, the choice of a particular software package for a particular HSR study generally will be dependent on the study's specific computational needs, the investigators' skills and experience, and their judgment about the suitability of a particular software application for a specific analysis. This study provides researchers with information about the specific statistical software packages that are most frequently used in the HSR field. Three-year trends in use of statistical software by health services researchers are also presented.
Additionally, we document the extent to which published articles contain sufficient information about the type of statistical software used in HSR studies. This study does not attempt to evaluate the relative merits of particular software products for various analytical purposes.
Because our focus was on acquainting research trainees in the United States with available statistical software, we selected articles only from U. We employed a semi-structured review process to select the journals for the study. Our principal criterion was that the journal be squarely focused on health services research, emphasizing original research articles in that field. However, "health services research" is a broad term that encompasses a variety of research issues in the general health care domain.
For that reason, we decided to exclude journals that only focus on a segment of HSR e. We also excluded journals with a strong clinical care orientation e. HSR community. Arguments could be made for the inclusion of other journals also fitting these criteria. But practical considerations involving the time and money needed to conduct this labor-intensive study which required careful reading of more than 1, articles by our research team limited our ability to include additional titles.
The investigators obtained copies of every article that was published in Health Services Research , Medical Care , and Medical Care Research and Review during calendar years , , and In all, there were a total of 1, articles published in those three journals combined between January 1, and December 31, We assumed that the type of articles most likely to involve the use of statistical software were original research articles.
Therefore, we excluded editorials, review articles, commentaries, panel presentations, communications, and meta-analyses.
That resulted in the exclusion of articles. Among the remaining original research articles, articles contained no mention of the particular statistical software used. There were multiple reasons why articles failed to identify the specific software utilized: a some articles mentioned the type s of analyses conducted but did not identify the specific software used for those analyses, b some articles did not describe the type of analyses performed or the specific analytical methods used, and c some studies employed quantitative or qualitative methods that did not require the use of statistical software.
The remaining articles contained at least one mention of a specific statistical software application used for data analysis. Among the articles, we identified and recorded the specific software application s mentioned in each article along with the relevant software version number and release date. However, the exact software procedure used by the researchers was rarely provided and thus we were unable to collect substantial data in that area. Each article was read by one of the study investigators LG to obtain and input the data, and a second investigator JP re-read the articles and checked the recorded data to verify the accuracy of the entries.
We stratified results by journal and by calendar year of publication. Because the focus of this study was on HSR software usage in the U. However, when we began collecting data from each article, we observed that there were large variations in software usage patterns depending on whether the article's authors were foreign or resident to the U. This was an unexpected finding and one we thought might have general interest and possibly suggests by us or others a more extensive analysis of international trends in statistical software usage for the future.
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