Medical Informatics
The speed with which a computer processes information makes it a vital tool in information management. In all endeavors, the tool has transformed processes of handling information and data, thus, it is the main information technology tool. Computer is known to play critical roles in healthcare services transformation, as adjudged by consumers and healthcare experts (Garlan et al., 2014).
In healthcare management, information technology deployment has been a game changer. It has offered a mechanism that helps to improve reliability in the quality of healthcare. As evidenced in this paper, medical literature as well as health information is being packaged and efficiently delivered thanks to the vital role computer plays. With this powerful tool, we can easily access the Internet, whose communication system is dynamic and far-reaching. On virtually every field of endeavor therefore, the Internet influence is the most historic. In addition, there has been an exponential increase in information sources therein.
Most applications on healthcare communications and information technology require an electronic capture of clinical information that is patient-specific. For the last half a decade, the focus has been to create sustainable electronic health records (EHRs). As an essential technology for healthcare, the Institute of Medicine (IOM) called for computer-based patient records implementation across the nation. Throughout the healthcare system, their availability would be instantaneous. Physicians and other health care providers can easily understand the forms in which they are provided, even from a separate location. Nevertheless, since 1991 when the vision was set, there has been a glacial progress rate toward its realization.
The implementation of comprehensive EHR systems has not been satisfactory, with only a few hospitals that have executed. In such areas as lab results computerized reporting however, Brailer (2013) believes that many institutional settings have and are still making progress. The ambulatory care settings have the highest EHR systems adoption rates. In content and functionality, however, the content of these systems differ greatly (IOM, 2014). There have been some special documented cases where EHR systems have failed. All in all, a look at many other examples shows that these systems have yielded quality improvements and cost savings (Littlejohns et al., 2013)
Both public and private sectors have instituted EHRs in their healthcare settings. For data exchange among authorized users, such as patients, providers and suppliers, only a number of communities have executed the secure systems’ implementation. They include the Markle Foundation Healthcare Collaborative Network, National Benefit Trust Network Institute for Patient Safety, New England Healthcare Electronic Data Interchange Network, the Mayo Clinic, the Veterans Health Administration, among others, as outlined by CareScience, 2013. They support a variety of care, from inpatient areas, to ICUs (intensive care units).
Many services in most hospitals are still being transcribed on paper, such as lab tests and medication orders. These institutions have no capacity to deliver test results in automated forms. Majority of small practice settings fall under this category. They have little or no progress towards electronic record creation (IOM, 2014).
In regard to the patient’s daily life, long-term information and data must be included in a patient’s EHR. Such information is known to simplify progressive care planning and delivery. Moreover, it provides evidence that helps to assess various clinical interventions. For modelling and determining a system’s information needs, system-engineering techniques and tools are available. They help in evaluating performance of the system, in addition to delivering progressive care.
Electronic Health Records
From the whole health care community, there is what the patient prefers, and in the broadest sense, this must be the focus of any health care delivery that is patient-centered. Within the patients’ physical condition constraints, they expect the best possible mental and physical function in day-to-day living. ‘System’ is the key term here (coordinated care). It includes care in a long term care facility, skilled nursing and rehab facilities, home, hospital, or in the clinic. NHII, as put across by Patient Safety Institute (2014), is an initial stride towards information and data gathering necessary for coordinating care in the institutional setting.
The comprehensive core clinical applications for communications/information systems require large databases. To manage these databases is still a critical determinant. Select locations can be used to effectively manage them. However, there must be a continuous effort to create databases that are multi-agent, dispersed, and secure, and those that can efficiently serve both patients and providers (Patient Safety Institute).
There has been reduced transcription errors with the use of CPOE systems to enter orders for different procedures, drugs as well as tests. In patient safety, therefore, we can see demonstrable improvements. The impact of CPOE systems is accelerated further when they are integrated with other core-clinical apps. Computerized decision support is a major CPOE system component. Physicians can reduce prescribing errors significantly if they use systems that comprise data on drug interaction history or allergy, current medications, and patient diagnoses (Bates et al., 2016).
Clinicians easily comply with standard care guidelines with the help of CPOE systems, thus improving care quality. This reduces variations in care in return. Shojania et al., (2015) investigated the CPOE impact in their 2013 study. The aim was to investigate what happens when a vancomycin guideline use is combined with CPOE. From the results, the over-prescribed antibiotic use had declined by 31%. Teich et al., (2017) conducted a thorough research on CPOE at a Massachusetts hospital in 2016. From adverse drug events prevention, to drops in diagnostic studies, laboratory tests, and drug costs, the overall annual cost savings were approximately $9 million.
CPOE systems have many documented benefits, such as decline in overall costs, medication errors decrease, and patient care quality improvements. Their implementation has however lagged behind, despite these benefits. Ash et al., 2017 conducted a study to try and examine CPOE adoption across all US hospitals. The CPOE systems were partially or completely available in 30% of hospitals. There has been, however, some documented success stories, such as the Regenstrief Medical Record Systems and the notable Brigham and Women’s Hospital.
The effective CPOE systems use has faced multiple barriers as indicated by different studies. There has been reported lack of leadership commitment, high ongoing and fixed maintenance costs, concerns about reliability and accuracy, challenges with user-interface designs, and inadequate training and education of physicians. Another barrier is when CPOE systems integrate poorly with available work processes and information systems like decision-supporting tools and digital evidence sources. Challenges are also faced when coordinating new applications introduction. This happens especially among various care delivery functions and settings (Boodman, 2015)
Computerized Physician Order Entry Systems
These problems can however be addressed. For instance, the physician could customize patients’ template based on the current database. Standards that are based on evidence must be used as the “orders” for each patient. Lack of orders and results integration has been a major frequent cause of failures and errors to conduct planned treatments. The branching of logic based on outcomes can help to confirm whether every treatment step is accomplished or not. Apart from reducing errors, such as unnecessary waiting times, and missed handoffs, the described system would as well interrelate with enterprise systems for capacity planning and supply chain management (Garlan et al. 2014).
The way data and information are being handled in all fields of endeavor has undergone tremendous transformation, thanks to the use of computer. The world is rapidly becoming a global village through the internet and its several networks (Idowu et al., 2013). The revolution of information and communications technology has tremendously impacted the health professions. The most affected are the areas of information dissemination, analysis, retrieval, storage, and access. Computers have helped in clinical decision-making through the search and retrieval of important information for research. They help in management of hospitals together their records of patients, and have assisted in telemedicine, where patients are managed at a distance. Technological interventions have immensely improved clinical practice in general. They have thus led to the emergence of medical/health informatics, the field of applications that is new and rapidly growing (Bello et al. 2014).
Nevertheless, the above interventions have been seriously implemented only in the developed nations. The use of medical informatics is in high level in only some few developing countries. The digital divide has separated most in the developing world. The reasons for this separation include inflated cost of connectivity, software and hardware. Though on the rise, computer literacy and use is still below average. Within these communities, not much is understood in regard to the level of computer use.
Asangansi et al., (2012) used a section of doctors’ population in Nigeria to conduct his 2014 study. For information relating to their area of specialty, only 0.6% of the respondents searched the internet. However, 71% of the doctors agreed that the internet is now a major component of medical practice. Bello et al., (2014) based his study in Lagos, Nigeria, where he surveyed various medical students and health professionals. Only 27% of those surveyed owned a computer. An equal percentage did demonstrate their computer literacy.
Asangansi then visited a Nigerian teaching hospital to carry out a study among nursing and medical students. Those who could use a computer stood at just 42.7% of the students’ population sampled. The statistics, however, sharply contrasts to those obtained in the United States of America. A section of student doctors from the US were surveyed in a study that was conducted as early as 2008 (Idowu et al., 2013). The study revealed that computer literacy stood at 95%. The said respondents could comfortably use a computer. For dental and medical students in the Middle East and Europe, similar higher values have been observed. In 2014, a study carried out in California revealed that some specifically-designed patients’ management system software was used in 98% of practices (Aghajani, 2014). They assist with the everyday running of their businesses and help to record the clinical and patient consultation details. In a 2010 study, physicians across ten European and North American countries were surveyed (Monfared, et al., 2016). The percentage of those who owned a computer stood at 90%. From this percentage, 55% could easily access the internet (Kahooei and Soleimani, 2014). As identified, the home was their predominant place used to access the internet. These figures keep improving remarkably as shown by recent studies.
Barriers to Effective CPOE System Use
In regard to the use of EMRs in health care settings across Africa, very little is known in literature, similar to the internet access level between medical practitioners. The perception as well as skills level of those who run health informatics program determine its success. In Nigeria, provision for health development has been made through policy. The sector has however suffered many insufficiencies in terms of infrastructure deployment, training of staff, and funding by NITDA (Bello et al. 2014).
Some companies and tertiary institutions have spearheaded the development of Health Information Systems locally. To promote software development and local content creation, this must be encouraged for utilization. Such obstacles as inadequate telecommunication facilities, power failure, and inflated costs of ICT equipment are the major reasons why Nigeria is lagging behind in hospital information systems management. The obstacles have slowed down the process of adopting and infusing ICT in hospitals as cited by Leapfrog Group (2016).
Banking is one sector that has migrated from the old manual ways. Likewise in the healthcare delivery, there should be a smooth adoption of ICT. The US government for instance, never involved itself in the health care delivery, until the mid-20th century. Health facilities were offered for free to the poor. This was the responsibility of social reformers and philanthropists. The federal administration later contemplated on the need to offer a health care system of high quality for free. The Nigerian administration embraced a similar system in 2005. As identified by Chaudhry et al. (2016), it was known as the National Health Insurance Scheme (NHIS).
The scheme’s creation arguably needs to start with the ICT introduction in health care facilities. Once fully implemented, ICT improves the healthcare system delivery and reduces the costs of running hospitals. A computer system is used to store all patients’ data in US hospitals (Ash et al. 2017). With a patient’s every visit to the hospital, the system is consequently updated. Several files must be checked physically, in Nigerian case, to identify how many patients paid a visit to a certain hospital. This process could take a while. Keeping of proper records is not even possible for hospitals that are not based on research, as advised by Kind et al., (2015) In an attempt to solve referral system in Nigerian hospitals, a few university researchers have come up with relevant systems (Kind et al. 2015). Implementation of this system is yet to be completed because the Nigerian authorities are still reluctant in showing interest in hospitals direct ICT investments.
Hospital directors are used to directly purchasing various health information systems used. In some hospitals, there are available online services, where permitted medical practitioners (clinical professionals, nurses, and doctors) can obtain information regarding the best practice, and the modern health research when there is need to (United Nations Development Program, 2013). Within the same hospital, however, physicians are not allowed to share patients’ files. Additionally, none of the public or teaching Nigerian hospitals have an electronic booking service.
The hospital of the future is very promising. It could have drugs that warn patients if they mistake the pills and beds enabled to help monitor patients. Researchers in the USA have come up with some of these ideas with an aim of improving patients’ treatment. The Center for Pervasive Computing commissioned a team of students from Aarhus University to investigate the suitability of computer software and hardware (Bardram, 2013). They have found that most of them are not suitable for hospital use. For the doctors and nurses’ future use, the team is rather working on adapting the technology.
A big desktop with plenty of room is required for computer technology, which is designed for office use. At the Center for Pervasive Computing, Dr. Jakob Bardram, the research manager, explains what the working environment looks like in a hospital. That doctors and nurses never sit down. They spend all the time walking about the whole hospital.
Aarhus University researchers have attempted to obtain the most out of the hospitals’ computer technology. They have come up with an example of a popular and so-called intelligent bed as explained by Garlan et al. (2014). Computers have been installed into these hospital beds. They are equipped with sensors to help in patient monitoring and are capable of automatically adjusting the bed position. Patients’ notes can be displayed by a screen found in the bed prototypes. Therefore, there is no need for carrying a handheld computer by doctors. Likewise, medical records paper copy won’t be required on the bed anymore.
The team has learnt to use security technology applicable in banks and has designed smart pens. This has been a collective effort to ensure that patients’ records can only be accessed by the authorized medical staff. To ensure that nurses and doctors identify themselves to every display, the focus now is to try and embed chips in pens to be used by these medical personnel as asserted by Christensen and Bardram (2014). Much is being done to use smart technology to ensure the access of relevant drugs by patients. Into pill boxes are tiny computers fixed comparable to a small coin. When a nurse passes by the bed of the patient to whom the pill box belongs, computer would beep or light. With the use of computers equivalent to a needle’s head, this is a step further covered by these researchers. Dr. Bardram admitted that they are finalizing experiments on putting computers into the pills themselves. In such a scenario, the pill can easily communicate with the pill container. Having implemented that, the doctors can be confident about the kind of medications given to patients.
Conclusion
There has been a continuous change and evolution of healthcare technology. If a hospital is to remain on top and keep up, it has to adopt modern technology trends. The trends should then be incorporated into treatment of patients. As always, care quality becomes more vital to survival as well as profitability. From this paper and various literature reviewed, there is need to include training on basic computer skills in every medical school curriculum, especially in the developing world. Employees’ personal computer acquisition should be adequately supported by health authorities and hospitals. Further research is required to identify factors that play a key role in the use of computers among health practitioners in developing countries.
References
Ash JS, Gorman RN, Hersh WR. Proceedings/AMIA Annual Symposium. Bethesda, Md: American Medical Informatics Association; 2017. Physician Order Entry in U.S. Hospitals; pp. 235–239.
B. Chaudhry, J. Wang, W. Shinyi, et al. Systematic review: impact of health information technology on quality, efficiency and costs of medical care. Annals of Internal Medicine. 2016;144:742-752.
B. Monfared, et al., “Telemedicine and electronic health,” Informatics Institute of Biomedical Engineering Persia of Network. pp. 225, 2016.
Bates DW, Teich JM, Lee J, Seger D, Kuperman GJ, Ma’Luf N, Boyle D, Leape L. The impact of computerized physician order entry on medication error prevention. Journal of the American Medical Informatics Association. 2016;6(4):313–321.
Boodman SG. Washington Post: March 22, 2015. Not Quite Fail-Safe; Computerizing Isn’t a Panacea for Dangerous Drug Errors, Study Shows; p. F.01.
Brailer DJ. Use and Adoption of Computer-Based Patient Records in the United States: A Review and Update. PowerPoint presentation to the IOM Committee on Data Standards for Patient Safety; Irvine, California. January 23, 2013.
CareScience. Santa Barbara County Care Data Exchange. 2013. Available online at: https://www.carescience.com/healthcare_providers/cde/care_data_exchange_santabarbara_cde.shtml.
D. Garlan, D. P. Siewiorek, A. Smailagic, and P. Steenkiste. Project Aura: Toward Distraction-Free Pervasive Computing. IEEE Pervasive Computing, 1(2):22–31, Apr. 2014.
H.B. Christensen and J. E. Bardram. Supporting human activities – exploring activitycentered computing. In G. Borriello and L. E. Holmquist, editors, Proceedings of Ubicomp 2014: Ubiquitous Computing, volume 2498 of Lecture Notes in Computer Science, pages 107–116, G¨oteborg, Sweden, Sept. 2014. Springer Verlag.
I. A. Asangansi, O. O. Adejoro, O. Farri and O. Makinde. Computer use among doctors in Africa: survey of trainees in a Nigerian teaching hospital. Journal of Health Informatics in Developing Countries. 2012;2(1): 10-14.
I. S. Bello, F. A. Arogundade, A. A. Sanusi, I. T. Ezeoma, E. A. Abioye-Kuteyi, A. Akinsola. Knowledge and utilization of information technology among healthcare professionals and students in Ile-Ife, Nigeria: A case study of a University Teaching Hospital. Journal of Medical Internet Research. 2014;6(4): e45.
Idowu, B., Ogunbodede, E., & Idewo, B. (2013). Information and Communication technology in Nigeria: The health sector experience. Journal of information Technology Impact 3 (2), 69-76
IOM. Washington, D.C: National Academies Press; 2014. Patient Safety: Achieving a New Standard of Care.
J. E. Bardram. Supporting Mobility and Collaboration in Ubiquitous Computing. Technical Report CfPC 2013–PB–38, Center for Pervasive Computing, Aarhus, Denmark, 2013. Available from https://www.pervasive.dk/publications.
Leapfrog Group. Leapfrog Patient Safety Standards: The Potential Benefit of Universal Adoption. 2016. Available online at: https://www.leapfroggroup.org.
Littlejohns P, Wyatt JC, Garvican L. Evaluating computerised health information systems: hard lessons still to be learnt. British Medical Journal. 2013;326(7394):860–863.
M. Aghajani, “Analytical and comparative study of hospital information systems,”Medicine and Islam, 10th year,vol. 47, pp. 36-29, 2014.
M. Aghajani, “Analytical and comparative study of hospital information systems,”Medicine and Islam, 10th year,vol. 47, pp. 36-29, 2014.
M.KahooeiandM. Soleimani, “Behavior and satisfaction of the nurses and other hospital ward personnel about the effectiveness of computer systems of hospital information on caring process,”Health Information Management, vol. 4, no. 2, pp. 202, 2014
Patient Safety Institute. Presentation to the 5th National HIPAA Summit—Beyond HIPAA: Clinical Data Standards and the Creation of an Interconnected Electronic Health Information Infrastructure; 2015. Available online at: https://www.ehcca.com/presentations/HIPAA5/walker.pdf
Shojania KG, Yokoe D, Platt R, Fiskio J, Ma’luf N, Bates DW. Reducing vancomycin use utilizing a computer guideline: results of a randomized controlled trial. Journal of the American Medical Informatics Association. 2015;5(6):554–562.
T. Kind, Z. Huan, D. Farr, K. Pomerantz. Internet and computer access and use for health information in an underserved community. Ambulatory Pediatric. 2015;5(2):117-121. PMID: 15780014.
Teich JM, Merchia PR, Schmiz JL, Kuperman GJ, Spurr CD, Bates DW. Effects of computerized physician order entry on prescribing practices. Archives of Internal Medicine. 2017;160(18):2741–2747.
United Nations Development Programme. (2013). World Development Report. Retrieved from https://www.undp.org/hdr200/english/HDR2000.html
Order an Essay Now & Get These Features For Free:
Turnitin Report
Formatting
Title Page
Citation
Outline
