Randomized Controlled Trial (RCT) is used for inpatient tablet-based patient portal including analysis of mixed method. This approach studies the change in patient self-efficacy and helps in managing chronic conditions. High- tech and high- touch are used to improve the provision of an inpatient patient portal and training intervention for self-management (Wünderlich, Wangenheim & Bitner, 2013). HTT digital approaches utilize the My Chart Bedside (MCB) and My Chart Ambulatory (MCA) patient details to assist patients in managing their chronic problems. My Chart Bedside (MCB) is an inpatient detail of patient that can be used to access their data at a hospital that has developed the technology. MCB approach is developed to provide patients and families’ access to information customized for patients. This also includes a care plan for the day, materials for health education, and a place to take notes and access to educational data. MCB is the patient based on Web ambulatory give access to data but is mainly focused on outpatient care functions. Health summary of the patient, a listing of medication, immunization, data entry of patient health, tracking of appointment, and information related to financial management of the patient all are included in My Chart Ambulatory (Lavallee, Wicks, Alfonso Cristancho & Mullins, 2014).
Digital media are any media that are determined in machine-readable formats. Digital media can be formed, viewed, circulated, changed and preserved on digital electronics devices (Helsper & Eynon, 2010).
Electronic Medical Record (EMR)
The electronic medical record means everything we find in a paper chart, like the history of medical, medications, diagnoses, check-up dates, and allergy. EMR person work will be limited because they do not travel outside the practice. In EMR record the patient’s data can be printed out and mailed to another provider (Hsiao, Hing, Socey & Cai, 2010).
The digital records of health data are called an electronic health record. They contain all the information. Electronic health record includes a medical history of the patient, progress notes, and lot more. They also contain other information such as insurance data, demographic information, and data imported from personal devices. Electronic health record helps easy access to health information providers to coordinate and take decisions (Cebul, Love, Jain & Hebert, 2011).
Electronic Health Records (EHR) |
Electronic Medical Records (EMR) |
1. Provide health information digitally. |
Provide a digital type of chat. |
2. (EHR) share efficient and real-time data. |
Not share data outside the individual practice. |
3. Permit the patient to take medical information with them. |
Do not permit the patient to take medical information. |
4. (EHR) allows providers to take a decision. |
Mainly used by providers for diagnosis and cure. |
Advantages of EHR
Healthcare Analytic System: – An effective population health management should achieve and measure the settings like a hospital, a nursing facility by a skilled person, a doctor’s office, patient’s home and a long-term care facility. Because of the changing financial and medical requirements of providing care in these different areas, technology sellers have focussed their products for each of these care settings. To develop an enterprise data warehouse (EDW) is the finest technique to calculate the revenue, costs and the quality of the care given in these numerous care settings (Chan & Woo, 2010).
Healthcare Adoption System: – Healthcare medical system delivery products must develop an organized approach to adopting new information and making it available to clinicians in a way that makes it easy to do the correct thing. A reliable tool to affect change throughout a company takes a lot of effort to develop. It gives administrative sponsorship from the CEO and clinically focused improvement teams involvement of doctors, nurses, and administration information technology. Organizations that can effectively accept change are those that sustain in a dynamic environment (Boyle, Thompson, Gregg, Barker & Williamson, 2010).
References
Boyle, J. P., Thompson, T. J., Gregg, E. W., Barker, L. E. & Williamson, D. F. (2010). Projection of the year 2050 burden of diabetes in the US adult population: dynamic modeling of incidence, mortality, and prediabetes prevalence. Population health metrics, 8(1), 29.
Brabham, D. C. (2010). Moving the crowd at Threadless: Motivations for participation in a crowdsourcing application. Information, Communication & Society, 13(8), 1122-1145.
Cebul, R. D., Love, T. E., Jain, A. K. & Hebert, C. J. (2011). Electronic health records and quality of diabetes care. New England Journal of Medicine, 365(9), 825-833.
Chan, R. S. & Woo, J. (2010). Prevention of overweight and obesity: how effective is the current public health approach. International journal of environmental research and public health, 7(3), 765-783.
Dranove, D., Forman, C., Goldfarb, A. & Greenstein, S. (2014). The trillion dollar conundrum: Complementarities and health information technology. American Economic Journal: Economic Policy, 6(4), 239-70.
Furukawa, M. F., King, J., Patel, V., Hsiao, C. J., Adler-Milstein, J. & Jha, A. K. (2014). Despite substantial progress in EHR adoption, health information exchange and patient engagement remain low in office settings. Health Affairs, 33(9), 1672-1679.
Helsper, E. J. & Eynon, R. (2010). Digital natives: where is the evidence?. British educational research journal, 36(3), 503-520.
Hood, L. & Flores, M. (2012). A personal view of systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory. New biotechnology, 29(6), 613-624.
Hsiao, C. J., Hing, E., Socey, T. C. & Cai, B. (2010). Electronic medical record/electronic health record systems of office-based physicians: the United States, 2009 and preliminary 2010 state estimates. National Center for Health Statistics, 2001-2011.
Huser, V., Narus, S. P. & Rocha, R. A. (2010). Evaluation of a flowchart-based EHR query system: A case study of RetroGuide. Journal of biomedical informatics, 43(1), 41-50.
Lavallee, D. C., Wicks, P., Alfonso Cristancho, R. & Mullins, C. D. (2014). Stakeholder engagement in patient-centered outcomes research: high-touch or high-tech?. Expert review of pharmacoeconomics & outcomes research, 14(3), 335-344.
Menachemi, N. & Collum, T. H. (2011). Benefits and drawbacks of electronic health record systems. Risk management and healthcare policy, 4, 47.
Park, S. (2012). Dimensions of digital media literacy and the relationship with social exclusion. Media International Australia, 142(1), 87-100.
Wünderlich, N. V., Wangenheim, F. V. & Bitner, M. J. (2013). High tech and high touch: a framework for understanding user attitudes and behaviors related to smart interactive services. Journal of Service Research, 16(1), 3-20.
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