CLC Prototype Project
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School
Grand Canyon University *
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Course
436
Subject
Medicine
Date
Dec 6, 2023
Type
pptx
Pages
11
Uploaded by GrandMorning7506
PRIORITY PATIENT
Jerrod James, Cherilyn Smith, & Jennifer Townsend
2
Multiple portals containing important details about the patient limiting a detailed view of the patient’s overall health. THE PROBLEM
Photo retrieved from: https://dribbble.com/shots/11433513-
Sign-In-Sign-Up-Page-App-UI
WIREFRAME
Name:
John Doe
DOB: 09/30/1979 (43)
Gender: Male
Blood Type: A+
Organ Donor: Yes
Advance Directives: Yes (AdvancedDirectives.pd
f)
Insurance: BCBS
ID: 1234567
Emergency Contact: Jane Doe (Wife)
Phone: (580) 456-7899
EKG: Ordered by Dr. Smith for heart palpitations on 10/22/2021. Results: Sinus rhythm, no A-Fib detected. Scheduled to wear a heart monitor for one month to capture palpitations. Tonsillectomy: 03/06/1999 performed by Dr. Fisher. Removed tonsils due to continuous infection of tonsils. 3
PATIENT DEMOGRAPHICS
MEDICAL HISTORY
MEDICATIONS
LAB VALUES
APPOINTMENTS
PROGRESS NOTES
PATIENT DEMOGRAPHICS
MEDICAL HISTORY
MEDICATIONS
LAB VALUES
APPOINTMENTS
PROGRESS NOTES
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WIREFRAME
Comprehensive Metabolic Panel (04/01/2023)
Ordered by: Dr. Simon
Component Value Ref. Range
Glucose 73 70-
110 mg/dL
BUN 11 8-26 mg/dL
Creatinine 0.69 0.40-1.00 mg/dL
Potassium 3.9 3.5-5.2 mmol/L
Calcium 8.3 (L)
8.4-
ALLERGY ALERT: SULFA Current Medications:
•
Atorvastain 20mg daily (began therapy 08/20/21) for elevated cholesterol. Prescribed by: Dr. Simon
Discontinued Medications:
•
Acetazolamide (05/31/20) Allergic reaction – rash and difficulty breathing.
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PATIENT DEMOGRAPHICS
MEDICAL HISTORY
MEDICATIONS
LAB VALUES
APPOINTMENTS
PROGRESS NOTES
PATIENT DEMOGRAPHICS
MEDICAL HISTORY
MEDICATIONS
LAB VALUES
APPOINTMENTS
PROGRESS NOTES
WIREFRAME
Dr. Smith 10-22-2021
Patient was seen in clinic on 10/22/2021 for heart palpitations. EKG performed to check for atrial fibrillation. Results concluded patient was in regular sinus rhythm. Scheduled a heart monitor for one month to record these palpitations. Follow up in one month for results of monitor recordings. •
Dr. Simon – 05/20/2023 at 2:30. Routine yearly checkup (Synced to Google Calendar with reminder).
•
Dr. Smith - 04/16/2023 at 10:30 Follow up appointment.
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PATIENT DEMOGRAPHICS
MEDICAL HISTORY
MEDICATIONS
LAB VALUES
APPOINTMENTS
PROGRESS NOTES
PATIENT DEMOGRAPHICS
MEDICAL HISTORY
MEDICATIONS
LAB VALUES
APPOINTMENTS
PROGRESS NOTES
CHALLENGES
SECURITY
The preservation and security of data privacy in relation to sensitive patient health information is of paramount importance. A primary hurdle to overcome when incorporating an AI-driven patient portal is the assurance that patients' data remains safeguarded (Omar, 2021).
COSTS
AI systems require high-performance computing resources, including servers, storage systems, and high-speed internet connectivity. Developing AI systems requires specialized skills and expertise, including data science, and software engineering. Hiring skilled professionals or outsourcing development can be expensive. Additionally, achieving regulatory compliance can be time-
consuming and costly, particularly for smaller healthcare providers (Combi et al., 2022).
INTEGRATION
Integration with Emergency Health Record Systems (EHR): For a successful synchronization of patient portals and EHR systems, it is crucial to ensure the accuracy and currency of patient data (Enlitic, n.d.).
USER ADOPTION
Patient portals may present intricacy and cognitive overload to certain users, subsequently creating a learning curve (Combi et al., 2022).
6
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SOLUTION
To address these challenges, it’s critical to use secure encryption protocols to store and transfer patient data. It's also crucial to comply with data protection regulations such as HIPAA (Omar, 2021).
COSTS
Cloud-based solutions offer an affordable and scalable way to deploy AI systems, without the need for significant upfront investment in infrastructure. Implementing AI in a phased manner, starting with smaller-
scale pilot projects, can help healthcare providers minimize risk and control costs (Enlitic, n.d.).
INTEGRATION
One solution is to use standardized data formats and APIs to facilitate data exchange between the portal and EHR systems (Enlitic, n.d.).
USER ADOPTION
A simple product gives customers the
information they need in order to
stock their hospitals with the right equipment (Enlitic, n.d.) . Also, portals should be designed with simplicity and user-
friendliness in mind. It is essential to provide adequate training and support to medical staff ensuring that they are comfortable using the portal (Combi et al., 2022).
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SECURITY
REAL-WORLD EXAMPLES
VIRTUAL DOCTOR/NURSE
AI-powered capability to monitor patients remotely, read vitals, alert to abnormalities, and provide personalized recommendations based on their medical history and symptoms(Enlitic, n.d.).
DIAGNOSTICS
AI algorithms can examine medical images and scans, aiding in the identification of diseases such as cancer, heart disease, and stroke. This enables physicians to reach more precise diagnoses and create more efficient treatment strategies (Enlitic, n.d.).
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MEDICATION MANAGEMENT
Aids healthcare providers in making informed decisions about which medications to prescribe and at what dosages. AI algorithms also analyze a patient's medication history and flag potential drug interactions, which can help healthcare providers avoid prescribing medications that could cause harmful side effects. (Combi et al., 2022).
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PITCH DECK
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•
Ability to perform microscopic surgeries
•
Assist in the triage of patients
•
Virtual nursing assistants saving costs and lives
•
Administrative workflow assistance
•
Precision medication detecting the undetectable
REAL WORD EXAMPLES
This Photo
by Unknown Author is licensed under CC BY-NC-
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OUR COMPETITION
OUR ADVANTAGE
•
Singular product = singular focus
•
Affordability = marketability
•
Efficiency over popularity
COMPETITORS
•
Google Health/Deep Mind
•
Butterfly Network
•
Atomwise
•
Ada Health
10
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Combi, C., Amico, B., Bellazzi, R., Holzinger, A., Moore, J.H., Zitnik, M, &
Holmes, J.H.. (2022). A manifesto on explainability for artificial intelligence in
medicine. Artificial Intelligence In Medicine, 133. https://doi-org. lopes.idm.oclc.org/10.1016/j.artmed.2022.102423
Compunnel Digital. (2021). AI in Healthcare: Top 5 real-world related examples. Retrieved from https:www.compunneldigital.com/blog/ai-in-healthcare-top-5-real-world-examples/
Graham, C. (2022). Science daily. Science news. Robot performs first laparoscopic surgery without human
help. Retrieved from https://www.sciencedaily.com/releases/2022/01/220126143954.html
Omar, R. A. (2021). Unabashed bias: How health-care organizations can
significantly reduce bias in the face of unaccountable AI. Denver Law Review, 98(4), 807–837. https://lopes.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?
direct=true&db=a9h&AN=151985755&site=eds-live&scope=site
Reimagined healthcare requires reimagined intelligence. (n.d.). Enlitic Inc. https://enlitic.com/
The Medical Futurist. (2023). Artificial intelligence in medicine. Healthcare design. Top artificial
intelligence companies in healthcare to keep an eye on RESOURCES