Management Of Healthcare Organizations: An Introduction [EXCLUSIVE] Download
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Similar to EHR, an electronic medical record (EMR) stores the standard medical and clinical data gathered from the patients. EHRs, EMRs, personal health record (PHR), medical practice management software (MPM), and many other healthcare data components collectively have the potential to improve the quality, service efficiency, and costs of healthcare along with the reduction of medical errors. The big data in healthcare includes the healthcare payer-provider data (such as EMRs, pharmacy prescription, and insurance records) along with the genomics-driven experiments (such as genotyping, gene expression data) and other data acquired from the smart web of internet of things (IoT) (Fig. 1). The adoption of EHRs was slow at the beginning of the 21st century however it has grown substantially after 2009 [7, 8]. The management and usage of such healthcare data has been increasingly dependent on information technology. The development and usage of wellness monitoring devices and related software that can generate alerts and share the health related data of a patient with the respective health care providers has gained momentum, especially in establishing a real-time biomedical and health monitoring system. These devices are generating a huge amount of data that can be analyzed to provide real-time clinical or medical care [9]. The use of big data from healthcare shows promise for improving health outcomes and controlling costs.
While there are widespread questions on what is real in AI in healthcare today, this report looked at 23 applications in use today and provides case studies of 14 applications already in use. These illustrate the full range of areas where AI can have impact: from apps that help patients manage their care themselves, to online symptom checkers and e-triage AI tools, to virtual agents that can carry out tasks in hospitals, to a bionic pancreas to help patients with diabetes. Some help improve healthcare operations by optimizing scheduling or bed management, others improve population health by predicting the risk of hospital admission or helping detect specific cancers early enabling intervention that can lead to better survival rates; and others even help optimize healthcare R&D and pharmacovigilance. The scale of many solutions remains small, but their increasing adoption at the health-system level indicates the pace of change is accelerating. In most cases, the question is less whether AI can have impact, and more how to increase the potential for impact and, crucially, how to do so while improving the user experience and increasing user adoption.
The ability to download medical apps on mobile devices has made a wealth of mobile clinical resources available to HCPs.15 Medical apps for many purposes are available, including ones for electronic prescribing, diagnosis and treatment, practice management, coding and billing, and CME or e-learning.9,10 A broad choice of apps that assist with answering clinical practice and other questions at the point of care exist, such as: drug reference guides, medical calculators, clinical guidelines and other decision support aids, textbooks, and literature search portals.7,13,15 There are even mobile apps that simulate surgical procedures or that can conduct simple medical exams, such as hearing or vision tests.6,7 Many mobile apps are not intended to replace desktop applications, but are meant to complement them in order to provide a resource that has the potential to improve outcomes at the point of care.7 The use of medical apps has become frequent and widespread; 70% of medical school HCPs and students reported using at least one medical app regularly, with 50% using their favorite app daily.1,9
An additional advantage provided by information management apps is that they can be used in combination. For example, GoodReader can be connected to a cloud service, allowing PDF files to be downloaded from the cloud into the reader app.5 Evernote, as well as some other information management apps, can be used in conjunction with a cloud service and reader.5 This enables a PDF downloaded from the cloud to be viewed with a reader, then sections of the document can be cut and pasted into the information management app.5
According to the 2021 Annual Report on Revenue Cycle Automation1, 90% of healthcare financial leaders want automation systems built for healthcare revenue cycle management. When automation is not leveraged in revenue cycle management functions, it can be difficult to reallocate team members to patient outreach or other high impact functions. 2b1af7f3a8