Information technology in the future of health care

Artificial intelligence in emergency medicine. A systematic literature review

Motivation and objective: Emergency medicine is becoming a popular application area for artificial intelligence methods but remains less investigated than other healthcare branches. The need for time-sensitive decision-making on the basis of high data volumes makes the use of quantitative technologies inevitable. However, the specifics of healthcare regulations impose strict requirements for such applications. Published contributions cover separate parts of emergency medicine and use disparate data and algorithms. This study aims to systematize the relevant contributions, investigate the main obstacles to artificial intelligence applications in emergency medicine, and propose directions for further studies.

METHODS

The contributions selection process was conducted with systematic electronic databases querying and filtering with respect to established exclusion criteria. Among the 380 papers gathered from IEEE Xplore, ACM Digital Library, Springer Library, ScienceDirect, and Nature databases 116 were considered to be a part of the survey. The main features of the selected papers are the focus on emergency medicine and the use of machine learning or deep learning algorithms.

FINDINGS AND DISCUSSION

The selected papers were classified into two branches: diagnostics-specific and triage-specific. The former ones are focused on either diagnosis prediction or decision support. The latter covers such applications as mortality, outcome, admission prediction, condition severity estimation, and urgent care prediction. The observed contributions are highly specialized within a single disease or medical operation and often use privately collected retrospective data, making them incomparable. These and other issues can be addressed by creating an end-to-end solution based on human-machine interaction.

CONCLUSION

Artificial intelligence applications are finding their place in emergency medicine, while most of the corresponding studies remain isolated and lack higher generalization and more sophisticated methodology, which can be a matter of forthcoming improvements.

Artificial intelligence assisted assessment of endoscopic disease activity in inflammatory bowel disease

Assessment of endoscopic disease activity can be difficult in patients with inflammatory bowel disease (IBD) [comprises Crohn's disease (CD) and ulcerative colitis (UC)]. Endoscopic assessment is currently the foundation of disease evaluation and the grading is pivotal for the initiation of certain treatments. Yet, disharmony is found among experts; even when reassessed by the same expert. Some studies have demonstrated that the evaluation is no better than flipping a coin. In UC, the greatest achieved consensus between physicians when assessing endoscopic disease activity only reached a Kappa value of 0.77 (or 77% agreement adjustment for chance/accident). This is unsatisfactory when dealing with patients at risk of surgery or disease progression without proper care. Lately, across all medical specialities, computer assistance has become increasingly interesting. Especially after the emanation of machine learning – colloquially referred to as artificial intelligence (AI). Compared to other data analysis methods, the strengths of AI lie in its capability to derive complex models from a relatively small dataset and its ability to learn and optimise its predictions from new inputs. It is therefore evident that with such a model, one hopes to be able to remove inconsistency among humans and standardise the results across educational levels, nationalities and resources. This has manifested in a handful of studies where AI is mainly applied to capsule endoscopy in CD and colonoscopy in UC. However, due to its recent place in IBD, there is a great inconsistency between the results, as well as the reporting of the same. In this opinion review, we will explore and evaluate the method and results of the published studies utilising AI within IBD (with examples), and discuss the future possibilities AI can offer within IBD.

Is Canada ready for patient accessible electronic health records? A national scan

Background

Access to personal health information through the electronic health record (EHR) is an innovative means to enable people to be active participants in their own health care. Currently this is not an available option for consumers of health. The absence of a key technology, the EHR, is a significant obstacle to providing patient accessible electronic records. To assess the readiness for the implementation and adoption of EHRs in Canada, a national scan was conducted to determine organizational readiness and willingness for patient accessible electronic records.

Methods

A survey was conducted of Chief Executive Officers (CEOs) of Canadian public and acute care hospitals.

Results

Two hundred thirteen emails were sent to CEOs of Canadian general and acute care hospitals, with a 39% response rate. Over half (54.2%) of hospitals had some sort of EHR, but few had a record that was predominately electronic. Financial resources were identified as the most important barrier to providing patients access to their EHR and there was a divergence in perceptions from healthcare providers and what they thought patients would want in terms of access to the EHR, with providers being less willing to provide access and patients desire for greater access to the full record.

Conclusion

As the use of EHRs becomes more commonplace, organizations should explore the possibility of responding to patient needs for clinical information by providing access to their EHR. The best way to achieve this is still being debated.

Regional health information organizations: a vehicle for transforming health care delivery?

Information technology (IT) has the potential to be a significant enabler in transforming the health care delivery system. New types of organizations are needed to guide the change. Regional Health Information Organizations (RHIOs) hold promise as agents for transformation. This essay discusses the results from a case study on how RHIOs are advancing IT adoption in the health care community. Results indicate that the RHIO model is early in its evolution. To be a catalyst of change, the RHIO must overcome privacy barriers, actively engage purchasers of care, and create compelling incentives for clinicians to adopt the RHIOs' services.

Characterizing cancer information systems

The objective is to determine the extent to which information systems (IS) for cancer are unique and necessary. Via an analysis of Medical Subject Headings used to index relevant literature and other bibliometric techniques, cancer IS are compared and contrasted with IS of other specialties. Cancer IS are relatively little discussed and primarily connect radiation equipment with the radiation oncology staff. By contrast, clinical laboratory and radiology IS are frequently discussed and connect specialized equipment to the hospital. A "Specialty Need" model accounts for these patterns and says that the "need for a specialty IS" is proportional to the "uniqueness of the specialty tools" plus the "degree to which the information from those tools is needed throughout the particular health care entity".

Use of electronic medical records in Oman and physician satisfaction

The Electronic Medical Record (EMR) is a computerized record of clinical, demographic and management information. EMR is an enabling technology that allows physicians to utilize quality improvement processes in the practice of medicine. Oman is one of the Middle Eastern Countries that has implemented an integrated electronic hospital information system at government health care institutions. The system was first applied in primary health care centers and then implemented in hospitals. Survey research highlights factors that affect physician satisfaction and utilizing of this new technology in a hospital setting. Outcome survey data suggests areas for improvement. Specific concerns about patient confidentiality are discussed as well as quality improvement in patient care.

Web based provider education for competency of scope of practice (Best Practice): Medicine Department Safe training is a computer based review program (de' medri)

Medicine Department Safe training is a computer based review program named de'medici and it is an employee training program. This annual review packet serves as a generic training tool. All health-care providers with direct patient care are required by state law to complete a group of 11 modules and pass a mandatory training test to assess proficiency in these areas. They include emergency preparedness, life and fire safety, electrical safety, working safety with hazardous materials, back safety, violence in the workplace, latex allergy prevention, preventing TB in the workplace, preventing AIDS and hepatitis B and C in the workplace, radiation safety, and age related care for health-care workers.

Web Based Health Education, E-learning, for Weight Management

Obesity is a major health problem across the United States and becoming a progressive world wide problem. An overweight person could access the weight management program and develop a personalized weight reduction plan. The customer enters specific data to personalize the program and in the future an artificial intelligence program can evaluate customer behavior and adjust accordingly. This is an on-line program with class room support, offered as back up when desired by the patient.

Database application of digital medical X-rays and labs: computerization, storage, retrieval, interpretation, and distribution

Stenter lets the health care worker order an X-ray that is produced as a computer image rather than on flat film. The health care provider can be in any location with the correct equipment, and view the digital image. The dimensions of this discussion are extensive. The cost savings because of reduced media and storage cost is substantial. Health care quality can be improved because of the ability to obtain consultation via telemedicine and the enhanced ability to track medical problems over time via trends. The major downside is the limited cost imbursement system to pay for technology. Unfortunately, this may impact on the improved quality of care. In simple terms someone needs to pay for the technology and the quality of health care needs to be maintained or improved. The real cost to the health care systems needs to be correctly calculated and inappropriate charging kept to a minimum. Specific costs need to be kept in mind and the first is the cost for new staff or staff training. The number of health care providers that are able to read the X-ray can be enlarged remembering that only American Board Certified Radiologists are allowed to give the final recommendation. How do we view the cost of missing something? It could be argued that this risk will be reduced because of improved technology for obtaining the digital X-ray and improved enhancement software. One way to view this situation is to include technology, management, and organization. The cost and benefits occur through the interplay of all three dimensions. The development of digital imaging hardware and artificial intelligence software will demand change in the management and organization. The organization will require changes in its design to accommodate the technology as to support and resources. Management will evolve to include methods for control and monitoring this technology. Business processes and standard operating procedures will change to integrate the technology into the organization in the most effective and efficient manner.

Mini medical record application: annual register for flu shot vaccinations

This application is an Intranet-based system. A database has been established utilizing patient information on the basis of age, medical diagnosis and employment history. If a health care provider or support staff states that a patient is over 65 years of age or has been diagnosed with a chronic disease and this limits the patient's ability to fight off infection, the need for preventive care is activated. In this situation the preventive care is the administration of an annual flu shot. For anyone over 65 years of age or with a chronic illness, a bulk mail of reminder cards with the dates of availability of injection is generated and mailed. All health care workers are notified at work of vaccination sites that they can use. In addition, should a patient have an appointment with a provider and a preventive flu injection is indicated, a reminder appears on the registration form. This reminder indicates a flu shot is needed as well as other preventive intervention.