Data Visualization in Healthcare

Data Visualization in Healthcare

Our health care industry is flooded with data and it keeps on adding with the advancement in industry. With so much information gathered most of it gets unnoticed. Health care professionals need relevant data more quickly which helps the health care professional in day to day decision making. Be it evidence base practice, patient history or a similar past case health care professional need it ASAP.

Why Doctors Hate EMRs

Why Doctors Hate EMRs

Today our lives are surrounded by technology and electronic devices. With just one click we can access information of whole world. Health system has also been digitalized in the past decade. New systems have been introduced into the health care to enhance the efficiency and efficacy of the health industry. The most noted system is EMR electronic medical records. So far it is considered the best system software as it consists of previous and present medical history of the patient with accurate notes that can be accessed anywhere in the world, but there are some characteristics that make doctors absolutely hate it.

Usability of Health Information Systems

Usability of Health Information Systems

The ever-growing health information generated by providers and physicians is managed by health information (HIT) systems. Health information technologies have revolutionized our health care systems. Software such as EHR (electronic health records) have introduced a new dimension in our health industry. We tend to see a lot of buzz around technologies and trends. There are many different types of HIT systems ranging from the development of administrative systems containing patient’s history, details and appointments to systems that support and manage different diagnoses like CPOE.

Transition of Hospitals and Pharmacies to CPOE

Transition of Hospitals and Pharmacies to CPOE

With the advancement in health care systems, the world is shifting towards better, faster and sustainable technologies. Health care systems are inclined towards a decrease in mortality rate, numerous errors have been reported by health care professionals in past due to misdiagnoses or by prescribing wrong medications. Of course, physicians/prescribers are human, and errors can be made when they must go through multiple steps for patients, including: • Prescribe • Transcribe • Administer • Monitor

Anxiety

Anxiety

Anxiety Disorders Overview Topics Objectives Explain to a patient the biological purpose of anxiety, signs/symptoms of anxiety and when anxiety symptoms become disordered anxiety Summarize the neurotransmitter systems and general brain systems that are involved in anxiety pathways Construct a patient work-up that points out risk factors for developing an anxiety disorder, potential alternate causes for anxiety symptoms and helpful lab investigations Distinguish between the different anxiety disorders including relative prevalence, symptomology and diagnostic criteria Compose goals of therapy for anxiety treatment in collaboration with a patient Explain the common non-pharm treatment modalities and their role in therapy to a patient Recommend pharmacologic treatment options to a HCP based on a patient case, incorporating guidelines, clinical judgement and patient-specific factors Create efficacy and safety endpoints specific to a patient Recommend a medication switching plan based on pharmacological and patient factors Discuss medication considerations for special populations and patients with specific comorbidities Study Materials Case: AP Annapura is a 31 year old cis-female who comes to your pharmacy with a prescription for sertraline.
Pharmacists in eHealth

Pharmacists in eHealth

This question has ever becoming a an inflating bubble since the health care systems are lingering into ehealth and health IT. Many primary care physicians have some kind of an EMR where they can properly and consistently manage their patients’ medical history, diagnoses, lab results, medications, etc.

Cloud Computing and eHealth

Cloud Computing and eHealth

Healthcare is evolving with digitization, where it tries to improve the quaility of care, reduce costs and financial burden, the volume of available structured and unstrcutured data has grown exponentially (1). Because of the sheer volume, variety and speed of data sharing, managers in the healthcare industry are facing two main problems: storage and data analysis (2).

To mitigate the aforementioned issues, cloud computing and cloud-based analytics could be of use. Pointing out four potential key benefits of cloud-based technology for healthcare: improving quality of patient care, patient engagement, clinical research and clinical operations (3).

Medication Management - Part4

Medication Management - Part4

The medication management model needs some adjustments and modifications. As we saw that the system is not perfect and research shows that unintended consequences occur in the system.