Automated Interactive Patient History-Taking System: A Review (Preprint)

2021 ◽  
Author(s):  
Sunaina Anand ◽  
Anish Desai ◽  
Sunitha Mathew
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Health Information ◽  
Healthcare Providers ◽  
History Taking ◽  
Drug Reactions ◽  
Patient History ◽  
System A ◽  
Practice Of Medicine ◽  
Efficient Software

UNSTRUCTURED The process of history-taking has been challenging for India due to its booming population and severe scarcity of doctors. Inadequate patient history could lead to medication errors, adverse drug reactions and medication non-compliance. Innovations in health information technology (HIT) have great potential for improving the practice of medicine. An automated patient history is collected with the help of a computer. Physicians can use Artificial Intelligence (AI) to help with documentation, analysis of patient data while increasing precision, productivity, and efficacy of the physician. Healthcare providers are looking for regulatory compliant and efficient software for automated patient history taking. In telemedicine, automated history taking before consultation can save physician`s time, have more accurate history which will improve telemedicine experience for the patient especially in times of a pandemic like Coronavirus disease (COVID-19).

The Rise and Application of Artificial Intelligence in Healthcare

2021 ◽  
pp. 28-49
Author(s):  
Ivan Khoo Yi ◽  
Andrew Fang Hao Sen
Keyword(s):  
Artificial Intelligence ◽  
Financial Institutions ◽  
Molecular Level ◽  
Healthcare Providers ◽  
Pharmaceutical Companies ◽  
Healthcare Industry ◽  
Practice Of Medicine ◽  
Potential Benefits ◽  
Legal Professional ◽  
Medical Domain

The overall purpose of this chapter will be to broadly explore both the existing and possible implementations of artificial intelligence (AI) in healthcare. The scope of this chapter will be explored from the unique perspectives of various stakeholders in the healthcare industry, namely the healthcare providers, patients, pharmaceutical companies, healthcare financial institutions, and policymakers. The chapter will seek to identify the potential benefits and pitfalls that faced by these stakeholders in implementing the use of AI, from the molecular level to a macroeconomics level; as well as seeking to understand the legal, professional, and ethical boundaries of the medical domain that are challenged as AI increasingly becomes irreversibly intertwined with the practice of medicine.

scholarly journals Managing the patient safety risks of bottom-up health information technology innovations: Recommendations for healthcare providers

2018 ◽  
Vol 25 (1) ◽  
pp. 7-13 ◽  
Author(s):  
Mark A. Sujan
Keyword(s):  
Information Technology ◽  
Risk Management ◽  
Health Information Technology ◽  
Health Information ◽  
Management Strategies ◽  
Healthcare Providers ◽  
Local Health ◽  
Health It ◽  
Bottom Up ◽  
Patients At Risk

Health information technology (IT) offers exciting opportunities for providing novel services to patients, and for improving the quality and safety of care. Many healthcare professionals are already improving services through the development of numerous bottom-up local health IT innovations. Such innovations from the ground up are to be welcomed, but healthcare providers are struggling to develop processes for managing the risks that come with the introduction of health IT into clinical processes. I argue that too often the main strategy appears to be one of organisational ignorance. This puts patients at risk, and it threatens the successful adoption of health IT. I recommend that healthcare providers focus on strengthening their processes for organisational learning, promoting proactive risk management strategies, and making risk management decisions transparent and explicit.

Performance of Accountable Care Organizations: Health Information Technology and Quality–Efficiency Trade-Offs

2021 ◽  
Author(s):  
Chenzhang Bao ◽  
Indranil R. Bardhan
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Financial Incentives ◽  
Care Delivery ◽  
Healthcare Providers ◽  
Cost Of Care ◽  
Accountable Care Organizations ◽  
Accountable Care ◽  
Trade Offs

Under a traditional fee-for-service payment model, healthcare providers typically compromise the quality of care in order to reduce costs. Drawing on data from a national sample of accountable care organizations (ACOs), we study whether financial incentives offered under the Affordable Care Act led to fundamental changes in care delivery. Our research suggests that effective use of health information technology (IT) by ACO providers is critical in balancing competing goals of quality and efficiency. Unlike hospitals that did not participate in value-based care initiatives, ACOs were able to generate better quality outcomes while also improving overall efficiency. Furthermore, ACO providers that used health IT effectively demonstrated better patient health outcomes due to greater information integration with other providers. In other words, ACOs created value by not only reducing the cost of care but also improving patient outcomes simultaneously. Our research provides a roadmap for practitioners to succeed in a value-based healthcare environment and for policy makers to design better incentives to promote interorganizational information sharing across providers. Our findings suggest that healthcare policy needs to incorporate appropriate incentives to foster effective IT use for care coordination between healthcare providers.

The Implementation and Future Directions of e-Health Information Policy

2011 ◽  
Vol 3 (3) ◽  
pp. 1-9 ◽  
Author(s):  
Evagelia C. Lappa ◽  
Georgios A. Giannakopoulos
Keyword(s):  
Information Technology ◽  
Health Information ◽  
Medical Records ◽  
Healthcare Delivery ◽  
Healthcare Providers ◽  
Medical Knowledge ◽  
Classification Systems ◽  
Medical Decision ◽  
Sensitive Information ◽  
Medical Decision Support Systems

Information technology has the potential to transform working procedure in the health care sector. Clinicians have used Health Information Management and Technology (HIM&T) for more than two decades to assist in achieving better healthcare delivery outcomes. Medical knowledge is too complex for humans to master in a single mind, and to remember everything about each patient. Medical data consist of many kinds of data from different sources, requiring the development of many medical decision support systems. Creating and indexing records for hospitals and health systems present difficult challenges, because the medical records contain sensitive information. Increased computerization and other policy factors have contributed to privacy risks. Transforming from paper-based to Electronic Medical Records (EMR) allows healthcare providers to share information across their care ecosystem. Access to this digital lifeline, connecting the EMR to the digital web platforma, is critical to saving lives, preventing medical errors and improving efficiency of healthcare delivery. Choosing the international classification systems for patients, ICD, DRGs, grouped patients according to the resources consumption required for treatment and other clinical characteristics. Information Technology provides solutions to this problem. A vital element of healthcare delivery is to ensure that the patient is always at the centre of everything clinicians do.

Healthcare Information Technology

2021 ◽  
Vol 13 (4) ◽  
pp. 77-87
Author(s):  
Maja Baretić ◽  
Nikola Protrka
Keyword(s):  
Information Technology ◽  
Health Information ◽  
Cyber Security ◽  
Healthcare Providers ◽  
Cyber Attacks ◽  
Point Of View ◽  
Electronic Prescribing ◽  
Electronic Systems ◽  
Health It ◽  
Cyber Criminals

The term “health information technology” (health IT) refers to the electronic systems that store, share, analyze, and protect electronic health records. It includes also electronic prescribing, knowledge sharing, patient support tools, and mobile health technology together with decision-making algorithms. The privacy, security, and ethics of health information are priority for both patients and healthcare providers. The health IT is a target for cyber-criminals; stolen health information, or blackmailing via different kind of cryptolockers, is good on the black market. While the healthcare industry relies more on technology, cyber-attacks are threatening health IT. This article argues health IT issues from two perspectives. The first one is a physician's point of view aiming to improve quality of care using fast and accurate health IT. The second is the standpoint of cyber-security specialists aiming to protect data form cyber-criminals, continually developing new strategies and best practices.

scholarly journals Health Information Technology and Doctor Shopping: A Systematic Review

Healthcare ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 306
Author(s):  
Clemens Scott Kruse ◽  
Brady Kindred ◽  
Shaneel Brar ◽  
Guillermo Gutierrez ◽  
Kaleigh Cormier
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Data Sharing ◽  
Prescription Drugs ◽  
Meta Analysis ◽  
Healthcare Providers ◽  
Doctor Shopping ◽  
Prescription Drug Monitoring Programs ◽  
Shared Information

Doctor shopping is the practice of visiting multiple physicians to obtain multiple prescriptions. Health information technology (HIT) allows healthcare providers and patients to leverage records or shared information to improve effective care. Our research objective was to determine how HIT is being leveraged to control for doctor shopping. We analyzed articles that covered a 10-year time period from four databases and reported using preferred reporting items for systematic reviews and meta-analysis (PRISMA). We compared intervention, study design, and bias, in addition to showing intervention interactions with facilitators, barriers, and medical outcomes. From 42 articles published from six countries, we identified seven interventions, five facilitator themes with two individual observations, three barrier themes with six individual observations, and two medical outcome themes with four individual observations. Multiple HIT mechanisms exist to control for doctor shopping. Some are associated with a decrease in overdose mortality, but access is not universal or compulsory, and data sharing is sporadic. Because shoppers travel hundreds of miles in pursuit of prescription drugs, data sharing should be an imperative. Research supports leveraging HIT to control doctor shopping, yet without robust data sharing agreements, the efforts of the system are limited to the efforts of the entity with the least number of barriers to their goal. Shoppers will seek out and exploit that organization that does not require participation or checking of prescription drug monitoring programs (PDMP), and the research shows that they will drive great distances to exploit this weakest link.

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